| Title |
A diverse, unbiased group decision-making framework for assessing drivers of the circular economy and resilience in an agri-food supply chain |
| ID_Doc |
4227 |
| Authors |
Ramos, E; Rabiee, M; Tarei, PK; Chavez, M; Coles, PS |
| Title |
A diverse, unbiased group decision-making framework for assessing drivers of the circular economy and resilience in an agri-food supply chain |
| Year |
2024 |
| Published |
|
| DOI |
10.1080/09537287.2024.2370988 |
| Abstract |
The circular economy (CE) and supply chain resilience have received significant scientific attention in the recent supply chain literature. Incorporating CE practices and resilience practices into a supply chain enables companies to address their sustainability goals. This research explores the joint impact of implementing CE practices and resilience practices in an agri-food supply chain in Peru. The synergetic assessment of CE practices and resilience practices in a supply chain constitutes a multi-criteria decision-making challenge, requiring the involvement of subject-matter experts. Most studies have selected subject-matter experts based on the researchers' convenience, which may lead to biased evaluations by some experts, resulting in unreliable study results. To mitigate potential bias, this research introduces a new framework named Diverse and Unbiased Group Decision-Making (DUGDM). Subsequently, the study examines the interaction between the drivers of CE and resilience using the Grey-DEMATEL method. The results indicate that drivers, such as the economic growth level, agricultural contamination, and collaborative operation of multiple firms are most influential in the successful integration of circular economy and resilience into a Peruvian agri-food supply chain system. |
| Author Keywords |
Circular economy; supply chain resilience; agri-food supply chain; group decision-making; Grey-DEMATEL |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:001256863500001 |
| WoS Category |
Engineering, Industrial; Engineering, Manufacturing; Operations Research & Management Science |
| Research Area |
Engineering; Operations Research & Management Science |
| PDF |
|