Research on Risk Evolution of Online Food Delivery Platforms Based on Fuzzy Cognitive Map

Abstract

The rapid growth of the online food delivery market in China has led to a range of risk issues, including food safety and delivery transportation risks. This article aims to address these risks by establishing a fuzzy cognitive map for online food delivery platforms (Taking Meituan as an example) and studying the evolutionary characteristics of these risks. Firstly, a risk criteria system is developed considering multiple business scenarios such as online service, consumption activity, offline service and offline management. Secondly, a fuzzy cognitive map is constructed to represent the relations between risk criteria. Finally, the risk feature evolution results are obtained using the iterative algorithm of the fuzzy cognitive map. By analyzing these results, suggestions for risk management in online food delivery platforms are proposed.