Stochastic Evolutionary Game in Food Takeaway Management with Improved Replication Dynamic Equations in Postepidemic Era

Ying Zhang, Haojie Zhu and Zaoli Yang

Mathematical Problems in Engineering, 2022, vol. 2022, 1-15

Abstract: The rapid growth of the food takeaway industry during COVID-19 raises a claim to its quality improvement, especially the hygiene condition. In the takeaway chain, the food takeaway platforms, the restaurants, and the distributors are responsible for food hygiene. Accordingly, this study employs an evolutionary game to study the takeaway management among them. It constructs their traditional replication dynamic equations after parameter design. Then, it improves the equations by introducing the incentive relationships and interference factors. Through the equations, it analyzes and simulates the stochastic evolution process of the three parties, exploring the influence of some parameters’ numerical changes. After that, it concludes that the proportional expenditure coefficient for illegal rectification, the incentive coefficient, the interference intensity coefficient, and the step size can impact the efficiency, the results, or the fluctuations in the evolution, obtaining methods to theoretically control the evolution. Based on that, it puts forward targeted suggestions for constructing the contract mechanism of the takeaway, which provides a reference for the management of food takeaways practically in the postepidemic era.

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:9058007

DOI: 10.1155/2022/9058007

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