The Assurance of Food Safety in Supply Chains via Relational Networking: A Social Network Perspective

Abstract

Purpose – Taking a social network perspective, the purpose of this paper is to develop a framework for the assurance of food safety via relational networking. Design/methodology/approach – The authors consider both informal and formal relational networking, and explore a firm’s learning orientation, risk aversion and consumer pressure as potential precursors to such relational networking. It is further hypothesized that relational networking generates both industry and supply chain knowledge, which is suggested to be beneficial for contamination detection. The model is tested with survey data collected among food-producing firms in India, the world’s second largest food producer. Findings – The authors find a positive influence of consumer pressure on both a firm’s learning orientation and risk aversion, which in turn affect both informal and formal relational networking. Informal networking further generated industry knowledge and was beneficial for contamination detection. Formal relational networking i...