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Modelling perceived risk in blockchain enabled supply chain utilizing fuzzy-AHP

Sagar Dua (QT-OM, FORE School of Management, New Delhi, India)
Mohita Gangwar Sharma (Centre for Operations and Supply Chain (COSCM), FORE School of Management, New Delhi, India)
Vinaytosh Mishra (College of Healthcare Management and Economics, Gulf Medical University, Ajman, United Arab Emirates)
Sourabh Devidas Kulkarni (COSCM, FORE School of Management, New Delhi, India)

Journal of Global Operations and Strategic Sourcing

ISSN: 2398-5364

Article publication date: 10 August 2022

Issue publication date: 7 March 2023




Blockchain has been considered a disrupting technology that can add value in various supply chains differently. The provenance framework matches the four blockchain capabilities of traceability, certifiability, trackability and verifiability to the five generic risks, namely, the financial risk, psychological risk, social risk, physical risk and performance risk. This will help in uncording which specific risk gets mitigated by the use of blockchain in a specific supply chain.


This study illustrates four supply chains, namely, pharmaceutical industry, fast moving consumer goods industry, precious metal and automotive industry, and maps the risks associated with them to the provenance framework wherein the applicability of blockchain is mapped. Fuzzy analytical hierarchical processing (F-AHP) is used to rank the risks in the supply chain.


Blockchain capabilities can elevate the provenance knowledge leading to assurance in terms of origin, authenticity, custody and integrity to mitigate the supply chain risks. Present work highlights the thrust areas across various supply chains and identifies the risk priority tasks aligning the contextual supply chain risks. This study has covered five major risk perceptions. This study contributes to the literature on blockchain, customer perceived risk, provenance and supply chain.

Practical implications

This methodology can be adopted to understand and market the application of blockchain in a supply chain. It brings the marketers and marketing perspective to the supply chain. Exhaustive risk perception can be included to get more comprehensive data on mapping the risks along different supply chains. Vertical extensions of this work can be consideration of other supply chains including dairy, fruits and vegetables, electronics and component assemblies to derive the comprehensive framework for mapping risk perceptions and thereby supply chain risk mitigation through blockchain technology.


This linkage between blockchain, perceived risk, applications in the supply chain and a tool to convince the customers about the blockchain applicability has not been discussed in the literature. Adopting the multi-criteria decision-making F-AHP approach, this study attempt to rank the risks and stimulate conversations around a common framework for multiple sectors.



The infrastructural support provided to the authors by FORE School of Management, New Delhi is gratefully acknowledged.


Dua, S., Sharma, M.G., Mishra, V. and Kulkarni, S.D. (2023), "Modelling perceived risk in blockchain enabled supply chain utilizing fuzzy-AHP", Journal of Global Operations and Strategic Sourcing, Vol. 16 No. 1, pp. 161-177.



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