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Courteous or Crude? Managing User Conduct to Improve On-Demand Service Platform Performance

Author

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  • Yunke Mai

    (Gatton College of Business and Economics, University of Kentucky, Lexington, Kentucky 40506)

  • Bin Hu

    (Naveen Jindal School of Management, University of Texas at Dallas, Richardson, Texas 75080)

  • Saša Pekeč

    (Fuqua School of Business, Duke University, Durham, North Carolina 27708)

Abstract

In this paper, we study how an on-demand service platform could improve its performance through managing user conduct. In such a platform, service providers may reject certain platform-proposed service requests, and their responses, in turn, incentivize users to adjust their conduct. We develop an evolutionary game theory model of user conduct and provider responses that shows that the platform could improve user conduct through either setting a low wage for service providers or implementing priority matching. Building upon these results, we further model providers and users joining and leaving the platform by once again utilizing the evolutionary game theory approach. We find that wage setting alone is a blunt instrument to improve platform performance via managing user conduct, whereas supplementing the wage decision with priority matching could overcome its limitations and serve as an effective strategy to further improve platform performance in terms of growth and profitability. This finding suggests that matching prioritization could be an important strategy for managing platforms with user and provider heterogeneities. In addition, our analysis and results also demonstrate the potential of the evolutionary game theory approach for analyzing the impact of pricing and matching decisions on the performance of large markets.

Suggested Citation

  • 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.
    • Handle: RePEc:inm:ormnsc:v:69:y:2023:i:2:p:996-1016
    DOI: 10.1287/mnsc.2022.4391
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    as
    1. Dimitris Bertsimas & Patrick Jaillet, & Sébastien Martin, 2019. "Online Vehicle Routing: The Edge of Optimization in Large-Scale Applications," Operations Research, INFORMS, vol. 67(1), pages 143-162, January.
    2. 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.
    3. Harish Guda & Upender Subramanian, 2019. "Your Uber Is Arriving: Managing On-Demand Workers Through Surge Pricing, Forecast Communication, and Worker Incentives," Management Science, INFORMS, vol. 67(5), pages 1995-2014, May.
    4. Terry A. Taylor, 2018. "On-Demand Service Platforms," Manufacturing & Service Operations Management, INFORMS, vol. 20(4), pages 704-720, October.
    5. Santiago R. Balseiro & Omar Besbes & Gabriel Y. Weintraub, 2015. "Repeated Auctions with Budgets in Ad Exchanges: Approximations and Design," Management Science, INFORMS, vol. 61(4), pages 864-884, April.
    6. Paul Belleflamme & Martin Peitz, 2018. "Inside the Engine Room of Digital Platforms: Reviews, Ratings, and Recommendations," Working Papers halshs-01714549, HAL.
    7. Anton Braverman & J. G. Dai & Xin Liu & Lei Ying, 2019. "Empty-Car Routing in Ridesharing Systems," Operations Research, INFORMS, vol. 67(5), pages 1437-1452, September.
    8. Leon Yang Chu & Zhixi Wan & Dongyuan Zhan, 2018. "Harnessing the Double-edged Sword via Routing: Information Provision on Ride-hailing Platforms," Working Papers 18-04, NET Institute.
    9. 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.
    10. E. Glen Weyl, 2010. "A Price Theory of Multi-sided Platforms," American Economic Review, American Economic Association, vol. 100(4), pages 1642-1672, September.
    11. Yash Kanoria & Daniela Saban, 2021. "Facilitating the Search for Partners on Matching Platforms," Management Science, INFORMS, vol. 67(10), pages 5990-6029, October.
    12. Kostas Bimpikis & Ozan Candogan & Daniela Saban, 2019. "Spatial Pricing in Ride-Sharing Networks," Operations Research, INFORMS, vol. 67(3), pages 744-769, May.
    13. Krishnamurthy Iyer & Ramesh Johari & Mukund Sundararajan, 2014. "Mean Field Equilibria of Dynamic Auctions with Learning," Management Science, INFORMS, vol. 60(12), pages 2949-2970, December.
    14. repec:hhs:iuiwop:487 is not listed on IDEAS
    15. Santiago R. Balseiro & David B. Brown & Chen Chen, 2021. "Dynamic Pricing of Relocating Resources in Large Networks," Management Science, INFORMS, vol. 67(7), pages 4075-4094, July.
    16. Sachin Adlakha & Ramesh Johari, 2013. "Mean Field Equilibrium in Dynamic Games with Strategic Complementarities," Operations Research, INFORMS, vol. 61(4), pages 971-989, August.
    17. Jun Li & Serguei Netessine, 2020. "Higher Market Thickness Reduces Matching Rate in Online Platforms: Evidence from a Quasiexperiment," Management Science, INFORMS, vol. 66(1), pages 271-289, January.
    18. 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.
    19. Paul Belleflamme & Martin Peitz, 2018. "Inside the Engine Room of Digital Platforms: Reviews, Ratings, and Recommendations," Working Papers halshs-01714549, HAL.
    20. Jorgen W. Weibull, 1997. "Evolutionary Game Theory," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262731215, April.
    21. Hsi Tse Wang, 2020. "Discussion of the Competitive Strategies of Telecom Operators and Over-the-Top Service Providers from the Perspective of Evolutionary Game Theory," Decision Analysis, INFORMS, vol. 17(3), pages 260-275, September.
    22. , H., 2010. "Local stability under evolutionary game dynamics," Theoretical Economics, Econometric Society, vol. 5(1), January.
    23. Wang, Yan & Yang, Jian & Qi, Lian, 2017. "A game-theoretic model for the role of reputation feedback systems in peer-to-peer commerce," International Journal of Production Economics, Elsevier, vol. 191(C), pages 178-193.
    24. Davide Proserpio & Wendy Xu & Georgios Zervas, 2018. "You get what you give: theory and evidence of reciprocity in the sharing economy," Quantitative Marketing and Economics (QME), Springer, vol. 16(4), pages 371-407, December.
    25. Gordon Burtch & Seth Carnahan & Brad N. Greenwood, 2018. "Can You Gig It? An Empirical Examination of the Gig Economy and Entrepreneurial Activity," Management Science, INFORMS, vol. 64(12), pages 5497-5520, December.
    26. Michael Luca, 2017. "Designing Online Marketplaces: Trust and Reputation Mechanisms," Innovation Policy and the Economy, University of Chicago Press, vol. 17(1), pages 77-93.
    27. Zoë Cullen & Chiara Farronato, 2021. "Outsourcing Tasks Online: Matching Supply and Demand on Peer-to-Peer Internet Platforms," Management Science, INFORMS, vol. 67(7), pages 3985-4003, July.
    28. Saif Benjaafar & Ming Hu, 2020. "Operations Management in the Age of the Sharing Economy: What Is Old and What Is New?," Manufacturing & Service Operations Management, INFORMS, vol. 22(1), pages 93-101, January.
    29. Steven Tadelis, 2016. "Reputation and Feedback Systems in Online Platform Markets," Annual Review of Economics, Annual Reviews, vol. 8(1), pages 321-340, October.
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