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作者：Rios, Ignacio; Saban, Daniela; Zheng, Fanyin
作者单位：University of Texas System; University of Texas Dallas; Stanford University; Columbia University
摘要：Problem definition: Motivated by our collaboration with an online dating company, we study how a platform should dynamically select the set of potential partners to show to each user in each period in order to maximize the expected number of matches in a time horizon, where a match is formed only after two users like each other, possibly in different periods. Academic/practical relevance: Increasing match rates is a prevalent objective of online platforms. We provide insights into how to lever...
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作者：Lee, Hau; Tang, Christopher; Yang, S. Alex; Zhang, Yuxuan
作者单位：Stanford University; University of California System; University of California Los Angeles; University of London; London Business School; University of International Business & Economics
摘要：Problem definition: The paper focuses on an innovative bank-intermediated trade finance contract, which we call dynamic trade finance (DTF, under which banks dynamically adjust loan interest rates as an order passes through different steps in the trade process). We examine the value of DTF, the impact of process uncertainties, and the associated information frictions on this value and the strategic interaction between DTF and FinTech. Academic/practical relevance: As more than 30% of global tr...
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作者：Cho, Sanghoon; Ferguson, Mark; Pekgun, Pelin; Vakhutinsky, Andrew
作者单位：University of South Carolina System; University of South Carolina Columbia; Oracle
摘要：Problem definition: Estimating customer demand for revenue management solutions faces two main hurdles: unobservable no-purchases and nonhomogenous customer populations with varying preferences. We propose a novel and practical estimation and segmentation methodology that overcomes both challenges simultaneously. Academic/practical relevance: We combine the estimation of discrete choice modeling under unobservable no-purchases with a data-driven identification of customer segments. In collabor...
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作者：Ferreira, Kris Johnson; Mower, Emily
作者单位：Harvard University; Harvard University
摘要：Problem definition: We consider the problem of demand learning and pricing for retailers who offer assortments of substitutable products that change frequently, for example, due to limited inventory, perishable or time-sensitive products, or the retailer's desire to frequently offer new styles. Academic/practical relevance: We are one of the first to consider the demand learning and pricing problem for retailers who offer product assortments that change frequently, and we propose and implement...
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作者：Alley, Michael; Biggs, Max; Hariss, Rim; Herrmann, Charles; Li, Michael Lingzhi; Perakis, Georgia
作者单位：University of Virginia; McGill University; Massachusetts Institute of Technology (MIT); Massachusetts Institute of Technology (MIT)
摘要：Problem definition: We present a data-driven study of the secondary ticket market. In particular, we are primarily concerned with accurately estimating price sensitivity for listed tickets. In this setting, there are many issues including endogeneity, heterogeneity in price sensitivity for different tickets, binary outcomes, and nonlinear interactions between ticket features. Our secondary goal is to highlight how this estimation can be integrated into a prescriptive trading strategy for buyin...
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作者：Gutjahr, Walter J.; Kovacevic, Raimund M.; Wozabal, David
作者单位：University of Vienna; Danube University Krems; Technische Universitat Wien; Technical University of Munich
摘要：Problem definition: Bargaining situations are ubiquitous in economics and management. We consider the problem of bargaining for a fair ex ante distribution of random profits arising from a cooperative effort of a fixed set of risk-averse agents. Our approach integrates optimal managerial decision making into bargaining situations with random outcomes and explicitly models the impact of risk aversion. The proposed solution rests on a firm axiomatic foundation and yet allows to compute concrete ...
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作者：Deshpande, Vinayak; Pendem, Pradeep K.
作者单位：University of North Carolina; University of North Carolina Chapel Hill; University of Oregon
摘要：Problem definition: We examine the impact of logistics performance metrics such as delivery time and customer's requested delivery speed on logistics service ratings and third-party sellers' sales on an e-commerce platform. Academic/practical relevance: Although e-commerce retailers like Amazon have recently invested heavily in their logistics networks to provide faster delivery to customers, there is scant academic literature that tests and quantifies the premise that convenient and fast deli...
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作者：Dong, Yan; Song, Sining; Zou, Fan
作者单位：University of South Carolina System; University of South Carolina Columbia; University of Tennessee System; University of Tennessee Knoxville
摘要：Problem definition: Recent developments in mobile payment services (MPS) have shown an increasing role of mobile-government (m-government) initiatives in improving the market performance of mobile network operators (MNOs) and financial inclusion. High costs and operational challenges have discouraged MNOs from fully committing to the development of MPS, but government involvement under m-government may increase MNO user bases by providing the scale and scope necessary to incentivize MNOs. Acad...
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作者：Cohen, Maxime C.; Fiszer, Michael-David; Ratzon, Avia; Sasson, Roy
作者单位：McGill University
摘要：Problem definition: Traffic congestion is a serious global issue. A potential solution, which requires zero investment in infrastructure, is to convince solo car users to carpool. Academic/practical relevance: In this paper, we leverage the Waze Carpool service and run the largest ever digital field experiment to nudge commuters to carpool. Methodology: Our field experiment involves more than half a million users across four U.S. states between June 10 and July 3, 2019. We identify users who c...
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作者：Canyakmaz, Caner; Boyaci, Tamer
作者单位：Ozyegin University; European School of Management & Technology
摘要：Problem definition: Classical models of queueing systems with rational and strategic customers assume queues to be either fully visible or invisible, while service parameters are known with certainty. In practice, however, people only have partial information on the service environment, in the sense that they are not able to fully discern prevalent uncertainties. This is because assessing possible delays and rewards is costly, as it requires time, attention, and cognitive capacity, which are a...
