Determining Sustainability Key Performance Indicators for Food Loss Reduction in the Supply Chain: Empirical Evidence from Jordan
AL-Dalaeen, Qais R.
AL-Dalaeen, Qais R.
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End of Embargo
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The University of Bradford theses are licenced under a Creative Commons Licence.
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Accepted for publication
Institution
University of Bradford
Department
School of Management. Faculty of Management, Law and Social Sciences
Awarded
2023
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Abstract
Food loss and food waste in large quantities undoubtedly form one of the most significant global problems affecting our food security and the world’s sustainability development position. Although recent years have witnessed growing research on reducing food loss, most research didn’t evaluate the performance measurement systems in the context of food loss reduction. Consequently, research targeting the strategic decision-making level is needed to develop holistic performance evaluation models that can integrate environmental, social, and economic issues, with particular attention paid to food loss along the supply chain. This study aims to develop a decision model that determines the key sustainability performance indicators in the context of food loss reduction and examines the interrelationships between these indicators.
To serve the purpose of this study, a mixed-methods approach has been applied. By employing semi-structured interviews and a Delphi study with 34 experts in the food manufacturing industry, a large number of sustainability performance indicators were systematically examined under the proposed sustainability balanced scorecard (SBSC) model. Then, the significant indicators were selected through an online survey. Subsequently, a multi-criteria decision-making (MCDM) approach was applied, using the DEMATEL technique to discover the interrelationships between the indicators.
The results show that learning and growth, economic, and internal process are the cause perspectives in the model and need to be primarily considered by food manufacturing companies for food loss reduction. The suggested model will allow the decision-makers to revise their performance models and diagnose their activities in the context of food loss reduction.
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Thesis
Qualification name
PhD