To read the full version of this content please select one of the options below:

Causality seafood processing circular supply chain capabilities in qualitative data analytics

Ming-Lang Tseng (Institute of Innovation and Circular Economy, Asia University, Taichung, Taiwan) (Department of Medical Research, China Medical University, Taichung, Taiwan) (Faculty of Economic and Management, University Kebangsaan Malaysia, Bangi, Malaysia)
Thi Phuong Thuy Tran (Department of Business Administration, Asia University, Taichung, Taiwan) (Foreign Trade University, Ho Chi Minh, Vietnam)
Kuo-Jui Wu (School of Management, National Taiwan University of Science and Technology, Taipei, Taiwan)
Bing Xue (Institute for Advanced Sustainability Studies (IASS), Potsdam, Germany)
Xiaobo Chen (Dongbei University of Finance and Economics, Dalian, China)

Industrial Management & Data Systems

ISSN: 0263-5577

Article publication date: 7 September 2021



This study establishes a set of seafood processing circular supply chain capabilities (CSCCs) in Vietnam using qualitative data analytics. This study specifies the interrelationships and hierarchical structure comprising six aspects and 24 criteria for the seafood processing circular supply chain in Vietnam.


Fuzzy Delphi method is used to confirm the validity. Fuzzy set theory is used to deal with the complexity and uncertainties from the qualitative information. The decision-making trial and evaluation laboratory method is used to examine the interrelationships among attributes. The analytical network process segregates (or displays) the capabilities in a hierarchical structure.


The results show that management control and technological capability dominate in circular design, circular sourcing, circular production and resource recovery. In practices, the strategic planning, action planning, information technology and technological facilities are important to seafood processing industry.


The CSCCs are pivotal in establishing a concrete foundation for the execution of circular supply chain management, with the aim of optimizing resource utilization and eliminating waste; however, prior studies have lacked a focus on the capability associated interrelationships and hierarchical structure in qualitative data analytics.



This study was partially supported by the Ministry of Science and Technology, Taiwan with grant number 109-2222-E-011-012.


Tseng, M.-L., Tran, T.P.T., Wu, K.-J., Xue, B. and Chen, X. (2021), "Causality seafood processing circular supply chain capabilities in qualitative data analytics", Industrial Management & Data Systems, Vol. ahead-of-print No. ahead-of-print.



Emerald Publishing Limited

Copyright © 2021, Emerald Publishing Limited