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Big Data and Service Operations

Citations

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Cited by:

  1. Li, Lixu & Zhu, Wenwen & Wei, Long & Yang, Shuili, 2022. "How can digital collaboration capability boost service innovation? Evidence from the information technology industry," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
  2. Xiahua Wei & Ming Fan & Weijia You & Yong Tan, 2021. "An Empirical Study of the Dynamic and Differential Effects of Prefunding," Production and Operations Management, Production and Operations Management Society, vol. 30(5), pages 1331-1349, May.
  3. Van Nguyen, Truong & Zhang, Jie & Zhou, Li & Meng, Meng & He, Yong, 2020. "A data-driven optimization of large-scale dry port location using the hybrid approach of data mining and complex network theory," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 134(C).
  4. Manjul Gupta & Amulya Gupta & Karlene Cousins, 2022. "Toward the understanding of the constituents of organizational culture: The embedded topic modeling analysis of publicly available employee‐generated reviews of two major U.S.‐based retailers," Production and Operations Management, Production and Operations Management Society, vol. 31(10), pages 3668-3686, October.
  5. Dieudonné Tchuente & Serge Nyawa, 2022. "Real estate price estimation in French cities using geocoding and machine learning," Annals of Operations Research, Springer, vol. 308(1), pages 571-608, January.
  6. Debjit Roy & Eirini Spiliotopoulou & Jelle de Vries, 2022. "Restaurant analytics: Emerging practice and research opportunities," Production and Operations Management, Production and Operations Management Society, vol. 31(10), pages 3687-3709, October.
  7. Peter Seele & Claus Dierksmeier & Reto Hofstetter & Mario D. Schultz, 2021. "Mapping the Ethicality of Algorithmic Pricing: A Review of Dynamic and Personalized Pricing," Journal of Business Ethics, Springer, vol. 170(4), pages 697-719, May.
  8. Morshadul Hasan & Ariful Hoque & Thi Le, 2023. "Big Data-Driven Banking Operations: Opportunities, Challenges, and Data Security Perspectives," FinTech, MDPI, vol. 2(3), pages 1-26, July.
  9. Wang, Qiang & Ji, Xiang & Zhao, Nenggui, 2024. "Embracing the power of AI in retail platform operations: Considering the showrooming effect and consumer returns," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 182(C).
  10. Birch-Jensen, Andrea & Gremyr, Ida & Halldórsson, Árni, 2020. "Digitally connected services: Improvements through customer-initiated feedback," European Management Journal, Elsevier, vol. 38(5), pages 814-825.
  11. Shang, Yuping & Raza, Syed Ali & Huo, Zhe & Shahzad, Umer & Zhao, Xin, 2023. "Does enterprise digital transformation contribute to the carbon emission reduction? Micro-level evidence from China," International Review of Economics & Finance, Elsevier, vol. 86(C), pages 1-13.
  12. Sulin Ba & Shu He & Shun‐Yang Lee, 2022. "Mobile App Adoption and Its Differential Impact on Consumer Shopping Behavior," Production and Operations Management, Production and Operations Management Society, vol. 31(2), pages 764-780, February.
  13. Zhuoxin Li & Jason A. Duan & Sam Ransbotham, 2020. "Coordination and Dynamic Promotion Strategies in Crowdfunding with Network Externalities," Production and Operations Management, Production and Operations Management Society, vol. 29(4), pages 1032-1049, April.
  14. Feifei Han & Jiao Guan, 2024. "Investment in Data Analytics with Manufacturer Encroachment," Mathematics, MDPI, vol. 12(9), pages 1-18, April.
  15. 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.
  16. Luo, Suyuan & Lin, Xudong & Zheng, Zunxin, 2019. "A novel CNN-DDPG based AI-trader: Performance and roles in business operations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 131(C), pages 68-79.
  17. Xia, Liangjie & Li, Kang & Wang, Jun & Xia, Yi & Qin, Juanjuan, 2024. "Carbon emission reduction and precision marketing decisions of a platform supply chain," International Journal of Production Economics, Elsevier, vol. 268(C).
  18. Martin Schymanietz & Julia M. Jonas & Kathrin M. Möslein, 2022. "Exploring data-driven service innovation—aligning perspectives in research and practice," Journal of Business Economics, Springer, vol. 92(7), pages 1167-1205, September.
  19. Li, Dan & Liu, Yongmei & Hu, Junhua & Chen, Xiaohong, 2021. "Private-brand introduction and investment effect on online platform-based supply chains," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 155(C).
  20. Meng Li & Tao Li, 2022. "AI Automation and Retailer Regret in Supply Chains," Production and Operations Management, Production and Operations Management Society, vol. 31(1), pages 83-97, January.
  21. Liu, Weihua & Yan, Xiaoyu & Li, Xiang & Wei, Wanying, 2020. "The impacts of market size and data-driven marketing on the sales mode selection in an Internet platform based supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 136(C).
  22. Ke Li & Gengxin Dai & Yanfei Xia & Zongyu Mu & Guitao Zhang & Yangyan Shi, 2022. "Green Technology Investment with Data-Driven Marketing and Government Subsidy in a Platform Supply Chain," Sustainability, MDPI, vol. 14(7), pages 1-22, March.
  23. Somohano-Rodríguez, Francisco M. & Madrid-Guijarro, Antonia, 2022. "Do industry 4.0 technologies improve Cantabrian manufacturing smes performance? The role played by industry competition," Technology in Society, Elsevier, vol. 70(C).
  24. Li, Lixu & Ye, Fei & Zhan, Yuanzhu & Kumar, Ajay & Schiavone, Francesco & Li, Yina, 2022. "Unraveling the performance puzzle of digitalization: Evidence from manufacturing firms," Journal of Business Research, Elsevier, vol. 149(C), pages 54-64.
  25. Suyuan Luo & Tsan‐Ming Choi, 2022. "E‐commerce supply chains with considerations of cyber‐security: Should governments play a role?," Production and Operations Management, Production and Operations Management Society, vol. 31(5), pages 2107-2126, May.
  26. 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.
  27. Sunil Mithas & Zhi‐Long Chen & Terence J.V. Saldanha & Alysson De Oliveira Silveira, 2022. "How will artificial intelligence and Industry 4.0 emerging technologies transform operations management?," Production and Operations Management, Production and Operations Management Society, vol. 31(12), pages 4475-4487, December.
  28. Xue Wang & Jiayuan Zhang & Deqing Ma & Hao Sun, 2023. "Green Agricultural Products Supply Chain Subsidy Scheme with Green Traceability and Data-Driven Marketing of the Platform," IJERPH, MDPI, vol. 20(4), pages 1-29, February.
  29. Shengsheng Xiao & Yi‐Chun (Chad) Ho & Hai Che, 2021. "Building the Momentum: Information Disclosure and Herding in Online Crowdfunding," Production and Operations Management, Production and Operations Management Society, vol. 30(9), pages 3213-3230, September.
  30. Sergey Naumov & David Keith, 2023. "Optimizing the economic and environmental benefits of ride‐hailing and pooling," Production and Operations Management, Production and Operations Management Society, vol. 32(3), pages 904-929, March.
  31. 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).
  32. 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.
  33. Tian , Xiaoguang & Prybutok, Victor & Mirzaei, Fouad & Dinulescu, Catalin C., 2020. "Millennials Acceptance of Insurance Telematics: An Integrative Empirical Study," American Business Review, Pompea College of Business, University of New Haven, vol. 23(1), pages 156-181, May.
  34. Zongyu Mu & Qiujie Li & Gengxin Dai & Ke Li & Guangming Zhang & Fan Zhang, 2022. "Government Subsidy Policy and Online Selling Strategy in a Platform Supply Chain with Green R&D and DDM Activities," Sustainability, MDPI, vol. 14(15), pages 1-23, August.
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