Abstract: Sreekumar R. Bhaskaran (“ Consumer Mental Accounts and Implications to Selling Base Products and Add-ons ”) is an assistant professor of operations management at the Cox School of Business, Southern Methodist University. He has a B.E. in mechanical engineering from the Indian Institute of Technology Madras, an MBA in operations and marketing from the Indian Institute of Management Calcutta, and a Ph.D. in supply chain and operations management from the McCombs School of Business, University of Texas at Austin. His primary research interests include new product development, supply chain management, and marketing and operation interfaces. His work has previously appeared in Management Science, Marketing Science, and Production and Operations Management. Dondeena Bradley (“ Further Examining the Impact of the NLEA on Nutrition ”) is the Vice President, Global R & D and Nutrition Ventures, at PepsiCo, where she is responsible for designing new solutions that target the special needs of consumers with diverse health and nutrition challenges. Prior to joining PepsiCo in 2007, she held numerous roles in the areas of strategy, nutrition, and health with Johnson & Johnson, Mars Inc., the Stepan Company, and the Campbell Soup Company. She received her Ph.D. in food science from The Ohio State University, her M.S. in nutrition from Purdue University, and her B.S. from Anderson University. Dipankar Chakravarti (“ Bidding Behavior in Descending and Ascending Auctions ”) is a professor of marketing at the Johns Hopkins Carey Business School, where he served as Vice Dean, Programs, and is also a professor emeritus at the University of Colorado, Boulder, where he was the Ortloff Professor of Business. He holds a Ph.D. in industrial administration from Carnegie Mellon University and has taught previously at the University of Arizona, Duke, and University of Florida. His current research examines marketing and consumer behavior issues in emerging economies, with a focus on the psychology of consumption in poverty and development. His research on consumer and managerial decision making in marketing contexts has been published in the field's leading scholarly journals and received several significant academic recognitions. Among his other contributions to the marketing field are two sons—one a practitioner and the other an academic; he also has three grandsons who he hopes will also publish in Marketing Science one day. Amar Cheema (“ Bidding Behavior in Descending and Ascending Auctions ”) is an associate professor of marketing at the McIntire School of Commerce, University of Virginia. He received his Ph.D. from the University of Colorado, Boulder. His research interests include auctions and online purchase behavior, pricing and promotion effects, behavioral decision theory, and word-of-mouth influences. Lesley Chiou (“ How Does the Use of Trademarks by Third-Party Sellers Affect Online Search? ”) is an associate professor of economics at Occidental College. She received her Ph.D. in economics from the Massachusetts Institute of Technology. She is interested in industrial organization and applied econometrics, and her research focuses on online advertising and competition in the retail sector. Martijn G. de Jong (“ State-Dependence Effects in Surveys ”) holds a Chair in Marketing Research at the Erasmus School of Economics, Erasmus University, and is a Tinbergen Research Fellow. He has a B.Sc. and M.Sc. in econometrics from Erasmus University and a Ph.D. in marketing from Tilburg University. He is mainly interested in consumer preference measurement; often his research is cross-cultural in nature, relying on large-scale data sets. He received several major research grants, including an NWO (Netherlands Organization for Scientific Research) innovation grant. His awards include the J. C. Ruigrok Prize (awarded once every four years to the most productive young scholar in the Economic Sciences in the Netherlands) and the Christiaan Huygens Science Award (presented by HRH Princess Máxima of the Netherlands; awarded once every five years to a young economist in the Netherlands). Sanjiv Erat (“ Consumer Mental Accounts and Implications to Selling Base Products and Add-ons ”) is an assistant professor of innovation, technology, and operations management at the Rady School of Management, University of California, San Diego. He has a B.E. in computer science from the Indian Institute of Technology Madras and a Ph.D. in operations management from the College of Management, Georgia Institute of Technology. His primary research interests include new product development, marketing and operation interfaces, and behavioral economics. His work has previously appeared in Management Science. Rosellina Ferraro (“ Unintended Nutrition Consequences: Firm Responses to the Nutrition Labeling and Education Act ”; “ From Consumer Information Regulation to Nutrition Competition: A Response ”) is an associate professor of marketing at the Robert H. Smith School of Business, University of Maryland. Her research focuses on consumer behavior—specifically, on the effects of social influence on choice and preference and the effects of external threats on consumption behavior. Her work has been published in the Journal of Consumer Research, Journal of Marketing, and Journal of Consumer Psychology. She serves on the editorial review board for the Journal of Consumer Research and was named a 2011 MSI Young Scholar. Joel Huber (“ Unintended Nutrition Consequences: Firm Responses to the Nutrition Labeling and Education Act ”; “ From Consumer Information Regulation to Nutrition Competition: A Response ”) is the Alan D. Schwartz Professor of Business Administration at the Fuqua School of Business at Duke University. He has a B.A. from Princeton University and an MBA and Ph.D. from the Wharton School of the University of Pennsylvania. His research centers on ways relatively minor changes in the competitive context can have a large impact on market choice and the impact of this context dependency on appropriate ways to measure value. Recent work has focused on valuation of environmental changes, insurance programs, and health systems. He has been an associate editor for the Journal of Consumer Research for 12 years and the editor of Journal of Marketing Research for 3 years. Sanjay Jain (“ Self-Control and Incentives: An Analysis of Multiperiod Quota Plans ”) is a professor and the JCPenney Chair of Marketing and Retailing Studies at the Mays Business School, Texas A & M University. His research interests are in the areas of competitive strategy, behavioral economics, and experimental game theory. His research has been published in the Journal of Marketing Research, Management Science, and Marketing Science. He is an associate editor for Management Science and serves on the editorial boards of the Journal of Marketing Research and Marketing Science. Kevin Lane Keller (“ Economic and Behavioral Perspectives on Brand Extension ”) is the E. B. Osborn Professor of Marketing at the Tuck School of Business at Dartmouth College. His academic resume includes degrees from Cornell, Duke, and Carnegie Mellon universities, award-winning research, and faculty positions at the University of California at Berkeley, Stanford, and the University of North Carolina. His textbook, Strategic Brand Management, has been adopted at the top business schools and leading firms around the world. He is also the coauthor (with Philip Kotler) of the all-time best-selling introductory marketing textbook, Marketing Management. Donald R. Lehmann (“ State-Dependence Effects in Surveys ”) is the George E. Warren Professor of Business at the Columbia Business School. He has a B.S. in mathematics from Union College, Schenectady, NY, and an MSIA and Ph.D. from the Krannert School of Purdue University. His research interests include individual and group choice and decision making, empirical generalizations and meta-analysis, the introduction and adoption of new products and innovations, and measuring the value of marketing assets such as brands and customers. He has published numerous journal articles and six books. He was the founding editor of Marketing Letters; has served on the editorial boards of the Journal of Consumer Research, the Journal of Marketing, the Journal of Marketing Research, Management Science, and Marketing Science; and has served as executive director of the Marketing Science Institute and as president of the Association for Consumer Research. Christine Moorman (“ Unintended Nutrition Consequences: Firm Responses to the Nutrition Labeling and Education Act ”; “ From Consumer Information Regulation to Nutrition Competition: A Response ”) is the T. Austin Finch, Sr. Professor of Business Administration at the Fuqua School of Business, Duke University. She has published research on consumers, managers, and organization learning and the use of information in a range of marketing strategy and public policy contexts. Founder of the CMO Survey, author of the book Strategy from the Outside In: Profiting from Customer Value (recipient of the 2011 Berry Book Prize), and winner of the Paul D. Converse award, she has also served as a trustee for the Marketing Science Institute and on the Board of Directors of the American Marketing Association. Sridhar Moorthy (“ Can Brand Extension Signal Product Quality? ”; “ On Brand Extension as a Signal of Product Quality: A Reply to Keller and Wernerfelt ”) is the Manny Rotman Professor of Marketing at the Rotman School of Management, University of Toronto. He received his Ph.D. from Stanford University, and he has taught previously at the University of Rochester, Yale School of Management, INSEAD, the University of California at Los Angeles, the Wharton School, and the Indian School of Business. His current research focuses on branding, advertising, and retailing issues; previous work published here and in other journals has examined the relationship between advertising and product quality, product differentiation in a competitive environment, and price-matching guarantees in retailing. He is coeditor of Quantitative Marketing and Economics, associate editor of Management Science, and a member of the editorial board of Journal of Marketing Research. He is a coauthor (with Philip Kotler and Gary Lilien) of Marketing Models (Prentice-Hall 1992). Oded Netzer (“ State-Dependence Effects in Surveys ”) is the Phillip H. Geier Jr. Associate Professor of Business at Columbia University. He received an M.Sc. in statistics and a Ph.D. in business, both from Stanford University, and he also holds a B.Sc. in industrial engineering and management from the Technion (Israel Institute of Technology). His research interests focus on modeling customer relationships, preference measurement methods, and modeling various aspects of choice behavior, including how choices change over time, contexts, and customers. His research has appeared in the top academic journals. He is the recipient of the John D. C. Little, Frank M. Bass, and Society of Consumer Psychology Best Competitive Paper awards. Janis K. Pappalardo (“ Are Unintended Effects of the Marketing Regulations Unexpected? ”) is the Assistant Director for Consumer Protection in the Bureau of Economics at the Federal Trade Commission. She majored in economics at Catholic University and received her Ph.D. from Cornell University in 1986, with a primary focus in consumer economics and secondary fields in statistics and industrial organization. Research that she coauthored on health claims regulation earned her two outstanding article awards from the Journal of Public Policy and Marketing. Her research on mortgage disclosures, coauthored with James Lacko, has been published in the American Economic Review (Papers and Proceedings) and has been cited in congressional testimony and newspapers such as the Washington Post, USA Today, and the Wall Street Journal. She currently serves on the editorial boards of the Journal of Public Policy and Marketing and the Journal of Consumer Affairs. Brian T. Ratchford (“ Suggestions for Further Research on Firm Responses to NLEA and Other Disclosure Laws ”) is the Charles and Nancy Davidson Professor of Marketing, University of Texas at Dallas. He has MBA and Ph.D. degrees from the University of Rochester. His research interests are in economics applied to the study of consumer behavior, information economics, marketing productivity, marketing research, and electronic commerce. He has published over 80 articles in marketing and related fields. He was the Editor of Marketing Science (from 1998 to 2002); is currently an associate editor of the Journal of Consumer Research; serves on the editorial review boards of the Journal of Marketing Research, Journal of Marketing, Journal of Retailing, Journal of Interactive Marketing, Journal of Public Policy and Marketing, and Journal of Service Research; and serves on the advisory editorial board of Marketing Science. Atanu R. Sinha (“ Bidding Behavior in Descending and Ascending Auctions ”) is an associate professor of marketing at the Leeds School of Business, University of Colorado, Boulder. His research interests include, among others, pricing, theoretical and empirical models of auctions, negotiations, social media, online two-sided markets, and loyalty programs. Catherine Tucker (“ How Does the Use of Trademarks by Third-Party Sellers Affect Online Search? ”) is currently the Douglas Drane Career Development Professor in IT and Management and an associate professor of marketing at the MIT Sloan School of Management, and she is a faculty research fellow at the National Bureau of Economic Research. She received her Ph.D. in economics from Stanford University. She specializes in understanding how the huge amounts of data generated by the information and communication technology revolution can better guide marketing and advertising decisions. She has also done substantial research into how healthcare information technology is transforming the healthcare sector. She also focuses on the privacy concerns that such data raise and how firms and policy makers can best address these; she received a National Science Foundation CAREER award for her work on digital privacy. Birger Wernerfelt (“ On Brand Extension as a Signal of Product Quality ”) is the JC Penney Professor of Management at the MIT Sloan School of Management. He has taught marketing, strategy, and economics, and he has published in all three areas.

Abstract: Christopher Adams (“ The Sealed-Bid Abstraction in Online Auctions ”; “ Rejoinder—Causes and Implications to Some Bidders Not Conforming to the Sealed-Bid Abstraction ”) is a staff economist with the Federal Trade Commission (FTC). He has a Ph.D. in economics from the University of Wisconsin and a B.Comm (Hons) from the University of Melbourne. At the FTC, he has worked on mergers and antitrust cases in a number of industries including pharmaceuticals, real estate, software, and retail. Before joining the FTC, he taught at the University of Vermont. In 2007, he was awarded the FTC's Paul Rand Dixon Award for outstanding contributions to the Commission. Paulo Albuquerque (“ Online Demand Under Limited Consumer Search ”) is an assistant professor of marketing at the Simon Graduate School of Business, University of Rochester. He holds a Ph.D. in management from the UCLA Anderson School of Management. He is currently interested in competition and consumer behavior in online markets, new product diffusion across markets, and spatial competition models. Bart J. Bronnenberg (“ Online Demand Under Limited Consumer Search ”) is a professor of marketing and CentER research fellow at Tilburg University. He holds Ph.D. and M.Sc. degrees in management from INSEAD, Fontainebleau, France, and an M.S. in industrial engineering from Twente University, The Netherlands. He is currently interested in marketing strategy and multimarket competition in consumer goods and medical industries. He has previously worked, and continues to work, on empirical analyses of new product growth and consumer choice behavior. He was named the recipient of the 2003 and 2008 Paul Green Award, the 2003 International Journal of Research in Marketing (IJRM) Best Paper Award, and the 2004 John D. C. Little Best Paper Award. Anne T. Coughlan (“ Optimal Reverse Channel Structure for Consumer Product Returns ”) is the John L. and Helen Kellogg Professor of Marketing at the Kellogg School of Management at Northwestern University. Her research on channel design and compensation problems, sales force management, sales force compensation, and pricing has been published in the top journals for marketing and operation and decision technologies. She is an area editor for Marketing Science and an author of the Marketing Channels textbook. Her favorite leisure activity is cultivating cacti and succulents in her greenhouse. Brett Danaher (“ Converting Pirates Without Cannibalizing Purchasers: The Impact of Digital Distribution on Physical Sales and Internet Piracy ”) is an assistant professor of economics at Wellesley College. He received a bachelor's of science in economics from Haverford College and a Ph.D. in managerial science and applied economics from The Wharton School of the University of Pennsylvania. His research interests include digital media, intellectual property, and the economics of information goods. Marnik G. Dekimpe (“ Estimating Cannibalization Rates for Pioneering Innovations ”) is a research professor at Tilburg University (The Netherlands) and a professor of marketing at the Catholic University Leuven (Belgium), and he is currently an academic trustee with both MSI and AiMark. He received his Ph.D. from the University of California, Los Angeles. He has advised several key players in the consumer packaged goods industry, especially on private-label and marketing-mix effectiveness issues. He has won best paper awards at Marketing Science, the Journal of Marketing Research, the International Journal of Research in Marketing, and Technological Forecasting and Social Change. He has also won the 2010 Louis W. Stern Award for his work on the valuation of Internet channels. He serves as editor for the International Journal of Research in Marketing and serves on the editorial boards of Marketing Science, the Journal of Marketing, the Journal of Marketing Research, Marketing Letters, the Review of Marketing Science, and the Journal of Interactive Marketing. Samita Dhanasobhon (“ Converting Pirates Without Cannibalizing Purchasers: The Impact of Digital Distribution on Physical Sales and Internet Piracy ”) is a Ph.D. candidate in public policy and management at the Heinz College, Carnegie Mellon University. Her research interests include digital piracy, digital media, and e-commerce marketing. Peter S. Fader (“ Customer-Base Analysis in a Discrete-Time Noncontractual Setting ”) is the Frances and Pei-Yuan Chia Professor of Marketing at The Wharton School of the University of Pennsylvania, and codirector of the Wharton Interactive Media Initiative. Scott Fay (“ The Economics of Buyer Uncertainty: Advance Selling vs. Probabilistic Selling ”) is an assistant professor of marketing at the Whitman School of Management at Syracuse University. He received a Ph.D. in economics from the University of Michigan and previously taught at the Warrington College of Business of the University of Florida. In his research, he employs analytical modeling to study a variety of topics, many of which are related to e-commerce, including reverse auctions, opaque products, the personalization process, the bundling of information goods, shipping fee schedules, retail price endings, and consumer bankruptcy. He was elected to and served two terms as the newsletter editor for the INFORMS Society for Marketing Science (2002–2006). He serves on the editorial board of Marketing Science, served as a guest area editor for Marketing Science, and recently received the Meritorious Service Award from Management Science. Bruce G. S. Hardie (“ Customer-Base Analysis in a Discrete-Time Noncontractual Setting ”) is a professor of marketing at the London Business School. His primary research interest lies in the development of data-based models to support marketing analysts and decision makers, with a particular interest in models that are easy to implement. Most of his current projects focus on the development of probability models for customer-base analysis. Ernan Haruvy (“ Search and Choice in Online Consumer Auctions ”) is an associate professor of marketing at the University of Texas at Dallas. He received his Ph.D. in economics in 1999 from the University of Texas at Austin. His research focuses primarily on market design, with a special interest in auctions, procurement, learning, and bounded rationality. Gerald Häubl (“ Optimal Reverse-Pricing Mechanisms ”) is the Canada Research Chair in Behavioral Science and an associate professor of marketing at the University of Alberta's School of Business. He is the founding director of the Institute for Online Consumer Studies (IOCS). He received M.S. and Ph.D. degrees in business administration and marketing from the Vienna University of Economics and Business Administration (Wirtschaftsuniversität Wien) in his native Austria. His primary research interests are consumer decision making, the construction of preference and value, human–information interaction, decision assistance for consumers, and bidding behavior in interactive-pricing markets. Ali Hortaçsu (“ Commentary—Do Bids Equal Values on eBay? ”) is a professor of economics at the University of Chicago. He received his Ph.D. from Stanford University in 2001, and his main research area is industrial organization. He has developed novel econometric methods to study auction and matchmaking markets, and he has applied these methods to answer market design questions in central bank operations, government bond auctions, electricity markets, online auctions, and online matchmaking. He has also developed empirical methods to study markets with search frictions, with applications to e-commerce and the mutual fund industry. He has been awarded an Alfred P. Sloan Fellowship and an NSF CAREER grant and is a research associate of the National Bureau of Economic Research. He has served as the coeditor for the International Journal of Industrial Organization and as associate editor for the Journal of Business and Economic Statistics and the Journal of Industrial Economics. Sandy Jap (“ The Seeds of Dissolution: Discrepancy and Incoherence in Buyer–Supplier Exchange ”) is the Dean's Term Chair Professor of Marketing at the Goizueta Business School at Emory University. She is a graduate of the University of Florida (Go Gators!) and has served on the faculties of the Sloan School of Management at the Massachusetts Institute of Technology and The Wharton School of the University of Pennsylvania. Her research interests lie in interorganizational exchange management and the design and management of business-to-business markets with auction mechanisms. She is an area editor for the International Journal of Research in Marketing and an editorial board member of the Journal of Marketing Research and Marketing Letters. Ujwal Kayande (“ The Seeds of Dissolution: Discrepancy and Incoherence in Buyer–Supplier Exchange ”) is a professor of marketing in the Research School of Business at the Australian National University. He was previously on the faculty at the Smeal College of Business (Pennsylvania State University) and the Australian Graduate School of Management (University of New South Wales, Sydney). He obtained his Ph.D. from the University of Alberta. His current research focuses on developing quantitative models to understand marketplace behavior and the effect of marketing activity upon that behavior; additionally, he is interested in understanding the pathways by which quantitative models impact business practice. He is a recipient of the 1998 Don Lehmann Award from the American Marketing Association. Jun B. Kim (“ Online Demand Under Limited Consumer Search ”) is an assistant professor at the College of Management, Georgia Institute of Technology. He holds a Ph.D. in management from the UCLA Anderson School of Management and a Ph.D. in mechanical engineering from the Massachusetts Institute of Technology. His current research interests include information economics, choice models, and durable goods markets. Eric R. Nielsen (“ Commentary—Do Bids Equal Values on eBay? ”) is a University of Chicago economics graduate student specializing in labor economics, industrial organization, and econometrics. He received his A.B. from Harvard University in 2007. His current research focuses on matching markets and educational investment decisions. Peter T. L. Popkowski Leszczyc (“ Search and Choice in Online Consumer Auctions ”) is an associate professor of marketing at the School of Business, University of Alberta, and director of CampusAuctionMarket.com. He received is Ph.D. in marketing in 1992 from the University of Texas at Dallas. His research focuses on empirical and theoretical issues related to (Internet) auctions, influence of information on price formation, and charitable giving. R. Canan Savaskan (“ Optimal Reverse Channel Structure for Consumer Product Returns ”) is currently an associate professor at the Cox School of Business at Southern Methodist University. She received her Ph.D. in operations management from INSEAD, France. Her research is at the interface of operations and marketing, with a special focus on product returns management and reverse logistics. Jen Shang (“ Customer-Base Analysis in a Discrete-Time Noncontractual Setting ”) is an assistant professor at the School of Public and Environmental Affairs at Indiana University, Bloomington. She is a philanthropic psychologist who studies the psychological determinants for giving. She is the author of Fundraising: Principles and Practice. Jeffrey D. Shulman (“ Optimal Reverse Channel Structure for Consumer Product Returns ”) is an assistant professor of marketing at the Michael G. Foster School of Business at the University of Washington. His research focusing on strategic pricing issues has also appeared in Quantitative Marketing and Economics, Manufacturing and Service Operations Management, and the second edition of Kellogg on Marketing. He met his amazing wife Stephanie, mother of his beautiful daughter Olivia, while getting his Ph.D. in marketing at the Kellogg School of Management. Michael D. Smith (“ Converting Pirates Without Cannibalizing Purchasers: The Impact of Digital Distribution on Physical Sales and Internet Piracy ”) is an associate professor of information systems and marketing and the codirector of the Center for Digital Media Research at Carnegie Mellon University. He holds academic appointments at the School of Information Systems and Management and the Tepper School of Business. He received a bachelor's of science in electrical engineering (summa cum laude) and a master's of science in telecommunications science from the University of Maryland, and a Ph.D. in management science from the Sloan School of Management at MIT. Martin Spann (“ Optimal Reverse-Pricing Mechanisms ”) is a professor of electronic commerce at the School of Management of the Ludwig-Maximilians-University (LMU) in Munich, Germany. He received his Ph.D. from Goethe University in Frankfurt and was a professor of marketing and innovation at the University of Passau, Germany. He has visited the University of California at Los Angeles, the University of Southern California, and Bocconi University in Milan, Italy. His current research interests are electronic commerce, pricing, auctions, innovation management, prediction markets, and social network analysis. Kannan Srinivasan (“ Commentary—Bidders' Experience and Learning in Online Auctions: Issues and Implications ”) is the Rohet Tolani Distinguished Professor of International Business and the H. J. Heinz II Professor of Management, Marketing and Information Systems at the Tepper School of Business, Carnegie Mellon University. He is an associate editor for Management Science and Quantitative Marketing and Economics, and an area editor for Marketing Science. He has chaired 15 doctoral dissertations, and his students serve as faculty in various leading universities around the world. He is the President Elect of the INFORMS Society of Marketing Science. Shuba Srinivasan (“ Estimating Cannibalization Rates for Pioneering Innovations ”) is an associate professor of marketing and Dean's Research Fellow at Boston University's School of Management. Her research focuses on strategic marketing problems—in particular, linking marketing to financial performance, to which she applies her expertise in time-series analysis and econometrics. Her current research focuses on metrics for gauging marketing performance, and she has consulting experience with a wide spectrum of companies. Her research won the 2001 European Marketing Academy (EMAC) Best Paper Award. She serves on editorial boards of the Journal of Marketing Research and the International Journal of Research in Marketing, among others. Rahul Telang (“ Converting Pirates Without Cannibalizing Purchasers: The Impact of Digital Distribution on Physical Sales and Internet Piracy ”) is an associate professor of information systems and management and the codirector of the Center for Digital Media Research at the School of Information Systems and Management at the Heinz College, Carnegie Mellon University. He received his Ph.D. in information systems from the Tepper School of Business, Carnegie Mellon University. Harald J. van Heerde (“ Estimating Cannibalization Rates for Pioneering Innovations ”) is a professor of marketing at the University of Waikato, Hamilton, New Zealand. He holds a Ph.D. (cum laude) from the University of Groningen, The Netherlands. His research focuses on assessing the effectiveness of the marketing mix using econometric models and covers various substantive domains such as sales promotions and advertising, pricing and price wars, and loyalty programs. His work has been awarded with the Paul E. Green and William F. O'Dell Awards (Journal of Marketing Research (JMR)), and with the International Journal of Research in Marketing (IJRM) Best Paper Award. He serves on the editorial board of JMR and is an area editor for IJRM. Qiong Wang (“ The Seeds of Dissolution: Discrepancy and Incoherence in Buyer–Supplier Exchange ”) is an assistant professor of marketing at the Smeal College of Business, Pennsylvania State University. She joined Smeal in the fall of 2006 after receiving her Ph.D. from the University of Florida in August 2006. Her primary research focuses on interorganizational exchange behavior, relationship development, and governance mechanisms. Xin Wang (“ Commentary—Bidders' Experience and Learning in Online Auctions: Issues and Implications ”) is an assistant professor of marketing at Brandeis International Business School, Brandeis University. She received her doctoral degree from the Tepper School of Business, Carnegie Mellon University. Her research interests include online auctions, service quality, and consumer learning. She also taught at the Krannert School of Management, Purdue University. Jinhong Xie (“ The Economics of Buyer Uncertainty: Advance Selling vs. Probabilistic Selling ”) is the Etheridge Professor of International Business and a professor of marketing at the Warrington College of Business Administration, University of Florida. She holds a Ph.D. in engineering and public policy from Carnegie Mellon University, an M.S. in optimal control from the Second Academy of the Ministry of Astronautics (China), and a B.S. in electrical engineering from Tsinghua University. Her research interests include pricing, network effects and standards competition, consumer social interactions, innovation strategies, and cross-culture effects. She is a recipient of INFORMS' John D. C. Little Best Paper Award, the Marketing Science Institute's Research Competition Award, the Product Development and Management Association's Research Competition Award, and the University of Florida's Best Teaching Award. She has served as an associate editor for Management Science and an area editor for Marketing Science. Robert Zeithammer (“ The Sealed-Bid Abstraction in Online Auctions ”; “ Rejoinder—Causes and Implications of Some Bidders Not Conforming to the Sealed-Bid Abstraction ”; “ Optimal Reverse-Pricing Mechanisms ”) is an assistant professor of marketing at the UCLA Anderson School of Management. His research focuses on auction-driven marketplaces, such as eBay, in which the burden of pricing is on the interplay between buyers' bidding strategies and the seller's selling strategies. He is working on models that capture the essence of such interplay and help us understand the nature of these emerging marketplaces. In addition, he is interested in choice-based conjoint analysis and the analysis of choices from subsets of brands. Kevin Xiaoguo Zhu (“ The Effects of Information Transparency on Suppliers, Manufacturers, and Consumers in Online Markets ”) received his Ph.D. from Stanford University and is currently on the faculty of the Rady School of Management, University of California, San Diego. His research focuses on technology-enabled innovations, electronic markets, economic impacts of IT on firms/industries, and IT-enabled supply chains. His work has been published in top academic journals, as well as in a book, Global E-Commerce (Cambridge University Press, 2006). His research has been recognized by several best paper awards in the field and the prestigious CAREER Award from the U.S. National Science Foundation. Zach Zhizhong Zhou (“ The Effects of Information Transparency on Suppliers, Manufacturers, and Consumers in Online Markets ”) is currently a postdoctoral research fellow at the Rady School of Management, University of California, San Diego. He received his Ph.D. from the University of California, Irvine. His research focuses on electronic markets, competitive marketing strategies of software vendors, and economics of IT security.

Abstract: Henry Assael (“ An Empirical Study of Word-of-Mouth Generation and Consumption ”) is a professor of marketing at the Stern School of Business, New York University. He has written over 30 articles for scholarly journals, and he edited a 33-volume series on the history of marketing and a 30-volume series on the history of advertising. He is the author of three widely used texts: Consumer Behavior: A Strategic Approach (seven editions), Marketing: Principles and Strategy (three editions), and Marketing Management: Strategy and Action. Hemant K. Bhargava (“ Retailer-Driven Product Bundling in a Distribution Channel ”) is an associate dean and the Jerome and Elsie Suran Professor of Technology Management at the Graduate School of Management, University of California, Davis. He studies business strategy and competition for technology products such as information goods, online services, software, electronic gadgets, media and entertainment goods, and alternative energy technologies. Peter Boatwright (“ A Satisficing Choice Model ”) is an associate professor of marketing at the Tepper School of Business at Carnegie Mellon University. He also has a courtesy faculty appointment in mechanical engineering at Carnegie Mellon University. He received his Ph.D. from University of Chicago's Booth School of Business, and his research interests include product development processes and marketing of new products, Bayesian modeling, and consumer response to product assortment. Bryan Bollinger (“ Peer Effects in the Diffusion of Solar Photovoltaic Panels ”) is an assistant professor of marketing at New York University's Stern School of Business. His research interests lie at the intersection of marketing, empirical industrial organization, and economic policy, including empirical methods, dynamics, technology adoption, demand- and supply-side spillover effects, and the effectiveness of marketing mix variables and policy tools in affecting consumer and firm behavior. He received both a B.A. and B.E. in engineering from Dartmouth College, and an M.A. in economics and a Ph.D. in marketing from Stanford University. Xiaohong Chen (“ An Empirical Study of Word-of-Mouth Generation and Consumption ”) is a professor of management science at the Business School of Central South University, China. She received a B.S. in computer science and an M.S. in management science from Central South University, China, and a Ph.D. in management science from the Tokyo Institute of Technology, Japan. She is the principle professor of national first-level key principles “Management Science and Engineering” and “Innovation Group” of the National Natural Science Foundation in China. She is also the winner of “State Science Fund for Outstanding Youth” and named one of China's “National Outstanding Women” and “National Prominent Social Scientists.” Her research has been published in several top journals. John Deighton (“ Editorial—Research Priorities of the Marketing Science Institute: 2012–2014 ”) is the Executive Director of the Marketing Science Institute and the Harold M. Brierley Professor of Business Administration at the Harvard Business School. His Ph.D. is from the Wharton School of the University of Pennsylvania, and he served previously on the faculties of the University of Chicago and Dartmouth College. Kenneth Gillingham (“ Peer Effects in the Diffusion of Solar Photovoltaic Panels ”) is an assistant professor of economics at Yale University, with appointments in the School of Forestry and Environmental Studies (primary) and the Department of Economics (courtesy). He holds a Ph.D. from Stanford University and a B.A. from Dartmouth College. His research focuses on the adoption of new technologies, including renewable energy, energy efficiency, and green transportation technologies. He was a Fulbright Fellow in New Zealand and has worked at the White House Council of Economic Advisers and Resources for the Future. Liang Guo (“ Consumer Deliberation and Product Line Design ”) is an associate professor of marketing and Senior Wei Lun Fellow at Hong Kong University of Science and Technology. He received a Ph.D. in business administration from the University of California, Berkeley, and a B.A. in economics from Beijing University. His research interests include behavioral economics, channel interaction, information acquisition and sharing, and marketing strategy. His research work has been accepted for publication at the Journal of Economics and Management Strategy, Management Science, and Marketing Science; he serves on the editorial boards of Marketing Science and Management Science (associate editor). He was named an MSI Young Scholar in 2009. Mantian (Mandy) Hu (“ An Empirical Study of Word-of-Mouth Generation and Consumption ”) is an assistant professor in the Department of Marketing at the Chinese University of Hong Kong, Hong Kong. She received a B.A. in economics from Fudan University, China, an M.A. in economics from Tufts University, and a Ph.D. in marketing from New York University. She is the 2011 recipient of the Best Proposal Award in the Society for Marketing Advances (SMA) Dissertation Proposal Competition. Ganesh Iyer (“ Competition in Consumer Shopping Experience ”) is the Edgar F. Kaiser Professor of Business Administration at the Haas School of Business, University of California, Berkeley. He received his Ph.D. from the University of Toronto and was previously on the faculty at Washington University in St. Louis. His research uses economic theory to study marketing strategy problems; his areas of research are the coordination of product distribution, marketing information, Internet strategy, strategic communication, and bounded rationality in marketing strategy. He is currently an associate editor for Marketing Science, Management Science, and Quantitative Marketing and Economics. He received the 2000 John D. C. Little Award and was a finalist for the Little award on three other occasions, and two of his papers have been finalists for the INFORMS Long Term Impact Award. Gareth M. James (“ Predicting the Path of Technological Innovation: SAW vs. Moore, Bass, Gompertz, and Kryder ”) is an expert on statistical methodology with particular application to marketing problems such as prediction of technology evolution. He teaches both M.B.A. and Ph.D. courses ranging from introductory statistics to advanced modern nonlinear regression techniques. He was recently elected a fellow of the American Statistical Association, the nation's preeminent professional statistical society, in recognition of his outstanding professional contributions to and leadership in the field of statistical science. He has also earned numerous accolades from USC Marshall, including the Evan C. Thompson Faculty Teaching and Learning Innovation Award, and he is a two-time winner of both the Dean's Award for Research Excellence and the Golden Apple Award for teaching excellence in his M.B.A. courses. He has published numerous articles in leading journals such as the Journal of the American Statistical Association, for which he also serves on the editorial review board. Zsolt Katona (“ Contextual Advertising ”) is an assistant professor of marketing at the Haas School of Business, University of California, Berkeley. He has a Ph.D. in management from INSEAD; he also earned a Ph.D. in computer science from Eotvos University, Budapest. His current research focuses on understanding the interaction between websites' online advertising strategies. He also studies the role that link structure of social networks plays in word-of-mouth effects and community formation. Previously, he had analyzed characteristics of different random networks and published his work in such journals as the Journal of Applied Probability, Statistics and Probability Letters, and Random Structures and Algorithms. Susan Keane (“ Editorial—Research Priorities of the Marketing Science Institute: 2012–2014 ”) is the Editorial Director at the Marketing Science Institute, where she manages the development of the Relevant Knowledge book series, the working paper series, and other print and digital content. Dmitri Kuksov (“ Competition in Consumer Shopping Experience ”) is a professor of marketing at the Naveen Jindal School of Management, the University of Texas at Dallas. He previously worked at Washington University in St. Louis, and he holds a Ph.D. in marketing from the Haas Business School of the University of California, Berkeley. His research interests include competitive strategy, markets with incomplete information, consumer communication and networks, branding and product line strategy, and customer satisfaction. His work has appeared in a number of journals, including Marketing Science, Management Science, the Journal of Marketing Research, and the Journal of Economic Theory. He received the 2005 Frank M. Bass Dissertation Award for his work on search costs and product differentiation, which was also a finalist for the INFORMS Long Term Impact Award, and two of his papers were finalists for 2007 John D. C. Little Award. Natalie Mizik (“ Firm Innovation and the Ratchet Effect Among Consumer Packaged Goods Firms ”) is the Shansby Associate Professor of Marketing at the Foster School of Business, University of Washington (UW). She has published research in a broad set of substantive areas including branding, strategy, managerial myopia, customer satisfaction, and direct-to-physician pharmaceutical marketing. An award-winning teacher and researcher, she has served on the faculty of the Columbia Graduate School of Business and UNC Kenan-Flagler Business School, and she was a visiting professor at the MIT Sloan School of Management before she joined UW. Robert T. Monroe (“ A Satisficing Choice Model ”) is an associate teaching professor of information systems at Carnegie Mellon University's Tepper School of Business, as well as the associate dean for Carnegie Mellon University's Qatar campus. He holds a Ph.D. and M.S. in computer science from Carnegie Mellon University and a B.S. in philosophy and computer science from the University of Michigan. Christine Moorman (“ Firm Innovation and the Ratchet Effect Among Consumer Packaged Goods Firms ”) is the T. Austin Finch, Sr. Professor of Business Administration, Fuqua School of Business, Duke University. She has published research on consumer, manager, and organizational learning and the use of information in a range of marketing strategy and public policy contexts. Founder of The CMO Survey™ ( http://www.cmosurvey.org ) and winner of the Paul D. Converse award, she has also served as a trustee for the Marketing Science Institute and on the board of directors for the American Marketing Association. Scott A. Neslin (“ Database Submission—The ISMS Durable Goods Data Sets ”) is the Albert Wesley Frey Professor of Marketing at the Tuck School of Business, Dartmouth College. He received his Ph.D. from the MIT Sloan School of Management. His research focuses on measuring and enhancing marketing productivity, particularly in the areas of sales promotion, advertising, and customer relationship management. Jian Ni (“ Database Submission—The ISMS Durable Goods Data Sets ”) is an assistant professor of marketing at Carey Business School, Johns Hopkins University. He received his doctoral degree from Tepper School of Business at Carnegie Mellon University. His recent research focuses on empirical and theoretical studies of consumer choices and firm behavior. Ross Rizley (“ Editorial—Research Priorities of the Marketing Science Institute: 2012–2014 ”) is the Research Director of the Marketing Science Institute. His doctorate is in clinical psychology from Yale University, and he was a faculty member in the Department of Psychology and Social Relations at Harvard University, in the Department of Psychology at Boston University, and in the Department of Marketing at the Boston University School of Management. Ashish Sood (“ Predicting the Path of Technological Innovation: SAW vs. Moore, Bass, Gompertz, and Kryder ”) is a professor of marketing at the Emory University and an expert in the areas of technology evolution, product innovation, and new product diffusion in emerging markets. He regularly chairs special sessions in research conferences and has been invited to talk at more than 10 top international schools. Prior to joining the academia, he worked in the industry for 12 years in India and Singapore. His research has been published in the top field journals, including Marketing Science and the Journal of Marketing, and has won numerous research awards and grants. His papers are highly cited, and the findings from his research have been published and reprinted in more than 40 books (e.g., Springer, Blackwell, Wiley), thought leadership publications (e.g., E & Y, Montgomery Research, Accenture, MSI's Knowledge series), and the business press (the New York Times and the Wall Street Journal). Fredrika J. Spencer (“ Firm Innovation and the Ratchet Effect Among Consumer Packaged Goods Firms ”) is an assistant professor of marketing at the Cameron School of Business at the University of North Carolina at Wilmington. She holds a Ph.D. from Duke University, an M.B.A. from Wake Forest University, and a B.S. from the University of North Carolina at Chapel Hill. Her current research interests include evaluating the impact of individual- and portfolio-level product introduction behavior on financial markets and examining the flow of information within the firm. Peter Stüttgen (“ A Satisficing Choice Model ”) is a visiting assistant professor in marketing at Carnegie Mellon University's Qatar campus. He holds a Ph.D. and M.S. in industrial administration (marketing) from Carnegie Mellon University's Tepper School of Business as well as a B.S. in marketing from the Campbell School of Business at Berry College. His research focuses on empirical models of consumer behavior—in particular, noncompensatory choice models. Baohong Sun (“ Database Submission—The ISMS Durable Goods Data Sets ”) is the Dean's Distinguished Chair Professor of Marketing at the Cheong Kong Graduate School of Business (New York). She develops empirical models to study rational consumer choice, evaluate promotion effect, and measure impact on short-term and long-term sales. Her recent research focuses on studying the economic foundation of consumer networking behavior. Gerard J. Tellis (“ Predicting the Path of Technological Innovation: SAW vs. Moore, Bass, Gompertz, and Kryder ”) is a professor of marketing, management, and organization; Neely Chair of American Enterprise; and Director of the Center for Global Innovation, at the USC Marshall School of Business. An expert in innovation, new product growth, emerging markets, global market entry, advertising, quality, and pricing, he has published four books and over 100 papers that have won over 20 awards, including the Frank M. Bass Award, the William F. O'Dell Award, the Harold D. Maynard Award (twice), and Converse award for lifetime contributions to research. He is a Distinguished Professor of Marketing Research, Erasmus University, Rotterdam; a senior research associate at the Judge Business School; and a fellow of Sidney Sussex College, Cambridge University, United Kingdom. He is an associate editor of Marketing Science and the Journal of Marketing Research. More information can be found at http://www.gtellis.net . Simone Wies (“ Firm Innovation and the Ratchet Effect Among Consumer Packaged Goods Firms ”) is a doctoral candidate in the Department of Finance at the School of Business and Economics and a member of the Marketing-Finance Research Lab, Maastricht University, the Netherlands. Her research deals with the interaction of capital markets and marketing investments, with a special emphasis on innovation. Russell S. Winer (“ An Empirical Study of Word-of-Mouth Generation and Consumption ”) is the William Joyce Professor and Chair of the Department of Marketing at the Stern School of Business, New York University. He received a B.A. in economics from Union College and an M.S. and Ph.D. in industrial administration from Carnegie Mellon University. He is a past executive director of the Marketing Science Institute in Cambridge, Massachusetts. He is a founding fellow of the INFORMS Society for Marketing Science and is the 2011 recipient of the American Marketing Association/Irwin/McGraw-Hill Distinguished Marketing Educator Award. Sha Yang (“ An Empirical Study of Word-of-Mouth Generation and Consumption ”) is a professor of marketing at the Marshall School of Business, University of Southern California. She received a B.A. in international economics from Renmin University, China, and an M.S. in statistics, M.A. in marketing, and Ph.D. in marketing from the Ohio State University. Her primary research focuses on understanding and modeling household purchase behavior (especially interdependent consumer decision making) and market competition. Her recent research interest focuses on Internet advertising. Her research has been published in leading journals such as Marketing Science, Management Science, the Journal of Marketing Research, the Journal of Marketing, and Quantitative Marketing and Economics. Juanjuan Zhang (“ Consumer Deliberation and Product Line Design ”) is the Class of 1948 Career Development Professor and an associate professor of marketing at the MIT Sloan School of Management. She holds a B.E. from Tsinghua University and a Ph.D. in business administration from the University of California, Berkeley. Her research interests include observational learning (i.e., learning by observing others' choices), the interaction of information and incentives, and product development. She is the recipient of the 2010 Frank M. Bass Award and a finalist for the 2010 and 2011 John D. C. Little Award. Kaifu Zhang (“ Contextual Advertising ”) is an assistant professor of marketing at Cheung Kong Graduate School of Business, Beijing, China. He holds a Ph.D. degree in management from INSEAD. His most recent research explores both theoretical and empirical issues related to media, advertising, and the Internet. Ji Zhu (“ Predicting the Path of Technological Innovation: SAW vs. Moore, Bass, Gompertz, and Kryder ”) is a professor in the Department of Statistics at the University of Michigan. A well-recognized researcher in the areas of statistical machine learning and high-dimensional data analysis, he is also interested in applications in computational biology, marketing, finance, engineering, and physics. He publishes regularly in the leading statistics journals, and he received a CAREER Award from the National Science of Foundation.

Abstract: Motivated by rising concerns regarding global warming and traffic congestion effects, we study the time-dependent green vehicle routing problem with time windows (TDGVRPTW), aiming to minimize carbon emissions. The TDGVRPTW is a variant of the time-dependent vehicle routing problem (TDVRP) in which, in addition to the time window constraints, the minimization of carbon emissions requires determination of the optimal departure times for vehicles, from both the depot and customer location(s). Accordingly, the first exact method based on a branch-cut-and-price (BCP) algorithm is proposed for solving the TDGVRPTW. We introduce the notation of a time-dependent (TD) arc and describe how to identify the nondominated TD arcs in terms of arc departure times. In this way, we reduce infinitely many TD arcs to a finite set of nondominated TD arcs. We design a state-of-the-art BCP algorithm for the TDGVRPTW with labeling and limited memory subset row cuts, together with effective dominance rules for eliminating dominated TD arcs. The exact method is tested on a set of test instances derived from benchmark instances proposed in the literature. The results show the effectiveness of the proposed exact method in solving TDGVRPTW instances involving up to 100 customers. Summary of Contribution: Due to the environmental situation, green vehicle routing problems (GVRPs) aim to consider greenhouse gas emissions reduction, while routing the vehicles, and play a key role in transportation and logistics. Vehicle greenhouse gas emissions strongly depend on the vehicle speeds and traffic conditions which in real life vary continuously over time. To tackle these challenges, we address the time-dependent green vehicle routing problem with time windows (TDGVRPTW) aimed at reducing total carbon emissions under time-dependent travel times and time window constraints. We design an effective exact method for the TDGVRPTW based on a state-of-the-art branch-cut-and-price algorithm. The paper is both of methodological value for researchers and of interest for practitioners. For researchers, the presented algorithm is amenable for various routing constraints and provides a ground for further studies and research. For practitioners, the paper suggests insights on how the carbon emissions change based on different vehicle speed profiles. History: Accepted by Andrea Lodi, Area Editor for Design & Analysis of Algorithms—Discrete. Funding: This research is supported by the National Natural Science Foundation of China [Grants 71831003, 71831006, 72171043, and 71901180] and the Fundamental Research Funds for the Central Universities [Grants N170405005 and N180704015] . Supplemental Material: The electronic companion is available at https://doi.org/10.1287/ijoc.2022.1195 .

Abstract: Alessandro Acquisti (“ The Effect of Online Privacy Information on Purchasing Behavior: An Experimental Study ”) received his Ph.D. at UC Berkeley in 2003. He is an Associate Professor at the Heinz College, Carnegie Mellon University. His work on the economics and behavioral economics of privacy has been published in journals such as Proceedings of the National Academy of Science, Marketing Science, Marketing Letters, and IEEE Security & Privacy and has been featured in outlets such as NPR, NBC, MSNBC.com, Washington Post, New York Times, Wall Street Journal, and New Scientist. Anitesh Barua (“ Contracting Efficiency and New Firm Survival in Markets Enabled by Information Technology ”) is the Mr. and Mrs. William F. Wright, Jr. Centennial Professor for Management of Innovative Technology and Distinguished Teaching Professor in the Department of Information, Risk and Operations Management in the McCombs School of Business at the University of Texas at Austin. He received his Ph.D. from Carnegie Mellon University. His research has appeared in several refereed journals and conference proceedings, such as MIS Quarterly, Organization Science, Information Systems Research, Journal of Management Information Systems, Journal of Productivity Analysis, and Sloan Management Review. Martin Bichler (“ An Experimental Comparison of Linear and Nonlinear Price Combinatorial Auctions ”) received his Ph.D., as well as his Habilitation, from the Vienna University of Economics and Business Administration. He has worked as a research fellow at University of California, Berkeley and as a research staff member at the IBM T. J. Watson Research Center, Yorktown Heights, New York. Since 2003, he has been Full Professor at the Department of Informatics of the TU München and a faculty member at the TU München School of Management. Lorrie Cranor (“ The Effect of Online Privacy Information on Purchasing Behavior: An Experimental Study ”) received her DSc. from Washington University in St. Louis in 1996 and is an Associate Professor of Computer Science and of Engineering & Public Policy at Carnegie Mellon University, where she is director of the CyLab Usable Privacy and Security Laboratory (CUPS). She has authored more than 80 research papers about online privacy, phishing and semantic attacks, spam, electronic voting, anonymous publishing, usable access control, and other topics. She was previously a researcher at AT & T Labs Research. Sanjeev Dewan (“ Information Technology and Firm Boundaries: Impact on Firm Risk and Return Performance ”) is an associate professor in information systems at the Paul Merage School of Business at UC Irvine. His research and teaching interests are in the economics of information technology and in electronic commerce. He has served as a senior editor at Information Systems Research and as an associate editor at Management Science. Professor Dewan received his Ph.D. in business administration from the Simon School at the University of Rochester. Serge Egelman (“ The Effect of Online Privacy Information on Purchasing Behavior: An Experimental Study ”) is a postdoctoral researcher at Brown University. He received a Ph.D. from Carnegie Mellon University's School of Computer Science in 2009. His research focuses on helping end users make better privacy and security decisions when using computers. He has consulted Microsoft on creating more intuitive security interfaces, and his research has received publicity from such news outlets as the BBC, Scientific American, NPR, The Guardian, PC World, and Pittsburgh Post-Gazette. Anindya Ghose (“ Using Transaction Prices to Re-Examine Price Dispersion in Electronic Markets ”) is an assistant professor of IOMS at New York University. He received his Ph.D. from Carnegie Mellon University. His research interests include the economics of electronic commerce, user-generated content, and search engine advertising. He received the NSF CAREER Award in 2007 for his research on estimating the value of user-generated content in electronic markets and its monetization through online advertising. He is also a winner of the 2007 Microsoft Virtual Earth and the 2006 Microsoft Live Labs awards for his work on examining the economic value of textual user-generated content on the Internet. He has published in Management Science, Information Systems Research, Statistical Science, Marketing Letters, MIS Quarterly, JEMS, and JMIS. He serves as an Associate Editor of Management Science and ISR. Bin Gu (“ Environmental Uncertainty and IT Infrastructure Governance: A Curvilinear Relationship ”) is an Assistant Professor at the Red McCombs School of Business, University of Texas at Austin. He received his Ph.D. from the Wharton School, University of Pennsylvania. His research focuses on electronic commerce, online social networks, and strategic management of information technology in enterprise settings. His work has appeared in several journals, including MIS Quarterly, Information Systems Research, Journal of Management Information Systems, Journal of Retailing, and Decision Support Systems. Kemal Guler (“ An Experimental Comparison of Linear and Nonlinear Price Combinatorial Auctions ”) is a principal scientist at Hewlett-Packard Laboratories, Palo Alto, California. He received his Ph. D. in game theory from Caltech, his MSc. in economics from Baylor University, and his B.Sc. in economics from Bogazici University. He was previously an assistant professor of economics at the University of Houston. His research interests include game theory, microeconomics, and econometrics with a primary focus on modeling business decision problems from an empirical mechanism design perspective. Alok Gupta (“ An Analysis of Incentives for Network Infrastructure Investment Under Different Pricing Strategies ”) holds the Curtis L. Carlson School-wide Chair in Information Management at Carlson School of Management, University of Minnesota. He received his Ph.D. in MSIS from UT, Austin in 1996. He has published more than 40 articles in top management science, operations research, economics, and IS journals. He received the prestigious NSF CAREER award in 2001 for his research on online auctions. He serves on the editorial boards of Management Science, ISR, JMIS, and DSS. J.J. Po-An Hsieh (“ Addressing Digital Inequality for the Socioeconomically Disadvantaged Through Government Initiatives: Forms of Capital That Affect ICT Utilization ”) is currently an assistant professor at Hong Kong Polytechnic University. He received his Ph.D. from Georgia State University and an MBA degree from the University of Maryland. His research focuses on the areas of digital divide and IS implementation, usage, and success. He has published in MIS Quarterly, European Journal of Information Systems, and others, and he has presented papers at the International Conference on Information Systems and the Academy of Management Annual Conference. Varghese S. Jacob (“ Vendor and Client Interaction for Requirements Assessment in Software Development: Implications for Feedback Process ”) is Senior Associate Dean and Ashbel Smith Professor of Management Information Systems in the School of Management at the University of Texas at Dallas (UTD). His research interests are in data quality, electronic commerce, software engineering, decision support systems, and artificial intelligence applications. His research papers have been published in the premier journals in the field. He is coeditor-in-chief of the journal Information Technology and Management and also serves on the editorial boards of several other journals. Rajiv Jayanth (“ Vendor and Client Interaction for Requirements Assessment in Software Development: Implications for Feedback Process ”) is a Ph.D. candidate at the University of Texas at Dallas. He received his M.S. in computer science and M.S. in telecom engineering from the University of Texas at Dallas. His professional experience includes developing and testing software for telecom networks. His research interest lies in the intersection of economics, information systems, and psychology. He has presented his work at several conferences and workshops in North America, Europe, and Asia. Monica Johar (“ Analyzing Sharing in Peer-to-Peer Networks Under Various Congestion Measures ”) is an assistant professor of MIS at University of North Carolina at Charlotte. She received a Ph.D. in management science with a concentration in MIS from University of Texas at Dallas in 2006. Her research interests include software development methodologies, content delivery systems, knowledge management, and Web personalization. She is a member of AIS and INFORMS. Her research has been published in IS journals such as Information Systems Research. Boris Jukic (“ An Analysis of Incentives for Network Infrastructure Investment Under Different Pricing Strategies ”) is an associate professor of operations and information systems at the School of Business at Clarkson University. In 1998, he received his Ph.D. in management science and information systems from University of Texas at Austin. His research has been published in various information systems, economics, and computer science journals, such as Computational Economics, Information Systems, DSS, M & SOM and IEEE Internet Computing. He can be reached via email at bjukic@clarkson.edu . Mark Keil (“ Addressing Digital Inequality for the Socioeconomically Disadvantaged Through Government Initiatives: Forms of Capital That Affect ICT Utilization ”) is the Board of Advisors Professor of Computer Information Systems at Georgia State University. His research focuses on IT project management, and he has published more than 70 journal articles in MIS Quarterly, Decision Sciences, Journal of Management Information Systems, and many other journals. He currently serves on the editorial boards of Information Systems Research, Journal of Management Information Systems, Decision Sciences, and Information Systems Journal. Huigang Liang (“ Punishment, Justice, and Compliance in Mandatory IT Settings ”) is an assistant professor at College of Business, East Carolina University. His research focuses on IT issues at both individual and organizational levels, including avoidance, compliance, assimilation, decision process, and healthcare informatics. His work has appeared in MIS Quarterly, Communications of the ACM, Decision Support Systems, Journal of Strategic Information Systems, International Journal of Medical Informatics, and Journal of the American Pharmacists Association, among others. He received his Ph.D. from Auburn University. Syam Menon (“ Analyzing Sharing in Peer-to-Peer Networks Under Various Congestion Measures ”) is an associate professor of information systems in the School of Management at The University of Texas at Dallas. He received his Ph.D. in management science from University of Chicago in 1997. He is a member of INFORMS, IEEE, AIS, and ACM. His research interests include data privacy and Internet advertising, among others. He has published in various INFORMS, IEEE, and ACM journals. Vijay S. Mookerjee (“ Analyzing Sharing in Peer-to-Peer Networks Under Various Congestion Measures ”) holds a Ph.D. in management, with a major in MIS, from Purdue University. His current research interests include social networks, optimal software development methodologies, storage and cache management, content delivery systems, and the economic design of expert systems and machine learning systems. He has published in and has articles forthcoming in several archival information systems, computer science, and operations research journals. He serves (or has served on) on the editorial board of Management Science, Information Systems Research, INFORMS Journal on Computing, Operations Research, Decision Support Systems, Information Technology and Management, and Journal of Database Management. Alexander Pikovsky (“ An Experimental Comparison of Linear and Nonlinear Price Combinatorial Auctions ”) started his studies of mathematics in the Ukraine and finished them in 2002 at the TU München (Germany) with a master's degree in financial and economic mathematics. From 2003 to 2008 he was working as a researcher in the field of combinatorial auctions as the Chair of Internet-Based Information Systems (Informatics, TU München), where he got his doctorate degree (dr. rer. nat.). Since 2008, he has been working as a freelance software developer. Suresh Radhakrishnan (“ Vendor/Client Interaction for Requirements Assessment in Software Development: Implications for Feedback Process ”) is a professor of accounting and information management at the University of Texas at Dallas, Director of Research at the Institute for Excellence in Corporate Governance and a Visiting Research Fellow at various Asian universities. His research papers have been published in leading academic journals in accounting, finance, and operations management. His work on organization capital and charitable giving has been covered by major newspapers and media and presented at forums such as the Microsoft CEO Summit and the SAP Global Congress. His research interests include valuation of intangible assets, performance evaluation, contracting, and impact of corporate governance. Arun Rai (“ Addressing Digital Inequality for the Socioeconomically Disadvantaged Through Government Initiatives: Forms of Capital That Affect ICT Utilization ”) is Regents' Professor and the Harkins Chair in Information Systems at the Robinson College of Business, Georgia State University. His research has appeared in Management Science, MIS Quarterly, Decision Sciences, European Journal of Operations Research, IEEE Transactions on Engineering Management, Information Systems Research, Journal of Management Information Systems, and other journals. He currently serves as a senior editor at Information Systems Research and as an associate editor at Journal of MIS. Gautam Ray (“ Environmental Uncertainty and IT Infrastructure Governance: A Curvilinear Relationship ”) is an Assistant Professor at the Carlson School of Management at the University of Minnesota. His research interests are in the area of impact of IT on firm scope and structure and how IT does create value. His research has been published in ISR, Management Science, Marketing Science, MIS Quarterly, Journal of Management Information Systems and the Strategic Management Journal. He received his Ph.D. from the Ohio State University in 2000. Fei Ren (“ Information Technology and Firm Boundaries: Impact on Firm Risk and Return Performance ”) is an assistant professor in information systems at Guanghua School of Management, Peking University, China. She received her Ph.D. from the University of California, Irvine in 2007. Her research interests are in the areas of the business value of information technology, IT and business strategy, and organizational and social impact of IT. Her research articles have appeared in journals and conferences such as Information Systems Research. Tobias Scheffel (“ An Experimental Comparison of Linear and Nonlinear Price Combinatorial Auctions ”) studied information systems at TU München, where he completed his undergraduate studies in 2005 and received his master of science degree in 2007. He has been working as a research assistant at the Chair of Internet-Based Information Systems (TU München) since then, currently completing his PhD. degree in Prof. Bichler's group. His research focuses on electronic markets—especially combinatorial auctions—as well as experimental economics and computer computational experiments. Dale O. Stahl (“ An Analysis of Incentives for Network Infrastructure Investment Under Different Pricing Strategies ”) is a Malcolm Forsman Centennial Professor of Economics at the University of Texas at Austin. In 1982, he received his Ph.D. from the University of California at Berkeley in Economics. He has published more than 60 articles in top economics journals in the areas of general equilibrium theory, dynamics and stability theory, game-theoretic approaches to price determination, and experimental game theory. He can be reached via email at stahl@eco.texas.edu . Anjana Susarla (“ Contracting Efficiency and New Firm Survival in Markets Enabled by Information Technology ”) is an assistant professor in the Department of Information Systems and Operations Management at the Michael G. Foster School of Business at the University of Washington at Seattle. She received her Ph.D. in information systems from the University of Texas at Austin. Her research has appeared in several refereed journals and conference proceedings, such as MIS Quarterly, Information Systems Research, Journal of Management Information Systems, IEEE Computer, and the International Conference on Information Systems. Janice Tsai (“ The Effect of Online Privacy Information on Purchasing Behavior: An Experimental Study ”) finished her Ph.D. in Engineering and Public Policy from Carnegie Mellon University in 2009. Her research focuses on usable privacy and decision making. She also has a master's degree in library and information science from Rutgers University, where she was an Eagleton Fellow at the Eagleton Institute of Politics. Her career goal is to help develop and guide technology policy. Her research has received publicity from such news outlets as the BBC News. Andrew B. Whinston (“ An Analysis of Incentives for Network Infrastructure Investment Under Different Pricing Strategies ”) received his Ph.D. at Carnegie Mellon University and is currently Hugh Roy Cullen Professor of Information Systems, Economics, and Computer Science at the University of Texas at Austin. He has published more than 250 articles in top professional journals in management science, operations research, and economics and information systems. He is editor-in-chief of Decision Support Systems and Journal of Organizational Computing and Electronic Commerce. He can be reached via email at abw@uts.cc.utexas.edu . Liansheng Wu (“ Punishment, Justice, and Compliance in Mandatory IT Settings ”) is professor and chair of the accounting department, Guanghua School of Management, Peking University. His research interests include accounting standard setting, earnings management, corporate governance, and managerial accounting. His work has appeared in Journal of Accounting and Public Policy, Journal of Banking and Finance, Applied Economics, and International Review of Economics and Finance. He serves on the editorial board of International Journal of Managerial and Financial Accounting and International Journal of Management Development. Ling Xue (“ Environmental Uncertainty and IT Infrastructure Governance: A Curvilinear Relationship ”) is an assistant professor at the Kania School of Management, University of Scranton. His research interests are in the areas of IT business value, IT governance, the impact of IT on firm structure, and IT security. He received his Ph.D. in management science and information systems from the University of Texas at Austin in 2007. He has published in International Journal of Electronic Commerce. Yajiong Xue (“ Punishment, Justice, and Compliance in Mandatory IT Settings ”) is an assistant professor at East Carolina University. She received her Ph.D. from Auburn University. Her research has appeared in MIS Quarterly, Communications of the ACM, Decision Support Systems, Journal of Strategic Information Systems, International Journal of Production Economics, International Journal of Medical Informatics, and others. Her research interests include the strategic management of information technology, IT governance, and healthcare information systems. She serves as an Associate Editor for Communications of the AIS. Yuliang Yao (“ Using Transaction Prices to Re-Examine Price Dispersion in Electronic Markets ”) is an assistant professor at College of Business and Economics of Lehigh University. His research interests are at the interdisciplinary fields of information systems and supply chain management, including business value of IT-enabled supply chains, economics of electronic commerce, and VMI, CPFR and CRM. His publications have appeared in Management Science, Decision Support Systems, Electronic Markets, and Supply Chain Management Review.

Abstract: Ritu Agarwal (“ The Effects of Diversity in Global, Distributed Collectives: A Study of Open Source Project Success ”) is Professor and Dean's Chair of Information Systems at the R.H. Smith School of Business, University of Maryland, College Park, where she also directs the Center for Health Information and Decision Systems. She has published over 80 papers in journals such as JAMIA, Health Affairs, Information Systems Research, MIS Quarterly, Management Science, and elsewhere. Her current research is focused on the use and transformational impacts of IT in healthcare settings, how health IT changes clinical workflows, privacy concerns with digitized medical information, and the effects of IT on cost and healthcare quality. John Aloysius (“ Sequential Pricing of Multiple Products: Leveraging Revealed Preferences of Retail Customers Online and with Auto-ID Technologies ”) is an associate professor of supply chain management at the Walton College of Business. His Ph.D. is in Management Science and Operations Management from Temple University in 1996. His research interests are in emerging technologies and behavior in the retail supply chain. His publications have appeared in Production and Operations Management, Organizational Behavior and Human Decision Processes, Journal of Economic Behavior and Organization, European Journal of Operations Research, Decision Sciences, and other journals. Martin Bichler (“ Efficiency with Linear Prices? A Game-Theoretical and Computational Analysis of the Combinatorial Clock Auction ”) is a full professor at the Department of Informatics of the TU München, and a faculty member at the TUM School of Management. He has contributed to different areas of computer science, information systems, and operations research. In particular he is interested in the design of multi-object markets. Martin worked as a consulter in spectrum auctions and on auction design. Jesse Bockstedt (“ The Framing Effects of Multipart Pricing on Consumer Purchasing Behavior of Customized Information Good Bundles ”) is an assistant professor of MIS in the Eller College of Management at the University of Arizona. He received his Ph.D. in business administration (information systems) from the Carlson School of Management, University of Minnesota. His research focuses on electronic commerce, online consumer behavior, behavioral economics, and the impacts technology evolution on consumers and markets. His work has been published in Information Systems Research, MIS Quarterly, Journal of MIS, and other leading journals. Robert Bostrom (“ An Investigation of the Appropriation of Technology-Mediated Training Methods Incorporating Enactive and Collaborative Learning ”) is a Professor Emeritus at University of Georgia. He is also President of a training and consulting company focusing on facilitation and the effective integration of people and technology. Besides numerous publications in leading academic and practitioner journals, he has extensive consulting and training experience. His current research interests are focused on business process management systems, digital collaboration, technology-supported learning, and the effective design of organizations via integrating human and technological components. Ann-Frances Cameron (“ Multicommunicating: Juggling multiple conversations in the workplace ”) is an associate professor in information technology at HEC Montréal. She received her Ph.D. from Queen's School of Business at Queen's University in Kingston, Ontario. Her research interests include the use and impact of new technologies for inter- and intraorganizational communication. Her work has appeared in Organization Science, Computers in Human Behavior, Journal of Small Business Management, and Journal of Information Technology Education. Damon E. Campbell (“ Breaking the Ice in B2C Relationships: Understanding Pre-Adoption E-Commerce Attraction ”) is the Kelley Gene Cook, Sr. Chair of Business Administration and an Assistant Professor of Information Systems in the Else School of Management at Millsaps College. He received his B.A. (2003) in Business Administration from Lewis-Clark State College and M.B.A. (2004) and Ph.D. (2008) degrees from Washington State University. His research interests include interface characteristics in human-computer interaction, e-commerce strategy, and online business-to-consumer relationships. His research has appeared in Decision Sciences, the Journal of the Association for Information Systems, and others. Dipanjan Chatterjee (“ Governance of Interorganizational Information Systems: A Resource Dependence Perspective ”) is an assistant professor in the Faculty of Business, Brock University. He received his Ph.D. from Rensselaer Polytechnic Institute. His research interest is investigating the role of information technology in inter-organizational relationships. He has published his work in IEEE Transactions on Engineering Management, Government Information Quarterly and Information Systems and E-business Management. His work was also presented at the Academy of Management annual conference and at the Hawaii International Conference on Systems Sciences. Sherae Daniel (“ The Effects of Diversity in Global, Distributed Collectives: A Study of Open Source Project Success ”) is an assistant professor at the Katz School of Business, University of Pittsburgh. She received a B.S. and M.S. in Information Systems from Carnegie Mellon University and a Ph.D. from the University of Maryland, College Park. Her current research is focused on Internet mediated work processes. Her work appears in journals including Statistical Science and the Journal of the AIS. Cary Deck (“ Sequential Pricing of Multiple Products: Leveraging Revealed Preferences of Retail Customers Online and with Auto-ID Technologies ”) is a professor of economics in the Sam M. Walton College of Business at the University of Arkansas where he also directs the Behavioral Business Research Laboratory. Dr. Deck is an affiliate of the Economic Science Institute at Chapman University and is Co-Editor of the Southern Economic Journal. His research focuses on the impact of institutions on market outcomes and strategic behavior. He received his Ph.D. in economics from the University of Arizona. Rajiv M. Dewan (“ Pricing of Wireless Services: Service Pricing vs. Traffic Pricing ”) is a professor of computers and information systems and senior associate dean for faculty and research at the Simon School of Business, University of Rochester. Professor Dewan has teaching and research interests in electronic commerce, organizational issues in management of information systems, the information technology industry, and financial information systems. He has won three best paper awards for research, all done in collaboration with his colleagues at the Simon School. His current research interests include marketing on the Internet, employment contracts in the software industry, the use of standards in managing information systems, and the use of electronic documents in business workflow automation. His papers have appeared in Information Systems Research, Management Science, Journal of Management Information Systems, Journal on Computing, Decision Support Systems, and IEEE Transactions on Computers. Amy Farmer (“ Sequential Pricing of Multiple Products: Leveraging Revealed Preferences of Retail Customers Online and with Auto-ID Technologies ”) is a professor of economics and holder of the Martin chair in business in the Sam M. Walton College of Business at the University of Arkansas where she also directs the Global Community Development Program. She is an applied game theorist focusing on conflict resolution with research interests in law and economics and economics of the family. She received her Ph.D. in economics from Duke University. Marshall Freimer (“ Pricing of Wireless Services: Service Pricing vs. Traffic Pricing ”) is a professor of management science and of computers and information systems at the Simon School of Business, University of Rochester. Professor Freimer has teaching and research interests in applied probability and optimization. His work appears in management, engineering, economics, statistics and mathematics journals. His recent papers have appeared in Information Systems Research, Journal of Management Information Systems, and Marketing Science. He is the co-author with Leonard S. Simon of the book Analytical Marketing. He has held a Ford Foundation Faculty Fellowship and has won the Simon School Superior Teaching Award. Xianjun Geng (“ Contracting Information Security in the Presence of Double Moral Hazard ”) is an assistant professor in information systems at the Jindal School of Management, University of Texas at Dallas. He received his Ph.D. in Information Systems from the University of Texas at Austin. His recent research focuses on how Internet-enabled IT transforms consumer behavior and firm strategy. His work has appeared or is forthcoming in academic journals such as Management Science, Information Systems Research, MIS Quarterly, Journal of Marketing, and Marketing Science. Kim Huat Goh (“ The Framing Effects of Multipart Pricing on Consumer Purchasing Behavior of Customized Information Good Bundles ”) is an assistant professor in the Division of IT and Operations Management in Nanyang Business School, Nanyang Technological University. He received his Ph.D. in business administration (information systems) from the Carlson School of Management, University of Minnesota. His research areas include behavioral economics, consumer behavior in technology mediated environments, electronic markets and the value of IT. He has previously published in MIS Quarterly and the Journal of Management Information Systems. Varun Grover (“ Do Large Firms Become Smaller By Using Information Technology? ”) is the William S. Lee (Duke Energy) Distinguished Professor of Information Systems at Clemson University. He has published extensively in the information systems field, with nine recent articles ranking him among the top four researchers based on top-tier publications as well as citation impact (h-index). Dr. Grover is Senior Editor (Emeritus) for MIS Quarterly, and the Journal of the AIS and is a Fellow of the Association for Information Systems Saurabh Gupta (“ An Investigation of the Appropriation of Technology-Mediated Training Methods Incorporating Enactive and Collaborative Learning ”) is an associate professor at Coggin College of Business at University of North Florida, Jacksonville, FL. He completed his Doctorate in MIS at the University of Georgia in Athens, GA. He also holds a B.B.A. from Gujarat University, India, PGDM from Nirma University (India) and M.B.A. from University of Georgia. His work experience and research interests are in the areas of IT training, knowledge management and ERP implementation. Kun Shin Im (“ Do Large Firms Become Smaller By Using Information Technology? ”) is a professor of information systems at the School of Business, Yonsei University. He holds a Ph.D. in MIS from University of South Carolina and a Ph.D. in Accounting from Yonsei University. His research interests include organizational effectiveness of IT, IT impact on individual behaviors, and IT Innovation. He has published several studies in these areas in MIS Quarterly, Information Systems Research, and Journal of the AIS. Karthik N. Kannan (“ The Association between the Disclosure and the Realization of Information Security Risk Factors ”) is currently an associate professor of management at Krannert School of Management and a faculty fellow with the Center for Education and Research in Information Assurance and Security (CERIAS) at Purdue University. He received his Ph.D. from Carnegie Mellon University in 2003. His research interests are pricing in digital contexts, and economics of information security and piracy. Atanu Lahiri (“ Pricing of Wireless Services: Service Pricing vs. Traffic Pricing ”) is an assistant professor of information systems at Foster School of Business, University of Washington. Professor Lahiri has research interests in economics of telecommunications, piracy, software security, and healthcare IT. His papers have appeared in Journal of Management Information Systems, Management Science, Manufacturing & Service Operations Management, and Decision Support Systems. His teaching interests include data networks, information security, and cloud computing. Chul Ho Lee (“ Contracting Information Security in the Presence of Double Moral Hazard ”) is a visiting professor in management and MIS department in Williams College of Business, Xavier University. He received his Ph.D. in Management Science from the University of Texas at Dallas. His research focuses on economics of information security. Huigang Liang (“ Ensuring Employees' IT Compliance: Carrot or Stick? ”) is an associate professor at College of Business, East Carolina University. His research focuses on IT issues at both individual and organizational levels including avoidance, compliance, assimilation, decision process, and healthcare informatics. His work has appeared in MIS Quarterly, Information Systems, Journal of MIS, Journal of AIS, Communications of the ACM, Decision Support Systems, Information Systems Journal, and Journal of Strategic Information Systems, among others. He received his Ph.D. from Auburn University. Srinivasan Raghunathan (“ Contracting Information Security in the Presence of Double Moral Hazard ”) is a professor in information systems at the Jindal School of Management, University of Texas at Dallas. He received his Ph.D. from the University of Pittsburgh. His current research focuses on economics of information security and value of information sharing in supply chains. His work has appeared in journals such as Management Science, Information Systems Research, Journal on Computing, Decision Analysis and various IEEE Transactions. T. Ravichandran (“ Governance of Interorganizational Information Systems: A Resource Dependence Perspective ”) is a professor in the Lally School of Management & Technology, RPI. His research expertise and interests are in the following areas: strategic implications of information technology, supply chain management and business-business electronic markets, innovation diffusion and assimilation and organizational renewal and growth through innovation. His research in some of these areas has been funded by grants from the National Science Foundation, Ministry of Education, Singapore, John Broadbent Endowment for Research in Entrepreneurship and Pontikes Center for the Management of Information. His research has been published in journals such as the Communications of the ACM, Decision Sciences, European Journal of Information Systems, IEEE Transactions on Engineering Management, Information Systems Research, Information Technology and Management, Logistics Information Systems, Journal of Management Information Systems and MIS Quarterly. He currently serves as a Department Editor of IEEE Transactions on Engineering Management. In the recent past, he has served as a member of the Editorial Review Board of IEEE Transactions on Engineering Management and as an Associate Editor of MIS Quarterly and Information Systems Research. He has also served as a guest editor for the ACM Database for Advances in MIS. Pasha Shabalin (“ Efficiency with Linear Prices? A Game-Theoretical and Computational Analysis of the Combinatorial Clock Auction ”) holds a diploma in Informatics and a Ph.D. in Information Systems from the TU München. He also completed a graduate program on Technology Management. Pasha was involved in different IT projects as a software developer and a software architect. He worked as a consulter on spectrum auctions and on auction design for industrial procurement markets. Katherine J. Stewart (“ The Effects of Diversity in Global, Distributed Collectives: A Study of Open Source Project Success ”) is an associate professor of information systems at the R. H. Smith School of Business, University of Maryland at College Park. She received a B.S. in Business Administration from the University of Florida and a Ph.D. from the University of Texas at Austin. Dr. Stewart has served on the editorial boards of Information Systems Research, Management Science, Journal of Management Information Systems, and the Journal of the AIS. Tracy Sykes (“ Digital Divide Initiative Success in Developing Countries: A Longitudinal Field Study in a Village in India ”) is an assistant professor at the University of Arkansas. She has previously worked at the Australian National University and the National Science Foundation. Her research focuses on leveraging social network theory, methods, and analyses to understand technology-related phenomena in organizations and society. Her work has been published in various journals, including MIS Quarterly, Information Systems Research, Production and Operations Management, and the Journal of the American Medical Informatics Association. James T. C. Teng (“ Do Large Firms Become Smaller By Using Information Technology? ”) is Eunice and James L. West Distinguished Professor at the University of Texas at Arlington. He has a Ph.D. degree in Information Systems from the University of Minnesota. He has published extensively in leading information systems journals such as Information Systems Research, MIS Quarterly, Journal of MIS, and Decision Sciences. His research interests include knowledge management, implementation of enterprise systems, and the impact of information technology on the individuals, organizations and economy. Tunay Tunca (“ Fighting Fire with Fire: Commercial Piracy and the Role of File Sharing on Copyright Protection Policy for Digital Goods ”) is an associate professor of decision, operations, and information technology at Robert H. Smith School of Business at University of Maryland. He received his Ph.D. in Business Administration from Stanford University in 2002. His research interests include economics of technology and operations management, theoretical and empirical analysis of procurement contracts and auctions, economics of network security, digital goods and piracy, and the role of information and forecasting in supply chains. Jackie Rees Ulmer (“ The Association between the Disclosure and the Realization of Information Security Risk Factors ”) is currently an associate professor of management information systems and a faculty fellow with the Center for Education and Research in Information Assurance and Security (CERIAS) at Purdue University. She received her Ph.D. from the University of Florida in 1998. Her research interests include information security, privacy, and machine learning in business intelligence. Joseph S. Valacich (“ Breaking the Ice in B2C Relationships: Understanding Pre-Adoption E-Commerce Attraction ”) is an Eller Professor of MIS in the Eller College of Management at the University of Arizona and a Fellow of the Association for Information Systems. He received the Ph.D. degree from The University of Arizona (MIS) (1989), and the M.B.A. and B.S. (computer science) degrees from The University of Montana. His primary research interests include human-computer interaction, cyber security, deception detection, technology-mediated collaboration, individual and group decision making, and e-business. Viswanath Venkatesh (“ Digital Divide Initiative Success in Developing Countries: A Longitudinal Field Study in a Village in India ”) is a Distinguished Professor and Billingsley Chair at the University of Arkansas. He has published in and served on the editorial boards of leading IS, organizational behavior, operations management, marketing and psychology journals, with citations to his work being over 17,000 and 6,000 per Google Scholar and Web of Science respectively. He has published a book to help junior academics in their pursuit of success ( http://road2successbook.com ). He runs an IS research rankings website ( http://vvenkatesh.com/ISRanking ). Tawei Wang (“ The Association between the Disclosure and the Realization of Information Security Risk Factors ”) is currently an assistant professor of accounting at the University of Hawaii at Manoa. He received his Ph.D. from Krannert Graduate School of Management at Purdue University in 2009. His research interests are information security, IT management, and mandatory as well as voluntary disclosures. Jane Webster (“ Multicommunicating: Juggling multiple conversations in the workplace ”) received her Ph.D. from New York University and is the E. Marie Shantz Professor of MIS at Queen's University, Canada. She has served as a Senior Editor for MIS Quarterly, VP of Publications for AIS, and advisor for AIS-SIGCHI. She has published in journals such as the Academy of Management Journal, Communication Research, Information Systems Journal, MIS Quarterly, and Organization Science. Her current research concerns information systems and technologies to support environmental sustainability. John D. Wells (“ Breaking the Ice in B2C Relationships: Understanding Pre-Adoption E-Commerce Attraction ”) is an associate dean for professional programs and an associate professor in the Isenberg School of Management at the University of Massachusetts Amherst. He received his B.B.A. degree in Management from the University of Oklahoma and M.S. and Ph.D. degrees in Management Information Systems from Texas A & M University. His research has focused on the influence of system design characteristics on human perceptions and behavior primarily in the area of business-to-consumer (B2C) E-Commerce. Liansheng Wu (“ Ensuring Employees' IT Compliance: Carrot or Stick? ”) is professor and chair of the accounting department, Guanghua School of Management, Peking University. His research interests include accounting standard setting, earnings management, corporate governance, and managerial accounting. His work has appeared in Journal of Accounting and Public Policy, Journal of Banking and Finance, Applied Economics, and International Review of Economics and Finance. He serves on the editorial board of International Journal of Managerial and Financial Accounting and International Journal of Management Development. Qiong Wu (“ Fighting Fire with Fire: Commercial Piracy and the Role of File Sharing on Copyright Protection Policy for Digital Goods ”) is a Director in the Fixed Income Research division of Bank of China International in Hong Kong, China. She received her Ph.D. in Business Administration from Stanford University in 2007, M.S. degree in computer science and B.S. degrees in computer science and economics from Beijing University. Her research has previously appeared in such journals as Management Science and Chinese Journal of Software. Yajiong Xue (“ Ensuring Employees' IT Compliance: Carrot or Stick? ”) is an associate professor at East Carolina University. She received her Ph.D. from Auburn University. Her research has appeared in MISQ, ISR, JMIS, JAIS, ISJ, JSIS, Communications of the ACM, Decision Support Systems, International Journal of Production Economics, International Journal of Medical Informatics, and others. Her research interests include IT governance, strategic management of information technology, and healthcare information systems. Georg Ziegler (“ Efficiency with Linear Prices? A Game-Theoretical and Computational Analysis of the Combinatorial Clock Auction ”) holds a diploma in Financial Mathematics and a Ph.D. in Information Systems from the TU München. In his research he focuses on pricing in combinatorial auctions. He is interested in optimization, game theory, and experimental research.

Abstract: Gad Allon (“ ‘We Will Be Right with You’: Managing Customer Expectations with Vague Promises and Cheap Talk ”) is an associate professor of managerial economics and decision science at the Kellogg School of Management at Northwestern University. Recently he has been studying models of information sharing among firms and customers both in service and retail settings. He is also conducting empirical studies to investigate time-based competition in the fast-food industry as well as the factors contributing to emergency department overcrowding. Ravi Anupindi (“ Integrated Optimization of Procurement, Processing, and Trade of Commodities ”) is Michael R. and Mary Kay Hallman Fellow and Professor of Operations Management at the Stephen M. Ross School of Business at the University of Michigan, Ann Arbor. His main research areas include supply chain management, strategic sourcing, lean operations, and marketing-operations interfaces. His more recent interest is in supply chain issues as well as health-care delivery models in the emerging economies. Achal Bassamboo (“ ‘We Will Be Right with You’: Managing Customer Expectations with Vague Promises and Cheap Talk ”) is an associate professor of managerial economics and decision science at the Kellogg School of Management at Northwestern University. His research interests lie in the areas of service systems, revenue management, and information sharing. His current research involves designing flexible service systems with a focus on capacity planning and effects of parameter uncertainty. He is also studying credibility of information provided by a service provider or a retailer to its customers. Dimitris Bertsimas (“ Optimal Selection of Airport Runway Configurations ”) is the Boeing Leaders for Global Operations Professor of Management at Massachusetts Institute of Technology (MIT), the codirector of the Operations Research Center at MIT, and a member of the National Academy of Engineering. His research interests include discrete, robust, and stochastic optimization and their applications. E. Borgonovo (“ A Study of Interactions in the Risk Assessment of Complex Engineering Systems: An Application to Space PSA ”) is the director of the ELEUSI research center and associate professor at the Department of Decision Sciences, Bocconi University, Milan, Italy. He received his Ph.D. at Massachusetts Institute of Technology. He is a recipient of several national and international awards, including the McCormack Fellowship of the Westinghouse Corporation. He is a member of the editorial boards of several journals including European Journal of Operational Research, Reliability Engineering and System Safety, International Journal of Mathematics in Operational Research, International Journal of Risk Management, and International Journal of Service and Computing-Oriented Manufacturing. He is the author of more than 90 publications. Ivan Contreras (“ Benders Decomposition for Large-Scale Uncapacitated Hub Location ”) is a post-doctoral fellow at HEC Montréal and at the Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation (CIRRELT). In 2009 he received his Ph.D. degree from the Department of Statistics and Operations Research at the Technical University of Catalonia. His research interests include location analysis, network design, combinatorial optimization, and decomposition methods for large-scale optimization. His main papers have appeared in Transportation Science, INFORMS Journal on Computing, European Journal of Operational Research, Computers & Operations Research, Operations Research Spectrum, and Annals of Operations Research. Jean-François Cordeau (“ Benders Decomposition for Large-Scale Uncapacitated Hub Location ”) is a professor of logistics and operations management at HEC Montréal, where he holds the Canada Research Chair in Logistics and Transportation. He is also an assistant director of the Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation (CIRRELT) and member of the Groupe d'études et de recherche en analyse des décisions (GERAD). He is associate editor of Asia-Pacific Journal of Operational Research, INFOR, OR Insight, and a member of the editorial board of Computers & Operations Research. He has authored or coauthored more than 80 articles in the areas of transportation, logistics, combinatorial optimization, and decomposition methods for large-scale optimization. Sripad K. Devalkar (“ Integrated Optimization of Procurement, Processing, and Trade of Commodities ”) is an assistant professor of operations management at the Indian School of Business. His interests lie in exploring problems at the interface of operations management, finance, and risk management. The research published here was conducted when he was a Ph.D. student in the Operations and Management Science Department at the Stephen M. Ross School of Business at the University of Michigan, Ann Arbor. Francis de Véricourt (“ Nurse Staffing in Medical Units: A Queueing Perspective ”) is an associate professor of technology and operations management at INSEAD and adjunct professor at Duke University. His academic interests are in operations excellence. His recent research focuses on health care and sustainability. Andreas Ehrenmann (“ Generation Capacity Expansion in a Risky Environment: A Stochastic Equilibrium Analysis ”) is chief analyst in the Center of Expertise in Economic Modeling and Studies in GDF Suez. He obtained his Diploma in mathematics from the University of Karlsruhe and his Ph.D. from the Judge Business School of the University of Cambridge (Management Science Group). Jiejian Feng (“ An Optimal Policy for Joint Dynamic Price and Lead-Time Quotation ”) is a visiting faculty member in the Business School of St. Mary's University in Halifax, Nova Scotia, Canada. He received his Ph.D. in operations management, his M.Phil. in human factors from the Hong Kong University of Science and Technology, and his B.A. in applied mathematics from the South China University of Technology. His research interests include operations management, financial engineering, and footwear design and development. Michael Frankovich (“ Optimal Selection of Airport Runway Configurations ”) is a doctoral candidate at the Operations Research Center at Massachusetts Institute of Technology. He is broadly interested in optimization and its applications, notably in transportation. Cheng-Der Fuh (“ Efficient Simulation of Value at Risk with Heavy-Tailed Risk Factors ”) is Chair Professor in the Graduate Institute of Statistics, National Central University, and research fellow in the Institute of Statistical Science, Academia Sinica, both in Taiwan. His research interests are in hidden Markov models, Markov chain Monte Carlo, change point detection, and quantitative finance. This paper reflects part of his continuing interest and effort in constructing efficient simulation schemes. Itai Gurvich (“ ‘We Will Be Right with You’: Managing Customer Expectations with Vague Promises and Cheap Talk ”) is an assistant professor of managerial economics and decision science at the Kellogg School of Management at Northwestern University. He studies queueing aspects of large-scale service systems with a focus on network design, staffing, and routing decisions. Arie Harel (“ Convexity Results for the Erlang Delay and Loss Formulae When the Server Utilization Is Held Constant ”) is an associate professor at the Zicklin School of Business, Baruch College, City University of New York. This paper continues his long-standing interest in the convexity properties of queueing systems. Tobias Harks (“ The Worst-Case Efficiency of Cost Sharing Methods in Resource Allocation Games ”) is a postdoctoral researcher at the Combinatorial Optimization and Graph Algorithms Group of the Institute of Mathematics at Technical University Berlin. His research covers algorithmic game theory, approximation algorithms, and online algorithms. He is particularly interested in formulating and analyzing game-theoretic models related to traffic and computer networks. Ya-Hui Hsu (“ Efficient Simulation of Value at Risk with Heavy-Tailed Risk Factors ”) completed her Ph.D. in statistics at the University of Illinois at Urbana–Champaign. She works as a statistician at Abbott Laboratories, a health-care company based in Abbott Park, Illinois. Her research interests include quantile regression, risk management, Bayesian inference, stochastic calculus, and importance sampling. This paper reflects part of her continuing interest and effort in constructing efficient simulation schemes. Inchi Hu (“ Efficient Simulation of Value at Risk with Heavy-Tailed Risk Factors ”) is a professor at the School of Business and Management, Hong Kong University of Science and Technology. This paper reflects part of his continuing interest and effort in constructing efficient simulation schemes. A. J. E. M. Janssen (“ Refining Square-Root Safety Staffing by Expanding Erlang C ”) received his engineering degree and Ph.D. degree in mathematics from the Eindhoven University of Technology (TU/e), the Netherlands, in 1976 and 1979, respectively. From 1979 to 1981 he was a Bateman Research Instructor at the Mathematics Department of California Institute of Technology. From 1981 until 2010 he worked with Philips Research Laboratories, Eindhoven, where he was a research fellow since 1999 and recipient of the Gilles Holst Award in 2003. His principal responsibility at Philips Research was to provide high-level mathematical service and consultancy in mathematical analysis. He continues his research and consultancy activities from his current affiliations with TU/e, EURANDOM, and the Department of Electrical Engineering, with additional affiliation with TU–Delft (optics) and ASML. In 2003, he was elected Fellow of the IEEE for his contributions to mathematical time-frequency analysis and signal processing. He has published over 180 papers in the fields of Fourier analysis, signal analysis, time-frequency analysis, electron microscopy, optical diffraction theory, acoustics, and queueing theory. His current interests include the application of mathematical techniques as used in the theory of optical aberrations to the characterization of acoustical radiators. Otis B. Jennings (“ Nurse Staffing in Medical Units: A Queueing Perspective ”) is an associate professor of operations management at the Duke University Fuqua School of Business. His academic interests are in queueing systems as models of manufacturing and service systems and the fluid and diffusion asymptotic analysis of such systems. Jae Ho Kim (“ Optimal Energy Commitments with Storage and Intermittent Supply ”) is a Ph.D. candidate in the Department of Electrical Engineering at Princeton University, where he has been a student since 2007. He earned B.A. and M.A. degrees in electrical engineering at Cooper Union in New York in 2007. His research area is in dynamic decision making under uncertainty, and he works at the CASTLE Laboratory under the supervision of Warren Powell. Matthias Köppe (“ Rational Generating Functions and Integer Programming Games ”) is an associate professor of mathematics at the University of California, Davis. He received his Ph.D. in mathematics at the Otto von Guericke University of Magdeburg in 2002. His research interests include integer programming and computational discrete mathematics. Gilbert Laporte (“ Benders Decomposition for Large-Scale Uncapacitated Hub Location ”) is a professor of operations research at HEC Montréal and Canada Research Chair in Distribution Management. He is also a member of the Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation (CIRRELT) and founding member of the Groupe d'études et de recherche en analyse des décisions (GERAD). He has authored or coauthored 15 books and more than 380 scientific articles in combinatorial optimization, mostly in the areas of vehicle routing, location, and timetabling. He is the former editor-in-chief of Transportation Science and Computers & Operations Research. He is associate editor or editorial board member of Transportation Science, Networks, Naval Research Logistics, Computers & Operations Research, and several other journals. He is a member of the Royal Society of Canada, from which he received the Innis-Gérin Medal. In 2009 he received the Robert M. Herman Lifetime Achievement Award in Transportation Science from the Transportation Science and Logistics Society of INFORMS. Yun Fong Lim (“ Cellular Bucket Brigades ”) is an assistant professor at the Lee Kong Chian School of Business, Singapore Management University, where he teaches operations management at the undergraduate and graduate levels. His research centers on workforce management in manufacturing and services. He is especially interested in boosting productivity of work teams through cross-training, work-sharing, self-organization, and effective remuneration. He served twice as cluster chair of workforce management for INFORMS annual meetings. His other research interests include warehousing and fulfillment in supply chains. Liming Liu (“ An Optimal Policy for Joint Dynamic Price and Lead-Time Quotation ”) is a chair professor of operations management at Hong Kong Lingnan University. Previously he was a professor of operations management at Hong Kong Polytechnic University. His research interests focus on logistics and supply chain management. He also works in the areas of shipping, maritime studies, and health-care management. Xiaoming Liu (“ An Optimal Policy for Joint Dynamic Price and Lead-Time Quotation ”) is an associate professor of management at the University of Macau, China. Her research interest is in the modeling and solution of optimization problems with applications in supply chain management, health care, and hospitality management. Konstantin Miller (“ The Worst-Case Efficiency of Cost Sharing Methods in Resource Allocation Games ”) is a Ph.D. student in the Telecommunication Networks Group at Technical University Berlin. His research interests include combinatorial optimization and game theory, with special focus on communication networks. Javad Nasiry (“ Dynamic Pricing with Loss-Averse Consumers and Peak-End Anchoring ”) is an assistant professor in the Information Systems, Business Statistics and Operations Management (ISOM) Department at Hong Kong University of Science and Technology. His research interests lie in the area of behavioral operations and contract theory. The current paper is part of his Ph.D. dissertation at INSEAD and stems from a broader agenda that uses modeling and experimental approaches to study realistic behavior in operational contexts. Amedeo Odoni (“ Optimal Selection of Airport Runway Configurations ”) is professor of aeronautics and astronautics, professor of civil and environmental engineering, and a codirector of the Airline Industry Program at Massachusetts Institute of Technology (MIT). He has also served as codirector of the FAA's National Center of Excellence in Aviation Education, codirector of the Operations Research Center at MIT, editor of Transportation Science, and consultant to numerous international airport and aviation-related organizations. His recent books include the bestselling textbook Airport Systems: Planning, Design and Management (McGraw-Hill 2003) coauthored with Richard de Neufville, and The Global Airline Industry (John Wiley & Sons 2009) coedited with Peter Belobaba and Cynthia Barnhart. Ioana Popescu (“ Dynamic Pricing with Loss-Averse Consumers and Peak-End Anchoring ”) is the Booz & Company Professor in Revenue Management and associate professor of decision sciences at INSEAD, Singapore. Her research interests are in pricing and revenue management, behavioral operations, and moment problems. This paper is part of a larger research program that incorporates realistic customer behavior in pricing and revenue management. Warren B. Powell (“ Optimal Energy Commitments with Storage and Intermittent Supply ”) is a professor in the Department of Operations Research and Financial Engineering at Princeton University, where he has taught since 1981. He is the director of CASTLE Laboratory ( http://www.castlelab.princeton.edu ), which specializes in the development of stochastic optimization models and algorithms with applications in transportation and logistics, energy, health, and finance. The author/coauthor of over 170 refereed publications, he is an INFORMS Fellow and the author of Approximate Dynamic Programming: Solving the Curses of Dimensionality (John Wiley & Sons). His primary research interests are in approximate dynamic programming for high-dimensional applications, optimal learning (the efficient collection of information), and their application in energy systems analysis and transportation. He is a recipient of the Wagner Prize and has twice been a finalist in the prestigious Edelman competition. He has served in a variety of editorial and administrative positions for INFORMS, including INFORMS Board of Directors, area editor for Operations Research, president of the Transportation Science Section, and numerous prize and administrative committees. Maurice Queyranne (“ Rational Generating Functions and Integer Programming Games ”) is the Advisory Council Professor in Operations and Logistics at the Sauder School of Business, University of British Columbia, Vancouver, British Columbia, Canada. His research and teaching interests range from methodology, particularly discrete optimization and game theory, to operations management, in particular supply chain and health-care management. Christopher Thomas Ryan (“ Rational Generating Functions and Integer Programming Games ”) is an assistant professor at the Booth School of Business, University of Chicago. His research interests include algorithmic game theory, discrete optimization, and health-care operations. Amitabh Sinha (“ Integrated Optimization of Procurement, Processing, and Trade of Commodities ”) is an assistant professor of operations and management science at the University of Michigan's Ross School of Business. His research interests are in supply chain management, logistics, and applications of networks and combinatorics in operations. Yves Smeers (“ Generation Capacity Expansion in a Risky Environment: A Stochastic Equilibrium Analysis ”) is Professor Emeritus at the School of Engineering of the Université Catholique de Louvain in Belgium. He is a researcher in CORE at the same university. He is scientific advisor at the Department of Economic Studies and Modelling (Centre d'Expertise en Etudes et Modélisation Economiques) of GDF Suez and a Fellow at the Judge Business School of the University of Cambridge (Management Science Group). He graduated in engineering and economics from the universities of Liège and Louvain in Belgium, respectively, and obtained his M.S. and Ph.D. degrees in industrial administration from Carnegie Mellon University. His career has focused on the modeling and economic analysis of electricity and gas markets. C. L. Smith (“ A Study of Interactions in the Risk Assessment of Complex Engineering Systems: An Application to Space PSA ”) is a key member of the Idaho National Laboratory's Risk, Reliability and NRC Programs Department. His primary duties and responsibilities are to lead risk and reliability methods research and development efforts and applied engineering projects for the U.S. Nuclear Regulatory Commission (NRC), the National Aeronautics and Space Administration (NASA), and the Department of Energy (DOE). He has made significant contributions in the way that NASA views risk and performs risk assessment. His work through the multimillion-dollar project for NASA Headquarters Office of Safety and Mission Assurance has been a major factor in reshaping the use of PRA for NASA's high-profile manned and unmanned space projects, including developing probabilistic risk-assessment models in SAPHIRE, assisting in the development of a risk-informed decision-making guidebook, and completing a NASA guidebook on Bayesian inference for risk and reliability. He obtained his undergraduate degree (B.S.) from Idaho State University (ISU). He continued his education at ISU and completed a nuclear engineering M.S. He completed his Ph.D. and doctoral thesis work at Massachusetts Institute of Technology, focusing on formal decision-making activities at nuclear power plants. George Steiner (“ Revised Delivery-Time Quotation in Scheduling with Tardiness Penalties ”) received his Ph.D. in combinatorics and optimization from the University of Waterloo in 1982 and his M.Sc. in mathematics from Loránd Eötvös University of Budapest, Hungary, in 1971. After working in industry for almost 10 years, he joined the Faculty of Business at McMaster University in 1981, where he has been a full professor since 1992. His research interests include scheduling, algorithms on graphs and partially ordered sets, and combinatorial optimization. He has published in numerous scientific journals including Operations Research, Management Science, IIE Transactions, SIAM Journal on Computing, SIAM Journal on Discrete Mathematics, Mathematics of Operations Research, Discrete Applied Mathematics, Annals of Operations Research, Journal of Graph Theory, Journal of Algorithms, and Theoretical Computer Science. Alexander L. Stolyar (“ Shadow-Routing Based Control of Flexible Multiserver Pools in Overload ”) is a Distinguished Member of Technical Staff in the Industrial Mathematics and Operations Research Department of Bell Labs, Alcatel-Lucent, Murray Hill, New Jersey. His research interests are in queueing networks, stochasic processes, and stochastic modeling of communication and service networks. The present paper is primarily motivated by applications to large-scale contact centers. It is part of the author's research in the general area of optimal control of queueing networks. Tolga Tezcan (“ Shadow-Routing Based Control of Flexible Multiserver Pools in Overload ”) is an assistant professor of operations management at the Simon Graduate School of Business at the University of Rochester. His research interests are in asymptotic analysis and optimal control of large queuing systems with applications in service systems. He obtained his Ph.D. degree in industrial and systems engineering from Georgia Institute of Technology in 2006. J. S. H. van Leeuwaarden (“ Refining Square-Root Safety Staffing by Expanding Erlang C ”) is associate professor of probability theory and stochastic networks in Eindhoven University of Technology, and research fellow of the research institute EURANDOM. He received the INFORMS Telecommunication Dissertation Award (2008), a Veni Grant (2006–2009) from the Netherlands Organisation for Scientific Research (NWO), and a Starting Grant (2010–2015) from the European Research Council. Ren-Her Wang (“ Efficient Simulation of Value at Risk with Heavy-Tailed Risk Factors ”) is an assistant professor in the Department of Banking and Finance, Tamkang University, Taiwan. His research interests are in derivatives pricing, risk management, and efficient computational methods. This paper reflects part of his continuing interest and effort in constructing efficient simulation schemes. Xinghao Yan (“ Decentralized Inventory Sharing with Asymmetric Information ”) is an assistant professor in management science at Richard Ivey School of Business, University of Western Ontario. His research interests are in information asymmetry/information sharing, inventory sharing, supplier selection, quality competition, and health-care operations. Rui Zhang (“ Revised Delivery-Time Quotation in Scheduling with Tardiness Penalties ”) obtained his Ph.D. degree at the DeGroote School of Business, McMaster University, Hamilton, Ontario, Canada in June 2010. His research focuses on supply chain scheduling, especially due date and logistics coordination. He applies a variety of methodologies such as computational complexity theory, combinatorial optimization, and design and analysis of approximation algorithms in his research. Hui Zhao (“ Decentralized Inventory Sharing with Asymmetric Information ”) is an assistant professor of management at Krannert School of Management, Purdue University. Her research interests are in the areas of supply chain management, collaboration in decentralized systems, pharmaceutical supply chains, and information sharing. She teaches business analytics, supply chain management, and pharmaceutical supply chains. Bert Zwart (“ Refining Square-Root Safety Staffing by Expanding Erlang C ”) received his Ph.D. at Eindhoven University of Technology in 2001 and held appointments at INRIA, Eindhoven, and Georgia Institute of Technology before moving to the Center of Mathematics and Computer Science (CWI) in Amsterdam. At CWI he leads the Probability and Stochastic Networks Group. He is a professor at VU University Amsterdam and is also affiliated at EURANDOM and Georgia Tech. His honors include an IBM Faculty Award, the Erlang Prize, and VENI and VIDI awards from the Dutch Science Foundation (Netherlands Organisation for Scientific Research, NWO). He is area editor for stochastic models at Operations Research and is coeditor in chief of the new journal Surveys in OR/MS.

Abstract: Ali E. Abbas (“ One-Switch Independence for Multiattribute Utility Functions ”) is an associate professor in the Department of Industrial and Enterprise Systems Engineering at the University of Illinois at Urbana–Champaign. He received an M.S. in electrical engineering (1998), an M.S. in engineering economic systems and operations research (2001), a Ph.D. in management science and engineering (2004), and a Ph.D. (minor) in electrical engineering, all from Stanford University. His research interests include utility theory, decision making with incomplete information and preferences, dynamic programming, and information theory. He is a senior member of the IEEE, a member of the Institute for Operations Research and the Management Sciences (INFORMS), a former council member of the Decision Analysis Society of INFORMS, an organizer of several decision analysis conferences, and has served on various committees of INFORMS including the decision analysis student paper award and the Junior Faculty Initiative Group. He is also an associate editor for the INFORMS journals Decision Analysis and Operations Research and coeditor of the DA column in education for Decision Analysis Today. Shipra Agrawal (“ A Unified Framework for Dynamic Prediction Market Design ”) is a Ph.D. student in the Department of Computer Science at Stanford University, working under the direction of Yinyu Ye. Her current research interests include online and stochastic optimization, prediction markets, and game theory. Sigrún Andradóttir (“ Queueing Systems with Synergistic Servers ”) is a professor in the H. Milton Stewart School of Industrial and Systems Engineering at the Georgia Institute of Technology. Her research interests are in the simulation and applied probability fields. More specifically, her research is focused on increasing the efficiency of stochastic simulations so that larger and more complex systems can be analyzed and optimized via simulation, and on determining how organizations can utilize flexible resources more effectively. U. Ayesta (“ Heavy-Traffic Analysis of a Multiple-Phase Network with Discriminatory Processor Sharing ”) is an IKERBASQUE researcher at the Basque Center for Applied Mathematics, Derio, Spain. Previously he was a CNRS researcher at LAAS, Toulouse, France and an ERCIM postdoc fellow at CWI, Amsterdam, The Netherlands. He received the Ph.D. degree in computer science from Universite de Nice–Sophia Antipolis (France). His Ph.D. research work was carried out at the research laboratories of INRIA (MAESTRO team) and France Telecom R & D. Urtzi Ayesta holds an M.Sc. degree in electrical engineering from Columbia University and a Diplome in telecommunication engineering from Nafarroako Unibertsitate Publikoa-Universidad Publica de Navarra (Spain). Hayriye Ayhan (“ Queueing Systems with Synergistic Servers ”) is a professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Institute of Technology. Her interests lie in the area of analysis and control of queueing systems. The paper in this issue, coauthored with S. Andradóttir and D. G. Down, is a result of the authors' common interest in developing dynamic server assignment policies that maximize throughput in queueing networks with flexible servers. David E. Bell (“ One-Switch Independence for Multiattribute Utility Functions ”) is a professor at Harvard Business School. Like the current paper, most of his work has centered on finding ways to assess multiattribute utility functions accurately but tractably. His first papers in Operations Research, on integer programming and on utility functions for time streams, appeared in 1977. His best known Operations Research paper, on regret, appeared in 1982. He was an early chair of the Decision Analysis Society, was the program chair of the 1976 ORSA-TIMS conference in Boston, and was awarded the 2001 Ramsey Medal. Bahar Biller (“ Accounting for Parameter Uncertainty in Large-Scale Stochastic Simulations with Correlated Inputs ”) is an assistant professor of operations management and manufacturing at Carnegie Mellon University. Her primary research interest lies in the area of computer simulation experiments for stochastic systems and, more specifically, in the simulation methodology for dependent input processes with applications to financial markets and global supply chains. Arnab Bisi (“ A Periodic-Review Base-Stock Inventory System with Sales Rejection ”) is an assistant professor at the Krannert School of Management of Purdue University. His research and teaching interests include stochastic models, statistics, inventory. and supply chain management. He received a Ph.D. in mathematics and statistics from Hong Kong University of Science and Technology, an M.Stat. degree from the Indian Statistical Institute, and a B.Sc. in statistics from the University of Calcutta. Chien-Ming Chen (“ Efficient Resource Allocation via Efficiency Bootstraps: An Application to R & D Project Budgeting ”) is an assistant professor of operations management at the Nanyang Business School (NBS) of Nanyang Technological University in Singapore. Prior to his position at NBS, he was a postdoctoral scholar and lecturer at the UCLA Institute of the Environment and Sustainability. His main research interests include environmental issues in operations and management, as well as theories and applications of production economics. His research work has been published in Production and Operations Management, the European Journal of Operational Research, and other publications. Yihsu Chen (“ Economic and Emissions Implications of Load-Based, Source-Based, and First-Seller Emissions Trading Programs Under California AB32 ”) is an assistant professor in environmental economics at the University of California, Merced, with a joint appointment between the School of Social Sciences, Humanities and Arts and the School of Engineering. He is also an affiliated researcher with PSERC (Power Systems Engineering Research Center), UCE3 (University of California Center for Energy and Environmental Economics) and SNRI (Sierra Nevada Research Institute.) His research focuses on understanding industry's response to energy and environmental regulations. His current research also explores the impacts of transportation infrastructure on the local air quality and human health. Sofie Coene (“ Charlemagne's Challenge: The Periodic Latency Problem ”) is a postdoctoral student at the Faculty of Business and Economics at the University of Leuven, Belgium. She obtained her Ph.D. with a thesis entitled “Routing Problems with Profits and Periodicity” at the Katholieke Universiteit Leuven in 2009. Her research interests are in combinatorial optimization and its applications in routing and logistics. Michele Conforti (“ A Geometric Perspective on Lifting ”) is a professor of operations research in the Mathematics Department of the University of Padua. He holds a Ph.D. from Carnegie Mellon University. His research interests are in graph theory, integer programming and combinatorial optimization. He is a recipient of the Fulkerson Prize. Canan G. Corlu (“ Accounting for Parameter Uncertainty in Large-Scale Stochastic Simulations with Correlated Inputs ”) is a Ph.D. candidate in the Tepper School of Business at Carnegie Mellon University. Her research interests include the design of large-scale simulations with applications to inventory management and the applications of operations research techniques to nonprofit organizations. Gérard Cornuéjols (“ A Geometric Perspective on Lifting ”) is IBM Professor of Operations Research at the Tepper School of Business at Carnegie Mellon University. He has a Ph.D. from the School of OR and IE at Cornell University. His research interests are in integer programming and combinatorial optimization. He received the Lanchester Prize, the Fulkerson Prize, and the Dantzig Prize. Maqbool Dada (“ A Periodic-Review Base-Stock Inventory System with Sales Rejection ”) is a professor in operations management at the Johns Hopkins Carey Business School. His research and teaching interests include inventory theory, pricing models, and service operations. He received a Ph.D. in management from Massachusetts Institute of Technology and a B.S. in industrial engineering and operations management from the University of California. Evrim Dalkiran (“ Selecting Optimal Alternatives and Risk Reduction Strategies in Decision Trees ”) is a Ph.D. candidate in the Grado Department of Industrial and Systems Engineering at Virginia Polytechnic Institute and State University. Her research areas include polynomial programming, reformulation-linearization technique (RLT), and global optimization. This paper relates to her interest in decision analysis and mixed-integer programming. Erick Delage (“ A Unified Framework for Dynamic Prediction Market Design ”) graduated from Stanford University with a Ph.D. in electrical engineering under the supervision of Yinyu Ye. His thesis explores tractable methods that account for risks related to parameter and distribution uncertainty in continuous stochastic optimization problems. In June 2009, he joined the Department of Management Sciences at HEC Montréal as an assistant professor. Douglas G. Down (“ Queueing Systems with Synergistic Servers ”) is a professor in the Department of Computing and Software at McMaster University. One of his current interests is how one may exploit flexibility to construct effective scheduling schemes in distributed server systems. The paper in this issue, coauthored with S. Andradóttir and H. Ayhan, is the result of the authors' common interest in developing dynamic server assignment policies that maximize throughput in queueing networks with flexible servers. Alaa H. Elwany (“ Structured Replacement Policies for Components with Complex Degradation Processes and Dedicated Sensors ”) is an assistant professor of maintenance, reliability, and quality in the Department of Industrial Engineering and Innovation Sciences, Eindhoven University of Technology, The Netherlands. He received his Ph.D. in industrial and systems engineering in 2009 from the H. Milton Stewart School of Industrial and Systems Engineering at the Georgia Institute of Technology. He earned a B.Sc. in production engineering and an M.Sc. in industrial engineering from Alexandria University, Egypt in 2002 and 2004, respectively. His main research interests are in the application of stochastic models in operations research to manufacturing systems and service logistics, with an emphasis on degradation modeling, maintenance management, and spare parts inventories. Nagi Z. Gebraeel (“ Structured Replacement Policies for Components with Complex Degradation Processes and Dedicated Sensors ”) is an associate professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Institute of Technology. He received his M.S. and Ph.D. from Purdue University in 1998 and 2003, respectively. He holds a B.Sc. in production engineering from the University of Alexandria, Egypt. His research focuses on improving the accuracy of predicting unexpected failures of engineering systems by leveraging sensor-based data streams. His major research interests are in the areas of degradation modeling and sensor-based prognostics, reliability engineering, sensor-driven maintenance operations, and logistics. Theodore S. Glickman (“ Selecting Optimal Alternatives and Risk Reduction Strategies in Decision Trees ”) is professor of decision sciences in the George Washington University (GWU) School of Business. He holds degrees in physics and operations research from Stony Brook University and the Johns Hopkins University, respectively. Prior to GWU, he taught at Boston University and Virginia Tech. His research centers on risk analysis and its application to transportation systems and public policy issues. This paper was stimulated by his interest in the field of homeland security. Benjamin F. Hobbs (“ Economic and Emissions Implications of Load-Based, Source-Based, and First-Seller Emissions Trading Programs Under California AB32 ”) is the Theodore K. and Kay W. Schad Professor of Environmental Management in the Department of Geography and Environmental Engineering (DoGEE) of the Johns Hopkins University, Baltimore, Maryland, where he has been on the faculty since 1995. He also has a joint appointment in the Department of Applied Mathematics and Statistics. From 1977–1979, he was economics associate at Brookhaven National Laboratory, National Center for Analysis for Energy Systems. He later joined the Energy Division of Oak Ridge National Laboratory from 1982–1984. Between 1984 and 1995, he was on the faculty of the Department of Systems Engineering and Civil Engineering at Case Western Reserve University, Cleveland, Ohio. He serves on the California ISO Market Surveillance Committee, the Public Interest Advisory Committee of the Gas Technology Institute, and as an advisor to The Netherlands Energy Research Center (ECN). L. Jeff Hong (“ Sequential Convex Approximations to Joint Chance Constrained Programs: A Monte Carlo Approach ”) is an associate professor of industrial engineering and logistics management at the Hong Kong University of Science and Technology. His research has focused on stochastic simulation and stochastic optimization, with applications in financial risk management, environmental policies, and logistics and supply chain management. Salal Humair (“ Optimizing Strategic Safety Stock Placement in General Acyclic Networks ”) is a visiting associate professor at the Harvard School of Public Health in the Department of Global Health and Population. His current research interests are in the area of operations research applied to large-scale systems such as health care and water systems. Sunder Kekre (“ Valuation of Storage at a Liquefied Natural Gas Terminal ”) is the Bosch Professor of Manufacturing and Operations at the Tepper School of Business at Carnegie Mellon University. His research interests are interdisciplinary and include modeling the performance and impact of new technologies, strategic and operational assessment of product and process designs, and implications on the firm's value chain of emerging and merged markets. Guoming Lai (“ Valuation of Storage at a Liquefied Natural Gas Terminal ”) is an assistant professor in the Department of Information, Risk, and Operations Management of the McCombs School of Business at the University of Texas at Austin. His research interests include the management of real options in commodity and energy industries, the interfaces of operations with finance and marketing, and classical supply chain management topics. John D. C. Little (“ Little's Law as Viewed on Its 50th Anniversary ”) is an Institute Professor at MIT and a Professor of Management Science at the MIT Sloan School. He has been in the Marketing Group at Sloan for many years but returned to his queuing roots in 2008 to write a chapter on Little's Law for an operations management book. This was done with his colleague Stephen Graves of the MIT Sloan Operations Management Group. The current paper is the result of realizing that 2011 is the 50th anniversary of his paper “A Proof for the Queuing Formula: L = λW,” published in Operations Research. In the current paper, Little has surveyed the importance of Little's Law in the evolution of queuing theory and practice. At present he is interested in extending Little's Law still further into applications to practice and in returning to some of his marketing science agenda. Andrew L. Liu (“ Economic and Emissions Implications of Load-Based, Source-Based, and First-Seller Emissions Trading Programs Under California AB32 ”) is an assistant professor in the School of Industrial Engineering at Purdue University. His primary research interests lie in the interactions of optimization, game theory, and industrial organization, with applications to modeling and analyzing energy markets and environmental policy. His secondary interests involve risk management in energy markets. In addition to his university experience, he has worked at ICF International as a senior associate, responsible for developing optimization and stochastic models on investment and environmental policy analysis related to electricity markets. Lisa M. Maillart (“ Structured Replacement Policies for Components with Complex Degradation Processes and Dedicated Sensors ”) is an assistant professor in the Industrial Engineering Department at the University of Pittsburgh. Prior to joining the faculty at Pitt, she served on the faculty of the Department of Operations in the Weatherhead School of Management at Case Western Reserve University. She received her M.S. and B.S. in industrial and systems engineering from Virginia Polytechnic Institute and State University, and her Ph.D. in industrial and operations engineering from the University of Michigan. Her primary research interest is in sequential decision making under uncertainty, with applications in medical decision making and maintenance optimization. Karthik Natarajan (“ Mixed 0-1 Linear Programs Under Objective Uncertainty: A Completely Positive Representation ”) is an associate professor in the Department of Management Sciences, City University of Hong Kong. His research interests include mathematical finance and stochastic optimization. This paper arises from his supervision of Zhichao Zheng's honors thesis in the Department of Mathematics, National University of Singapore. R. Núñez-Queija (“ Heavy-Traffic Analysis of a Multiple-Phase Network with Discriminatory Processor Sharing ”) is associate professor of operations research at the Faculty of Economics and Business and part-time full professor of industrial mathematics at the Faculty of Science, both at the University of Amsterdam. He is also affiliated with CWI, the Center for Mathematics and Computer Science in Amsterdam. In 1995 he obtained his M.Sc. in econometrics and operations research at the Free University of Amsterdam. He wrote his dissertation at CWI and obtained his Ph.D. from Eindhoven University of Technology (TU/e) in 2000. He was subsequently affiliated with INRIA (France), CWI, TU/e, and with TNO Information and Communication Technology. He is associate editor for Mathematical Methods of Operations Research and Performance Evaluation, and was coeditor of special issues of Queueing Systems, Annals of Operations Research, and Lecture Notes in Computer Science and Performance Evaluation. Pamela Pen-Erh Pei (“ Sourcing Flexibility, Spot Trading, and Procurement Contract Structure ”) is a research associate at United BioSource in Lexington, Massachusetts. She received her Ph.D. in operations research from Massachusetts Institute of Technology in 2008 under the supervision of David Simchi-Levi, and M.S. and B.S. in mathematical sciences, and B.A. in economics from the Johns Hopkins University in 2003. Previously, she also worked as a quantitative research associate at State Street Associates and as an analyst for American International Group in Hong Kong and Shanghai, China. Mark Peters (“ A Unified Framework for Dynamic Prediction Market Design ”) earned his Ph.D. in management science and engineering from Stanford University under the guidance of Yinyu Ye. His research has been focused on applying concepts from convex optimization to prediction markets and dynamic pricing problems. Alan Scheller-Wolf (“ Valuation of Storage at a Liquefied Natural Gas Terminal ”) teaches in the Operations Management Area at the Tepper School of Business of Carnegie Mellon University. His research focuses on stochastic processes and how they can be used to estimate and improve the performance of computer, communication, manufacturing and service systems, inventory systems, and supply chains. Nicola Secomandi (“ Valuation of Storage at a Liquefied Natural Gas Terminal ”) is an associate professor of operations management at the Tepper School of Business of Carnegie Mellon University. His research interests include real options in the energy and commodity industries, the interface between operations and finance, revenue and supply chain management, and logistics under uncertainty. Hanif D. Sherali (“ Selecting Optimal Alternatives and Risk Reduction Strategies in Decision Trees ”) is a University Distinguished Professor and the W. Thomas Rice Chaired Professor of Engineering in the Industrial and Systems Engineering Department at Virginia Polytechnic Institute and State University. He is an elected member of the National Academy of Engineering. His areas of research interest are in optimization theory and its applications. This paper relates to his general interest in risk management and global optimization of nonconvex programs. David Simchi-Levi (“ Sourcing Flexibility, Spot Trading, and Procurement Contract Structure ”) is a professor of engineering systems at Massachusetts Institute of Technology. The work described in this paper is part of a larger research project that deals with effective supply chain and procurement strategies that improve supply chain performance. Related papers appeared recently in Operations Research and Mathematics of Operations Research. Frits C. R. Spieksma (“ Charlemagne's Challenge: The Periodic Latency Problem ”) is a professor in the Faculty of Business and Economics at the University of Leuven, Belgium. He has a Ph.D. in operations research from Maastricht University (1992). His research interests are in operations research, especially combinatorial optimization problems and their applications. Chung Piaw Teo (“ Mixed 0-1 Linear Programs Under Objective Uncertainty: A Completely Positive Representation ”) is a professor in the Department of Decision Sciences at the NUS Business School, National University of Singapore. His research interests include the analysis and design of algorithm, discrete optimization, and supply chain management. Tristan Tomala (“ Fault Reporting in Partially Known Networks and Folk Theorems ”) is associate professor of economics at the Economics and Decision Sciences Department of HEC Paris. His research interests include game theory, repeated games, models of strategic communication, and cryptography. This work is part of a literature that explores the interplay between game theory and distributed computing. Tunay I. Tunca (“ Sourcing Flexibility, Spot Trading, and Procurement Contract Structure ”) is an associate professor of operations, information, and technology at the Graduate School of Business at Stanford University, where he received his Ph.D. in 2002. His research interests include economics of technology and operations management, auctions and contracts for procurement, and the role of information and forecasting in supply chains. I. M. Verloop (“ Heavy-Traffic Analysis of a Multiple-Phase Network with Discriminatory Processor Sharing ”) received the M.Sc. degree in mathematics from Utrecht University, The Netherlands, in 2005 and a Ph.D. from the Department of Mathematics and Computer Science, Eindhoven University of Technology, The Netherlands, in 2009. Her Ph.D. research was carried out within the Probability, Networks and Algorithms Department of the Center for Mathematics and Computer Science (CWI) in Amsterdam, The Netherlands. She is a post-doc at the Basque Center for Applied Mathematics (BCAM), Spain. Her research interests are in the performance analysis of communication networks, scheduling, and queueing theory. Mulan X. Wang (“ Valuation of Storage at a Liquefied Natural Gas Terminal ”) is a quantitative analyst at DTE Energy Trading. Her responsibilities include natural gas structure deal pricing and statistical arbitrage modeling. Zizhuo Wang (“ A Unified Framework for Dynamic Prediction Market Design ”) is a Ph.D. student in the Department of Management Science and Engineering at Stanford University. His research interests include stochastic and robust optimization, information markets, and Internet economics. His advisor is Yinyu Ye. Sean P. Willems (“ Optimizing Strategic Safety Stock Placement in General Acyclic Networks ”) is associate professor of operations and technology management at Boston University's School of Management. His research focuses on supply chain design and optimization problems. Gerhard J. Woeginger (“ Charlemagne's Challenge: The Periodic Latency Problem ”) is a professor in the Department of Mathematics and Computer Science at Eindhoven University of Technology (TU Eindhoven). He is chair of the combinatorial optimization group at the TU Eindhoven. He received his Ph.D. at the TU Graz (Austria) in 1990 and has worked at the Free University Berlin, TU Graz, University of Twente, and since 2004 at TU Eindhoven. His research interests are in combinatorial optimization and complexity theory. Yanyi Xu (“ A Periodic-Review Base-Stock Inventory System with Sales Rejection ”) is an assistant professor of operations management at the School of Management, Shanghai University. He received a Ph.D. in operations management from Purdue University, an M.S. in management science from Fudan University, and a B.S. in transportation science and engineering from Tongji University. His research interests lie in the area of inventory management, supply chain management, and marketing-operations interface. Yi Yang (“ Sequential Convex Approximations to Joint Chance Constrained Programs: A Monte Carlo Approach ”) is a Ph.D. student in the Department of Computer Science at the University of California, Irvine. This paper is part of his M.Phil. thesis completed under the supervision of L. J. Hong at the Hong Kong University of Science and Technology. Yinyu Ye (“ A Unified Framework for Dynamic Prediction Market Design ”) is a professor of management science and engineering and is affiliated with the Institute of Computational and Mathematical Engineering of Stanford University. His current research interests include continuous and discrete optimization and operations research. Giacomo Zambelli (“ A Geometric Perspective on Lifting ”) is a research fellow at the University of Padua. He has a Ph.D. from the Tepper School of Business at Carnegie Mellon University. His research interests are in integer programming and combinatorial optimization. Liwei Zhang (“ Sequential Convex Approximations to Joint Chance Constrained Programs: A Monte Carlo Approach ”) is a professor at the School of Mathematical Sciences at Dalian University of Technology. He received his Ph.D. from Dalian University of Technology in 1998. His research interests include nonlinear programming, variational analysis and optimization, and stochastic programming. Zhichao Zheng (“ Mixed 0-1 Linear Programs Under Objective Uncertainty: A Completely Positive Representation ”) is a Ph.D. student in the Department of Decision Sciences at the NUS Business School, National University of Singapore. His research interests include the analysis and design of robust systems, decision making under uncertainty, and issues in supply chain management. Joe Zhu (“ Efficient Resource Allocation via Efficiency Bootstraps: An Application to R & D Project Budgeting ”) is professor of operations at the School of Business at Worcester Polytechnic Institute. He publishes extensively in journals such as Management Science, Operations Research, IIE Transactions, Naval Research Logistics, European Journal of Operational Research, Journal of the Operational Research Society, Annals of Operations Research, and the Journal of Portfolio Management. He is an author of several books and serves as an area editor for Omega.

Abstract: Shipra Agrawal (“ Price of Correlations in Stochastic Optimization ”) graduated from Stanford University with a Ph.D. in computer science under the supervision of Yinyu Ye. Her thesis explores the robustness of assuming statistical independence when solving optimization problems under uncertainty. Her research interests include algorithms, online and stochastic optimization, prediction markets, and algorithmic game theory. Augusto Aguayo (“ Optimizing Long-Term Production Plans in Underground and Open-Pit Copper Mines ”) has a degree in mining engineering from the University of Chile. He is the director of engineering for underground projects at Codelco Andina Division. Frédéric Babonneau (“ Design and Operations of Gas Transmission Networks ”) is a scientific consultant in operations research for the company ORDECSYS. He received a Ph.D. in operations research from the University of Geneva and has made contributions in the optimization of nondifferentiable and large-scale models, in the optimization of transportation problems, and in robust optimization. Ning Cai (“ Pricing Asian Options Under a Hyper-Exponential Jump Diffusion Model ”) is an assistant professor in the Department of Industrial Engineering and Logistics Management at the Hong Kong University of Science and Technology. His research interests include financial engineering and applied probability. He received both M.S. and Ph.D. degrees in operations research in the Department of Industrial Engineering and Operations Research at Columbia University and both B.S. and M.S. degrees in probability and statistics in the School of Mathematical Sciences at Peking University. Raúl Cancino (“ Optimizing Long-Term Production Plans in Underground and Open-Pit Copper Mines ”) has a degree in mining engineering from the University of Chile. He is director of engineering at Codelco North Division. Felipe Caro (“ Optimizing Long-Term Production Plans in Underground and Open-Pit Copper Mines ”) is an assistant professor of decisions, operations, and technology management at the UCLA Anderson School of Management. He is interested in decisions made under uncertainty with a strong emphasis on practical applications. He holds a Ph.D. in operations management from Massachusetts Institute of Technology and earned an industrial engineering degree from the University of Chile. He has ongoing projects with his Chilean colleagues, now mostly in the retail sector. Jaime Catalán (“ Optimizing Long-Term Production Plans in Underground and Open-Pit Copper Mines ”) is a computational engineer educated at the University of Chile with an MBA degree from ESADE, Barcelona. Since 1995, he has been working as an engineer in the design and implementation of several mathematical and computational systems, mainly in projects directed by Rafael Epstein. Hong Chen (“ Asymptotic Optimality of Balanced Routing ”) was Alumni Professor in Supply Chain Management at the Sauder School of Business, the University of British Columbia. He joined Shanghai Institute of Finance, Shanghai Jiaotong University, as a professor in August 2011. His research interests include modeling, optimization, and empirical analysis of manufacturing and service operations and supply chain management. Shaojie Deng (“ Sequential Importance Sampling and Resampling for Dynamic Portfolio Credit Risk ”) is an applied researcher at Microsoft. He obtained his Ph.D. in statistics at Stanford University in 2010. His research interests include rare-event simulation, sequential Monte Carlo, hidden Markov models and particle filters, quantitative finance, risk management, probability theory and stochastic processes, controlled experiment, and data mining on Web data. Yichuan Ding (“ Price of Correlations in Stochastic Optimization ”) is a fourth year Ph.D. candidate in the Department of Mangement Science and Engineering at Stanford University. He holds a B.S. from Zhejiang University and an M.Math from the University of Waterloo. His research is focused on operations research methodology and its application in healthcare management. Xuan Vinh Doan (“ On the Complexity of Non-Overlapping Multivariate Marginal Bounds for Probabilistic Combinatorial Optimization Problems ”) was a postdoctoral fellow in the Combinatorics and Optimization Department of the University of Waterloo, Canada. He joined the Operational Research and Management Sciences Group in Warwick Business School, UK, in September 2011 as an assistant professor. His research interests include optimization under uncertainty and sparse optimization. James S. Dyer (“ A Copulas-Based Approach to Modeling Dependence in Decision Trees ”) holds the Fondren Centennial Chair in Business in the McCombs School of Business at the University of Texas at Austin. He served as chair of the Department of Information, Risk, and Operations Management for nine years (1988–1997). He is the former Chair of the Decision Analysis Society of the Operations Research Society of America (now INFORMS). He received the Frank P. Ramsey Award for outstanding career achievements from the Decision Analysis Society of INFORMS in 2002. He was named a Fellow of INFORMS in 2006 and also received the MCDM Society's Edgeworth-Pareto Award in 2006. His research interests include the valuation of risky investment decisions and risk management. Faramroze G. Engineer (“ A Branch-Price-and-Cut Algorithm for Single-Product Maritime Inventory Routing ”) is a lecturer at the University of Newcastle, Australia. His research interests include the development and application of optimization methods to solve problems in logistics and supply chain management, transportation, network design, and healthcare. He participated in this research project while he was a Ph.D. student in the School of Industrial and Systems Engineering at Georgia Institute of Technology. Rafael Epstein (“ Optimizing Long-Term Production Plans in Underground and Open-Pit Copper Mines ”) is an associate professor at the Industrial Engineering Department of the University of Chile. His research interests include applications of operations research in the areas of forestry, mining, logistics, and combinatorial auctions. He is a former winner of the INFORMS Edelman Award for Achievement in Operations Research and the Management Sciences for work with the forest industries and the IFORS OR for Development Prize for the improvement of the auction of school meals in Chile. Peter I. Frazier (“ The Knowledge Gradient Algorithm for a General Class of Online Learning Problems ”) is an assistant professor in the School of Operations Research and Information Engineering at Cornell University. He received a Ph.D. in operations research and financial engineering from Princeton University in 2009. In 2010 he received the AFOSR Young Investigator Award. His research interest is in the optimal acquisition of information with applications in simulation, medicine, and operations management. Kevin C. Furman (“ A Branch-Price-and-Cut Algorithm for Single-Product Maritime Inventory Routing ”) has led programs and teams related to optimization and logistics research and software application development across multiple ExxonMobil affiliates. He received his Ph.D. in chemical engineering from the University of Illinois at Urbana–Champaign. His nine years at ExxonMobil have been focused on research, development, and leadership in the areas of operations research and process systems engineering. Sergio Gaete (“ Optimizing Long-Term Production Plans in Underground and Open-Pit Copper Mines ”) has a degree in mathematical engineering from the University of Chile. He is director of business plan development at El Teniente, Codelco. Kay Giesecke (“ Sequential Importance Sampling and Resampling for Dynamic Portfolio Credit Risk ”) is assistant professor of management science and engineering at Stanford University. His research interests include stochastic simulation, stochastic modeling, approximation algorithms, stochastic processes, inference and hypothesis testing for stochastic processes and applications in financial engineering, including derivatives pricing and hedging, and risk management. Peter W. Glynn (“ Consistency of Multidimensional Convex Regression ”) is the Thomas Ford Professor of Engineering in the Department of Management Science and Engineering at Stanford University, and also holds a courtesy appointment in the Department of Electrical Engineering. He was Director of Stanford's Institute for Computational and Mathematical Engineering from 2006 until 2010. He is a Fellow of INFORMS, a Fellow of the Institute of Mathematical Statistics, has been cowinner of Best Publication Awards from the INFORMS Simulation Society in 1993 and 2008, was a cowinner of the Best (Biannual) Publication Award from the INFORMS Applied Probability Society in 2009, and was the cowinner of the John von Neumann Theory Prize from INFORMS in 2010. His research interests lie in computational probability, queuing theory, statistical inference for stochastic processes, and stochastic modeling. Marcel Goic (“ Optimizing Long-Term Production Plans in Underground and Open-Pit Copper Mines ”) is an assistant professor at the Industrial Engineering Department of the University of Chile. He received a Ph.D. in industrial administration from the Tepper School of Business, Carnegie Mellon University. His research interests include database marketing, decision support systems, and retail management, with a focus on pricing, assortment, and promotion decisions. Boaz Golany (“ Network Optimization Models for Resource Allocation in Developing Military Countermeasures ”) is the Dean of the Faculty of Industrial Engineering and Management (IE & M) and the holder of the Samuel Gorney Chair in Engineering at the Technion–Israel Institute of Technology. He has a B.Sc. (summa cum laude) in IE & M from the Technion (1982) and a Ph.D. from the McCombs School of Business at the University of Texas at Austin (1985). He has served as an area editor and member of the editorial board for the Journal of Productivity Analysis, IIE Transactions, Omega, and Operations Research. He has published over 80 papers in refereed journals and over 15 book chapters. His publications are in the areas of industrial engineering, operations research, and management science. He has served as a consultant to various companies and agencies in Israel and the U.S. including governmental agencies (in the areas of transportation, education and defense); energy companies (oil, electricity); financial sector (banks); manufacturing (plastics, consumer goods, measurement devices); services (food chains); and information technologies (Internet platforms). Anupam Gupta (“ Approximation Algorithms for VRP with Stochastic Demands ”) is an associate professor in the Computer Science Department at Carnegie Mellon University. He received the B.Tech degree in computer science from Indian Institute of Technology, Kanpur, in 1996, and his Ph.D. in computer science from the University of California, Berkeley, in 2000. He spent two years at Lucent Bell Labs in Murray Hill, New Jersey, before joining Carnegie Mellon University in 2003. His research interests are in the area of theoretical computer science, primarily in developing approximation algorithms for NP-hard optimization problems and understanding the algorithmic properties of metric spaces. He is the recipient of an Alfred P. Sloan Research Fellowship and the NSF CAREER award. Simai He (“ Polymatroid Optimization, Submodularity, and Joint Replenishment Games ”) is an assistant professor at the Department of Management Sciences, City University of Hong Kong. His research interests include optimization, algorithm design and analysis, and game theory. Yuval Heller (“ Sequential Correlated Equilibria in Stopping Games ”) is a Ph.D. candidate in the Department of Statistics and Operations Research at Tel Aviv University. His research interests are in the areas of game theory, microeconomic theory, and decision theory. Steven Kou (“ Pricing Asian Options Under a Hyper-Exponential Jump Diffusion Model ”) is a professor in the Department of Industrial Engineering and Operations Research at Columbia University. Prior to joining Columbia in 1998, he taught at Rutgers University and the University of Michigan. His research interests include financial engineering and applied probability. He was awarded the Erlang Prize by the Applied Probability Society of INFORMS in 2002. Moshe Kress (“ Network Optimization Models for Resource Allocation in Developing Military Countermeasures ”) is professor of operations research at the Naval Postgraduate School (NPS), where he teaches and conducts research in combat modeling and related areas. His current research interests are counterinsurgency modeling, sensor deployment and operations, homeland security problems, and UAV employment in IW situations. His research has been sponsored by DARPA, ONR, USSOCOM, JIEDDO, and TRADOC. He is the Military and Homeland Security Editor of the OR flagship journal Operations Research. He published four books (one of which has been translated into Hebrew and Korean) and over 65 papers in refereed journals. He has been awarded twice the Koopman Prize for military operations research (2005 and 2009) and the 2009 MOR Journal Award. Prior to joining NPS, he was a senior analyst at the Center for Military Analyses in Israel and an adjunct professor at the Technion–Israel Institute of Technology. Tze Leung Lai (“ Sequential Importance Sampling and Resampling for Dynamic Portfolio Credit Risk ”) is professor of statistics at Stanford University. His present research areas include sequential experimentation, adaptive design and control, stochastic optimization, time series analysis and forecasting, change-point detection, hidden Markov models and particle filters, empirical Bayes modeling, multivariate survival analysis, probability theory and stochastic processes, biostatistics, econometrics, quantitative finance, and risk management. His methodological research in these areas has been motivated by and is closely related to his applied interests in engineering, finance, and the biomedical sciences. As director of the Financial Mathematics Program and codirector of the Biostatistics Core at the Stanford Cancer Center, he is involved in several research projects in these fields. Eunji Lim (“ Consistency of Multidimensional Convex Regression ”) is an assistant professor in the Department of Industrial Engineering at the University of Miami. Her research interests include function estimation under shape restrictions, simulation optimization, and stochastic modeling. Johan Marklund (“ Lower Bounds and Heuristics for Supply Chain Stock Allocation ”) is professor of production management at Lund University, Sweden. Previously he held positions at the Leeds School of Business, University of Colorado, Boulder, and the Boston Consulting Group. He holds degrees from Linköping University (M.Sc.) and Lund University (B.Sc. and Ph.D.). His research interests include inventory theory, supply chain management, and logistics, with a special focus on stochastic multiechelon inventory problems. Viswanath Nagarajan (“ Approximation Algorithms for VRP with Stochastic Demands ”) is a research staff member in mathematical sciences at the IBM T. J. Watson Research Center. He received a bachelor's degree in computer science from Indian Institute of Technology, Bombay, and a Ph.D. in algorithms, combinatorics, and optimization from Carnegie Mellon University. His research interests are in combinatorial optimization and approximation algorithms, particularly as applied to vehicle routing, network design, and scheduling. Karthik Natarajan (“ On the Complexity of Nonoverlapping Multivariate Marginal Bounds for Probabilistic Combinatorial Optimization Problems ”) is an associate professor at the Department of Management Sciences, City University of Hong Kong. His primary research interest is in optimization under uncertainty, and this paper forms part of this area of work. George L. Nemhauser (“ A Branch-Price-and-Cut Algorithm for Single-Product Maritime Inventory Routing ”) is an Institute Professor and the Chandler Professor in the School of Industrial and Systems Engineering at Georgia Institute of Technology. His research interests are in integer programming and its applications. His participation in this paper resulted from a research project funded by a large oil company. Yurii Nesterov (“ Design and Operations of Gas Transmission Networks ”) is professor at the Center for Operations Research and Econometrics (CORE), Catholic University of Louvain, Belgium. He is the author of four monographs and more than 70 refereed papers in the leading optimization journals. He is the winner of the triennial Dantzig Prize 2000 awarded by SIAM and the Mathematical Programming Society for research having a major impact on the field of mathematical programming. In 2009 he was awarded the John von Neumann Theory Prize by INFORMS. The main direction of his research is the development of efficient numerical methods for convex and nonconvex optimization problems supported by global complexity analysis. The most important results are obtained for general interior-point methods (theory of self-concordant functions), fast gradient methods (smoothing technique), and global complexity analysis of the second-order schemes (cubic regularization of the Newton's method). Michal Penn (“ Network Optimization Models for Resource Allocation in Developing Military Countermeasures ”) is a professor in the Faculty of Industrial Engineering and Management (IE & M) at the Technion–Israel Institute of Technology. She has a B.A. in mathematics and statistics from the Hebrew University of Jerusalem (1975), and M.Sc. (1982) and Ph.D. (1988) in operations research from IE & M at the Technion. Her interests are in discrete and combinatorial optimization, mainly in scheduling, routing, and algorithmic game theory. Her research was supported by the Israel Ministry of Science, Gordon Center, GIF, TASP, and others. She also serves as the president of the Operations Research Society of Israel (ORSIS). She has published over 40 papers in refereed journals and supervised 25 students towards master’s and doctoral degrees. Warren B. Powell (“ The Knowledge Gradient Algorithm for a General Class of Online Learning Problems ”) is a professor in the Department of Operations Research and Financial Engineering at Princeton University and director of CASTLE Laboratory. He has coauthored over 150 refereed publications in stochastic optimization, stochastic resource allocation, and related applications. He is the author of the book Approximate Dynamic Programming: Solving the Curses of Dimensionality, published by John Wiley & Sons. He is involved in applications in energy, transportation, finance, and homeland security. R. Ravi (“ Approximation Algorithms for VRP with Stochastic Demand ”) is Carnegie Bosch Professor of Operations Research and Computer Science at Carnegie Mellon University. He earned his bachelor's degree from the Indian Institute of Management, Madras, and master's and doctoral degrees from Brown University, all in computer science. He has been at the Tepper School of Business since 1995 where he served as Associate Dean for Intellectual Strategy from 2005–2008. His main research interests are in combinatorial optimization (particularly in approximation algorithms), computational molecular biology, and electronic commerce. He serves on the editorial boards of Management Science and the ACM Transactions on Algorithms. Kaj Rosling (“ Lower Bounds and Heuristics for Supply Chain Stock Allocation ”) is professor of production economics at Linnæus University, Sweden. He holds M.Sc. and Ph.D. degrees from University of California, Berkeley, and Linköping University, Sweden, respectively. His major publications appear in Management Science and Operations Research. He has served as associate editor for Management Science and Manufacturing & Service Operations Management, and he serves presently for Operations Research and Naval Research Logistics. Supply chain management is his primary research interest. Uriel G. Rothblum (“ Network Optimization Models for Resource Allocation in Developing Military Countermeasures ”) is a professor of operations research at the Faculty of Industrial Engineering and Management of the Technion in Haifa, Israel, holding the Alexander Goldberg Chair in Management Science. He earned his bachelor’s and master’s degrees in mathematics at Tel Aviv University (in 1969 and 1971, respectively) and his Ph.D. in the Department of Operations Research at Stanford University (in 1974). His research interests focus on the identification of properties of optimal solutions/policies in a variety of (structured) optimization problems and the insight such result offers in the design of algorithms that solve these problems. He has published over 150 papers in refereed journals and over 20 publications in edited volumes. He joined the Technion in 1984 and served as Dean of the Faculty of Industrial Engineering and Management (1992–1995), Deputy Provost (1998–2000), and Vice President for Academic Affairs (2000–2002). He served as the president of the Operations Research Society of Israel (2006–2008) and was elected an INFORMS Fellow in 2003 (in the first elected cohort). He has served on the editorial boards of Linear Algebra and Its Applications (1982–present), Mathematics of Operations Research (1979–2008), Operations Research (1996–1999), SIAM Journal on Matrix Analysis and Applications (1988–1993), SIAM Journal on Algebraic and Discrete Mathematics (1983–1987), and Letters in Linear Algebra and Its Applications (1980–1981). Since 2009, he has been editor in chief of Mathematics of Operations Research. Ilya O. Ryzhov (“ The Knowledge Gradient Algorithm for a General Class of Online Learning Problems ”) is an assistant professor in the Robert H. Smith School of Business at the University of Maryland. He received a Ph.D. in operations research and financial engineering from Princeton University in 2011. His research seeks to bridge the gap between optimal learning and stochastic optimization by developing efficient decision-making strategies for many broad classes of optimization problems, and incorporating optimal learning concepts into fundamental operations research models such as network problems, linear programs, and Markov decision processes. Amin Saberi (“ Price of Correlations in Stochastic Optimization ”) is an assistant professor at Stanford University. He received his B.Sc. in computer science from Sharif Institute of Technology in 2000 and his Ph.D. in computer science from Georgia Institute of Technology in 2004. His research interests include algorithms, and algorithmic aspects of games, markets, and information networks. Pablo Santibáñez (“ Optimizing Long-Term Production Plans in Underground and Open-Pit Copper Mines ”) is an operations research scientist at the British Columbia Cancer Agency. His work is focused on applications in operations and strategic planning, especially in healthcare. He received his B.S. and industrial engineering degrees from the University of Chile, and his master’s in operations research from the University of British Columbia. The paper in this issue is part of the author's work in the mining sector. Martin W. P. Savelsbergh (“ A Branch-Price-and-Cut Algorithm for Single-Product Maritime Inventory Routing ”) leads the business and services analytics research program at CSIRO Mathematics Informatics and Statistics. His research interests are in discrete optimization and transportation and logistics. He participated in this research project while he was Schneider Professor in the School of Industrial and Systems Engineering at Georgia Institute of Technology before moving to Australia in 2010. Jin-Hwa Song (“ A Branch-Price-and-Cut Algorithm for Single-Product Maritime Inventory Routing ”) received his Ph.D. from the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Institute of Technology. At ExxonMobil, he has worked on various projects related to optimization and decision science, as well as science-build research programs with several universities. John Turner (“ The Planning of Guaranteed Targeted Display Advertising ”) is an assistant professor of operations and decision technologies at the Paul Merage School of Business, University of California at Irvine. His research interests include advertising planning, media management, applied optimization, revenue management, and problems that lie at the interface of operations and marketing. Rodolfo Urrutia (“ Optimizing Long-Term Production Plans in Underground and Open-Pit Copper Mines ”) is an industrial engineer from the University of Chile with a master’s in management and globalization from the same university. As part of his graduate degree, he spent six months at the University of South Wales in Australia. He is a full-time researcher working on operations research models applied to mining problems. Jean-Philippe Vial (“ Design and Operations of Gas Transmission Networks ”) is Emeritus Professor in Operations Research. He has been professor at the Catholic University of Louvain (Belgium), the University Louis Pasteur in Strasbourg (France), and the University of Geneva (Switzerland). He has contributed in optimization methods, logistics, and environmental assessments modeling. He holds a Ph.D. in operations research (Louvain) and a Doctorat d'Etat in Mathematics (Paris). Tianyang Wang (“ A Copulas-Based Approach to Modeling Dependence in Decision Trees ”) is an assistant professor in the Department of Finance and Real Estate at Colorado State University. He earned his Ph.D. from the University of Texas at Austin and is an Associate of the Society of Actuaries. His research is primarily in real options valuation, modeling multivariate uncertainties, enterprise risk management, and quantitative methods in financial risk management. He was finalist in the Decision Analysis Society student paper competition in 2009 and 2010. He has received research funds from the Center for Petroleum Asset Risk Management at the University of Texas at Austin. Andrés Weintraub (“ Optimizing Long-Term Production Plans in Underground and Open-Pit Copper Mines ”) is a professor in the Industrial Engineering Department of the University of Chile. His research interests include operations research in the areas of forestry and mining, logistics, and applied combinatorics. He is a former winner of the INFORMS Edelman Award for Achievement in Operations Research and the Management Sciences for work with forest industries. He served as INFORMS vice president for education and outreach. Heng-Qing Ye (“ Asymptotic Optimality of Balanced Routing ”) is an associate professor in the Department of Logistics and Maritime Studies at the Faculty of Business, the Hong Kong Polytechnic University. His research interests include the modeling and analysis of stochastic network and maritime studies. Yinyu Ye (“ Price of Correlations in Stochastic Optimization ”) is professor of management science and engineering, Stanford University. He holds a Ph.D. in engineering economic systems and operations research from Stanford University. He is the recipient or corecipient of numerous international and national awards, including the 2009 INFORMS John von Neumann Theory Prize for fundamental sustained contributions to theory in operations research and the management sciences. Jiawei Zhang (“ Polymatroid Optimization, Submodularity, and Joint Replenishment Games ”) is an associate professor of operations management at the Stern School of Business, New York University. His research interests include approximation algorithms, deterministic and stochastic optimization, logistics and supply chain management, and production planning and scheduling. Shuzhong Zhang (“ Polymatroid Optimization, Submodularity, and Joint Replenishment Games ”) is a professor in the Industrial and Systems Engineering Program, University of Minnesota. He is on leave from the Department of Systems Engineering & Engineering Management, Chinese University of Hong Kong. His research interests include optimization techniques, approximation algorithms, and risk analysis.

Abstract: Roberto Baldacci (“ An Exact Algorithm for the Pickup and Delivery Problem with Time Windows ”) is a researcher in operations research at the Department of Electronics, Computer Science, and Systems (DEIS) of the University of Bologna, Italy. His major research interests are in the areas of transportation planning, logistics and distribution, and the solution of vehicle routing and scheduling problems over street networks. His research activities are in the theory and applications of mathematical programming including the design of new heuristic and exact methods for solving routing and location problems. Enrico Bartolini (“ An Exact Algorithm for the Pickup and Delivery Problem with Time Windows ”) holds a postdoctoral position at the University of Bologna. His research activity concerns the study and development of heuristic and exact algorithms for solving combinatorial optimization problems with applications in logistics and distribution systems, in particular network design problems and some generalizations of the vehicle routing problem. Saif Benjaafar (“ Optimal Control of an Assembly System with Multiple Stages and Multiple Demand Classes ”) is professor of industrial and systems engineering at the University of Minnesota, where he is also founding and current director of the Industrial & Systems Engineering Program, director of the Center for Supply Chain Research, and a faculty scholar with the Center for Transportation Studies. He was a Distinguished Senior Visiting Scientist at Honeywell Laboratories and a visiting professor at universities in France, Belgium, Hong Kong, China, and Singapore. His research is in the areas of supply chain management, service and manufacturing operations, and production and inventory systems, with a current focus on sustainability and environmental modeling. He serves on the editorial board of several journals including Manufacturing & Service Operations Management, Production and Operations Management, Naval Research Logistics, and IIE Transactions. He is a Fellow of the Institute of Industrial Engineers (IIE). Dimitris Bertsimas (“ Performance Analysis of Queueing Networks via Robust Optimization ”) is the Boeing Professor of Operations Research and codirector of the Operations Research Center at the Massachusetts Institute of Technology. This research is part of his work in the last decade on robust optimization for optimization and performance analysis of stochastic systems. Atul Bhandari (“ Revenue Management with Bargaining ”) is manager of the Algorithms Team at SmartOps. He supervises the design and development of enterprise inventory optimization algorithms, supervises modeling and analysis support for sales and implementation efforts, and leads educational sessions. He earned a Ph.D. in operations research from the Carnegie Mellon University Tepper School of Business. Sushil Bikhchandani (“ An Ascending Vickrey Auction for Selling Bases of a Matroid ”) is professor of decisions, operations, and technology management at the Anderson School of Management at the University of California, Los Angeles. He is interested in the economics of incentives and its application to auctions, market institutions, and social learning. J. Paul Brooks (“ Support Vector Machines with the Ramp Loss and the Hard Margin Loss ”) is an assistant professor of operations research in the Department of Statistical Sciences and Operations Research and a fellow of the Center for Study of Biological Complexity, Virginia Commonwealth University. He is currently secretary/treasurer of the INFORMS Section on Data Mining. His research interests include the design of optimization-based algorithms for data mining and their application to biomedical data. He is also interested in applications of optimization to models of cellular metabolism and network design problems. Sungyong Choi (“ A Multiproduct Risk-Averse Newsvendor with Law-Invariant Coherent Measures of Risk ”) is an instructor in the Department of Management Science and Information Systems at Rutgers University. Dr. Choi's research interests are in the area of stochastic modeling and its application in supply chain management. Milind Dawande (“ Production Planning with Patterns: A Problem from Processed Food Manufacturing ” and “ Quantifying the Impact of Layout on Productivity: An Analysis from Robotic-Cell Manufacturing ”) is professor and area coordinator of operations management at the School of Management, University of Texas at Dallas. His research interests are in discrete optimization problems in manufacturing and operations. His papers have appeared in a number of research outlets, including Operations Research, Management Science, Manufacturing & Service Operations Management, and the INFORMS Journal on Computing. Mehmet Demirci (“ Production Planning with Patterns: A Problem from Processed Food Manufacturing ”) is a supply chain sales engineer at SmartOps. He holds a Ph.D. degree in industrial engineering from the University of Pittsburgh. His research interests include inventory optimization, operations management, large-scale combinatorial optimization, and operations research applications in health care. Sven de Vries (“ An Ascending Vickrey Auction for Selling Bases of a Matroid ”) is a professor of operations research in the Department of Mathematics at the Universität Trier. His research interests include combinatorial optimization and auctions. Xiaowei Ding (“ A Top-Down Approach to Multiname Credit ”) is an associate at Morgan Stanley's Commodity Trading Group. Mohsen ElHafsi (“ Optimal Control of an Assembly System with Multiple Stages and Multiple Demand Classes ”) is a professor at the Anderson Graduate School of Management at the University of California, Riverside, where he also serves as associate dean and graduate advisor. He holds Ph.D. and M.Sc. degrees from the Industrial and Systems Engineering Department at the University of Florida and was the Honor Graduate. He received the Qualified Engineer degree, with honors, from the Ecole Nationale d'Ingénieurs de Tunis, Tunisia. His area of research includes operations and supply chain management, manufacturing and service operations, and production and inventory systems. Amr Farahat (“ A Comparison of Bertrand and Cournot Profits in Oligopolies with Differentiated Products ”) is an assistant professor at the Johnson Graduate School of Management at Cornell University. He obtained his doctoral degree in operations research from the Massachusetts Institute of Technology. His current research focuses on differentiated product pricing, inventory management, and competition. He is interested in problems at the interface of operations management, economics, and marketing. Vivek F. Farias (“ The Irrevocable Multiarmed Bandit Problem ”) is the Robert N. Noyce Career Development Assistant Professor of Management at the Sloan School of Management and the Operations Research Center at the Massachusetts Institute of Technology. His research focuses on revenue management, dynamic optimization, and the analysis of complex stochastic systems. The paper in this issue is part of the author's research in the context of dynamic optimization. David Gamarnik (“ Performance Analysis of Queueing Networks via Robust Optimization ”) is an associate professor of operations research at the Sloan School of Management of the Massachusetts Institute of Technology. His research interests include applied probability and stochastic processes, theory of random combinatorial structures and algorithms, and various applications. He currently serves as an associate editor of Annals of Applied Probability, Operations Research, Mathematics of Operations Research, and queueing systems journals. Srinagesh Gavirneni (“ Production Planning with Patterns: A Problem from Processed Food Manufacturing ”) is an assistant professor of operations management in the Johnson Graduate School of Management at Cornell University. His research interests are in the areas of supply chain management, inventory control, production scheduling, simulation, and optimization. His papers have appeared in Management Science, Manufacturing & Service Operations Management, Operations Research, European Journal of Operational Research, Operations Research Letters, IIE Transactions, and Interfaces. Previously he was an assistant professor in the Kelley School of Business at Indiana University, the chief algorithm design engineer of SmartOps, a software architect at Maxager Technology Inc., and a research scientist with Schlumberger. His undergraduate degree from IIT-Madras is in mechanical engineering, and he received an M.Sc. from Iowa State University and a Ph.D. from Carnegie Mellon University. Kay Giesecke (“ A Top-Down Approach to Multiname Credit ”) is assistant professor of management science and engineering at Stanford University. His research and teaching interests are in financial engineering. Lisa R. Goldberg (“ A Top-Down Approach to Multiname Credit ”) is executive director of analytic initiatives at MSCI Barra with responsibility for developing and prototyping financial risk and valuation models. Randolph W. Hall (“ Discounted Robust Stochastic Games and an Application to Queueing Control ”) is vice president of research, and professor of industrial and systems engineering, at the University of Southern California. After receiving a Ph.D. in civil engineering from the University of California, Berkeley, he has held research and faculty positions at General Motors, the University of California, Berkeley, and the University of Southern California, including directing the METRANS and CREATE research centers. He is the author of Queueing Methods for Services and Manufacturing, editor for the Handbook of Transportation Science and Patient Flow: Reducing Delay in Healthcare Delivery, and is preparing a book on scheduling in health care. Erim Kardeş (“ Discounted Robust Stochastic Games and an Application to Queueing Control ”) received his Ph.D. in industrial and systems engineering from the University of Southern California in 2007. His research interests are in the areas of probability models with optimization applications, Markov decision processes, stochastic games, robust optimization, and their applications in optimization in queues, production/inventory control, and in security domains. He has recently been interested in health-care applications. Sunkyo Kim (“ Modeling Cross Correlation in Three-Moment Four-Parameter Decomposition Approximation of Queueing Networks ”) is an associate professor in the School of Business at Ajou University, Suwon, Republic of Korea. His research focuses on the decomposition approximation of queueing networks. He received a B.A. in business and an M.B.A. from Seoul National University, an M.S. in applied mathematics from the University of Illinois at Urbana–Champaign, an M.S. in industrial engineering from the University of California, Berkeley, and a Ph.D. in industrial engineering from Purdue University. Ayşe Kocabıyıkoğlu (“ An Elasticity Approach to the Newsvendor with Price Sensitive Demand ”) is an assistant professor in the Department of Management at Bilkent University. She received her Ph.D. in decision sciences from INSEAD in 2005. Her research interests include pricing and revenue management, dynamic decision making under uncertainty, and behavioral operations management. Chung-Yee Lee (“ Optimal Control of an Assembly System with Multiple Stages and Multiple Demand Classes ”) is Chair Professor of the Industrial Engineering and Logistics Management Department at the Hong Kong University of Science and Technology (HKUST). He served as department head at HKUST for seven years. He is also the founding and current director of the Logistics and Supply Chain Management Institute at HKUST. He is a Fellow of the Institute of Industrial Engineers in the United States and also a Fellow of the Hong Kong Academy of Engineering Science. Before joining HKUST in 2001, he was Rockwell Chair Professor in the Department of Industrial Engineering at Texas A & M University. His research areas are in logistics and supply chain management, scheduling, and inventory management. Ritesh Madan (“ The Irrevocable Multiarmed Bandit Problem ”) is staff engineer at the Qualcomm New Jersey Research Center (NJRC), Bridgewater, New Jersey. His current work is on emerging 4G cellular networks and includes contributions to standards and design of algorithms and architectures for products. His research interests include fast and distributed algorithms for resource allocation in cellular networks. Mili Mehrotra (“ Production Planning with Patterns: A Problem from Processed Food Manufacturing ”) is a doctoral student in operations management at the School of Management, University of Texas at Dallas. Her research interests are in supply chain management. In particular, her work focuses on applying discrete optimization techniques to problems in both manufacturing and service operations management. Her papers have been accepted for publication in Management Science, Operations Research, and Production and Operations Management. Aristide Mingozzi (“ An Exact Algorithm for the Pickup and Delivery Problem with Time Windows ”) is a professor of operations research in the Department of Mathematics at the University of Bologna, Italy. His main interests include mathematical programming, combinatorial optimization, graph theory, dynamic programming, and the development of exact and heuristic algorithms for the solution of real-life problems in distribution and scheduling. W. Ross Morrow (“ Fixed-Point Approaches to Computing Bertrand-Nash Equilibrium Prices Under Mixed-Logit Demand ”) is an assistant professor in mechanical engineering and economics at Iowa State University. He received his Ph.D. in mechanical engineering from the University of Michigan, Ann Arbor, in 2008. During 2008–2009 he was a research fellow at the Belfer Center for Science and International Affairs at Harvard's Kennedy School. His research focuses on mathematical models and numerical methods for large-scale, complex energy and environmental policy models. Fernando Ordóñez (“ Discounted Robust Stochastic Games and an Application to Queueing Control ”) is an associate professor in the Industrial and Systems Engineering Department at the University of Southern California, currently on leave at the Industrial Engineering Department of the University of Chile. His research focuses on convex and robust optimization, complexity of algorithms, sensitivity analysis, and applications of optimization to engineering and management science. He received his B.S. and mathematical engineering degrees from the University of Chile in 1996 and 1997, respectively, and his Ph.D. in operations research from the Massachusetts Institute of Technology in 2002. Melda Ormeci Matoglu (“ Drift Control with Changeover Costs ”) earned her Ph.D. in industrial engineering at Georgia Institute of Technology in 2006. Her thesis, “Inventory Control in a Build-to-Order Environment,” was awarded second place at the George B. Dantzig Dissertation Award. Her research interests span both fields of optimization and stochastic control, with applications mainly within the areas of supply chain management and logistics. Her work covers theoretical problems dealing with optimal stochastic control of Brownian motion along with practical applications of these problems with companies like BMW. Georgia Perakis (“ A Comparison of Bertrand and Cournot Profits in Oligopolies with Differentiated Products ”) is the William F. Pounds Professor at the Sloan School of Management at the Massachusetts Institute of Technology. She joined the faculty at Sloan in 1998. She received an M.S. degree and a Ph.D. in applied mathematics from Brown University. Her research interests include applications of optimization and equilibrium in revenue management, pricing, competitive supply chain management, and transportation. She has published widely in journals such as Operations Research, Management Science, Mathematics of Operations Research, and Mathematical Programming. Ioana Popescu (“ An Elasticity Approach to the Newsvendor with Price Sensitive Demand ”) is the Booz & Company Professor in Revenue Management and associate professor of decision sciences at INSEAD. Her main research and teaching interests are in the area of pricing and revenue management. Tharanga Rajapakshe (“ Quantifying the Impact of Layout on Productivity: An Analysis from Robotic-Cell Manufacturing ”) is a doctoral student in operations management at the School of Management, University of Texas at Dallas. Her research interests are in supply chain management, green supply chains, and logistics. She is a member of INFORMS, POMS, and DSI. Her papers have been accepted for publication in Operations Research and Production and Operations Management. Alexander Anatoliy Rikun (“ Performance Analysis of Queueing Networks via Robust Optimization ”) is a Ph.D. candidate in the Operations Research Center at the Massachusetts Institute of Technology. He earned his B.S. in applied mathematics from Columbia University in 2005. His research interests are in robust optimization, queueing theory, and supply chain management. The paper in this issue is part of his Ph.D. thesis under the supervision of Dimitris Bertsimas and David Gamarnik at the Massachusetts Institute of Technology. Robin O. Roundy (“ Multidimensional Approximation Algorithms for Capacity-Expansion Problems ”) graduated magna cum laude from Brigham Young University. He received the Orson Pratt Award, which is given annually to the outstanding mathematics graduate. He then studied operations research at Stanford University, where he received his doctorate in 1984. In that same year, he won the Nicholson Student Paper Competition, sponsored by the Operations Research Society of America (ORSA). In 1985, he received a Presidential Young Investigator Award from the National Science Foundation. In 1988 he received the Fredrick W. Lanchester Prize from ORSA for the best paper of the year on operations research. He is the author of one of Management Science's 50 Most Influential Papers (2004). He is a two-time recipient of the S. Yau '72 Excellence in Teaching Award and has won other teaching awards as well. Andrzej Ruszczyński (“ A Multiproduct Risk-Averse Newsvendor with Law-Invariant Coherent Measures of Risk ”) is a professor in the Department of Management Science and Information Systems at Rutgers University. His interests are in the area of stochastic programming, where he initiated research on risk-averse optimization. He is an author of several books and numerous articles in the field of optimization. James Schummer (“ An Ascending Vickrey Auction for Selling Bases of a Matroid ”) is associate professor of managerial economics and decision sciences at the Kellogg School of Management, Northwestern University. His interests include dominant strategy mechanism design, voting, signaling, and auctions. Nicola Secomandi (“ Revenue Management with Bargaining ”) is an associate professor of operations management at the Carnegie Mellon University Tepper School of Business. His research interests include real options in the energy and commodity industries, the interface between operations and finance, revenue and supply chain management, and logistics under uncertainty. Steven J. Skerlos (“ Fixed-Point Approaches to Computing Bertrand-Nash Equilibrium Prices Under Mixed-Logit Demand ”) is an associate professor of mechanical engineering at the University of Michigan, Ann Arbor. He attended the University of Illinois at Urbana–Champaign, where he received a B.S. in electrical engineering (with highest honors) in 1994 and a Ph.D. in industrial engineering in 2000. His research interests are environmental technology policy, the design of “green” products and manufacturing systems, and the development of sustainable water systems. Chelliah Sriskandarajah (“ Quantifying the Impact of Layout on Productivity: An Analysis from Robotic-Cell Manufacturing ”) is a professor of operations management and holds the Ashbel Smith Chair at the School of Management of the University of Texas at Dallas. His research revolves around solving various production planning and scheduling problems with the aim of making the production process more economical and efficient. His research interests lie in the general area of production planning and scheduling, supply chain management, and performance evaluation of production systems. Sridhar Tayur (“ Production Planning with Patterns: A Problem from Processed Food Manufacturing ”) is the Ford Distinguished Research Professor of Manufacturing and Operations Management at the Tepper School of Business at Carnegie Mellon University, as well as the founder and CEO of SmartOps Corporation. The article in this issue is part of his research and practice agendas in creating scalable enterprise analytic software using appropriate operations research to be part of the IT infrastructure for ongoing use at Global 2000 companies to improve their supply chain capabilities and performance. Van-Anh Truong (“ Multidimensional Approximation Algorithms for Capacity-Expansion Problems ”) is a quantitative researcher at Google, Mountain View, California. She obtained her doctoral degree in operations research from Cornell University. She works in the area of stochastic capacity planning and inventory theory and has published in Operations Research and Mathematical Programming. John Vande Vate (“ Drift Control with Changeover Costs ”) is the founder and executive director of Georgia Institute of Technology's Executive Master's in International Logistics and Supply Chain Strategy (EMIL-SCS) program. He has spent the last few years focused on finding practical ways to extend the power of optimization techniques to address challenges of managing variability and risk in supply chain management and logistics. Rakesh V. Vohra (“ An Ascending Vickrey Auction for Selling Bases of a Matroid ”) is the John L. and Helen Kellogg Professor of Managerial Economics and Decision Sciences, at the Kellogg School of Management, Northwestern University. His interests include auction theory, pricing, and game theory. Yikun Yu (“ Optimal Product Acquisition, Pricing, and Inventory Management for Systems with Remanufacturing ”) received his B.S. in mathematical science from Tsinghua University, China, in 2006 and his M.Phil. in systems engineering and engineering management from the Chinese University of Hong Kong in 2008. He is serving as senior associate in the Department of Investment Banking, CITIC Securities Company Limited and has been involved in several IPO projects since he joined the company. Yao Zhao (“ A Multiproduct Risk-Averse Newsvendor with Law-Invariant Coherent Measures of Risk ”) is an associate professor in the Department of Supply Chain Management and Marketing Sciences at Rutgers University. This paper is part of a general research interest in risk management of multi-item and multistage inventory systems. Sean X. Zhou (“ Optimal Product Acquisition, Pricing, and Inventory Management for Systems with Remanufacturing ”) is an assistant professor in the Systems Engineering and Engineering Management Department at the Chinese University of Hong Kong. He received his B.S. in electrical engineering from Zhejiang University, China in 2001 and his master's and Ph.D. in operations research from North Carolina State University in 2002 and 2006, respectively. His main research area is supply chain management and specifically inventory theory, production planning, pricing, and game theoretic applications. Weihua Zhou (“ Optimal Control of an Assembly System with Multiple Stages and Multiple Demand Classes ”) is associate professor in the Department of Management Science and Engineering at Zhejiang University, China. He received his M.S. degree in applied mathematics from Zhejiang University, and his Ph.D. degree from the Department of Industrial Engineering and Logistic Management at Hong Kong University of Science and Technology, China. His research interests include supply chain and inventory management and port terminal optimization.