| Title |
Assessment of sustainable green logistics enablers: a robust framework using fuzzy DEMATEL and ISM approach |
| ID_Doc |
70845 |
| Authors |
Shoaib, M; Zhang, S; Ali, H |
| Title |
Assessment of sustainable green logistics enablers: a robust framework using fuzzy DEMATEL and ISM approach |
| Year |
2023 |
| Published |
International Journal Of Environmental Science And Technology, 20.0, 10 |
| DOI |
10.1007/s13762-022-04709-4 |
| Abstract |
Globalization has led companies to adopt a sustainable green perspective in their logistics business to achieve their financial goals and fulfill social and environmental aspects. A growing number of logistics organizations are now willing to adopt sustainability in their operations because of external pressure and to enhance their marketing. As it is difficult to change traditional logistics activities into sustainable green logistics, this study aims to identify and prioritize critical enablers for implementing sustainable green logistics, as no previous research discusses sustainable green logistics enablers by adopting an integrated modeling approach. In total, 21 enablers were identified with the assistance of 118 articles related to sustainable and green logistics. Initially, exploratory factor analysis (EFA) was used to group relevant enablers into their concerning domain. Second, the fuzzy decision-making trial and evaluation laboratory (DEMATEL) approach analyzed interrelationships among enablers by finding cause-and-effect behavior and ranking them accordingly. Finally, the interpretive structural modeling (ISM) method formed a robust theoretical framework according to the results achieved with the assistance of fuzzy DEMATEL. Based on the acquired results, aspects A5 (Customer) and A7 (External management) are considered critical. At the same time, enablers E18 (Organization's/Top management support), E2 (Government regulation and legislation), and E14 (Public and consumers' pressure) got the highest ranking in achieving sustainable green logistics. This research will help the researchers and managers of logistics operations to build a suitable strategy before adopting sustainable green logistics. |
| Author Keywords |
Sustainable green logistics; Enablers; Exploratory factor analysis; Fuzzy decision-making trial and evaluation laboratory; Interpretive structural modeling |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:000903814800001 |
| WoS Category |
Environmental Sciences |
| Research Area |
Environmental Sciences & Ecology |
| PDF |
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