Risks to Big Data Analytics and Blockchain Technology Adoption in Supply Chains

Vaibhav S. Narwane (), Rakesh D. Raut (), Sachin Kumar Mangla (), Manoj Dora () and Balkrishna E. Narkhede ()
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Vaibhav S. Narwane: K. J. Somaiya College of Engineering
Rakesh D. Raut: National Institute of Industrial Engineering (NITIE), Vihar Lake, NITIE
Sachin Kumar Mangla: O P Jindal Global University
Manoj Dora: Brunel University London
Balkrishna E. Narkhede: National Institute of Industrial Engineering (NITIE), Vihar Lake, NITIE

Annals of Operations Research, 2023, vol. 327, issue 1, No 10, 339-374

Abstract: Abstract Supply chains (SCs) are susceptible to risks because of their dynamic and complex nature. Big data analytics (BDA) through blockchain technology (BCT) can significantly contribute to managing SC risks. However, to date, the combined effect of BDA-BCT for SC risks has not been investigated extensively in the literature. This paper aims to identify the risk factors of the BDA-BCT initiative for Indian manufacturing organisations. Through the literature and experts’ judgments, sixteen risk factors were identified. Data was collected from machine tool, automobile component, and electrical manufacturing organisations. Further interrelations between risk factors were evaluated using the grey DEMATEL approach. The results show that ‘supply chain visibility risks’, ‘infrastructure and development costs’, ‘demand forecasting and sensing risks’, ‘data privacy and security risks’, ‘policy and legality related risks’, and ‘supply chain resilience’ were identified as common factors in the adoption of BDA-BCT practices by the three organisations. The cause-effect relationship between risk factors can assist managers, suppliers, service providers, and policymakers in the significant adoption of BDA-BCT in the context of manufacturing organisations. The study provides a novel way to utilise BDA-BCT in minimising supply chain risks. Limitations of the study are that it was conducted only for Indian organizations. In the future, the findings of the study can be validated through empirical analysis.

Keywords: Big data; Blockchain technology; Supply chain; Risk-factors; Grey-DEMATEL (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s10479-021-04396-3

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