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Building a hierarchical framework of corporate sustainability transition challenges using the qualitative information approach

PurposeThis study aims to form a valid measure and hierarchical framework to achieve corporate sustainability transitions (CSTs).Design/methodology/approachThe fuzzy Delphi method (FDM) is applied to validate and eliminate challenges in sustainability transition regarding qualitative information. Fu...

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Bibliographic Details
Published in:Industrial management + data systems 2021-04, Vol.121 (5), p.1107-1141
Main Authors: Tseng, Ming-Lang, Kurrahman, Taufik, Hanita, Asik, Lim, Ming K, Negash, Yeneneh Tamirat
Format: Article
Language:English
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Summary:PurposeThis study aims to form a valid measure and hierarchical framework to achieve corporate sustainability transitions (CSTs).Design/methodology/approachThe fuzzy Delphi method (FDM) is applied to validate and eliminate challenges in sustainability transition regarding qualitative information. Fuzzy interpretive structural modeling (FISM) is used to build a hierarchical framework under uncertainties.FindingsThis study finds that technology investment, data management, eco-management and sociospatial embedding challenges are the highest hierarchical framework levels and affect CST.Practical implicationsA lack of awareness and knowledge, a lack of commitment, a lack of strategy, tolerance of unsustainable practices, a lack of stakeholder participation and a fragmented market are perceived as the challenges that show the highest driving and dependence power. These challenges serve as a reference for government and construction firms in the transition to sustainable corporate practices.Originality/valueUnsustainable corporate practices have caused large amounts of energy consumption, resource depletion and environmental impacts. There are challenges in transitioning to corporate sustainability that must be addressed. The most significant challenges that need to be solved to facilitate the transition to corporate sustainability are identified and arranged in a hierarchical model. By identifying the hierarchical relationships among the challenges, a theoretical framework that extends the existing models is developed to assist decision-makers.
ISSN:0263-5577
1758-5783
DOI:10.1108/IMDS-08-2020-0471