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

Author

Listed:
  • Satish Kumar

    (Malaviya National Institute of Technology
    Swinburne University of Technology)

  • Weng Marc Lim

    (Swinburne University of Technology
    Swinburne University of Technology)

  • Uthayasankar Sivarajah

    (University of Bradford)

  • Jaspreet Kaur

    (Malaviya National Institute of Technology)

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.

Suggested Citation

  • Satish Kumar & Weng Marc Lim & Uthayasankar Sivarajah & Jaspreet Kaur, 2023. "Artificial Intelligence and Blockchain Integration in Business: Trends from a Bibliometric-Content Analysis," Information Systems Frontiers, Springer, vol. 25(2), pages 871-896, April.
    • Handle: RePEc:spr:infosf:v:25:y:2023:i:2:d:10.1007_s10796-022-10279-0
    DOI: 10.1007/s10796-022-10279-0
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    References listed on IDEAS

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    23. Donthu, Naveen & Kumar, Satish & Pandey, Neeraj & Pandey, Nitesh & Mishra, Akanksha, 2021. "Mapping the electronic word-of-mouth (eWOM) research: A systematic review and bibliometric analysis," Journal of Business Research, Elsevier, vol. 135(C), pages 758-773.
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    Cited by:

    1. Muhammad Farrukh Shahzad & Shuo Xu & Weng Marc Lim & Muhammad Faisal Hasnain & Shahneela Nusrat, 2024. "Cryptocurrency awareness, acceptance, and adoption: the role of trust as a cornerstone," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-14, December.
    2. Elahe Hosseini & Alireza Rajabipoor Meybodi, 2023. "Proposing a Model for Sustainable Development of Creative Industries Based on Digital Transformation," Sustainability, MDPI, vol. 15(14), pages 1-30, July.
    3. Su Yi & Muhammad Rabnawaz & Waqar Jalal & Ali Zeb, 2023. "The Nexus between Foreign Competition and Buying Innovation: Evidence from China’s High-Technology Industry," Sustainability, MDPI, vol. 15(15), pages 1-27, July.

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