Disruptive Technologies for Achieving Supply Chain Resilience in COVID-19 Era: An Implementation Case Study of Satellite Imagery and Blockchain Technologies in Fish Supply Chain

Tuhin Sengupta (), Gopalakrishnan Narayanamurthy (), Roger Moser (), Vijay Pereira () and Devleena Bhattacharjee ()
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Tuhin Sengupta: Indian Institute of Management Ranchi
Gopalakrishnan Narayanamurthy: University of Liverpool Management School
Roger Moser: Macquarie University
Vijay Pereira: Neoma Business School
Devleena Bhattacharjee: Numer8

Information Systems Frontiers, 2022, vol. 24, issue 4, No 4, 1107-1123

Abstract: Abstract In supply chains where stakeholders belong to the economically disadvantaged segment and form an important part of the supply chain distribution, the complexities grow manifold. Fisheries in developing nations are one such sector where the complexity is not only due to the produce being perishable but also due to the livelihood dependence of others in the coastal regions that belong to the section of economically disadvantaged. This paper explains the contextual challenges of fish supply chain in a developing country and describes how integrating disruptive technologies can address those challenges. Through a positive deviance approach, we show how firms can help unorganized supply chains with economically disadvantaged suppliers by carefully redesigning the supply chain through the integration of satellite imagery and blockchain technology. With COVID-19 in the backdrop, we highlight how such technologies significantly improves the supply chain resilience and at the same time contributes to the income generating opportunities of poor fisherfolks in developing nations. Our study has important implications to both developing markets and food supply chain practitioners as this paper tackles issues such as perishability, demand-supply mismatch, unfair prices, and quality related data transparency in the entire value chain.

Keywords: Disruptive technology; Satellite imagery; Blockchain; Seafood supply chain; Resilience; Positive deviance; Pandemic (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s10796-021-10228-3

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