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A bane or a boon? impacts of IoT cyber-defense improvement in e-commerce channel

Author

Listed:
  • Zibin Cui

    (Guangdong University of Technology)

  • Chengming Du

    (Guangdong University of Technology)

  • You Zhao

    (Guangdong University of Technology)

  • Rui Hou

    (Guangdong University of Technology)

  • Zhonghui Ding

    (Guangdong University of Technology)

Abstract

Manufacturers employ platforms’ IoT infrastructure services to produce IoT products and sell them through these platforms. However, consumer data stored within the IoT infrastructure is susceptible to cyber-security risks. Government regulations mandate that platforms invest in IoT cyber-defense improvements, necessitating supply chain collaboration. Motivated by this observation, this study seeks to determine when platforms should enhance IoT cyber-defense levels and assess the impact of such improvements on the e-commerce supply chain under government regulations. We develop a stylized game-theoretic model and conduct a comparative analysis to investigate firms’ equilibrium decisions. Numerical studies are also performed to validate our results. Our findings reveal that setting a higher IoT functionality level benefits manufacturers through enhanced cyber-defense. Additionally, even when the cost of cyber-defense improvement is negligible, platforms may not economically benefit from such improvements if the unit penalty is high and defense efforts are low. Finally, we find that cyber-defense improvements can generate a win-win outcome for manufacturers, platforms, and consumers when defense efforts are high and the cost of improvement is low. Our results suggest that manufacturers should invest more in IoT when cyber-security risks are effectively mitigated. Platforms must carefully weigh the penalty, defense level, and cyber-defense improvement costs in their cyber-security investments. Furthermore, to ensure that cyber-defense improvements benefit social welfare, governments are advised to judiciously set penalties, particularly when defense levels are low.

Suggested Citation

  • Zibin Cui & Chengming Du & You Zhao & Rui Hou & Zhonghui Ding, 2025. "A bane or a boon? impacts of IoT cyber-defense improvement in e-commerce channel," Operations Management Research, Springer, vol. 18(2), pages 668-690, June.
  • Handle: RePEc:spr:opmare:v:18:y:2025:i:2:d:10.1007_s12063-024-00514-z
    DOI: 10.1007/s12063-024-00514-z
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    References listed on IDEAS

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    1. Zhang, Guoqing & Shang, Xiaoting & Alawneh, Fawzat & Yang, Yiqin & Nishi, Tatsushi, 2021. "Integrated production planning and warehouse storage assignment problem: An IoT assisted case," International Journal of Production Economics, Elsevier, vol. 234(C).
    2. Maxime C. Cohen, 2018. "Big Data and Service Operations," Production and Operations Management, Production and Operations Management Society, vol. 27(9), pages 1709-1723, September.
    3. Yu, Lili & He, Xiuli & Zhang, Juan & Xu, Chuanyong, 2021. "Horizontal cooperative advertising with advertising threshold effects," Omega, Elsevier, vol. 98(C).
    4. Qiu, Xuan & Luo, Hao & Xu, Gangyan & Zhong, Runyang & Huang, George Q., 2015. "Physical assets and service sharing for IoT-enabled Supply Hub in Industrial Park (SHIP)," International Journal of Production Economics, Elsevier, vol. 159(C), pages 4-15.
    5. Soroush Saghafian & Brian Tomlin & Stephan Biller, 2022. "The Internet of Things and Information Fusion: Who Talks to Who?," Manufacturing & Service Operations Management, INFORMS, vol. 24(1), pages 333-351, January.
    6. T. Tony Ke & K. Sudhir, 2023. "Privacy Rights and Data Security: GDPR and Personal Data Markets," Management Science, INFORMS, vol. 69(8), pages 4389-4412, August.
    7. Khouzani, MHR. & Liu, Zhengliang & Malacaria, Pasquale, 2019. "Scalable min-max multi-objective cyber-security optimisation over probabilistic attack graphs," European Journal of Operational Research, Elsevier, vol. 278(3), pages 894-903.
    8. Can Sun & Yonghua Ji, 2022. "For Better or For Worse: Impacts of IoT Technology in e‐Commerce Channel," Production and Operations Management, Production and Operations Management Society, vol. 31(3), pages 1353-1371, March.
    9. Zhang, Xuefeng & Li, Guo & Liu, Mengqi & Sethi, Suresh P., 2021. "Online platform service investment: A bane or a boon for supplier encroachment," International Journal of Production Economics, Elsevier, vol. 235(C).
    10. Bin Shen & Ciwei Dong & Stefan Minner, 2022. "Combating Copycats in the Supply Chain with Permissioned Blockchain Technology," Production and Operations Management, Production and Operations Management Society, vol. 31(1), pages 138-154, January.
    11. Eling, Martin & Wirfs, Jan, 2019. "What are the actual costs of cyber risk events?," European Journal of Operational Research, Elsevier, vol. 272(3), pages 1109-1119.
    12. Liu, Yajie & Dong, Feng, 2022. "What are the roles of consumers, automobile production enterprises, and the government in the process of banning gasoline vehicles? Evidence from a tripartite evolutionary game model," Energy, Elsevier, vol. 238(PC).
    13. 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.
    14. Nie, Fapeng & Li, Xiang & Zhou, Chang, 2024. "Impact of privacy regulation involving information collection on the ride-hailing market," Omega, Elsevier, vol. 126(C).
    15. 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).
    16. Samayita Guha & Subodha Kumar, 2018. "Emergence of Big Data Research in Operations Management, Information Systems, and Healthcare: Past Contributions and Future Roadmap," Production and Operations Management, Production and Operations Management Society, vol. 27(9), pages 1724-1735, September.
    17. Yanjie Liang & Weihua Liu & Kevin W. Li & Chuanwen Dong & Ming K. Lim, 2023. "A co‐opetitive game analysis of platform compatibility strategies under add‐on services," Production and Operations Management, Production and Operations Management Society, vol. 32(11), pages 3541-3558, November.
    18. Paul, Jomon A. & Zhang, Minjiao, 2021. "Decision support model for cybersecurity risk planning: A two-stage stochastic programming framework featuring firms, government, and attacker," European Journal of Operational Research, Elsevier, vol. 291(1), pages 349-364.
    19. Chen, Yi-Ting & Sun, Edward W. & Chang, Ming-Feng & Lin, Yi-Bing, 2021. "Pragmatic real-time logistics management with traffic IoT infrastructure: Big data predictive analytics of freight travel time for Logistics 4.0," International Journal of Production Economics, Elsevier, vol. 238(C).
    20. Michael R. Baye & David E. M. Sappington, 2020. "Revealing transactions data to third parties: Implications of privacy regimes for welfare in online markets," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 29(2), pages 260-275, April.
    21. Yushi Tsunoda & Yusuke Zennyo, 2021. "Platform Information Transparency and Effects on Third‐Party Suppliers and Offline Retailers," Production and Operations Management, Production and Operations Management Society, vol. 30(11), pages 4219-4235, November.
    22. Qian Tang & Andrew B. Whinston, 2020. "Do Reputational Sanctions Deter Negligence in Information Security Management? A Field Quasi‐Experiment," Production and Operations Management, Production and Operations Management Society, vol. 29(2), pages 410-427, February.
    23. Mohammadreza Akbari & John L. Hopkins, 2022. "Digital technologies as enablers of supply chain sustainability in an emerging economy," Operations Management Research, Springer, vol. 15(3), pages 689-710, December.
    24. Nagurney, Anna & Shukla, Shivani, 2017. "Multifirm models of cybersecurity investment competition vs. cooperation and network vulnerability," European Journal of Operational Research, Elsevier, vol. 260(2), pages 588-600.
    25. Chen, Jingxian & Liang, Liang & Yao, Dong-Qing & Sun, Shengnan, 2017. "Price and quality decisions in dual-channel supply chains," European Journal of Operational Research, Elsevier, vol. 259(3), pages 935-948.
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