On-Demand Service Platforms

被引:318
|
作者
Taylor, Terry A. [1 ]
机构
[1] Univ Calif Berkeley, Haas Sch Business, Berkeley, CA 94720 USA
关键词
service operations; incentives and contracting; game theory; queueing theory; QUEUING-SYSTEMS; QUOTATION; CAPACITY; SIZE;
D O I
10.1287/msom.2017.0678
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
An on-demand service platform connects waiting-time-sensitive customers with independent service providers (agents). This paper examines how two defining features of an on-demand service platform-delay sensitivity and agent independence-impact the platform's optimal per-service price and wage. Delay sensitivity reduces expected utility for customers and agents, which suggests that the platform should respond by decreasing the price (to encourage participation of customers) and increasing the wage (to encourage participation of agents). These intuitive price and wage prescriptions are valid in a benchmark setting without uncertainty in the customers' valuation or the agents' opportunity costs. However, uncertainty in either dimension can reverse the prescriptions: Delay sensitivity increases the optimal price when customer valuation uncertainty is moderate. Delay sensitivity decreases the optimal wage when agent opportunity cost uncertainty is high and expected opportunity cost is moderate. Under agent opportunity cost uncertainty, agent independence decreases the price. Under customer valuation uncertainty, agent independence increases the price if and only if valuation uncertainty is sufficiently high.
引用
收藏
页码:704 / 720
页数:17
相关论文
共 50 条
  • [1] Labor Welfare in On-Demand Service Platforms
    Benjaafar, Saif
    Ding, Jian-Ya
    Kong, Guangwen
    Taylor, Terry
    [J]. M&SOM-MANUFACTURING & SERVICE OPERATIONS MANAGEMENT, 2022, 24 (01) : 110 - 124
  • [2] Impact of customer bounded rationality on on-demand service platforms
    Chen, Xiaole
    Fu, Ke
    Tang, Yanli
    [J]. IISE TRANSACTIONS, 2023, 55 (10) : 1049 - 1061
  • [3] Can two competing on-demand service platforms be profitable?
    Bai, Jiaru
    Tang, Christopher S.
    [J]. International Journal of Production Economics, 2022, 250
  • [4] Can two competing on-demand service platforms be profitable?
    Bai, Jiaru
    Tang, Christopher S.
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2022, 250
  • [5] Optimal pricing for on-demand service platforms with heterogeneous customer demand frequencies
    Zhou, Wenli
    Liu, Huan
    Cao, Ping
    Wang, Yaolei
    [J]. TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2024, 189
  • [6] Managing priorities on on-demand service platforms with waiting time differentiation
    De Munck, Thomas
    Chevalier, Philippe
    Tancrez, Jean-Sebastien
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2023, 266
  • [7] Fast Forecasting of Unstable Data Streams for On-Demand Service Platforms
    Hu, Yu Jeffrey
    Rombouts, Jeroen
    Wilms, Ines
    [J]. INFORMATION SYSTEMS RESEARCH, 2024,
  • [8] Deterministic and probabilistic service-hailing mode choice for on-demand service platforms
    Wang, Li
    Yuan, Jiahang
    Hu, Li
    Du, Shaofu
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2024, 269
  • [9] Behavior-Based Pricing in On-Demand Service Platforms With Network Effects
    Chen, Mingyang
    Gong, Yeming
    [J]. IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT, 2023, 71 : 4160 - 4174
  • [10] Old Logics, New Technologies: Producing a Managed Workforce on On-Demand Service Platforms
    Singh, Anubha
    Garcia, Patricia
    Lindtner, Silvia
    [J]. PROCEEDINGS OF THE 2023 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI 2023), 2023,