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作者：Epstein, Boris; Ma, Will
作者单位：Columbia University
摘要：Motivated by hiring pipelines, we study three selection and ordering problems in which applicants for a finite set of positions are interviewed or sent offers. There is a finite time budget for interviewing/sending offers, and every interview/offer is followed by a stochastic realization of discovering the applicant's quality or acceptance decision, leading to computationally challenging problems. In the first problem, we study sequential interviewing and show that a computationally tractable,...
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作者：Huettner, Frank; Boyaci, Tamer; Akcay, Yalcin
作者单位：Sungkyunkwan University (SKKU); European School of Management & Technology; University of Melbourne
摘要：There is an error in one of the results of our paper [Huettner F, Boyaci T, Akcay Y (2019) Consumer choice under limited attention when alternatives have different information costs. Oper. Res. 67(3):671-699]. In this erratum, we point out the error and provide a correction based on Walker-Jones [(2023) Rational inattention with multiple attributes. J. Econom. Theory 212:105688]. Our key characterizations, insights, and numerical examples do not depend on this error and, hence, remain valid. T...
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作者：Kennedy, Adrian P.; Sethi, Suresh P.; Siu, Chi Chung; Yam, Sheung Chi Phillip
作者单位：Chinese University of Hong Kong; University of Texas System; University of Texas Dallas; Hang Seng University of Hong Kong
摘要：We propose a flexible yet tractable dynamic advertising model called the generalized Sethi model to capture different market penetration rates across various media and markets via advertising. Specifically, the generalized Sethi model employs a Cobb-Douglas production function of advertising expenditure and the untapped market share with constant returns to scale. It encompasses some standard dynamic advertising models as particular cases. Moreover, the model's flexibility does not compromise ...
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作者：Caldentey, Rene; Haugh, Martin B.
作者单位：University of Chicago; Imperial College London
摘要：We study Cournot competition among firms in a multimarket framework where each of the firms face different budget/capacity constraints. We assume independent linear inverse demand functions for each market and completely characterize the resulting unique equilibrium. Specifically, we introduce the notions of augmented and cutoff budgets for firms and markets, respectively. We show, for example, that firm i operates in market j if and only if firm i's augmented budget is greater than market j's...
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作者：Muharremoglu, Alp; Yang, Nan; Geng, Xin
作者单位：Amazon.com; University of Miami
摘要：We study a single -product assemble -to -order (ATO) system with exogenous lead times operated under a component base stock policy. Both demand and component lead times are random and are assumed to have finite supports. The challenge of evaluating a base stock policy in an ATO system with random lead times lies in the fact that one needs to compute the distribution of the minimum of n correlated random variables, where n is the number of components. The correlation arises because the replenis...
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作者：Keppo, Jussi; Touzi, Nizar; Zuo, Ruiting
作者单位：National University of Singapore; National University of Singapore; New York University; New York University Tandon School of Engineering; Hong Kong University of Science & Technology (Guangzhou)
摘要：We study incentive contracts in asset management business under dynamic actions and relationships between an investor, a partner of an investment company, and a fund manager of the company. Both the manager and the partner exert costly effort to manage the investments. The investor cannot perfectly observe the partner's and manager's actions, and similarly, the partner cannot perfectly observe the manager's actions. Thus, we consider a hierarchical contracting framework under hidden efforts, w...
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作者：Sutter, Tobias; Van Parys, Bart P. G.; Kuhn, Daniel
作者单位：University of Konstanz; Massachusetts Institute of Technology (MIT); Swiss Federal Institutes of Technology Domain; Ecole Polytechnique Federale de Lausanne
摘要：We propose a statistically optimal approach to construct data-driven decisions for stochastic optimization problems. Fundamentally, a data-driven decision is simply a function that maps the available training data to a feasible action. It can always be expressed as the minimizer of a surrogate optimization model constructed from the data. The quality of a data-driven decision is measured by its out-of-sample risk. An additional quality measure is its out-of-sample disappointment, which we defi...
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作者：Keskin, N. Bora; Li, Meng
作者单位：Duke University; University of Houston System; University of Houston
摘要：In this paper, we study a firm's dynamic pricing problem in the presence of unknown and time-varying heterogeneity in customers' preferences for quality. The firm offers a standard product as well as a premium product to deal with this heterogeneity. First, we consider a benchmark case in which the transition structure of customer heterogeneity is known. In this case, we analyze the firm's optimal pricing policy and characterize its key structural properties. Thereafter, we investigate the cas...
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作者：Ata, Baris; Tongarlak, Mustafa H.; Lee, Deishin; Field, Joy
作者单位：University of Chicago; Bogazici University; Western University (University of Western Ontario); Boston College
摘要：Nonprofit organizations that provide food, shelter, and other services to people in need, rely on volunteers to deliver their services. Unlike paid labor, nonprofit organizations have less control over unpaid volunteers' schedules, efforts, and reliability. However, these organizations can invest in volunteer engagement activities to ensure a steady and adequate supply of volunteer labor. We study a key operational question of how a nonprofit organization can manage its volunteer workforce cap...
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作者：Light, Bar; Johari, Ramesh; Weintraub, Gabriel
作者单位：Tel Aviv University; Stanford University; Stanford University
摘要：Online platforms collect rich information about participants and then share some of this information back with them to improve market outcomes. In this paper, we study the following information disclosure problem in two-sided markets: if a platform wants to maximize revenue, which sellers should the platform allow to participate, and how much of its available information about participating sellers' quality should the platform share with buyers? We study this information disclosure problem in ...
