Prioritizing causes and drivers of retail food waste through a fuzzy Dombi-Bonferroni operators-based best-worst approach: an emerging economy perspective.

The food waste hierarchy offers that prevention of the waste is the best solution to deal with this complex issue. Herein, to take a preventive action against food waste, this paper attempts to prioritize the key causes and drivers of retail food waste employing Dombi-Bonferroni operators-based fuzzy best-worst (DB-FBWM) framework. Drawing upon stakeholder theory and contingency theory, causes of retail food waste are categorized into six aspects and their 23 drivers. The results revealed that the "customer-driven" cause is found as the foremost aspect of retail food waste, whereas the "undesirable in-store customer behaviors" is the most vital driver. Identifying the causes and drivers of retail food waste through a reliable model can advance theory and allow building partnership among food supply chain stakeholders for sustainable waste management. The sensitivity and comparison analysis are further performed to confirm the solidity of the approach conducted.