Key factors for energy-efficient supply chains: Implications for energy policy in emerging economies

Highlights: • This paper identifies critical success factors for energy-efficient supply chain. • The 'best-worst' decision-making model is used. • Hierarchical structural model of CSFs is proposed to support decision-making. • Theoretical and managerial implications of the findings are presented. -- Abstract: This research presents critical success factors (CSFs) for developing energy-efficient supply chains (EESCs) in the leather industry in an emerging economy, which implications for energy policy. A novel decision-making support approach named the 'best-worst method' (BWM) is employed to rank the most important CSFs. Furthermore, an interpretive structural modeling (ISM) approach and a MICMAC analysis (Matriced Impacts Croisés Multiplication Appliquée á un Classement) are undertaken in this study to depict the relative dependences and influences among the selected CSFs. The CSF 'International pressure and scarcity of natural resources' is identified as the most significant factor via a hybrid BWM-ISM method that may drive the leather industry to implement EESC practices and thus maintain a sustainable environmental approach. This research will be beneficial to decision makers in carrying out effective operations and improving implementation of EESC practices in the leather industry.