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作者:Chaturvedi, Aadhaar
作者单位:Clemson University
摘要:We study information sharing contracts in which a privately informed retailer offers to share its demand information with the upstream competing manufacturers (suppliers) for a price. We investigate whether such information sharing contracts would ever be accepted by the manufacturers, especially when they can use alternative means, like screening contracts, to obtain the same information. For that we model a three-stage game between the retailer and the manufacturers in which the retailer fir...
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作者:Sun, Can; Ji, Yonghua; Mookerjee, Radha
作者单位:Chinese Academy of Sciences; University of Science & Technology of China, CAS; University of Alberta; University of Texas System; University of Texas Dallas
摘要:The advancement of Internet of Things (IoT) technology has enabled IoT device manufacturers to collect consumer usage data (IoT data) whenever their devices are in use. Our paper examines the following setting: A manufacturer collects IoT data and decides whether to share it with a retailer, while consumers remain concerned about their privacy; the retailer, in turn, can leverage the shared data for cross-selling by investing in data-mining efforts that transform raw data into actionable insig...
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作者:Wang, Wenbin; Wu, Owen Q.; Souza, Gilvan C.
作者单位:Shanghai University of Finance & Economics; Indiana University System; IU Kelley School of Business; Indiana University Bloomington; University of Tennessee System; University of Tennessee Knoxville
摘要:Combined heat and power (CHP) technology produces both heat and electricity from a single-fuel input, achieving an efficiency (total useful energy output divided by fuel input) as high as 90%. However, using CHP exposes firms to a higher fuel price uncertainty, compared to purchasing electricity at a relatively stable price from the utility and generating heat separately. In this paper, we study the problem of optimizing the design (including capacity and power-to-heat ratio) and operations of...
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作者:Gong, Garros; Dimitrov, Stanko; Bartolacci, Michael R.
作者单位:University of Waterloo; Pennsylvania Commonwealth System of Higher Education (PCSHE); Pennsylvania State University; Pennsylvania State University - University Park
摘要:This work addresses the operational conflicts between visibility-driven mobilization and cost efficiency in disaster management scenarios involving wildfires. Using official wildfire reporting on the social media platform Twitter (now X), we develop a temporal gravity model to extract a signal of public attention for California wildfires (2007-2021) without the noise of spurious content. Interpreting this signal through the lens of behavioral disaster management operations, our analysis finds ...
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作者:Chen, Junlin; Chen, Shi; Xie, Yujie; Wang, Jinting
作者单位:Central University of Finance & Economics; University of Washington; University of Washington Seattle
摘要:We study a supply chain comprising a downstream retailer and multiple complementary suppliers. Suppliers can form coalitions to jointly invest in sustainable production technologies and enhance the product's corporate social responsibility (CSR) level. Coalition members benefit from efficiency gains through shared knowledge and information about green production. The retailer sources from these coalitions and sells the product to heterogeneous consumers. We develop a game-theoretical model and...
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作者:Moradi, Shahryar; Saure, Antoine; Patrick, Jonathan
作者单位:University of Ottawa
摘要:This study examines a patient scheduling problem with multiple appointment types and priority levels, where certain appointments must precede others and lead times play a crucial role. Although both factors significantly influence the quality of care-particularly when specialist assessments depend on timely diagnostic tests-they have been largely overlooked in existing healthcare scheduling models. To address this gap, we propose a dynamic scheduling model that explicitly incorporates appointm...
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作者:Liu, Junyi; Sun, Qihang; Xie, Jinxing; Yuan, Shilin
作者单位:Tsinghua University; Tsinghua University; Huazhong University of Science & Technology
摘要:Advertising and pricing are two important marketing decisions that promote demand and increase a firm's market share. However, it is often costly or even impossible for a company to accurately estimate the advertising system's state and select appropriate advertising models, thereby leading to significant waste in advertising. To address these issues, we consider a firm that does not know the advertising model a priori and learns to adjust its advertising and pricing decisions adaptively. We f...
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作者:Yang, Zhechao; Wang, Qili; Qiu, Liangfei; Cheng, Hsing Kenneth
作者单位:George Mason University; University System of Ohio; Ohio State University; State University System of Florida; University of Florida
摘要:Social media plays an increasingly important role in shaping consumer purchase behavior and informing operational decisions. However, the multimodal nature of social media content, which often combines text and images, makes it difficult for firms to extract actionable insights. To address this challenge, we propose a theory-driven quality-credibility-complementarity deep multimodal learning (QCC-DML) framework. Specifically, we extend the traditional information adoption model (IAM), original...
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作者:Mankad, Shawn; Shunko, Masha; Yu, Qiuping
作者单位:North Carolina State University; University of Washington; University of Washington Seattle; Georgetown University
摘要:We study how one store's performance affects others within a large branded network. Stores influence each other both negatively, through cannibalization, and positively, via agglomeration as well as knowledge and reputation spillovers. This study causally quantifies these peer effects at the dyadic level. To address the complexity of estimating peer effects across a large number of stores, we develop a semi-parametric model that balances parsimony with the flexibility to capture heterogeneity ...
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作者:Zhang, Mengxiao; Chen, Shi; Luo, Haipeng; Wang, Yingfei
作者单位:University of Iowa; University of Washington; University of Washington Seattle; University of Southern California
摘要:Multi-echelon stochastic inventory models with known demand distributions have long underpinned supply chain coordination, yielding first-best policies in centralized systems and contract mechanisms that induce decentralized agents to implement these policies. We revisit the classic two-echelon inventory model in an online learning setting with unknown demand, which necessitates rethinking both inventory control and coordination strategies. This setting poses three key challenges: (i) the over...