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

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Abstract

Blockchain 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.

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Correspondence to Sumit Gupta.

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We Authors of the manuscript entitle “Modelling Challenges of Blockchain Technology enabled Healthcare Sustainable Supply Chain Management: A Modified-Total Interpretive Structural Modelling approach” declare that. The authors have no relevant financial or non-financial interests to disclose. The authors have no competing interests to declare that are relevant to the content of this article. All authors certify that they have no affiliations with or involvement in any organization or entity with any financial interest or non-financial interest in the subject matter or materials discussed in this manuscript. The authors have no financial or proprietary. There is no conflict of interest regarding the publication of this manuscript.

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Appendix I: Detailed information about experts

Appendix I: Detailed information about experts

S.N

Expert Domain

Years of Experience

Qualification

Designation

1

IT person in Supply Chain Management firm (Using BCT)

18

B.E. in Computer Science

Chief Supply Chain Officer

2

13

B.E. in Computer Science

Supply Chain Analyst

3

7

B.E. in Computer Science

Manager

4

8

B.Tech in Information Technology

Manger

5

8

B.Tech in Information Technology

Manager

6

Hospital Management

15

 

Hospital administrator

7

14

 

Hospital administrator

8

11

Bachelor of Hospital Management

Hospital operations administrator

9

9

Bachelor of Hospital Management

Hospital operations administrator

10

Hospital Inventory

15

MBA

Procurement Officer

11

10

MBA

Procurement Officer

12

Academician in Supply Chain

14

Ph.D

Professor

13

8

Ph.D

Associate Professor

14

Academician in Medical College

13

Ph.D

Dean

15

13

Ph.D

Dean

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Vishwakarma, A., Dangayach, G.S., Meena, M.L. et al. Modelling challenges of blockchain technology enabled healthcare sustainable supply chain management: a modified-total interpretive structural modelling approach. Oper Manag Res 16, 1781–1790 (2023). https://doi.org/10.1007/s12063-023-00386-9

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  • DOI: https://doi.org/10.1007/s12063-023-00386-9

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