GLORIA

GEOMAR Library Ocean Research Information Access

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
  • 1
    Online Resource
    Online Resource
    Elsevier BV ; 2022
    In:  Research in International Business and Finance Vol. 62 ( 2022-12), p. 101731-
    In: Research in International Business and Finance, Elsevier BV, Vol. 62 ( 2022-12), p. 101731-
    Type of Medium: Online Resource
    ISSN: 0275-5319
    RVK:
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2022
    detail.hit.zdb_id: 2165501-7
    detail.hit.zdb_id: 424514-3
    SSG: 3,2
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 2
    Online Resource
    Online Resource
    Elsevier BV ; 2023
    In:  Research in International Business and Finance Vol. 66 ( 2023-10), p. 102074-
    In: Research in International Business and Finance, Elsevier BV, Vol. 66 ( 2023-10), p. 102074-
    Type of Medium: Online Resource
    ISSN: 0275-5319
    RVK:
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2023
    detail.hit.zdb_id: 2165501-7
    detail.hit.zdb_id: 424514-3
    SSG: 3,2
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 3
    Online Resource
    Online Resource
    Institute for Operations Research and the Management Sciences (INFORMS) ; 2014
    In:  Management Science Vol. 60, No. 1 ( 2014-01), p. 56-73
    In: Management Science, Institute for Operations Research and the Management Sciences (INFORMS), Vol. 60, No. 1 ( 2014-01), p. 56-73
    Abstract: Despite a 20-year trend toward integrated marketing communications, advertisers seldom coordinate television and search advertising campaigns. We find that television advertising for financial services brands increases both the number of related Google searches and searchers' tendency to use branded keywords in place of generic keywords. The elasticity of a brand's total searches with respect to its TV advertising is 0.17, an effect that peaks in the morning. These results suggest that practitioners should account for cross-media effects when planning, executing, and evaluating both television and search advertising campaigns. This paper was accepted by Pradeep Chintagunta, marketing.
    Type of Medium: Online Resource
    ISSN: 0025-1909 , 1526-5501
    RVK:
    Language: English
    Publisher: Institute for Operations Research and the Management Sciences (INFORMS)
    Publication Date: 2014
    detail.hit.zdb_id: 206345-1
    detail.hit.zdb_id: 2023019-9
    SSG: 3,2
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 4
    Online Resource
    Online Resource
    Informa UK Limited ; 2017
    In:  Journal of Simulation Vol. 11, No. 3 ( 2017-08), p. 194-207
    In: Journal of Simulation, Informa UK Limited, Vol. 11, No. 3 ( 2017-08), p. 194-207
    Type of Medium: Online Resource
    ISSN: 1747-7778 , 1747-7786
    RVK:
    Language: English
    Publisher: Informa UK Limited
    Publication Date: 2017
    detail.hit.zdb_id: 2266085-9
    SSG: 3,2
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 5
    Online Resource
    Online Resource
    Institute for Operations Research and the Management Sciences (INFORMS) ; 2021
    In:  INFORMS Journal on Computing Vol. 33, No. 3 ( 2021-07), p. 898-914
    In: INFORMS Journal on Computing, Institute for Operations Research and the Management Sciences (INFORMS), Vol. 33, No. 3 ( 2021-07), p. 898-914
    Abstract: Maintenance optimization has been extensively studied in the past decades. However, most of the existing maintenance models focus on single-component systems and are not applicable to complex systems consisting of multiple components, due to various interactions among the components. The multicomponent maintenance optimization problem, which joins the stochastic processes regarding the failures of components with the combinatorial problems regarding the grouping of maintenance activities, is challenging in both modeling and solution techniques, and has remained an open issue in the literature. In this paper, we study the multicomponent maintenance problem over a finite planning horizon and formulate the problem as a multistage stochastic integer program with decision-dependent uncertainty. There is a lack of general efficient methods to solve this type of problem. To address this challenge, we use an alternative approach to model the underlying failure process and develop a novel two-stage model without decision-dependent uncertainty. Structural properties of the two-stage problem are investigated, and a progressive-hedging-based heuristic is developed based on the structural properties. Our heuristic algorithm demonstrates a significantly improved capacity to handle large-size two-stage problems comparing to three conventional methods for stochastic integer programming, and solving the two-stage model by our heuristic in a rolling horizon provides a good approximation of the multistage problem. The heuristic is further benchmarked with a dynamic programming approach and a structural policy, which are two commonly adopted approaches in the literature. Numerical results show that our heuristic can lead to significant cost savings compared with the benchmark approaches.
    Type of Medium: Online Resource
    ISSN: 1091-9856 , 1526-5528
    RVK:
    Language: English
    Publisher: Institute for Operations Research and the Management Sciences (INFORMS)
    Publication Date: 2021
    detail.hit.zdb_id: 2070411-2
    detail.hit.zdb_id: 2004082-9
    SSG: 3,2
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 6
    Online Resource
    Online Resource
    Hindawi Limited ; 2021
    In:  Mobile Information Systems Vol. 2021 ( 2021-3-3), p. 1-18
    In: Mobile Information Systems, Hindawi Limited, Vol. 2021 ( 2021-3-3), p. 1-18
    Abstract: With the rapid growth of Android devices and applications, the Android environment faces more security threats. Malicious applications stealing usersʼ privacy information, sending text messages to trigger deductions, exploiting privilege escalation to control the system, etc., cause significant harm to end users. To detect Android malware, researchers have proposed various techniques, among which the machine learning-based methods with static features of apps as input vectors have apparent advantages in code coverage, operational efficiency, and massive sample detection. In this paper, we investigated Android applicationsʼ structure, analysed various sources of static features, reviewed the machine learning methods for detecting Android malware, studied the advantages and limitations of these methods, and discussed the future directions in this field. Our work will help researchers better understand the current research state, the benefits and weaknesses of each approach, and future technology directions.
    Type of Medium: Online Resource
    ISSN: 1875-905X , 1574-017X
    RVK:
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2021
    detail.hit.zdb_id: 2187808-0
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 7
    Online Resource
    Online Resource
    Wiley ; 2018
    In:  Production and Operations Management Vol. 27, No. 5 ( 2018-05), p. 859-883
    In: Production and Operations Management, Wiley, Vol. 27, No. 5 ( 2018-05), p. 859-883
    Abstract: In hospitals, Step Down Units (SDUs) provide an intermediate level of care between the Intensive Care Units (ICUs) and the general medical‐surgical wards. Because SDUs are less richly staffed than ICUs, they are less costly to operate; however, they also are unable to provide the level of care required by the sickest patients. There is an ongoing debate in the medical community as to whether and how SDUs should be used. On one hand, an SDU alleviates ICU congestion by providing a safe environment for post‐ICU patients before they are stable enough to be transferred to the general wards. On the other hand, an SDU can take capacity away from the already over‐congested ICU. In this work, we propose a queueing model of patient flow through the ICU and SDU in order to determine when an SDU is needed, what size it should be, and what are the main drivers influencing these decisions. Using first‐ and second‐order analysis, we examine the tradeoff between reserving capacity in the ICU for the most critical patients and gaining additional capacity achieved by allocating nurses to the SDU due to the lower staffing requirement. We find that under some circumstances the optimal size of the SDU is zero, while in other cases, having a sizable SDU may be beneficial. Moreover, we identify two parameters which play a prominent role in the SDU sizing decision: p , which captures the demand for SDU beds, and ν , which captures the supply gains by moving nurses to the SDU. The insights from our work provide rigorous justification for the variation in SDU use seen in practice as well as highlight which factors should be considered when making such sizing decisions for critical care.
    Type of Medium: Online Resource
    ISSN: 1059-1478 , 1937-5956
    URL: Issue
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2018
    detail.hit.zdb_id: 2151364-8
    detail.hit.zdb_id: 1108460-1
    SSG: 3,2
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...