Blockchain in the Food Industry: Integrating Machine Learning in a Systematic Literature Review

Authors

Juan M. Gómez, Toronto Metropolitan UniversityFollow
Omar H. Fares, Toronto Metropolitan University
Myuri Mohan, Toronto Metropolitan University
Seung Hwan Lee, Toronto Metropolitan University

Document Type

Article

Abstract

This study provides a systematic literature review of blockchain technology in the food industry with a supply chain lens. We identify primary and sub-themes, discuss implications and applications in terms of delivering value and propose literature-informed future research directions. This review uncovered three primary themes: a) Value Creation; b) Supply Chain Digitization; and c) Transformation. It demonstrates that digitalizing food networks with blockchain technology may benefit from increased stakeholder involvement and data visibility to gain competitive advantage. Beyond the theoretical contributions, this research provides a methodological contribution by demonstrating the uses of machine learning techniques to perform systematic literature reviews.

Recommended Citation

Gómez, Juan M.; Fares, Omar H.; Mohan, Myuri; and Lee, Seung Hwan (2023) "Blockchain in the Food Industry: Integrating Machine Learning in a Systematic Literature Review," Journal of International Technology and Information Management: Vol. 32: Iss. 1, Article 2.
DOI: https://doi.org/10.58729/1941-6679.1569
Available at: https://scholarworks.lib.csusb.edu/jitim/vol32/iss1/2