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  • 1
    Online Resource
    Online Resource
    Wiley ; 2022
    In:  Production and Operations Management Vol. 31, No. 3 ( 2022-03), p. 1157-1173
    In: Production and Operations Management, Wiley, Vol. 31, No. 3 ( 2022-03), p. 1157-1173
    Abstract: We show that a two‐product newsvendor problem with partial demand substitution is equivalent to the classical newsvendor problem with the same economic parameters but an adjusted demand—the effective demand. By comparing the adjusted demand and the primary demand stochastically, we examine the impacts of demand substitution on the expected profit and optimal order quantities. We demonstrate that demand substitution reduces the newsvendor's demand variability in the sense of convex order. Furthermore, as the degree of substitution increases or the two products’ demands become less dependent in the sense of supermodular order, the newsvendor's effective demand becomes less uncertain, which implies a higher expected profit. Under rather general assumptions, we show that the distribution function for the newsvendor's effective demand satisfies the single‐crossing property as the degree of substitution changes. This allows us to rank the optimal order quantities for two different degrees of substitution. To further develop insights, we analyze the case where the demand dependence structure is modeled using copula. We show that the optimal profit is decreasing and convex in demand dependence. Furthermore, by exploring the interaction effect of demand dependence and the degree of substitution, we show that a firm can achieve positive synergy by simultaneously increasing the substitution degree and decreasing demand dependence.
    Type of Medium: Online Resource
    ISSN: 1059-1478 , 1937-5956
    URL: Issue
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2022
    detail.hit.zdb_id: 2151364-8
    detail.hit.zdb_id: 1108460-1
    SSG: 3,2
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  • 2
    Online Resource
    Online Resource
    Hindawi Limited ; 2016
    In:  Mobile Information Systems Vol. 2016 ( 2016), p. 1-6
    In: Mobile Information Systems, Hindawi Limited, Vol. 2016 ( 2016), p. 1-6
    Abstract: For the problem of mobile service selection, this paper gives a context-aware service selection algorithm based on Genetic Algorithm. In this algorithm, a tree encoding method, a fitness function, and a fitness-better strategy were proposed. The tree encoding mode made Genetic Algorithm support selection of various types of service combinations, for example, sequence composition, concurrence composition, probability composition, and loop composition. According to the encoding method, a fitness function was designed specially. The fitness-better strategy gives the direction of population evolution and avoids the degradation of population fitness. Some experiments analyses show that the provided service selection algorithm can get better service composition.
    Type of Medium: Online Resource
    ISSN: 1574-017X , 1875-905X
    RVK:
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2016
    detail.hit.zdb_id: 2187808-0
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  • 3
    Online Resource
    Online Resource
    Institute for Operations Research and the Management Sciences (INFORMS) ; 2023
    In:  Manufacturing & Service Operations Management
    In: Manufacturing & Service Operations Management, Institute for Operations Research and the Management Sciences (INFORMS)
    Abstract: Problem definition: Inventory commitment and monetary compensation are widely recognized as effective strategies in monopoly settings when customers are concerned about stockouts. To attract more customer traffic, a firm reveals its inventory availability information to customers before the sales season or offers monetary compensation to placate customers if the product is out of stock. This paper investigates these two strategies when retailers compete on both price and inventory availability. Methodology/results: We develop a game-theoretic framework to analyze the strategic interactions among the retailers and customers and draw the following insights. First, both inventory commitment and monetary compensation may lead to a prisoner’s dilemma. Although these strategies are preferred regardless of the competitor’s price and inventory decisions, the equilibrium profit of each retailer could be lower in the presence of inventory commitment or monetary compensation because they intensify the competition between the retailers. Second, we find that market competition may hurt social welfare compared with a centralized setting by reducing the product availability in equilibrium. The inventory commitment and monetary compensation strategies further intensify the competition between the retailers, therefore causing an even lower social welfare. Managerial implications: Our study shows that, although inventory commitment and monetary compensation improve retailers’ profit and social welfare under monopoly, these strategies should be used with caution under competition. Funding: F. Zhang is grateful for the financial support from the National Natural Science Foundation of China [Grants 71929201, 72131004]. R. Zhang is grateful for the financial support from the Hong Kong Research Grants Council General Research Fund [Grant 14502722] and the National Natural Science Foundation of China [Grant 72293560/72293565]. Y. Yu is grateful for the financial support from the National Natural Science Foundation of China [Grant 71921001] . Supplemental Material: The online appendix is available at https://doi.org/10.1287/msom.2021.0411 .
    Type of Medium: Online Resource
    ISSN: 1523-4614 , 1526-5498
    RVK:
    Language: English
    Publisher: Institute for Operations Research and the Management Sciences (INFORMS)
    Publication Date: 2023
    detail.hit.zdb_id: 2023273-1
    SSG: 3,2
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  • 4
    Online Resource
    Online Resource
    Hindawi Limited ; 2021
    In:  Mobile Information Systems Vol. 2021 ( 2021-5-3), p. 1-9
    In: Mobile Information Systems, Hindawi Limited, Vol. 2021 ( 2021-5-3), p. 1-9
    Abstract: Football is a product in the process of human socialization; it can strengthen the body and enhance the ability of teamwork. The introduction of artificial intelligence into football training is an inevitable trend; this trend must be bound to intensify, but how to apply artificial intelligence to solve the problem of the joint movement estimation method for football players in sports training is still the main difficulty now. The basic principle of football training action pattern recognition is to determine the type of football player’s action by processing and analyzing the movement information obtained by the sensor. Due to the complex movements towards football players and the changeable external environment, there are still many problems with action recognition. Focusing on the detailed classification of different sports modes, this article conducts research on the recognition of the joint movement estimation method for football players in sports training. This paper uses the recognition algorithm based on the multilayer decision tree recognizer to identify the joint movement; the experiment shows that the method used in this paper accurately identified joint movement for football players in sports training.
    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
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  • 5
    Online Resource
    Online Resource
    Hindawi Limited ; 2021
    In:  Mobile Information Systems Vol. 2021 ( 2021-10-27), p. 1-10
    In: Mobile Information Systems, Hindawi Limited, Vol. 2021 ( 2021-10-27), p. 1-10
    Abstract: The wireless sensor network is an integral part of the physical information system. Disperse sensors through a set of special spaces track and record the natural state of the environment and manage the information collected in a central location. The sensors use wireless connections to create their own networks. Wireless sensor network technology has the advantages of flexible deployment and convenient use and has played an important role in the field of user behavior recognition. By deploying wireless sensor network technology, users can collect daily information, capture users’ behavior habits, and analyze users’ health status. In the deployment and application of this type of technology, it is very important to build an effective model of the logical sequence relationship of the monitored person’s behavior. The sensor data can be sent to the target user through wireless transmission. Action recognition is often based on a single feature for learning and judgment, so there are many difficulties in practical applications. This article aims to study motion shake awareness and action prediction algorithms based on wireless sensor networks. Aiming at the research of human pose recognition algorithm, to optimize the overall performance of the model, this article suggests the use of multimodal input, uses a 2D and 3D network structure, and finally, proposes two network weighted fusion strategies. Aiming at the research of pedestrian motion discrimination, this article offers a behavior prediction algorithm based on multifeature joint learning. The algorithm adds the feature vectors output by gesture recognition and mask prediction and uses a cross-entropy cost function to jointly learn and predict classification. The results of the survey show that the pedestrian gesture recognition and motion recognition algorithm based on the wireless sensor network proposed in this paper has good performance and can be widely used in real scenes such as video surveillance. The accuracy of the gesture recognition algorithm in the UCF101 dataset and the HMDB51 dataset was 96% and 72%, respectively.
    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
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  • 6
    Online Resource
    Online Resource
    Elsevier BV ; 2012
    In:  Research in Transportation Economics Vol. 35, No. 1 ( 2012-5), p. 13-25
    In: Research in Transportation Economics, Elsevier BV, Vol. 35, No. 1 ( 2012-5), p. 13-25
    Type of Medium: Online Resource
    ISSN: 0739-8859
    RVK:
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2012
    detail.hit.zdb_id: 86498-5
    detail.hit.zdb_id: 2403320-0
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  • 7
    Online Resource
    Online Resource
    Inderscience Publishers ; 2004
    In:  International Journal of Technology Management Vol. 28, No. 3/4/5/6 ( 2004), p. 633-
    In: International Journal of Technology Management, Inderscience Publishers, Vol. 28, No. 3/4/5/6 ( 2004), p. 633-
    Type of Medium: Online Resource
    ISSN: 0267-5730 , 1741-5276
    RVK:
    Language: English
    Publisher: Inderscience Publishers
    Publication Date: 2004
    SSG: 3,2
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  • 8
    Online Resource
    Online Resource
    Wiley ; 2022
    In:  International Transactions in Operational Research
    In: International Transactions in Operational Research, Wiley
    Abstract: Group‐buying price mechanism is useful for online sales since the 1990s, yet it has not been widely applied in the business‐to‐business (B2B) environment. In this study, we consider a B2B supply chain with one supplier and multiple retailers. With our analytical model, we compare the supplier's profit under the flat price mechanism, individual quantity discount mechanism, and group‐buying price mechanism. The results show that when retailers are homogeneous, the individual quantity discount mechanism is the best choice for the supplier. In situations with heterogeneous retailers (i.e., a large retailer and multiple small retailers), the group‐buying price mechanism is the best choice when there is a moderate difference in market scale between retailers. However, the condition is quite strict. These findings also hold with a step‐wise price menu set by the supplier. Our conclusions explain why the group‐buying price mechanism is not widely used in the B2B environment and provide some advice for the supplier on how to choose suitable pricing mechanisms.
    Type of Medium: Online Resource
    ISSN: 0969-6016 , 1475-3995
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2022
    detail.hit.zdb_id: 2019815-2
    SSG: 3,2
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  • 9
    Online Resource
    Online Resource
    Institute for Operations Research and the Management Sciences (INFORMS) ; 2018
    In:  Management Science Vol. 64, No. 8 ( 2018-09), p. 3843-3867
    In: Management Science, Institute for Operations Research and the Management Sciences (INFORMS), Vol. 64, No. 8 ( 2018-09), p. 3843-3867
    Abstract: We study the informational role of corporate hedging, comparing two hypotheses. Under the “opacity” hypothesis, corporate hedging makes earnings less informative, renders the firm opaque, and increases informed traders’ profitability. Under the “transparency” hypothesis, hedging reduces uncertainty and erodes the informed traders’ information advantage and profitability. Our tests support the transparency hypothesis. Hedging is associated with lower uncertainty (lower implied volatility and analyst forecast dispersion, and greater breadth of ownership). It is also associated with a lower informed trading intensity, in particular for short selling. Short selling profits are more than twice lower on the stocks of firms engaging in corporate hedging. The online appendix is available at https://doi.org/10.1287/mnsc.2016.2717 . This paper was accepted by Neng Wang, finance.
    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: 2018
    detail.hit.zdb_id: 206345-1
    detail.hit.zdb_id: 2023019-9
    SSG: 3,2
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  • 10
    Online Resource
    Online Resource
    Wiley ; 2015
    In:  The Manchester School Vol. 83, No. S3 ( 2015-09), p. 31-55
    In: The Manchester School, Wiley, Vol. 83, No. S3 ( 2015-09), p. 31-55
    Abstract: Prior to the financial crisis of 2008/9, DSGE models‐without‐money set a new standard in applied macroeconomics; and they were widely adopted by C entral B anks to help achieve their inflation targets. Controlling inflation did not deliver financial stability, however: far from it. The appeal of macro‐models based on ‘efficient financial markets’ surely contributed to over‐confidence before the crisis. But what about externalities? We examine, in particular, how steps to mitigate microeconomic principal/agent problems can create macroeconomic externalities—‘financial accelerators’ that affect balance sheets in pro‐cyclical fashion. Now is the time, we argue, to embrace such a wider perspective.
    Type of Medium: Online Resource
    ISSN: 1463-6786 , 1467-9957
    URL: Issue
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2015
    detail.hit.zdb_id: 1418920-3
    detail.hit.zdb_id: 1473781-4
    SSG: 3,4
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