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Sustainable Supply Chain Management Framework in a Higher Education Laboratory using Intuitionistic Fuzzy Cognitive Map

Muhammad Ridwan Andi Purnomo, Adhe Anugerah () and Bella Taradipa Dewipramesti

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Abstract: Purpose: This research aims to develop framework in the sustainable supply chain management (SCM) and to provide causal model of service industry specifically in higher education laboratory. Design/methodology/approach: The concepts of sustainable SCM in higher education laboratory were obtained by in-depth interviews and organized using Delphi method. While to identify the relationship between concepts, intuitionistic fuzzy cognitive map was utilized. Findings: As many as 15 concepts were identified to assess sustainability in the higher education laboratory SCM. These 15 concepts were classified into four categories according to its importance level, and there are two most important concepts: legal requirement and social responsibility. It is recommended for higher education laboratories to constantly obey national and regional government regulations and to satisfy current and prospective employers by providing work-ready graduates. This suggestion is expected to make higher education achieving its sustainability goals. Originality/value: this research has identified factors that can help university laboratories achieve their sustainability by using combined methods. Greater and more accurate insight in determining the most important factor in the sustainable education can be identified.

Keywords: causal model; intuitionistic fuzzy cognitive map; laboratory; service supply chain; sustainable (search for similar items in EconPapers)
Date: 2020-07-27
New Economics Papers: this item is included in nep-agr, nep-edu and nep-sea
Note: View the original document on HAL open archive server: https://hal.science/cirad-02907401
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Published in Journal of Industrial Engineering and Management, 2020, 13 (2), pp.417-429. ⟨10.3926/jiem.3204⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:cirad-02907401

DOI: 10.3926/jiem.3204

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