Artificial Intelligence and Blockchain Integration in Business: Trends from a Bibliometric-Content Analysis

被引:0
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作者
Satish Kumar
Weng Marc Lim
Uthayasankar Sivarajah
Jaspreet Kaur
机构
[1] Malaviya National Institute of Technology,Department of Management Studies
[2] Swinburne University of Technology,Faculty of Business, Design and Arts
[3] Swinburne University of Technology,School of Business, Law and Entrepreneurship
[4] University of Bradford,School of Management, Faculty of Management, Law and Social Sciences
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关键词
Artificial intelligence; Blockchain; Business; Fourth industrial revolution; IR 4.0; Integration; Trends;
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摘要
Artificial intelligence (AI) and blockchain are the two disruptive technologies emerging from the Fourth Industrial Revolution (IR4.0) that have introduced radical shifts in the industry. The amalgamation of AI and blockchain holds tremendous potential to create new business models enabled through digitalization. Although research on the application and convergence of AI and blockchain exists, our understanding of the utility of its integration for business remains fragmented. To address this gap, this study aims to characterize the applications and benefits of integrated AI and blockchain platforms across different verticals of business. Using bibliometric analysis, this study reveals the most influential articles on the subject based on their publications, citations, and importance in the intellectual network. Using content analysis, this study sheds light on the subject’s intellectual structure, which is underpinned by four major thematic clusters focusing on supply chains, healthcare, secure transactions, and finance and accounting. The study concludes with 10 application areas in business that can benefit from these technologies.
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页码:871 / 896
页数:25
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