Modelling hierarchical circular supply chain management enablers in the seafood processing industry in Vietnam under uncertainties

Ming-Lang Tseng, Thi Phuong Thuy Tran, Minoru Fujii, Ming Lim, Yeneneh Tamirat Negash

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)
205 Downloads (Pure)

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.
Original languageEnglish
Pages (from-to)30-58
Number of pages29
JournalInternational Journal of Logistics Research and Applications
Volume27
Issue number1
Early online date14 Aug 2021
DOIs
Publication statusPublished - 2024

Bibliographical note

This is an Accepted Manuscript version of the following article, accepted for publication in International Journal of Logistics Research and Applications. Tseng, M-L, Tran, TPT, Fujii, M, Lim, M & Negash, YT 2021, 'Modelling hierarchical circular supply chain management enablers in the seafood processing industry in Vietnam under uncertainties', International Journal of Logistics Research and Applications, vol. (In-Press), pp. (In-Press).

It is deposited under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.

Funder

This study is partially supported by Ministry of Science and Technology, Taiwan. The grant number is 109-2622-E-468 -002 -

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

ASJC Scopus subject areas

  • Information Systems
  • Management of Technology and Innovation
  • Control and Systems Engineering
  • Business and International Management
  • Management Information Systems
  • Computer Science Applications
  • Strategy and Management
  • Management Science and Operations Research

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