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Optimal employment model for an entrant platform in on-demand service market

Ling Zhang (College of Management and Economics, Tianjin University, Tianjin, China)
Nan Feng (College of Management and Economics, Tianjin University, Tianjin, China)
Haiyang Feng (College of Management and Economics, Tianjin University, Tianjin, China) (Laboratory of Computation and Analytics of Complex Management Systems (CACMS), Tianjin University, Tianjin, China)
Minqiang Li (College of Management and Economics, Tianjin University, Tianjin, China)

Industrial Management & Data Systems

ISSN: 0263-5577

Article publication date: 16 October 2023

Issue publication date: 2 January 2024

248

Abstract

Purpose

For an entrant platform in the on-demand service market, choosing an appropriate employment model is critical. This study explores how the entrant optimally chooses the employment model to achieve better performance and investigates the optimal pricing strategies and wage schemes for both incumbent and entrant platforms.

Design/methodology/approach

Based on the Hotelling model, the authors develop a game-theoretic framework to study the incumbent's and entrant's optimal service prices and wage schemes. Moreover, the authors determine the entrant's optimal employment model by comparing the entrant's optimal profits under different market configurations and analytically analyze the impacts of some critical factors on the platforms' decision-making.

Findings

This study reveals that the impacts of the unit misfit cost of suppliers or consumers on the pricing strategies and wage schemes vary with different operational efficiencies of platforms. Only when both the service efficiency of contractors and the basic employee benefits are low, entrants should adopt the employee model. Moreover, a lower unit misfit cost of suppliers or consumers makes entrants more likely to choose the contractor model. However, the service efficiency of contractors has nonmonotonic effects on the entrant's decision.

Originality/value

This study focuses on an entrant's decision on the optimal employment model in an on-demand service market, considering the competition between entrants and incumbents on both the supplier and consumer sides, which has not been investigated in the prior literature.

Keywords

Acknowledgements

Funding: This work was supported by the National Natural Science Foundation of China (Nos. 72231004, 71971153, 72022012).

Citation

Zhang, L., Feng, N., Feng, H. and Li, M. (2024), "Optimal employment model for an entrant platform in on-demand service market", Industrial Management & Data Systems, Vol. 124 No. 1, pp. 29-63. https://doi.org/10.1108/IMDS-04-2023-0243

Publisher

:

Emerald Publishing Limited

Copyright © 2023, Emerald Publishing Limited

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