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作者：Guha, Samayita; Kumar, Subodha
作者单位：Pennsylvania Commonwealth System of Higher Education (PCSHE); Temple University
摘要：In this day, in the age of big data, consumers leave an easily traceable digital footprint whenever they visit a website online. Firms are interested in capturing the digital footprints of their consumers to understand and predict consumer behavior. This study deals with how big data analytics has been used in the domains of information systems, operations management, and healthcare . We also discuss the future potential of big data applications in these domains (especially in the areas of clo...
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作者：Ibrahim, Rouba
作者单位：University of London; University College London
摘要：One prevalent assumption in queueing theory is that the number of servers in a queueing model is deterministic. However, randomness in the number of available servers often arises in practice, e.g., in virtual call centers where agents are allowed to set their own schedules. In this paper, we study the problems of staffing and controlling queueing systems with an uncertain number of servers and impatient customers. Because randomness in the number of servers creates congestion in the system, t...
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作者：Lawson, Benn; Pil, Frits K.; Holweg, Matthias
作者单位：University of Cambridge; Pennsylvania Commonwealth System of Higher Education (PCSHE); University of Pittsburgh; University of Oxford
摘要：Empirical work on order fulfillment strategies suggests that building products to customer order is an important driver of organizational value. Similarly, the experimental literature indicates that customers derive value from customization. The modeling literature provides a more equivocal perspective, suggesting that a combination of build-to-forecast and build-to-order (BTO) fulfillment modalities may lead to the best system-wide outcomes. Using an industry studies approach, we build on the...
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作者：Bretthauer, Kurt M.; Savin, Sergei
作者单位：Indiana University System; IU Kelley School of Business; Indiana University Bloomington; University of Pennsylvania
摘要：Operations management provides many exciting opportunities for improving the delivery of healthcare services. Much of the existing literature has focused on the efficient and cost effective delivery of good-quality care. Recently, there has been a growing demand for a more direct consideration of the wants, needs, and preferences of individual patients. This drive for patient-centric care coincides with and is fed by a dramatic explosion in the availability of data and analytics tools. The 12 ...
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作者：Massimino, Brett; Gray, John, V; Lan, Yingchao
作者单位：Cornell University; University System of Ohio; Ohio State University
摘要：Digital assets are growing in scale, scope, and importance, amplifying the necessity to maintain their confidentiality. Yet, digital confidentiality has received vastly less research attention from operations and supply chain management (OSCM) scholars than cost, quality, flexibility, delivery, and innovation. We contend that this lack of attention has, at least partly, produced recommendations that ultimately could harm digital confidentiality performance. To guide future research, we synthes...
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作者：Yang, Lei; Cai, Gangshu (George); Chen, Jian
作者单位：South China University of Technology; Santa Clara University; Tsinghua University
摘要：The literature has shown that supply chain performance is affected by the allocation of inventory risk. Traditionally, a pull supply chain generates a higher optimal order quantity and hence higher supply chain profit than a push supply chain when firms are risk neutral. Extended from the classic push and pull newsvendor models, this study investigates the impact of firms' risk-averse attitudes on supply chain performance. Based on firms' conditional value-at-risk (CVaR), our analysis indicate...
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作者：Schultz, Kenneth L.; Robinson, Lawrence W.; Thomas, L. Joseph; Schultz, Johnathon; McClain, John O.
作者单位：Cornell University
摘要：It is well established that human newsvendors tend to order insufficient inventory in high-marginsituations, possibly due to implicit risk aversion. In this study, we investigate the use of framing to change newsvendors' risk preference in order to induce them to make better ordering decisions. Through an exploratory experiment and five different treatments of the newsvendor problem, we found risk reversal only in the treatments with one question. In the other four treatments and the explorato...
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作者：Ghamat, Salar; Zaric, Gregory S.; Pun, Hubert
作者单位：Wilfrid Laurier University; Western University (University of Western Ontario)
摘要：In this study, we examine performance-based payment contracts to promote the optimal use of an optional diagnostic test for newly diagnosed cancer patients. Our work is inspired by three trends: tremendous increases in the cost of new, advanced cancer drugs; development of new diagnostic tests to allow physicians to tailor treatment to patients; and changes in healthcare funding models that reward quality care. We model the interaction between two parties-a healthcare payer and an oncologist, ...
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作者：Ghasemkhani, Hossein; Li, Yung-Ming; Moinzadeh, Kamran; Tan, Yong
作者单位：Purdue University System; Purdue University; National Yang Ming Chiao Tung University; University of Washington; University of Washington Seattle; Tsinghua University
摘要：In recent years, peer-to-peer (P2P) networks have become an increasingly popular method for distributing digital content. In this study, we consider the development of optimal contracts for a P2P network by a profit-seeking provider to support the operations of an online file exchange service. By utilizing the principal-agent model of incentive theory, we propose appropriate reward and pricing schemes for profit-seeking P2P content distribution networks. We show that when peers are homogeneous...
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作者：Choi, Tsan-Ming; Wallace, Stein W.; Wang, Yulan
作者单位：Hong Kong Polytechnic University; Norwegian School of Economics (NHH); Hong Kong Polytechnic University
摘要：Big data analytics is critical in modern operations management (OM). In this study, we first explore the existing big data-related analytics techniques, and identify their strengths, weaknesses as well as major functionalities. We then discuss various big data analytics strategies to overcome the respective computational and data challenges. After that, we examine the literature and reveal how different types of big data methods (techniques, strategies, and architectures) can be applied to dif...
