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Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/13121
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dc.contributor.authorKota, Srinivas-
dc.date.accessioned2023-11-16T08:48:50Z-
dc.date.available2023-11-16T08:48:50Z-
dc.date.issued2022-02-
dc.identifier.urihttps://www.tandfonline.com/doi/full/10.1080/21693277.2021.1990155-
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/13121-
dc.description.abstractThe main purpose of this paper is to study the critical success factors (CSFs) of the blockchain technology (BCT) adoption in green supply chain management (GSCM) which might be literally afirst attempt and also propose aconceptual framework of aGSCM model adopting the BCT, which will be promoting the combination of these two areas in the future. Acritical literature review of the BCT, GSCM, and BCT-based GSCM was conducted to identify the most relevant factors of BCT adoption, followed by the model formulation with the help of interpretive structural modelling (ISM) consisting of CSFs and relationships between those based on experts’ views. The overall results emphasized that ‘recording and trading’-related factors may contribute to the BCT adoption, while others like smart contract must be enhanced. This study supports previous conceptual work on BCT and GSCM and could serve as astarting point to assist in decision-making.en_US
dc.language.isoenen_US
dc.publisherTaylor & Francisen_US
dc.subjectMechanical Engineeringen_US
dc.subjectBlockchainen_US
dc.subjectGreen supply chain management (GSCM)en_US
dc.subjectCritical success factorsen_US
dc.subjectInterpretive structural modelling (ISM)en_US
dc.titleCritical Success Factors of Blockchain adoption in Green Supply Chain Management: Contribution through an Interpretive Structural Modelen_US
dc.typeArticleen_US
Appears in Collections:Department of Mechanical engineering

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