Achieving resilience through knowledge management practices and risk management culture in agri-food supply chains

Abstract

The problems with the current food distribution system are laid forth in this study. Getting high-quality agricultural and food products to consumers is the goal of what is known as the "agri-food supply chain." Agri-food supply chain knowledge exchange and risk management culture are being studied, as is the effect of supply chain management methods on business success. We are seeing an increase in the regularity of supply chain interruptions. The recent supply chain interruptions and their associated consequences highlight the necessity for robust supply systems. The primary goal of this research is to examine the interplay between critical antecedents of the agri-food supply chain; supply chain resilience (including risk management culture); supply chain connectivity, visibility, collaboration, and agility; and the effect these factors have on supply chain resilience and, ultimately, firm performance. With the same foundational elements and backing from the literature, an empirical model has been suggested. From September 2020 to June 2021, 245 random samples were collected throughout Indonesia for this investigation. The suggested model and the interdependencies among the crucial antecedents have been verified using partial least squares-structural equation modeling (PLS-SEM). Findings from this study support the notion that agri-food supply chains benefit from increased emphasis on traceability, transparency, information sharing, and a culture of risk management. One major takeaway from this study is that by adopting the suggested methodology, businesses may build and strengthen their supply chain resilience capabilities by institutionalizing a risk management culture, raising employee risk awareness, and holding regular risk assessment drills. The study also suggests that businesses that want to strengthen their supply chains can do so by adopting information and communications technologies and visibility tools to improve their supply chain connectivity and visibility, allowing them to respond to and recover from disruptions in the supply chain more quickly. The model is validated using data from Indonesia's industrial sector. In order to establish supply chain resilience, the suggested model provides a comprehensive perspective that defines the interconnections between key antecedents. We conclude with some thoughts and suggestions for further study.

Keywords: Collaboration; Knowledge sharing; PLS-SEM; Risk management culture; agri-food supply chain.