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Chinese Journal of Management Science ›› 2025, Vol. 33 ›› Issue (2): 184-194.doi: 10.16381/j.cnki.issn1003-207x.2024.1578

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Research on Platform Supervision and Merchant Incentive Strategies for Unattended Food Delivery Orders

Tian Tian1,2, Huijing Yuan1, Jiafu Tang1(), Yuxue Liu1   

  1. 1.School of Management Science and Engineering,Dongbei University of Finance and Economics,Dalian 116012,China
    2.Key Laboratory of Liaoning Province for Data Analytics and Decision-Making Optimization,Dalian 116012,China
  • Received:2024-09-08 Revised:2024-10-22 Online:2025-02-25 Published:2025-03-06
  • Contact: Jiafu Tang E-mail:tangjiafu@dufe.edu.cn

Abstract:

The problem of unattended delivery orders in O2O food delivery services is caused by unreasonable allocation of crowd-sourcing riders,but its essence is the revenue distribution mechanism(i.e.catering merchant incentive strategy)issue and delivery platform supervision issue.In this article,it focuses on two platform charging modes and two platform supervision methods,platform supervision effort,merchant cash incentive and rider delivering effort are considered,four tripartite game models are built whose players are the same,including the delivery platform,the catering merchant and the crowd-sourcing riders,and Nash equilibrium is solved to get the optimal decisions and profit.It is found that:(1)After introducing platform supervision and merchant cash incentive,the number of orders the riders accept and the riders’profit are both improved.(2)If the merchant chooses to provide incentives,all gross profit of the product will be used as incentive.When the product’s gross profit does not exceed 2/3 of the product’s price,platform supervision and merchant incentives may bring additional profits to the merchant.(3)Rider delivering effort is related to platform charging modes.

Key words: food delivery, unattended orders, platform supervision, merchant incentive, tripartite game

CLC Number: