Production and Operations Management

最新文章

• The Impact of Verbal and Visual Content on Consumer Engagement in Social Media Marketing AI翻译
  作者：Liu, Lei; Wang, Yingfei; Fang, Zhen; Wu, Shaohui
  作者单位：Central University of Finance & Economics; University of Washington; University of Washington Seattle; Fudan University; Harbin Institute of Technology
  摘要：Social media marketing has been relentlessly developed and integrated into firm operations. On social media platforms, firms rely on a combination of verbal and visual elements to communicate with consumers and attract their attention. The present research investigates how the semantic relationship between text and image information affects consumer engagement (forwards and comments). Leveraging a large-scale dataset of firm-generated messages, we use deep learning, large language models, and ...
• Value-Partitioning of Sales Contribution in Business Markets AI翻译
  作者：Shi, Huanhuan; Sridhar, Shrihari; Grewal, Rajdeep
  作者单位：Texas A&M University System; Texas A&M University College Station; Mays Business School; University of North Carolina; University of North Carolina Chapel Hill; University of North Carolina School of Medicine
  摘要：In business markets, sales from customers are often jointly determined by multiple roles, yet firms struggle to quantify individual contribution of each role and the synergies among them. This study applies a value-partitioning approach to separate the sales contributions of customer-focused outside (OS) representatives (reps) and operations-focused inside (IS) reps, and their synergistic effects. It leverages variations in OS-IS combinations to generate individual-level value-added metrics, a...
• Lead Time Prediction for Inventory Optimization With Machine Learning AI翻译
  作者：Reiners, Robin; Haubitz, Christiane B.; Thonemann, Ulrich W.
  作者单位：University of Cologne
  摘要：Modern decision-support applications build on planning parameters such as lead time, price, yield, etc., which are maintained as master data. The accuracy of master data significantly influences the viability of such applications. However, the maintenance of master data is considered a tedious and error-prone task. In this study, we explore the effectiveness of machine learning techniques to improve the accuracy of plan lead times. We apply both unsupervised and supervised learning methods for...
• Quality, Necessity, or Accessibility? Impact of Dockless Bike Sharing on Ineffective Use of Medical Resources AI翻译
  作者：Xu, Haifeng; Xiang, Yidan; Ding, Yi; Zhang, Pengzhu; Tan, Bernard C. Y.; Gopal, Ram
  作者单位：Shanghai Jiao Tong University; National University of Singapore; University of Warwick
  摘要：In recent years, patients have increasing autonomy in medical decision-making. With great autonomy in selecting medical institutions, patients with low-risk diseases may opt for treatment in prestigious hospitals, which limits the access of patients with high-risk diseases to these hospitals. Moreover, due to limited medical knowledge and a fear of uncertainty regarding diseases, patients with greater medical autonomy may request various unnecessary medical tests to alleviate their health-rela...
• Optimal Payment for Dynamic Treatment Regimes AI翻译
  作者：Gao, Long; Zhang, Wei; Chen, Youhua Frank; Fei, Xinyue
  作者单位：University of California System; University of California Riverside; Zhejiang University; City University of Hong Kong
  摘要：Dynamic treatment regimes improve health outcomes by tailoring each treatment to a patient's evolving condition, but they also allow providers to learn and game the system over time. How should insurers pay? We study this new class of reimbursement problems, where the provider can privately learn and manipulate the progression of the patient's condition. (i) We characterize the optimal payment policy: it internalizes two intertemporal effects of each treatment, and rewards provider honesty wit...
• Concentration in Academic Publishing and Journal Impact: A Descriptive Assessment of Top 46 Business Journals AI翻译
  作者：Zavadskiy, Gleb; Muniasamy, Ilango Guru; Mithas, Sunil
  作者单位：Auburn University System; Auburn University Montgomery; Auburn University; State University System of Florida; University of South Florida
  摘要：This study assesses concentration of the top 50 universities (T50 concentration) in premier business journals and its correlation with journal impact metrics. We use 2008-2022 data from the Web of Science and Clarivate Analytics, focusing on 46 business journals from the University of Texas at Dallas (UTD 24) and Financial Times (FT 50) lists to document several findings. First, we find that the top 50 institutions, representing less than 0.5% of business schools globally, contribute a disprop...
• The impact of supply base geographical distance and dispersion on product quality risks: Evidence from the Chinese automobile industry AI翻译
  作者：Li, Huashan; Bapuji, Hari; Talluri, Srinivas; Singh, Prakash J.; Venkataraman, Sriram
  作者单位：Deakin University; University of Melbourne; Michigan State University; Michigan State University's Broad College of Business; University of South Carolina System; University of South Carolina Columbia
  摘要：Prior research on supply chain geographical complexity has predominantly treated geographical distance and geographical dispersion as interchangeable concepts. Further, nearly all empirical studies examining supply chain antecedents of product quality risks used samples from Western, educated, industrialized, rich, and democratic (WEIRD) countries. To improve the theoretical and practical insights from this stream of research, we theorize that, particularly for manufacturers in emerging market...
• Deriving competitive intelligence from multifaceted user behavior data: An interpretable machine learning framework AI翻译
  作者：Qian, Yang; Che, Hai; Liu, Yezheng; Jiang, Yuanchun; Shang, Jennifer
  作者单位：Hefei University of Technology; Pennsylvania Commonwealth System of Higher Education (PCSHE); University of Pittsburgh
  摘要：Competitive intelligence is essential for operations management decision-making. Beyond traditional offline information channels, firms increasingly gather online data and resources to generate comprehensive competitive intelligence. This study derives competitive intelligence in large markets by developing an interpretable machine learning framework that integrates multifaceted user behavior data, including user favorites, user-commented products, and user textual comments. Considering the co...
• No News About Climate Action is Good News for Low-Polluting Firms AI翻译
  作者：Safaei, Nima; Pant, Gautam
  作者单位：University System of Ohio; Ohio State University; University of Illinois System; University of Illinois Urbana-Champaign
  摘要：Media plays a crucial role in shaping public perception of firms, significantly impacting their operations and performance. Firms often attempt to influence media channels to showcase their climate action initiatives, aiming to enhance their public image, reputation, and stakeholder trust. While firms cannot directly control their media coverage, intentional or unintentional dissemination of their climate action efforts can thrust them into the media spotlight. The implications of this media s...
• Competitive Markovian pricing AI翻译
  作者：Du, Haokun; Hu, Bin; Katok, Elena
  作者单位：University of Auckland; University of Texas Dallas; University of Texas System; University of Texas Dallas
  摘要：Dynamic pricing is often complicated by strategic customer behavior. One tactic utilized by retailers to manage strategic customer behavior, known as Markovian pricing, is to offer price discounts at random intervals to prevent customers from predicting when the next discount will occur, thereby simplifying their strategic waiting behavior. In this article, we study Markovian pricing in competitive settings. We show that retailers can effectively adopt Markovian pricing in competitive environm...