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Review

Exploring Blockchain Research in Supply Chain Management: A Latent Dirichlet Allocation-Driven Systematic Review

1
Department of Management and Law, Faculty of Economics, University of Rome Tor Vergata, Via Columbia, 2, 00133 Rome, Italy
2
Faculty of Sciences of Bizerte, University of Carthage, Bizerte 7021, Tunisia
3
Systems Engineering Department, Colorado State University, Fort Collins, CO 80523, USA
4
McGill Centre for the Convergence of Health and Economics, McGill University, 680 Sherbrooke, St. W., Montreal, QC H3A 0B8, Canada
*
Author to whom correspondence should be addressed.
Information 2023, 14(10), 557; https://doi.org/10.3390/info14100557
Submission received: 4 September 2023 / Revised: 5 October 2023 / Accepted: 7 October 2023 / Published: 12 October 2023
(This article belongs to the Special Issue Blockchain, Technology and Its Application)

Abstract

Blockchain technology has emerged as a tool with the potential to enhance transparency, trust, security, and decentralization in supply chain management (SCM). This study presents a comprehensive review of the interplay between blockchain technology and SCM. By analyzing an extensive dataset of 943 articles, our exploration utilizes the Latent Dirichlet Allocation (LDA) method to delve deep into the thematic structure of the discourse. This investigation revealed ten central topics ranging from blockchain’s transformative role in supply chain finance and e-commerce operations to its application in specialized areas, such as the halal food supply chain and humanitarian contexts. Particularly pronounced were discussions on the challenges and transformations of blockchain integration in supply chains and its impact on pricing strategies and decision-making. Visualization tools, including PyLDAvis, further illuminated the interconnectedness of these themes, highlighting the intertwined nature of blockchain adoption challenges with aspects such as traceability and pricing. Despite the breadth of topics covered, the paper acknowledges its limitations due to the fast-evolving nature of blockchain developments during and after our analysis period. Ultimately, this review provides a holistic academic snapshot, emphasizing both well-developed and nascent research areas and guiding future research in the evolving domain of blockchain in SCM.
Keywords: blockchain technology; supply chain management; traceability; supply chain finance; e-commerce; topic modeling blockchain technology; supply chain management; traceability; supply chain finance; e-commerce; topic modeling

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MDPI and ACS Style

Rejeb, A.; Rejeb, K.; Simske, S.; Keogh, J.G. Exploring Blockchain Research in Supply Chain Management: A Latent Dirichlet Allocation-Driven Systematic Review. Information 2023, 14, 557. https://doi.org/10.3390/info14100557

AMA Style

Rejeb A, Rejeb K, Simske S, Keogh JG. Exploring Blockchain Research in Supply Chain Management: A Latent Dirichlet Allocation-Driven Systematic Review. Information. 2023; 14(10):557. https://doi.org/10.3390/info14100557

Chicago/Turabian Style

Rejeb, Abderahman, Karim Rejeb, Steve Simske, and John G. Keogh. 2023. "Exploring Blockchain Research in Supply Chain Management: A Latent Dirichlet Allocation-Driven Systematic Review" Information 14, no. 10: 557. https://doi.org/10.3390/info14100557

APA Style

Rejeb, A., Rejeb, K., Simske, S., & Keogh, J. G. (2023). Exploring Blockchain Research in Supply Chain Management: A Latent Dirichlet Allocation-Driven Systematic Review. Information, 14(10), 557. https://doi.org/10.3390/info14100557

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