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    Artificial intelligence and blockchain integration in business: Trends from a bibliometric-content analysis

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    Publication date
    2022-04-12
    Author
    Kumar, S.
    Lim, W.M.
    Sivarajah, Uthayasankar
    Kaur, J.
    Keyword
    Artificial intelligence
    AI
    Blockchain
    Business
    Fourth industrial revolution
    IR 4.0
    Integration
    Trends
    Rights
    (c) 2022 The Authors. This is an Open Access article distributed under the Creative Commons CC-BY license (http://creativecommons.org/licenses/by/4.0/)
    Peer-Reviewed
    Yes
    Open Access status
    openAccess
    
    Metadata
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    Abstract
    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.
    URI
    http://hdl.handle.net/10454/18877
    Version
    Published version
    Citation
    Kumar S, Lim WM, Sivarajah U et al (2022) Artificial intelligence and blockchain integration in business: Trends from a bibliometric-content analysis. Information Systems Frontiers.
    Link to publisher’s version
    https://doi.org/10.1007/s10796-022-10279-0
    Type
    Article
    Collections
    Management and Law Publications

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