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Platform Service Supply Chain Network Equilibrium Model with Data Empowerment

Author

Listed:
  • Yongtao Peng

    (School of Management, Jiangsu University, Zhenjiang 212013, China)

  • Bohai Chen

    (School of Management, Jiangsu University, Zhenjiang 212013, China)

  • Eleonora Veglianti

    (Faculty of Management, Economy and Sciences, University Catholic of Lille, 59800 Lille, France)

Abstract

With the rapid development of information and communication technology, data empowerment has become an important way for platform service supply chain (PSSC) members to obtain a competitive advantage. Based on the three-level PSSC network structure composed of service providers, platform operators, and demand markets, this paper assumes that platform operators empower service providers to improve service quality, and PSSC members invest in data security risk control. Then, using variational inequality and equilibrium theory, a supply chain network equilibrium model considering data empowerment is constructed, and the equilibrium conditions of the whole network are obtained. Based on numerical examples, this paper analyzes the impact of the sensitivity of the demand market to service quality, the relative importance of service providers’ service quality improvement level, the data empowerment cost of PSSC members, and the data security risk control investment of PSSC members on the equilibrium state of the supply chain network. The results show the following: because the service quality is produced by the cooperation between service providers and platform operators, platform operators may have free-riding behavior and are only willing to invest a fixed data empowerment cost to ensure the essential service quality; data security risk control investment is an important factor affecting service sales; and when supply chain network members reduce data security risk control investment, consumers’ willingness to pay for services will be reduced, resulting in a decline in the overall profit of the supply chain network.

Suggested Citation

  • Yongtao Peng & Bohai Chen & Eleonora Veglianti, 2022. "Platform Service Supply Chain Network Equilibrium Model with Data Empowerment," Sustainability, MDPI, vol. 14(9), pages 1-21, April.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:9:p:5419-:d:806510
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    References listed on IDEAS

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    1. Liu, Weihua & Long, Shangsong & Xie, Dong & Liang, Yanjie & Wang, Jinkun, 2021. "How to govern the big data discriminatory pricing behavior in the platform service supply chain?An examination with a three-party evolutionary game model," International Journal of Production Economics, Elsevier, vol. 231(C).
    2. Nagurney, Anna & Saberi, Sara & Shukla, Shivani & Floden, Jonas, 2015. "Supply chain network competition in price and quality with multiple manufacturers and freight service providers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 77(C), pages 248-267.
    3. Jiaru Bai & Kut C. So & Christopher S. Tang & Xiqun (Michael) Chen & Hai Wang, 2019. "Coordinating Supply and Demand on an On-Demand Service Platform with Impatient Customers," Manufacturing & Service Operations Management, INFORMS, vol. 21(3), pages 556-570, July.
    4. 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).
    5. Zhang, Guangming & Dai, Gengxin & Sun, Hao & Zhang, Guitao & Yang, Zhilin, 2020. "Equilibrium in supply chain network with competition and service level between channels considering consumers' channel preferences," Journal of Retailing and Consumer Services, Elsevier, vol. 57(C).
    6. Prentice, Catherine & Wang, Xuequn & Loureiro, Sandra Maria Correia, 2019. "The influence of brand experience and service quality on customer engagement," Journal of Retailing and Consumer Services, Elsevier, vol. 50(C), pages 50-59.
    7. Weihua Liu & Xinran Shen & Di Wang, 2020. "The impacts of dual overconfidence behavior and demand updating on the decisions of port service supply chain: a real case study from China," Annals of Operations Research, Springer, vol. 291(1), pages 565-604, August.
    8. Dong, June & Zhang, Ding & Nagurney, Anna, 2004. "A supply chain network equilibrium model with random demands," European Journal of Operational Research, Elsevier, vol. 156(1), pages 194-212, July.
    9. Choi, Tsan-Ming & Feng, Lipan & Li, Rong, 2020. "Information disclosure structure in supply chains with rental service platforms in the blockchain technology era," International Journal of Production Economics, Elsevier, vol. 221(C).
    10. He, Peng & He, Yong & Tang, Xiaoying & Ma, Shigui & Xu, Henry, 2022. "Channel encroachment and logistics integration strategies in an e-commerce platform service supply chain," International Journal of Production Economics, Elsevier, vol. 244(C).
    11. Anna Nagurney & Patrizia Daniele & Shivani Shukla, 2017. "A supply chain network game theory model of cybersecurity investments with nonlinear budget constraints," Annals of Operations Research, Springer, vol. 248(1), pages 405-427, January.
    12. Boakye, Kwabena G. & Natesan, Prathiba & Prybutok, Victor R., 2020. "A correlated uniqueness model of service quality measurement among users of cloud-based service platforms," Journal of Retailing and Consumer Services, Elsevier, vol. 55(C).
    13. Qin, Wei & Sun, Yan-Ning & Zhuang, Zi-Long & Lu, Zhi-Yao & Zhou, Yao-Ming, 2021. "Multi-agent reinforcement learning-based dynamic task assignment for vehicles in urban transportation system," International Journal of Production Economics, Elsevier, vol. 240(C).
    14. Yuhua Zhang & Mengdie Hu, 2021. "Research on the Relationship between Data Empowerment and Service Innovation Capability of Logistics Platform Enterprise," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-11, May.
    15. Liu, Zugang & Wang, Jia, 2019. "Supply chain network equilibrium with strategic supplier investment: A real options perspective," International Journal of Production Economics, Elsevier, vol. 208(C), pages 184-198.
    16. Brett Massimino & John V. Gray & Yingchao Lan, 2018. "On the Inattention to Digital Confidentiality in Operations and Supply Chain Research," Production and Operations Management, Production and Operations Management Society, vol. 27(8), pages 1492-1515, August.
    17. Haixiang Wu & Bing Xu & Ding Zhang, 2019. "Closed-Loop Supply Chain Network Equilibrium Model with Subsidy on Green Supply Chain Technology Investment," Sustainability, MDPI, vol. 11(16), pages 1-26, August.
    18. Yongtao Peng & Dan Xu & Yaya Li & Kun Wang, 2020. "A Product Service Supply Chain Network Equilibrium Model considering Capacity Constraints," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-15, November.
    19. Mengdi Zhang & Yufang Fu & Zhiheng Zhao & Saurabh Pratap & George Q. Huang, 2019. "Game theoretic analysis of horizontal carrier coordination with revenue sharing in E-commerce logistics," International Journal of Production Research, Taylor & Francis Journals, vol. 57(5), pages 1524-1551, March.
    20. Anna Nagurney & Dong Li & Tilman Wolf & Sara Saberi, 2013. "A network economic game theory model of a service-oriented internet with choices and quality competition," Netnomics, Springer, vol. 14(1), pages 1-25, November.
    21. Lin, Yong & Chen, Anlan & Yin, Yanhai & Li, Qing & Zhu, Qiaoni & Luo, Jing, 2021. "A framework for sustainable management of the platform service supply chain: An empirical study of the logistics sector in China," International Journal of Production Economics, Elsevier, vol. 235(C).
    22. Zhou, Yan & Chan, Chi Kin & Wong, Kar Hung, 2018. "A multi-period supply chain network equilibrium model considering retailers’ uncertain demands and dynamic loss-averse behaviors," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 118(C), pages 51-76.
    23. Joanna Ejdys & Aleksandra Gulc, 2020. "Trust in Courier Services and Its Antecedents as a Determinant of Perceived Service Quality and Future Intention to Use Courier Service," Sustainability, MDPI, vol. 12(21), pages 1-18, October.
    24. Nagurney, Anna & Dong, June & Zhang, Ding, 2002. "A supply chain network equilibrium model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 38(5), pages 281-303, September.
    25. Guillaume Roels & Uday S. Karmarkar & Scott Carr, 2010. "Contracting for Collaborative Services," Management Science, INFORMS, vol. 56(5), pages 849-863, May.
    26. Xiaofei Qian & Xinbao Liu & Jun Pei & Panos M. Pardalos, 2018. "A new game of information sharing and security investment between two allied firms," International Journal of Production Research, Taylor & Francis Journals, vol. 56(12), pages 4069-4086, June.
    27. Choi, Tsan-Ming & Guo, Shu & Liu, Na & Shi, Xiutian, 2020. "Optimal pricing in on-demand-service-platform-operations with hired agents and risk-sensitive customers in the blockchain era," European Journal of Operational Research, Elsevier, vol. 284(3), pages 1031-1042.
    28. Tsan‐Ming Choi & Stein W. Wallace & Yulan Wang, 2018. "Big Data Analytics in Operations Management," Production and Operations Management, Production and Operations Management Society, vol. 27(10), pages 1868-1883, October.
    29. Hossein Safari & Soheila Etezadi & Mohsen Moradi-Moghadam & Mohammad Reza Fathi, 2021. "Maturity evaluation of supply chain procedures by combining SCOR and PST models," International Journal of Process Management and Benchmarking, Inderscience Enterprises Ltd, vol. 11(5), pages 707-724.
    30. Anna Nagurney & Tilman Wolf, 2014. "A Cournot–Nash–Bertrand game theory model of a service-oriented Internet with price and quality competition among network transport providers," Computational Management Science, Springer, vol. 11(4), pages 475-502, October.
    31. Liu, Zugang & Wang, Jia, 2019. "Supply chain network equilibrium with strategic financial hedging using futures," European Journal of Operational Research, Elsevier, vol. 272(3), pages 962-978.
    32. Kim, Kibum & Baek, Chulwoo & Lee, Jeong-Dong, 2018. "Creative destruction of the sharing economy in action: The case of Uber," Transportation Research Part A: Policy and Practice, Elsevier, vol. 110(C), pages 118-127.
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    Cited by:

    1. Yongtao Peng & Hang Li, 2023. "A Rental Platform Service Supply Chain Network Equilibrium Model Considering Digital Detection Technology Investment and Big Data Marketing," Sustainability, MDPI, vol. 15(13), pages 1-19, June.

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