Tseng, M.-L., Phuong Thuy Tran, T., Fujii, M., Lim, M. K. and Tamirat Negash, Y. (2021) Modelling hierarchical circular supply chain management enablers in the seafood processing industry in Vietnam under uncertainties. International Journal of Logistics Research and Applications, (doi: 10.1080/13675567.2021.1965105) (Early Online Publication)
Full text not currently available from Enlighten.
Abstract
This study establishes a valid set of circular supply chain management enablers in Vietnam under uncertainties. Circular supply chain management optimises resource utilisation and minimises waste in achieving competitive advantage; however, prior studies failed to build enablers for industrial improvement under qualitative information. This study adopts the fuzzy Delphi method to arrive at a valid group of attributes. Fuzzy set theory deals with the uncertainties from qualitative data, and fuzzy interpretive structural modelling builds the hierarchical structure under uncertainties. The best-worst method confirms the consistencies. This study stipulates a four-level hierarchical structure in the seafood processing industry. The results show that organisational capability and agility, technological advancement and economic benefit are dominant aspects. Commitment of leadership and managerial support, suppliers’ collaboration, firm culture, readiness for organisational change and sustainability concept integration are top criteria for industrial improvement.
| Item Type: | Articles |
|---|---|
| Keywords: | Circular supply chain management enablers, triple bottom line, dynamic capability view, fuzzy set theory, interpretive structural modelling, best-worst method, circular supply chain management enablers. |
| Status: | Early Online Publication |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Lim, Professor Ming |
| Authors: | Tseng, M.-L., Phuong Thuy Tran, T., Fujii, M., Lim, M. K., and Tamirat Negash, Y. |
| College/School: | College of Social Sciences > Adam Smith Business School > Management |
| Journal Name: | International Journal of Logistics Research and Applications |
| Publisher: | Taylor and Francis |
| ISSN: | 1367-5567 |
| ISSN (Online): | 1469-848X |
| Published Online: | 14 August 2021 |
University Staff: Request a correction | Enlighten Editors: Update this record
Altmetric
Altmetric