Evidence-driven model for implementing Blockchain in food supply chains

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Abstract

Blockchain technology has been identified as a possible solution to address critical challenges faced by the food sector. Building on the potential of Blockchain within Food Supply Chains (FSC), this study aims to develop an evidence-based implementation model for Blockchain in the food industry. Innovation Adoption and other prominent theories are integrated to first develop a conceptual framework, which is later validated following an analysis of the qualitative data. Fifteen semi-structured expert interviews are used to develop an evidence-driven, applied model for implementing Blockchain; providing detailed insights into typical stages, associated activities, and contextual determinants needed for successful integration. An empirically validated implementation model advances the extant academic literature and further provides a detailed roadmap for food practitioners, while initiating Blockchain projects with their firms and/or supply chains.

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Vu, N., Ghadge, A., & Bourlakis, M. (2023). Evidence-driven model for implementing Blockchain in food supply chains. International Journal of Logistics Research and Applications, 26(5), 568–588. https://doi.org/10.1080/13675567.2022.2115987

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