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作者：Zhong, Yuanguang; Zheng, Xueliang; Xie, Wei; Li, Debiao
作者单位：South China University of Technology; Fuzhou University
摘要：To mitigate supply and demand uncertainties, firms often design highly flexible production networks. This study investigates process flexibility in production systems subject to supply disruptions and stochastic demands with differentiated profit margins. In particular, we model supply disruptions as failures of arcs in the network, with node-based disruptions treated as a special case in which all arcs connected to a node simultaneously fail. To address the cost implications of such disruptio...
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作者：Liu, Dehai; Qian, Kun; Zhao, Ning; Gupta, Sushil
作者单位：Dongbei University of Finance & Economics; Dongbei University of Finance & Economics; State University System of Florida; Florida International University
摘要：Effective utilization of disaster warning signals is crucial for mitigating impacts and enhancing operational resilience in disaster management. Although an emerging area of scholarly interest, the literature remains fragmented and lacks a unifying framework to guide research and practice. To consolidate knowledge and direct future research, this study conducts a systematic review of the literature on disaster warning signal research published in leading journals in operations management, mana...
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作者：Hosseini, Leila; Mookerjee, Vijay
作者单位：University of Houston; University of Houston System; University of Houston; University of Texas System; University of Texas Dallas
摘要：In today's fast-paced digital world, consumers demand instant access to online content and are intolerant of delays, making website speed a key competitive advantage in attracting web traffic. Google's Speed Update and Core Web Vitals have further emphasized the significance of website speed in web traffic competition. This study examines how firms strategically compete for web traffic by managing website speed, focusing specifically on two distinct strategies: response-based and capacity-base...
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作者：Lee, Kyuhan; Ram, Sudha
作者单位：Korea University; University of Arizona; Korea University
摘要：Fake news negatively impacts business operations across various sectors, including healthcare, retail, and finance. One promising way to mitigate this problem is through automated content moderation using machine learning (ML). However, existing methodologies have struggled to identify fake news due to its inherent challenges-namely, class heterogeneity, concept drift, context dependency, and adversarial attacks. To address these challenges, we propose a novel strategy that focuses on the hete...
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作者：Guo, Xue; Gong, Jing; Pavlou, Paul A.
作者单位：University System of Georgia; Georgia State University; University of Virginia; University of Miami
摘要：Many online labor markets face challenges in matching service providers with employers because of the high uncertainty in online environments compared to traditional ones. While prior studies have mostly focused on the uncertainty that employers face with service providers, our study explores the uncertainty service providers face when selecting projects on which to bid. Specifically, our study examines the role of project description in the Call for Bids (CFB) that describes the services requ...
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作者：Somanchi, Sriram; Kanuri, Vamsi K.; Telang, Rahul
作者单位：University of Notre Dame; Carnegie Mellon University
摘要：The financial industry is plagued with account-based fraudulent transactions in which perpetrators surreptitiously siphon away money from customer accounts. To address this recurrent problem, service operations teams at financial institutions (e.g., the fraud detection and mitigation teams) spend millions yearly identifying perpetrators, attributing blame, and averting customer churn. However, in the vast majority of cases, the service operations teams cannot trace fraudulent transactions back...
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作者：Jakhu, Gaurav; Chowdhury, Prabal Roy
作者单位：Indian Institute of Management (IIM System); Indian Institute of Management Bangalore; Indian Statistical Institute; Indian Statistical Institute Delhi
摘要：Dominant online platforms are increasingly collecting user-specific data across multiple markets, raising red flags as regards privacy, as well as potential anti-competitive abuses. We analyze competition among two platforms, with one platform collecting data in market 1 where it is dominant, using it to improve its competitive edge in market 2 where it competes in both prices and advertisements with the other platform. Our analysis unearths a novel anti-competitive effect of competition-that ...
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作者：Jang, Hongseok; Zheng, Quan; Pan, Xiajun Amy
作者单位：Tulane University; Chinese Academy of Sciences; University of Science & Technology of China, CAS; State University System of Florida; University of Florida
摘要：Currently, major online retail platforms, such as Amazon and JD, provide both conventional reselling channels and online marketplaces (i.e., agency channels), enabling their suppliers to encroach more efficiently than the traditional self-established direct channel. We construct a parsimonious model of a bilateral monopoly supply chain where the supplier can encroach through online marketplaces as both reselling and agency channels are available. Surprisingly, the encroachment option does not ...
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作者：Zhao, Xiangjie; Ding, Yichuan; Ge, Dongdong; (Kristine) Xie, Xiaoqing
作者单位：Xi'an Jiaotong University; Shanghai University of Finance & Economics; McGill University; Shanghai Jiao Tong University; University of Southern California
摘要：In this study, we examine a scenario where each customer strategically selects their arrival time at a queue, aiming to minimize their total costs, which include waiting, tardiness, and earliness costs. Building on the mixed strategy framework studied by Moshe Haviv, which provides a closed-form arrival time distribution, we extend our focus to the transient behavior of this system in the presence of irrational customers, in which case it is not yet known whether an equilibrium exists or wheth...
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作者：Yan, Shuo; Chen, Kun; Li, Shaobo; Lin, Zhijie
作者单位：Zhejiang University; Shenzhen University; Southern University of Science & Technology; Tsinghua University
摘要：Specialized investment platforms significantly influence financial service operations by enhancing collective intelligence and uncovering trading opportunities. However, the large volume of data, particularly the prevalence of noise, hinders effective decision-making. Opinion leaders constitute a distinct and influential group of users on these platforms, and the question of whether their presence can help financial institutions make better decisions remains open. To address this key operation...
