Title: A model ISM-MICMAC for managing risk in agri-food supply chain: an investigation from the Andean region of Peru
Authors: Edgar Ramos; Timothy J. Pettit; Mamun Habib; Melissa Chavez
Addresses: Industrial Engineering Program, Universidad Peruana de Ciencias Aplicadas, Lima, Peru ' Department of Management and Marketing, National University, La Jolla, CA, USA ' School of Business and Entrepreneurship (SBE), Independent University, Dhaka, Bangladesh ' Industrial Engineering Program, Universidad Nacional de Ingenieria, Lima, Peru
Abstract: During recent years, supply chain risks have gained importance in the food supply chain. This study presents a methodology to analyse the risk in the agri-food supply chain belonging to the Andean region in Peru. It utilises the interpretive structural modelling (ISM) with matrice d' impacts croises multiplication appliqué an classement (cross-impact matrix multiplication applied to classification, abbreviated as MICMAC) to identify and understand relationships between risk types. Based on the empirical data collected from the food industry experts, ten risk factors were identified as relevant. Finally, the identified risks were classified using ISM-MICMAC methodology. The research findings demonstrated that natural disaster, environmental, and legal risks were the most substantial. The findings highlight that selected methods are capable of recognising the most substantial risks that are most critical to assess, manage with adequate mitigation actions from the practitioners in the agri-food industry.
Keywords: agri-food supply chain; supply chain; risk management; interpretive structural modelling; ISM; matrice d' impacts croises multiplication appliqué an classement; MICMAC; Peru.
International Journal of Value Chain Management, 2021 Vol.12 No.1, pp.62 - 85
Received: 03 Oct 2019
Accepted: 03 Jun 2020
Published online: 22 Jan 2021 *