Modelling challenges of blockchain technology enabled healthcare sustainable supply chain management: a modified-total interpretive structural modelling approach

Simple item page
dc.contributor.authorVishwakarma, Amit
dc.contributor.authorDangayach, G. S.
dc.contributor.authorMeena, M. L.
dc.contributor.authorKumar Jindal, Manish
dc.contributor.authorGupta, Sumit
dc.contributor.authorJagtap, Sandeep
dc.date.accessioned2023-08-04T10:24:06Z
dc.date.available2023-08-04T10:24:06Z
dc.date.issued2023-06-14
dc.description.abstractBlockchain technology (BCT) is beneficial for the Healthcare Sustainable Supply Chain (HSSC), and the adoption of this technology provides many benefits improving the performance of the supply chain, effortless information sharing, mitigation of data modification, etc. On the contrary, this study focuses on the various challenges that come in the path while adopting the BCT. For this, the present study initially identified the multiple challenges from the in-depth literature review. Then, the Delphi method was applied for further analysis and scalability of each challenge. Afterward, Modified-Total Interpretive Structural Modeling (M-TISM) approach is used for identifying the criticality of challenges based on the classification of challenges into different levels. This operation provides the driving and dependence power of each challenge.Furthermore, MICMAC (Cross-Impact Matrix Multiplication Analysis) analysis was performed. At the end of the analysis, the authors found the six critical challenges related to the adoption of BCT in the Healthcare Sustainable Supply Chain (HSSC). These critical challenges are the Economical Challenge (C3), Stakeholder commitment and careful handling of BCT (C2), Combining SSCM practices to BCT(C7), Lack of government intentions to promote BCT in SCM (C6), Data Security threat (C1) and Poor infrastructure for the adoption of BCT (C4). The stakeholders of HSSC should make an effort to control them on a priority basis. In addition to this, the authors also provided the practical implication of the study and future research direction for better adoption of BCT in the Healthcare Sustainable Supply Chain.en_UK
dc.identifier.citationVishwakarma A, Dangayach GS, Meena ML, et al., (2023) Modelling challenges of blockchain technology enabled healthcare sustainable supply chain management: a modified-total interpretive structural modelling approach. Operations Management Research, Volume 16, December 2023, pp. 1781-1790en_UK
dc.identifier.issn1936-9735
dc.identifier.urihttps://doi.org/10.1007/s12063-023-00386-9
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/20041
dc.language.isoenen_UK
dc.publisherSpringeren_UK
dc.subjectSustainable Supply Chain Management (SSCM)en_UK
dc.subjectBlockchain Technology (BCT)en_UK
dc.subjectModified-Total Interpretive Structural Modeling (M-TISM)en_UK
dc.titleModelling challenges of blockchain technology enabled healthcare sustainable supply chain management: a modified-total interpretive structural modelling approachen_UK
dc.typeArticleen_UK

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Modelling_challenges_of_blockchain_technology-2023.pdf
Size:
1.55 MB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.63 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Staff publications (SATM)