IDEAS home Printed from https://ideas.repec.org/a/eee/proeco/v218y2019icp363-374.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0925527319302464
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ijpe.2019.07.009?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    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. 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. 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.
    4. 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.
    5. 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.
    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. 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.
    8. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chen, Mingyang & Zhao, Daozhi & Gong, Yeming & Rekik, Yacine, 2022. "An on-demand service platform with self-scheduling capacity: Uniform versus multiplier-based pricing," International Journal of Production Economics, Elsevier, vol. 243(C).
    2. Meijian Yang & Enjun Xia, 2021. "A Systematic Literature Review on Pricing Strategies in the Sharing Economy," Sustainability, MDPI, vol. 13(17), pages 1-28, August.
    3. Daozhi Zhao & Yang Xue & Cejun Cao & Hongshuai Han, 2019. "Channel Selection and Pricing Decisions Considering Three Charging Modes of Production Capacity Sharing Platform: A Sustainable Operations Perspective," Sustainability, MDPI, vol. 11(21), pages 1-28, October.
    4. 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.
    5. Amirmahdi Tafreshian & Neda Masoud & Yafeng Yin, 2020. "Frontiers in Service Science: Ride Matching for Peer-to-Peer Ride Sharing: A Review and Future Directions," Service Science, INFORMS, vol. 12(2-3), pages 44-60, June.
    6. He, Bo & Gupta, Varun & Mirchandani, Prakash, 2021. "Online selling through O2O platform or on your own? Strategic implications for local Brick-and-Mortar stores," Omega, Elsevier, vol. 103(C).
    7. 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).
    8. Sun, Xiaojie & Tang, Wansheng & Chen, Jing & Zhang, Jianxiong, 2020. "Optimal investment strategy of a free-floating sharing platform," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 138(C).
    9. Yan, Xiaoyu & Liu, Weihua & Tang, Ou & Hou, Jiahe, 2024. "When will an overconfident entrant in the two-sided market do more good than harm?," International Journal of Production Economics, Elsevier, vol. 267(C).
    10. Wen Diao & Baojun Jiang & Lin Tian, 2023. "Competition between P2P ride‐sharing platforms and traditional taxis," Production and Operations Management, Production and Operations Management Society, vol. 32(12), pages 3801-3815, December.
    11. Zhou, Wenli & Liu, Huan & Cao, Ping & Wang, Yaolei, 2024. "Optimal pricing for on-demand service platforms with heterogeneous customer demand frequencies," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 189(C).
    12. Lin Tian & Baojun Jiang & Yifan Xu, 2021. "Manufacturer’s Entry in the Product-Sharing Market," Manufacturing & Service Operations Management, INFORMS, vol. 23(3), pages 553-568, May.
    13. He, Bo & Mirchandani, Prakash & Wang, Yong, 2020. "Removing barriers for grocery stores: O2O platform and self-scheduling delivery capacity," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 141(C).
    14. Chen, Mingyang & Zhao, Daozhi & Gong, Yeming & Hong, Zhaofu, 2021. "Reference-dependent preferences in the on-demand service newsvendor with self-scheduling capacity," International Journal of Production Economics, Elsevier, vol. 234(C).
    15. 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).
    16. He, Shan & Dai, Ying & Ma, Zu-Jun, 2023. "To offer or not to offer? The optimal value-insured strategy for crowdsourced delivery platforms," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 173(C).
    17. Zhong, Yuanguang & Lan, Yibo & Chen, Zhi & Yang, Jiazi, 2023. "On-demand ride-hailing platforms with heterogeneous quality-sensitive customers: Dedicated system or pooling system?," Transportation Research Part B: Methodological, Elsevier, vol. 173(C), pages 247-266.
    18. Yongwook Paik & Christos A. Makridis, 2023. "The social value of a ridesharing platform: a hedonic pricing approach," Empirical Economics, Springer, vol. 64(5), pages 2125-2150, May.
    19. Omar Besbes & Francisco Castro & Ilan Lobel, 2021. "Surge Pricing and Its Spatial Supply Response," Management Science, INFORMS, vol. 67(3), pages 1350-1367, March.
    20. Saif Benjaafar & Shining Wu & Hanlin Liu & Einar Bjarki Gunnarsson, 2022. "Dimensioning On-Demand Vehicle Sharing Systems," Management Science, INFORMS, vol. 68(2), pages 1218-1232, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:proeco:v:218:y:2019:i:c:p:363-374. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ijpe .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.