Abstract
AbstractArtificial 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.
Funder
Swinburne University of Technology
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Information Systems,Theoretical Computer Science,Software
Reference95 articles.
1. Abdullah, S., Rothenberg, S., Siegel, E., & Kim, W. (2020). School of block–review of blockchain for the radiologists. Academic Radiology, 27(1), 47–57.
2. Agarwal, Y., Jain, M., Sinha, S., & Dhir, S. (2020). Delivering high-tech, AI-based health care at Apollo hospitals. Global Business and Organizational Excellence, 39(2), 20–30.
3. Alagu Vignesh, A., & Harini, N. (2019). Diminishing spread of false message in twitter using block chain and machine learning. International Journal of Engineering and Advanced Technology, 9(1), 2249–8958.
4. Alahakoon, D., Nawaratne, R., Xu, Y., De Silva, D., Sivarajah, U., & Gupta, B. (2020). Self-building artificial intelligence and machine learning to empower big data analytics in smart cities. Information Systems Frontiers. https://doi.org/10.1007/s10796-020-10056-x
5. Alnafrah, I., Bogdanova, E., & Maximova, T. (2019). Text mining as a facilitating tool for deploying blockchain technology in the intellectual property rights system. International Journal of Intellectual Property Management, 9(2), 120–135.
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