The DOI matches its Crossref record; 83 of the 83 references it cites were found in a registry or an index.
Artificial Intelligence and Blockchain Integration in Business: Trends from a Bibliometric-Content Analysis
Open accessAbstract
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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Cites
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Self-citationBitcoin: A Peer-to-Peer Electronic Cash System
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Cited by
A review of Blockchain Technology applications for financial services
Javaid, M., Haleem, A., Singh, R. P., Suman, R., & Khan, S. (2022) · BenchCouncil Transactions on Benchmarks, Standards and Evaluations · doi:10.1016/j.tbench.2022.100073 · Cited by 470
Sustainability reporting and greenwashing: A bibliometrics assessment in G7 and non-G7 nations
Sundarasen, S., Zyznarska-Dworczak, B., & Goel, S. (2024) · Cogent Business & Management · doi:10.1080/23311975.2024.2320812 · Cited by 39
Electronic shopping cart abandonment: What do we know and where should we be heading?
Chopra, I. P., Jebarajakirthy, C., Jain, T., & Maseeh, H. I. (2024) · Electronic Markets · doi:10.1007/s12525-024-00697-0 · Cited by 36
Moin, M. F., Behl, A., Zhang, J. Z., & Shankar, A. (2025) · Information Systems Frontiers · doi:10.1007/s10796-024-10561-3 · Cited by 29
AI and sustainable business model innovation: A systematic literature review
Sharma, A., Khokhar, M., Duan, Y., Bibi, M., Sharma, R., & Muhammad, B. (2025) · Sustainable Futures · doi:10.1016/j.sftr.2025.101204 · Cited by 19
Metadata
- Authors
- Kumar, S., Lim, W. M., Sivarajah, U., & Kaur, J.
- Venue
- Information Systems Frontiers
- Published
- 2022-04-12
- Volume
- 25
- Issue
- 2
- Pages
- 871-896
- ISSN
- 1387-3326 (ISSN-L)
- 1572-9419
- OpenAlex
- W4223504512
- Cited by
- 359
- References
- 83
- FWCI
- 75.40
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Kumar, S., Lim, W. M., Sivarajah, U., & Kaur, J. (2022). Artificial Intelligence and Blockchain Integration in Business: Trends from a Bibliometric-Content Analysis. Information Systems Frontiers. https://doi.org/10.1007/s10796-022-10279-0
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
