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

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.

Enhancing 5G Antenna Manufacturing Efficiency and Reliability through Blockchain and Smart Contract Integration: A Comprehensive AHP Analysis

“…This technology has found its applications spanning various sectors, from finance, where it revolutionizes payments and trading, to manufacturing, where it streamlines supply chains, and even to realms like smart cities and healthcare. Blockchain's versatility and security have made it a technology that holds diverse meanings and enormous potential for the future, promising to play an increasingly vital role across multiple domains [49][50][51][52][53][54][55][56][57][58][59][60][61][62][63][64][65].…”

Applying Blockchain, Causal Loop Diagrams, and the Analytical Hierarchy Process to Enhance Fifth-Generation Ceramic Antenna Manufacturing: A Technology–Organization–Environment Framework Approach

“…In manufacturing, it fosters trust and efficiency, supporting transparent peer-to-peer transactions and ensuring data immutability and security. Its decentralized nature has extended to industries like carsharing and medical information exchanges, showcasing its potential as a cross-industry catalyst [21][22][23][24][25][26].…”

Navigating the landscape of public–private partnership research: a novel review using latent Dirichlet allocation

“…The model posits that documents are a concoction of multiple topics and strives to identify these topics through patterns and co-occurrences of words (Li et al, 2016). This method facilitates an organised and thorough review of extensive scholarly works and provides a sound methodological foundation for detecting topics in the PPP field (Guo et al, 2017;Rejeb et al, 2023c). In our methodology section, we have clarified the use of LDA for our analysis.…”

“…In response to the limitations of traditional analyses in capturing the complexities of PPP research, this study adopts a mixed-method approach combining Latent Dirichlet Allocation (LDA) and bibliometrics. LDA stands out as a sophisticated analytical tool that complements and extends the capabilities of systematic reviews and bibliometric analyses (Rejeb et al, 2023c). It allows for a more dynamic, granular, and contextually-nuanced investigation of PPP.…”