| Title |
Identification and analysis of circular supply chain management practices for sustainability: a fuzzy-DEMATEL approach |
| ID_Doc |
6819 |
| Authors |
Saroha, M; Garg, D; Luthra, S |
| Title |
Identification and analysis of circular supply chain management practices for sustainability: a fuzzy-DEMATEL approach |
| Year |
2022 |
| Published |
International Journal Of Productivity And Performance Management, 71, 3 |
| DOI |
10.1108/IJPPM-11-2020-0613 |
| Abstract |
Purpose Circular supply chain management (CSCM) is proving to be a strong contributor towards sustainable development. The purpose of this study is to analyse the circular practices in CSCM implementation towards sustainability in the Indian auto sector; these practices are at the initial stage in a developing economy. Design/methodology/approach In this research work, a framework has been developed to enrich understanding of various CSCM practices for sustainability. To develop a causal framework, a Fuzzy Decision-Making Trial and Evaluation Laboratory (F-DEMATEL) methodology has been adopted. Findings The results produce 32 practices with cause and effect groups and their importance/priorities. Based on F-DEMATEL, these 32 practices are grouped into cause and effect groups based on R + C and R - C values. Research limitations/implications The findings will help managers and decision-makers to gain a deeper understanding of the practices and their nature; the governmental and financial practices are identified as the most critical factors that need more attention. The results will help strategy makers to plan accordingly. Originality/value This research has identified and analysed 32 basic practices and their interrelationships to achieve sustainability in CSCM. |
| Author Keywords |
Circular supply chain management (CSCM); Circular economy; Practices; F-DEMATEL; Sustainable development; Developing countries |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Emerging Sources Citation Index (ESCI) |
| EID |
WOS:000635020500001 |
| WoS Category |
Management |
| Research Area |
Business & Economics |
| PDF |
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