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  Causality seafood processing circular supply chain capabilities in qualitative data analytics

Tseng, M.-L., Tran, T. P. T., Wu, K.-J., Xue, B., Chen, X. (2021 online): Causality seafood processing circular supply chain capabilities in qualitative data analytics. - Industrial management & data systems.
https://doi.org/10.1108/IMDS-06-2021-0357

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Item Permalink: https://publications.iass-potsdam.de/pubman/item/item_6001204 Version Permalink: https://publications.iass-potsdam.de/pubman/item/item_6001204_1
Genre: Journal Article

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 Creators:
Tseng, Ming-Lang1, Author
Tran, Thi Phuong Thuy1, Author
Wu, Kuo-Jui1, Author
Xue, Bing2, Author              
Chen, Xiaobo1, Author
Affiliations:
1External Organizations, ou_persistent22              
2IASS Institute for Advanced Sustainability Studies Potsdam, ou_96022              

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Free keywords: Circular supply chain capabilities, Resource-based view, Qualitative data analytic, Decision-making trial and evaluation laboratory method, Analytical network process
 Abstract: Purpose 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. Design/methodology/approach 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. Findings 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. Originality/value 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.

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Language(s): eng - English
 Dates: 2021-092021-09-07
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1108/IMDS-06-2021-0357
 Degree: -

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Title: Industrial management & data systems
Source Genre: Journal, E14, SCI, Scopus
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Publ. Info: Bingley : Emerald Group Publishing Limited
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: ISSN: 0263-5577
ISSN: 1758-5783
CoNE: https://publications.iass-potsdam.de/cone/journals/resource/20210914a