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Impact of privacy regulation involving information collection on the ride-hailing market

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  • Nie, Fapeng
  • Li, Xiang
  • Zhou, Chang

Abstract

Ride-hailing platforms can indirectly adjust privacy-sensitive customers’ demand via pricing and information collection strategies while encouraging drivers to provide services by offering an attractive wage rate. Since the privacy information collected by platforms brings some negative effects, governments enact privacy regulations to protect customer privacy. Inspired by this observation, our paper aims to investigate the impact of privacy regulations on different stakeholders in the ride-hailing market, including customers, drivers, platforms, and regulators. Specifically, we formulate two multi-stage Stackelberg models under the scenarios with/without privacy regulation, respectively, compare the equilibrium results under these two scenarios, and obtain several interesting findings. First, the partial-coverage pricing strategy is more likely to be adopted by platforms than the full-coverage pricing strategy as privacy regulations are enforced. Second, when customers are not too severely disturbed by advertising, the privacy regulation transfers information decision-making right from the ride-hailing platform to customers and utilizes customers’ self-interest to alleviate the negative impact of information collected by the platform; Otherwise, it seems somewhat “redundant”. Third, effective regulation improves information security at the expense of benefits of stakeholders (the customer, drivers, and platforms). Therefore, the decision-making about privacy regulation results from a trade-off between economic benefits and information security, suggesting that regulators should enforce privacy regulation only if the level of externalities is high enough. This meaningful criterion can provide theoretical support for the decision-making of regulators.

Suggested Citation

  • Nie, Fapeng & Li, Xiang & Zhou, Chang, 2024. "Impact of privacy regulation involving information collection on the ride-hailing market," Omega, Elsevier, vol. 126(C).
  • Handle: RePEc:eee:jomega:v:126:y:2024:i:c:s0305048324000446
    DOI: 10.1016/j.omega.2024.103077
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    as
    1. Gérard P. Cachon & Kaitlin M. Daniels & Ruben Lobel, 2017. "The Role of Surge Pricing on a Service Platform with Self-Scheduling Capacity," Manufacturing & Service Operations Management, INFORMS, vol. 19(3), pages 368-384, July.
    2. Rodrigo Montes & Wilfried Sand-Zantman & Tommaso Valletti, 2019. "The Value of Personal Information in Online Markets with Endogenous Privacy," Management Science, INFORMS, vol. 65(3), pages 1342-1362, March.
    3. Yunke Mai & Bin Hu & Saša Pekeč, 2023. "Courteous or Crude? Managing User Conduct to Improve On-Demand Service Platform Performance," Management Science, INFORMS, vol. 69(2), pages 996-1016, February.
    4. Chen, Xiqun (Michael) & Zheng, Hongyu & Ke, Jintao & Yang, Hai, 2020. "Dynamic optimization strategies for on-demand ride services platform: Surge pricing, commission rate, and incentives," Transportation Research Part B: Methodological, Elsevier, vol. 138(C), pages 23-45.
    5. Hu, Xinru & Zhou, Shuiyin & Luo, Xiaomeng & Li, Jianbin & Zhang, Chi, 2024. "Optimal pricing strategy of an on-demand platform with cross-regional passengers," Omega, Elsevier, vol. 122(C).
    6. Lin, Xiaogang & Sun, Cuiying & Cao, Bin & Zhou, Yong-Wu & Chen, Chuanying, 2021. "Should ride-sharing platforms cooperate with car-rental companies? Implications for consumer surplus and driver surplus," Omega, Elsevier, vol. 102(C).
    7. Li, Yanan & Li, Xiang & Zhang, Sicheng, 2021. "Optimal pricing of customized bus services and ride-sharing based on a competitive game model," Omega, Elsevier, vol. 103(C).
    8. Sun, Luoyi & Teunter, Ruud H. & Babai, M. Zied & Hua, Guowei, 2019. "Optimal pricing for ride-sourcing platforms," European Journal of Operational Research, Elsevier, vol. 278(3), pages 783-795.
    9. Congiu, Raffaele & Sabatino, Lorien & Sapi, Geza, 2022. "The Impact of Privacy Regulation on Web Traffic: Evidence From the GDPR," Information Economics and Policy, Elsevier, vol. 61(C).
    10. Avi Goldfarb & Catherine E. Tucker, 2011. "Privacy Regulation and Online Advertising," Management Science, INFORMS, vol. 57(1), pages 57-71, January.
    11. Choi, Jay Pil & Jeon, Doh-Shin & Kim, Byung-Cheol, 2019. "Privacy and personal data collection with information externalities," Journal of Public Economics, Elsevier, vol. 173(C), pages 113-124.
    12. Duan, Yongrui & Liu, Peng & Feng, Yixuan, 2022. "Pricing strategies of two-sided platforms considering privacy concerns," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
    13. Alnaggar, Aliaa & Gzara, Fatma & Bookbinder, James H., 2021. "Crowdsourced delivery: A review of platforms and academic literature," Omega, Elsevier, vol. 98(C).
    14. Alnaggar, Aliaa & Gzara, Fatma & Bookbinder, James H., 2024. "Compensation guarantees in crowdsourced delivery: Impact on platform and driver welfare," Omega, Elsevier, vol. 122(C).
    15. Zha, Liteng & Yin, Yafeng & Du, Yuchuan, 2018. "Surge pricing and labor supply in the ride-sourcing market," Transportation Research Part B: Methodological, Elsevier, vol. 117(PB), pages 708-722.
    16. Lavieri, Patrícia S. & Bhat, Chandra R., 2019. "Modeling individuals’ willingness to share trips with strangers in an autonomous vehicle future," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 242-261.
    17. Ramon Casadesus-Masanell & Andres Hervas-Drane, 2015. "Competing with Privacy," Management Science, INFORMS, vol. 61(1), pages 229-246, January.
    18. Chongwoo Choe & Stephen King & Noriaki Matsushima, 2018. "Pricing with Cookies: Behavior-Based Price Discrimination and Spatial Competition," Management Science, INFORMS, vol. 64(12), pages 5669-5687, December.
    19. Wang, Hai & Yang, Hai, 2019. "Ridesourcing systems: A framework and review," Transportation Research Part B: Methodological, Elsevier, vol. 129(C), pages 122-155.
    20. Yan, Pengyu & Lee, Chung-Yee & Chu, Chengbin & Chen, Cynthia & Luo, Zhiqin, 2021. "Matching and pricing in ride-sharing: Optimality, stability, and financial sustainability," Omega, Elsevier, vol. 102(C).
    21. Terry A. Taylor, 2018. "On-Demand Service Platforms," Manufacturing & Service Operations Management, INFORMS, vol. 20(4), pages 704-720, October.
    22. Zhou, Chang & Li, Xiang & Chen, Lujie, 2023. "Modelling the effects of metro and bike-sharing cooperation: Cost-sharing mode vs information-sharing mode," International Journal of Production Economics, Elsevier, vol. 261(C).
    23. Zhong, Yuanguang & Pan, Qi & Xie, Wei & Cheng, T.C.E. & Lin, Xiaogang, 2020. "Pricing and wage strategies for an on-demand service platform with heterogeneous congestion-sensitive customers," International Journal of Production Economics, Elsevier, vol. 230(C).
    24. James Campbell & Avi Goldfarb & Catherine Tucker, 2015. "Privacy Regulation and Market Structure," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 24(1), pages 47-73, March.
    25. Zhao, Meng & Li, Bin & Ren, Jiali & Hao, Zhihua, 2023. "Competition equilibrium of ride-sourcing platforms and optimal government subsidies considering customers’ green preference under peak carbon dioxide emissions," International Journal of Production Economics, Elsevier, vol. 255(C).
    26. Yongrui Duan & Yao Ge & Yixuan Feng, 2022. "Pricing and personal data collection strategies of online platforms in the face of privacy concerns," Electronic Commerce Research, Springer, vol. 22(2), pages 539-559, 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. Liu, Yang & Wu, Fanyou & Lyu, Cheng & Li, Shen & Ye, Jieping & Qu, Xiaobo, 2022. "Deep dispatching: A deep reinforcement learning approach for vehicle dispatching on online ride-hailing platform," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 161(C).
    29. Esther Gal-Or & Ronen Gal-Or & Nabita Penmetsa, 2018. "The Role of User Privacy Concerns in Shaping Competition Among Platforms," Information Systems Research, INFORMS, vol. 29(3), pages 698-722, September.
    30. Jiayi Joey Yu & Christopher S. Tang & Zuo-Jun Max Shen & Xiqun Michael Chen, 2020. "A Balancing Act of Regulating On-Demand Ride Services," Management Science, INFORMS, vol. 66(7), pages 2975-2992, July.
    31. Miguel Godinho de Matos & Idris Adjerid, 2022. "Consumer Consent and Firm Targeting After GDPR: The Case of a Large Telecom Provider," Management Science, INFORMS, vol. 68(5), pages 3330-3378, May.
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