The results show that the supermarket supply chain has the highest risk, followed by the group catering supply chain, and the five-star hotel supply chain has the lowest risk.
Authors
Wenke Wang, School of Business, Sichuan Normal University, Chengdu, China.
Qilin Cao, School of Business, Sichuan University, Chengdu, China.
Yang Liu, Department of Management and Engineering, Linköping University, Linköping, Sweden; Industrial Engineering and Management, University of Oulu, Oulu, Finland.
Cheng Zhou, School of Business, Sichuan University, Chengdu, China.
Qinghui Jiao, School of Business, Sichuan University, Chengdu, China.
Sachin Kumar Mangla, Full Professor and Director, Research Center for Digital Circular Economy for Sustainable Development Goals (DCE-SDG), Jindal Global Business School, O.P. Jindal Global University, Sonipat, Haryana, India.
Summary
The green supply chain of agricultural products (GSCAP) is a key link for rural revitalization and sustainable development in China. However, it faces various risks from internal and external environments that threaten its performance and stability. This paper proposes a novel framework and system for identifying and evaluating the main risks in the GSCAP from the perspective of agricultural enterprises.
The framework combines social network analysis (SNA) and an improved technique for order preference by similarity to an ideal solution (TOPSIS) method. SNA is used to analyze the correlations and influences among different types of risks, while the improved TOPSIS method is used to rank the risks of different GSCAPs and identify the key risks in each supply chain.
The framework and system are verified by a case study of CDYBIT, a leading platform of food safety big data service in China. The results show that the supermarket supply chain has the highest risk, followed by the group catering supply chain, and the five-star hotel supply chain has the lowest risk.
The main risk factors for each supply chain are also discussed, and some suggestions for risk management are provided. This paper contributes to the literature by providing a comprehensive and systematic risk assessment framework and system for the GSCAP, which can help agricultural enterprises improve their risk awareness and response capabilities.
Published in: Business Strategy and the Environment
To read the full article, please click here.
