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Matching supply and demand on ride-sharing platforms with permanent agents and competition

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  • Zhong, Yuanguang
  • Lin, Zhaozhan
  • Zhou, Yong-Wu
  • Cheng, T.C.E.
  • Lin, Xiaogang

Abstract

Ride-sharing platforms, as a new travel service, yield substantial benefit by effectively matching drivers and passengers. We consider ride-sharing platforms that recruit permanent and/or temporary, i.e., self-scheduling, agents to provide on-demand services requested by riders. The permanent agents of a platform are paid a fixed wage by the platform, whereas the temporary agents are self-scheduling and offered a subsidy by the platform for the services they provide. In this paper we assume that the market is supply-dominant, i.e., the number of riders seeking on-demand services is sufficiently large and the price charged to each served rider is determined by the number of agents available on the platforms. In both monopoly and duopoly competition environments, we determine the subsidy level for the temporary agents and/or the employment level of the permanent agents that balance the agents' supply and the riders' demand to maximize the platforms' profits. Furthermore, we examine the impacts of both the employment of permanent agents and platform competition on the platforms' subsidy strategies and profitability, participants’ surpluses, and social welfare. We also discuss the managerial implications of the research findings.

Suggested Citation

  • Zhong, Yuanguang & Lin, Zhaozhan & Zhou, Yong-Wu & Cheng, T.C.E. & Lin, Xiaogang, 2019. "Matching supply and demand on ride-sharing platforms with permanent agents and competition," International Journal of Production Economics, Elsevier, vol. 218(C), pages 363-374.
    • Handle: RePEc:eee:proeco:v:218:y:2019:i:c:p:363-374
    DOI: 10.1016/j.ijpe.2019.07.009
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    References listed on IDEAS

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    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. 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.
    3. Linda L. Price & Russell W. Belk, 2016. "Consumer Ownership and Sharing: Introduction to the Issue," Journal of the Association for Consumer Research, University of Chicago Press, vol. 1(2), pages 193-197.
    4. Long He & Ho-Yin Mak & Ying Rong & Zuo-Jun Max Shen, 2017. "Service Region Design for Urban Electric Vehicle Sharing Systems," Manufacturing & Service Operations Management, INFORMS, vol. 19(2), pages 309-327, May.
    5. Xiaogang Lin & Yong-Wu Zhou, 2019. "Pricing policy selection for a platform providing vertically differentiated services with self-scheduling capacity," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 70(7), pages 1203-1218, July.
    6. Zhou, Yong-Wu & Lin, Xiaogang & Zhong, Yuanguang & Xie, Wei, 2019. "Contract selection for a multi-service sharing platform with self-scheduling capacity," Omega, Elsevier, vol. 86(C), pages 198-217.
    7. Kung, Ling-Chieh & Zhong, Guan-Yu, 2017. "The optimal pricing strategy for two-sided platform delivery in the sharing economy," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 101(C), pages 1-12.
    8. Jiong Sun & Hendrarto Supangkat & Siva Balasubramanian, 2016. "Peer-to-Peer Sharing of Private Goods: Sellers’ Response and Consumers’ Benefits," Journal of the Association for Consumer Research, University of Chicago Press, vol. 1(2), pages 262-276.
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