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How Research in Production and Operations Management May Evolve in the Era of Big Data

Citations

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Cited by:

  1. Martin, Simon & Rasch, Alexander, 2024. "Demand forecasting, signal precision, and collusion with hidden actions," International Journal of Industrial Organization, Elsevier, vol. 92(C).
  2. Schniederjans, Dara G. & Curado, Carla & Khalajhedayati, Mehrnaz, 2020. "Supply chain digitisation trends: An integration of knowledge management," International Journal of Production Economics, Elsevier, vol. 220(C).
  3. Jinzhi Bu & David Simchi-Levi & Li Wang, 2023. "Offline Pricing and Demand Learning with Censored Data," Management Science, INFORMS, vol. 69(2), pages 885-903, February.
  4. Long He & Sheng Liu & Zuo‐Jun Max Shen, 2022. "Smart urban transport and logistics: A business analytics perspective," Production and Operations Management, Production and Operations Management Society, vol. 31(10), pages 3771-3787, October.
  5. Zhen-Yu Chen & Zhi-Ping Fan & Minghe Sun, 2023. "Machine Learning Methods for Data-Driven Demand Estimation and Assortment Planning Considering Cross-Selling and Substitutions," INFORMS Journal on Computing, INFORMS, vol. 35(1), pages 158-177, January.
  6. Rizwan Abbas & Gehad Abdullah Amran & Irshad Hussain & Shengjun Ma, 2022. "A Soft Computing View for the Scientific Categorization of Vegetable Supply Chain Issues," Logistics, MDPI, vol. 6(3), pages 1-17, June.
  7. Delgosha, Mohammad Soltani & Hajiheydari, Nastaran & Talafidaryani, Mojtaba, 2022. "Discovering IoT implications in business and management: A computational thematic analysis," Technovation, Elsevier, vol. 118(C).
  8. Yang, Cheng-Hu & Wang, Hai-Tang & Ma, Xin & Talluri, Srinivas, 2023. "A data-driven newsvendor problem: A high-dimensional and mixed-frequency method," International Journal of Production Economics, Elsevier, vol. 266(C).
  9. Mikko Ketokivi & Joseph T. Mahoney, 2020. "Transaction Cost Economics As a Theory of Supply Chain Efficiency," Production and Operations Management, Production and Operations Management Society, vol. 29(4), pages 1011-1031, April.
  10. Liangfei Qiu & Yili (Kevin) Hong & Andrew Whinston, 2022. "Special Issue of Production and Operations Management “Social Technologies in Operations”," Production and Operations Management, Production and Operations Management Society, vol. 31(2), pages 868-869, February.
  11. Liu, Weihua & George Shanthikumar, J. & Tae-Woo Lee, Paul & Li, Xiang & Zhou, Li, 2021. "Special issue editorial: Smart supply chains and intelligent logistics services," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 147(C).
  12. Boxiao Chen & Xiuli Chao, 2020. "Dynamic Inventory Control with Stockout Substitution and Demand Learning," Management Science, INFORMS, vol. 66(11), pages 5108-5127, November.
  13. Škare, Marinko & Gavurova, Beata & Porada-Rochon, Malgorzata, 2024. "Digitalization and carbon footprint: Building a path to a sustainable economic growth," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
  14. Simon Martin & Alexander Rasch, 2022. "Collusion by Algorithm: The Role of Unobserved Actions," CESifo Working Paper Series 9629, CESifo.
  15. Feifei Han & Jiao Guan, 2024. "Investment in Data Analytics with Manufacturer Encroachment," Mathematics, MDPI, vol. 12(9), pages 1-18, April.
  16. Yi‐Jen (Ian) Ho & Siyuan Liu & Jingchuan Pu & Dian Zhang, 2022. "Is it all about you or your driving? Designing IoT‐enabled risk assessments," Production and Operations Management, Production and Operations Management Society, vol. 31(11), pages 4205-4222, November.
  17. Maximilian Klöckner & Christoph G. Schmidt & Stephan M. Wagner, 2022. "When Blockchain Creates Shareholder Value: Empirical Evidence from International Firm Announcements," Production and Operations Management, Production and Operations Management Society, vol. 31(1), pages 46-64, January.
  18. Brieger, Steven A. & Chowdhury, Farzana & Hechavarría, Diana M. & Muralidharan, Etayankara & Pathak, Saurav & Lam, Yan Tong, 2022. "Digitalization, institutions and new venture internationalization," Journal of International Management, Elsevier, vol. 28(4).
  19. Khosrowabadi, Naghmeh & Hoberg, Kai & Imdahl, Christina, 2022. "Evaluating human behaviour in response to AI recommendations for judgemental forecasting," European Journal of Operational Research, Elsevier, vol. 303(3), pages 1151-1167.
  20. Subodha Kumar & Rakesh R. Mallipeddi, 2022. "Impact of cybersecurity on operations and supply chain management: Emerging trends and future research directions," Production and Operations Management, Production and Operations Management Society, vol. 31(12), pages 4488-4500, December.
  21. Zhe (James) Zhang & Shivendu Shivendu & Peng Wang, 2021. "Is Investment in Data Analytics Always Profitable? The Case of Third‐Party‐Online‐Promotion Marketplace," Production and Operations Management, Production and Operations Management Society, vol. 30(7), pages 2321-2337, July.
  22. Xinxue (Shawn) Qu & Aslan Lotfi & Dipak C. Jain & Zhengrui Jiang, 2022. "Predicting upgrade timing for successive product generations: An exponential‐decay proportional hazard model," Production and Operations Management, Production and Operations Management Society, vol. 31(5), pages 2067-2083, May.
  23. Kraus, Mathias & Feuerriegel, Stefan & Oztekin, Asil, 2020. "Deep learning in business analytics and operations research: Models, applications and managerial implications," European Journal of Operational Research, Elsevier, vol. 281(3), pages 628-641.
  24. Maria De‐Arteaga & Stefan Feuerriegel & Maytal Saar‐Tsechansky, 2022. "Algorithmic fairness in business analytics: Directions for research and practice," Production and Operations Management, Production and Operations Management Society, vol. 31(10), pages 3749-3770, October.
  25. Kyungmin Park & Stephanie Lee & Shahryar Doosti & Yong Tan, 2023. "Provision of helpful review videos: Effects of video characteristics on perceived helpfulness," Production and Operations Management, Production and Operations Management Society, vol. 32(7), pages 2031-2048, July.
  26. Xu, Jinou & Pero, Margherita & Fabbri, Margherita, 2023. "Unfolding the link between big data analytics and supply chain planning," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
  27. Zhang, Chu & Zheng, Xiaona, 2021. "Customization strategies between online and offline retailers," Omega, Elsevier, vol. 100(C).
  28. Peng Liang & Hasan Cavusoglu & Nan Hu, 2023. "Customers’ managerial expectations and suppliers’ asymmetric cost management," Production and Operations Management, Production and Operations Management Society, vol. 32(6), pages 1975-1993, June.
  29. Ren, Ting-hai & Zeng, Neng-min & Wang, Da-fei & Yuan, Kai-fu, 2023. "Authorization or encroachment: Effects of channel encroachment on decisions and performance in software service supply chains," International Journal of Production Economics, Elsevier, vol. 257(C).
  30. Görkem Sariyer & Mustafa Gokalp Ataman & Sachin Kumar Mangla & Yigit Kazancoglu & Manoj Dora, 2023. "Big data analytics and the effects of government restrictions and prohibitions in the COVID-19 pandemic on emergency department sustainable operations," Annals of Operations Research, Springer, vol. 328(1), pages 1073-1103, September.
  31. Zhao-Zhen Zhu & Yue Chen & Jiang Zhao & Zhu-Ying Yu, 2023. "Intelligent Manufacturing and Value Creation in Enterprises: Lessons from a Quasi-Natural Experiment in a Chinese Demonstration Project," Sustainability, MDPI, vol. 15(15), pages 1-17, July.
  32. Martin, Simon & Rasch, Alexander, 2022. "Collusion by algorithm: The role of unobserved actions," DICE Discussion Papers 382, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
  33. Jason R. W. Merrick & Claire A. Dorsey & Bo Wang & Martha Grabowski & John R. Harrald, 2022. "Measuring Prediction Accuracy in a Maritime Accident Warning System," Production and Operations Management, Production and Operations Management Society, vol. 31(2), pages 819-827, February.
  34. Yan, Ran & Liu, Yan & Wang, Shuaian, 2024. "A data-driven optimization approach to improving maritime transport efficiency," Transportation Research Part B: Methodological, Elsevier, vol. 180(C).
  35. Acciarini, Chiara & Cappa, Francesco & Boccardelli, Paolo & Oriani, Raffaele, 2023. "How can organizations leverage big data to innovate their business models? A systematic literature review," Technovation, Elsevier, vol. 123(C).
  36. Oliver Schaer & Nikolaos Kourentzes & Robert Fildes, 2022. "Predictive competitive intelligence with prerelease online search traffic," Production and Operations Management, Production and Operations Management Society, vol. 31(10), pages 3823-3839, October.
  37. Boone, Tonya & Ganeshan, Ram & Jain, Aditya & Sanders, Nada R., 2019. "Forecasting sales in the supply chain: Consumer analytics in the big data era," International Journal of Forecasting, Elsevier, vol. 35(1), pages 170-180.
  38. Shao, Xiao-Feng, 2020. "What is the right production strategy for horizontally differentiated product: Standardization or mass customization?," International Journal of Production Economics, Elsevier, vol. 223(C).
  39. Robert P. Rooderkerk & Nicole DeHoratius & Andrés Musalem, 2022. "The past, present, and future of retail analytics: Insights from a survey of academic research and interviews with practitioners," Production and Operations Management, Production and Operations Management Society, vol. 31(10), pages 3727-3748, October.
  40. Na Zhang & Karthik Kannan & George Shanthikumar, 2021. "Nudging a Slow‐Moving High‐Margin Product in a Supply Chain with Constrained Capacity," Production and Operations Management, Production and Operations Management Society, vol. 30(1), pages 11-27, January.
  41. de Jonge, Bram & Scarf, Philip A., 2020. "A review on maintenance optimization," European Journal of Operational Research, Elsevier, vol. 285(3), pages 805-824.
  42. Mengshi Lu & Zuo‐Jun Max Shen, 2021. "A Review of Robust Operations Management under Model Uncertainty," Production and Operations Management, Production and Operations Management Society, vol. 30(6), pages 1927-1943, June.
  43. Gür Ali, Özden & Gürlek, Ragıp, 2020. "Automatic Interpretable Retail forecasting with promotional scenarios," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1389-1406.
  44. Lei Xu & Runpeng Gao & Yu Xie & Peng Du, 2019. "To Be or Not to Be? Big Data Business Investment Decision-Making in the Supply Chain," Sustainability, MDPI, vol. 11(8), pages 1-14, April.
  45. Shaochong Lin & Youhua (Frank) Chen & Yanzhi Li & Zuo‐Jun Max Shen, 2022. "Data‐Driven Newsvendor Problems Regularized by a Profit Risk Constraint," Production and Operations Management, Production and Operations Management Society, vol. 31(4), pages 1630-1644, April.
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