Search results

1 – 1 of 1
Per page
102050
Citations:
Loading...
Access Restricted. View access options
Article
Publication date: 6 October 2020

Vanessa S.M. Magalhães, Luís Miguel D.F. Ferreira, Aldara da Silva César, Renato Manzini Bonfim and Cristóvão Silva

The livestock sector contributes significantly to the Brazilian economy, but also creates many environmental and social issues. To mitigate these problems and help counteract the…

1193

Abstract

Purpose

The livestock sector contributes significantly to the Brazilian economy, but also creates many environmental and social issues. To mitigate these problems and help counteract the effects of the growing production demand, it is essential to address the prevention of food loss and waste (FLW). Therefore, the aim of the present study is to identify the causes of FLW, model their interrelationships and determine their root causes for the Brazilian beef supply chain (SC).

Design/methodology/approach

16 causes are analysed using an integrated interpretive structural modelling (ISM) and matrix impact of cross-multiplication applied to classification (MICMAC) methodology. ISM identified interrelationships among the causes and MICMAC determined the root causes of FLW.

Findings

The ISM highlights the “Lack of transportation infrastructures”, “Inadequate handling”, “Poor operational performance”, “Variety of products available in supermarkets” and “Unhealthy animals and outbreaks of disease” as the most influential causes and the MICMAC classifies them as the root causes of FLW in the Brazilian beef SC.

Practical implications

The results provide fundamental insights for researchers, practitioners and policymakers, by exploring which causes are more influential and which are the root causes, thereby assisting the SC members in the definition of suitable strategies to mitigate FLW.

Originality/value

This is the first empirical analysis of the interdependencies between the causes of FLW in the beef SC.

Details

The International Journal of Logistics Management, vol. 32 no. 1
Type: Research Article
ISSN: 0957-4093

Keywords

1 – 1 of 1
Per page
102050