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作者:Shen, Huaxiao; Li, Yanzhi; Guan, Jingjing; Tso, Geoffrey K. F.
作者单位:Sun Yat Sen University; City University of Hong Kong
摘要:Many publishers of online display advertising sell their ad resources through event-based auctions in the spot market. Such a way of selling lacks a holistic view of the publisher's ad resource and thus suffers from a well-recognized drawback: the publisher's revenue is often not maximized, particularly due to users' dynamic ad clicking behavior and advertisers' budget constraints. In this study, we propose a planning approach for ad publishers to better allocate their ad resources. Specifical...
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作者:Chen, Pei-Yu; Pavlou, Paul; Wu, Shinyi; Yang, Yang
作者单位:Arizona State University; Arizona State University-Tempe; University of Houston System; University of Houston
摘要:Contests have long existed to source ideas and solutions. The emergence of crowdsourcing contest platforms greatly reduces the costs and broadens the reach of running contests by facilitating access to a large pool of labor, making contests a cost-efficient approach to procure ideas/solutions even for employers of limited resources. As a result, the use of contests surges and there is a flux of small-to-medium size contests to these platforms. This study focuses on these new waves of small-to-...
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作者:Wang, Yining; Chen, Xi; Chang, Xiangyu; Ge, Dongdong
作者单位:State University System of Florida; University of Florida; New York University; Xi'an Jiaotong University; Shanghai University of Finance & Economics
摘要:Data-driven sequential decision has found a wide range of applications in modern operations management, such as dynamic pricing, inventory control, and assortment optimization. Most existing research on data-driven sequential decision focuses on designing an online policy to maximize revenue. However, the research on uncertainty quantification on the underlying true model function (e.g., demand function), a critical problem for practitioners, has not been well explored. In this study, using th...
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作者:Ales, Laurence; Cho, Soo-Haeng; Korpeoglu, Ersin
作者单位:Carnegie Mellon University; University of London; University College London
摘要:This study examines innovation tournaments in which an organizer seeks solutions to an innovation-related problem from a number of agents. Agents exert effort to improve their solutions but face uncertainty about their solution performance. The organizer is interested in obtaining multiple solutions-agents whose solutions contribute to the organizer's utility are called contributors. Motivated by mixed policies observed in practice, where some tournaments are open and others restrict entry, we...
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作者:Chen, Xin; Li, Menglong
作者单位:University of Illinois System; University of Illinois Urbana-Champaign
摘要:Discrete convexity, in particular,L-convexity andM-convexity, provides a critical opening to attack several classical problems in inventory theory, as well as many other operations problems that arise from more recent practices, for instance, appointment scheduling and bike sharing. As a powerful framework, discrete convex analysis is becoming increasingly popular in the literature. This review will survey the landscape of the approach. We start by introducing several key concepts, namely,L-co...
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作者:Wang, Shixin; Wang, Xuan; Zhang, Jiawei
作者单位:New York University; Hong Kong University of Science & Technology
摘要:One effective means to hedge against uncertainty and better match supply with demand in a swiftly changing environment is to adopt a flexible operations strategy that allows timely response to realized demand. The notion of flexible processes and operations has led to significant impact on the performance of many manufacturing and service applications. However, investing a fully flexible system is usually prohibitively expensive with overwhelming implementation complexity and overhead. As a re...
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作者:Zhang, Jianghua; Long, Daniel Zhuoyu; Wang, Rowan; Xie, Chi
作者单位:Shandong University; Chinese University of Hong Kong; Singapore Management University
摘要:We study a novel newsvendor-type problem where the information on demand quantity is not exogenously given. The customer needs to make the booking decision based on her estimation on demand, which is affected by the value of shortage penalty cost. The problem is motivated by low-cost airline service practices where passengers need to book baggage allowance for their travel. The baggage overweight price affects the accuracy of passengers' baggage weight estimation and thus their booking quantit...
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作者:Kistler, Justin T.; Janakiraman, Ramkumar; Kumar, Subodha; Tiwari, Vikram
作者单位:University of Tennessee System; University of Tennessee Knoxville; University of South Carolina System; University of South Carolina Columbia; Pennsylvania Commonwealth System of Higher Education (PCSHE); Temple University; Vanderbilt University; Vanderbilt University; Vanderbilt University; Vanderbilt University; Vanderbilt University
摘要:We partnered with a leading US academic medical center to empirically examine the impact of operational process changes designed to improve preoperative flow of patients through the perioperative environment. We focus on the implementation of centralized decision-making and the introduction of an information technology (IT)-enabled intraoperative prompt, on efficiency, as measured by preoperative patient processing time. We analyze over 33,000 individual surgical cases in a unique field experi...
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作者:Lorko, Matej; Servatka, Maros; Zhang, Le
作者单位:Macquarie University; University of Economics Bratislava
摘要:How to avoid project failures driven by overoptimistic schedules? Managers often attempt to mitigate the duration underestimation and improve the accuracy of project schedules by providing their planners with excessively detailed project specifications. While this traditional approach may be intuitive, solely providing more detailed information has proven to have a limited effect on eliminating behavioral biases. We experimentally test the effectiveness of providing detailed specification and ...
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作者:Goldberg, David A.; Reiman, Martin, I; Wang, Qiong
作者单位:Cornell University; Columbia University; University of Illinois System; University of Illinois Urbana-Champaign
摘要:It has long been recognized that many inventory models most relevant to practice are inherently high-dimensional, and hence generally believed to become computationally intractable as certain problem parameters grow large (suffering from the curse of dimensionality). In the last decade, asymptotic analysis has shown that in many interesting settings such problems can actually be well-approximated by much simpler optimization problems, leading to new algorithms and insights. In this survey, we ...