-
作者：He, Chao; Tan, Chunqiao; Shi, Yangyan; Tripathi, Arvind K.
作者单位：Zhejiang University; Central South University; Nanjing Audit University; Nanjing Audit University; Capital University of Economics & Business; Macquarie University; University of Kansas
摘要：This study examines manufacturers' (i.e., brand-name firms') incentives to adopt blockchain technology-supported (BTS) platforms in markets where deceptive and non-deceptive counterfeits coexist. It is among the first to analyze the adoption of BTS platforms in the context of a complex counterfeit market. First, the study integrates consumers' perceived risk concerning product authenticity (CPRPA) into a signaling game model to examine the impacts of quality information asymmetry on market dyn...
-
作者：Wu, Desheng
作者单位：Chinese Academy of Sciences; University of Chinese Academy of Sciences, CAS
摘要：This Part II paper analyzes the industrial transformation and policy governance of Operations and Supply Chain Management in China. Chinese supply chains are changing fast. The system is shifting from labor-based cost advantages to technology-driven value. Key markers include high-density automation, industrial artificial intelligence, and green operations. Concurrently, national policies serve as critical institutional drivers. This study highlights a distinctive state-led governance innovati...
-
作者：Gu, Wei; Li, Meng; Zhang, Shichen
作者单位：University of Science & Technology Beijing; University of Houston System; University of Houston; Tianjin University
摘要：In this paper, we explore the effectiveness of late penalties in reducing patient tardiness. Specifically, we evaluate two types of penalties: the last-place penalty (i.e., assigning late-arriving patients to the end of the queue) and the fixed-place penalty (i.e., moving late patients back by a fixed number of positions), under two conditions-absence of a time recommendation and presence of an explicit time recommendation. We conducted a randomized controlled trial involving 9,573 patient vis...
-
作者：Huang, Guohua; Yu, Guodong; Zhao, Xuejun
作者单位：Shandong University; University of North Carolina; University of North Carolina Charlotte
摘要：This paper investigates the supplier's pricing problem under upfront reservation discount (URD) contracts where the buyer reserves products in advance and then adjusts the purchase quantity based on realized end-market demand. A key challenge is that the supplier typically has limited data to estimate the demand distribution and possesses inferior information compared to the buyer. To address the challenges of distributional ambiguity and information asymmetry, we develop a refined distributio...
-
作者：Guo, Xue; Shan, Guohou; Rivera, Michael; Qiu, Liangfei
作者单位：University System of Georgia; Georgia State University; Northeastern University; Lehigh University; State University System of Florida; University of Florida
摘要：Real-time feedback applications are reshaping employee performance feedback in operations management. Their design and implementation significantly influence employee engagement, which is a key factor in the success of technology-driven business innovations. This study investigates an implementation strategy to optimize feedback app use by employing digital nudges to encourage regular engagement. Drawing on social norms theory and cognitive load theory, we examine how message framing and users...
-
作者：Nguyen, Jason; Pourghannad, Behrooz
作者单位：Western University (University of Western Ontario); University of Oregon
摘要：Government environmental agencies are increasingly partnering with large, foreign corporate buyers in the energy efficiency improvement process to encourage investments at small manufacturers that can enhance the value of local manufacturing. Using a stylized supply chain model, we show that while buyer collaboration enhances energy efficiency investments, its impact on the value of local manufacturing varies. Specifically, buyer collaboration improves the value of local manufacturing only whe...
-
作者：Imdahl, Christina; Schmidt, William; Hoberg, Kai
作者单位：Eindhoven University of Technology; Emory University; Kuhne Logistics University
摘要：In many decision processes, a decision maker or planner must review and optionally adjust the recommendations that are generated by a decision support system (DSS). When the DSS is well-tuned to its task, adjustments by a planner can be rare and may even degrade the DSS's performance. Targeted automation could address these inefficiencies by predicting whether a planner will adjust a recommendation and improve the performance of the system. The remaining recommendations can be automated. Howev...
-
作者：Arlt, Marie-Louise; Gust, Gunther; Neumann, Dirk
作者单位：University of Bayreuth; University of Bayreuth; Leibniz Association; Ifo Institut; University of Wurzburg; University of Wurzburg; University of Freiburg
摘要：The decarbonization of power systems facilitates the electrification of appliances, many of which can be operated in a flexible way. Demand response (DR) programs can exploit this flexibility with retail price adjustment, thereby addressing several operational challenges. In this paper, we address the welfare optimization problem of local utilities that procure electricity for their customers at the wholesale market. We demonstrate how DR programs can be designed for local electricity systems ...
-
作者：Grigas, Paul; Lobos, Alfonso; Wen, Zheng; Lee, Kuang-Chih
作者单位：University of California System; University of California Berkeley; Alphabet Inc.; DeepMind
摘要：We develop a practical optimization model for the management of a demand-side platform (DSP), which is applicable in static planning situations where the DSP acquires valuable impressions for high-volume advertiser clients in a real-time bidding environment. We propose a highly flexible model for the DSP to maximize its profit while maintaining acceptable levels of budget spending for its advertisers. Our model achieves flexibility and improved performance primarily through two different aspec...
-
作者：Kizil, Kerim U.; Sriskandarajah, Chelliah; Stauffer, Jon M.
作者单位：Texas A&M University College Station; Mays Business School; Texas A&M University System; Texas A&M University College Station
摘要：Robotic mobile fulfillment (RMF) systems automate storage and transportation within fulfillment centers while still relying on human pickers. We focus on two key performance metrics in these systems, aiming to minimize overall completion time (OCT) as the primary objective and the number of required robots (NRR) as a secondary objective. We investigate two interrelated operational problems influencing these metrics: (i) Pod selection, which involves choosing the mobile racks for item picking, ...
