M&SOM - Manufacturing AND Service Operations Management

最新文章

• Privacy-Preserving Personalized Recommender Systems AI翻译
  作者：Fu, Xingyu; Chen, Ningyuan; Gao, Pin; Li, Yang
  作者单位：University of New South Wales Sydney; University of Toronto; The Chinese University of Hong Kong, Shenzhen; The Chinese University of Hong Kong, Shenzhen; Western University (University of Western Ontario)
  摘要：Problem definition: Personalized product recommendations are crucial for online platforms but pose privacy risks. To address these concerns, we propose recommendation policies that adhere to differential privacy constraints. Methodology/results: We develop a theoretical model where the recommendation policy selects products based on consumers' preference rankings, learned from personal data. Unlike conventional recommendation policies that primarily focus on prospering from meeting consumer sa...
• The Impact of Automation on Workers When Workers Are Strategic: The Case of Ride-Hailing AI翻译
  作者：Benjaafar, Saif; Wang, Zicheng; Yang, Xiaotang
  作者单位：University of Michigan System; University of Michigan; The Chinese University of Hong Kong, Shenzhen; Singapore University of Technology & Design
  摘要：Problem definition: Motivated by the behavior of drivers on ride-hailing platforms (individual drivers decide whether to work based on the offered wage and where to locate themselves in anticipation of future fares), we examine how the introduction of autonomous vehicles impacts the strategic behavior of human drivers and driver welfare. Specifically, we consider a setting in which a ride-hailing platform deploys a mixed fleet of conventional vehicles (CVs) and autonomous vehicles (AVs). The C...
• Early Detection of Opioid Over-Procurement: A Semisupervised Machine Learning Approach AI翻译
  作者：Bertsimas, Dimitris; Fazel-Zarandi, Mohammad M.; Ivanhoe, Joshua; Petridis, Periklis
  作者单位：Massachusetts Institute of Technology (MIT)
  摘要：Problem definition: The misuse of prescription opioids over the past two decades has emerged as a leading factor contributing to the decline in life expectancy in the United States. This study introduces a machine learning model designed to identify instances of illegal diversion within the prescription drug supply chain in the United States. Methodology/results: We introduce a semisupervised machine learning model aimed at identifying pharmacies involved in excessive procurement of prescripti...
• Stopping the Revolving Door: A Causal and Textual Analysis of Crowdfunding and Teacher Turnover AI翻译
  作者：Keppler, Samantha M.; Li, Jun; Wu, Di (Andrew)
  作者单位：University of Michigan System; University of Michigan
  摘要：Problem definition: Though the effectiveness and efficiency of education systems depend in part on a committed teacher workforce, high rates of teacher leaving have plagued the U.S. public schools. There are many complex factors at play. A foundational one is that teachers are frustrated by the difficulty and expense of needing to procure many classroom supplies and materials on their own. This has recently become more prominent with the emergence of teacher crowdfunding platforms. With the un...
• Does Transparency Hinder Technological Novelty? Evidence from Large Pharmaceutical Firms AI翻译
  作者：Tyagi, Hanu; Hermosilla, Manuel; Shah, Rachna
  作者单位：University of Illinois System; University of Illinois Urbana-Champaign; University of Illinois System; University of Illinois Chicago; University of Illinois Chicago Hospital; University of Minnesota System; University of Minnesota Twin Cities
  摘要：Problem definition: The drug development process has historically lacked transparency, leading to selective reporting of clinical trial results. Although clinical trial transparency aims to address this issue, increased public scrutiny may make managers more risk averse, potentially stifling novel research and development (R&D) initiatives. This raises the following question. Does transparency hinder technologically novel R&D? Methodology/results: Using data from nearly 10,000 clinical trials ...
• Market Formation, Pricing, and Value Generation in Ride-Hailing Services AI翻译
  作者：Ming, Liu; Tunca, Tunay; Xu, Yi; Zhu, Weiming
  作者单位：The Chinese University of Hong Kong, Shenzhen; University System of Maryland; University of Maryland College Park; University of Hong Kong
  摘要：Problem definition: We empirically study the market for ride-hailing services. In particular, we explore the following questions: (i) How do the two-sided market and prices jointly form in ride-hailing marketplaces? (ii) Does surge pricing create value, and for whom? How can its efficiency be improved? (iii) Can platforms' strategy on revenue sharing with drivers be improved? (iv) What is the value generated by ride-hailing services, including hosting rival taxi services on ride-hailing apps? ...
• Advance Selling and Upgrading in Priority Queues AI翻译
  作者：Wang, Yaolei; Cao, Ping; Xie, Jingui; Zhan, Dongyuan
  作者单位：Chinese Academy of Sciences; University of Science & Technology of China, CAS; Technical University of Munich; Chinese Academy of Sciences; University of Science & Technology of China, CAS
  摘要：Problem definition: We study advance selling and upgrading in a priority queue setting that emerges in the amusement park industry. Customers choose to buy fast-track or regular tickets depending on their heterogeneous waiting costs. At the park entrance, customers can choose tickets based on the observed congestion levels. Customers who purchase tickets in advance suffer from congestion uncertainty. Upgrading options allow customers to purchase regular tickets in advance and upgrade on-site i...
• Waiting Online versus In Person: An Empirical Study on Outpatient Clinic Visit Incompletion AI翻译
  作者：Qin, Jimmy; Chan, Carri W.; Dong, Jing; Homma, Shunichi; Ye, Siqin
  作者单位：University of Texas System; University of Texas Dallas; Columbia University; Columbia University; NewYork-Presbyterian Hospital
  摘要：Problem definition: The adoption of online services, such as telemedicine, has increased rapidly over the last few years. To better manage online services and effectively integrate them with in-person services, we need to better understand customer behaviors under the two service modalities. Utilizing data from two large internal medicine outpatient clinics, we take an empirical approach to study service incompletion, which can be because of either patient no-show or leaving without being seen...
• Dynamic Care Unit Placements Under Unknown Demand with Learning AI翻译
  作者：Dean, Arlen; Zhalechian, Mohammad; Van Oyen, Mark P.
  作者单位：Washington University (WUSTL); Indiana University System; IU Kelley School of Business; Indiana University Bloomington; University of Michigan System; University of Michigan
  摘要：Problem definition: Care units are the facilities where admitted hospital patients receive treatment and monitoring services. This paper studies the problem of deciding which patients to place into the various available care units at any time. To determine placements in practice, hospitals rely on clinicians to discern a patient's care needs and appropriately trade-off between future demand and limited bed availability. Making the right decisions remains challenging because patients are hetero...
• The Value of Online Interactions for Store Execution AI翻译
  作者：Caro, Felipe; Martinez-de-Albe, Victor; Apaolaza, Borja
  作者单位：University of California System; University of California Los Angeles; University of Navarra; IESE Business School; University of Pennsylvania
  摘要：Problem definition: Omnichannel retailers interact with customers both online and offline. So far, they have used the richer information available-gathered from customer interactions across digital and physical channels-to optimize the sales process by designing the right channel and supply chain structures and by personalizing offers, pricing, and promotions. We advance an additional dimension of omnichannel value: retailers can use online clickstreams to better understand customer needs and ...