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

作者信息

Kumar Satish, Lim Weng Marc, Sivarajah Uthayasankar, Kaur Jaspreet

机构信息

Department of Management Studies, Malaviya National Institute of Technology, Jaipur, Rajasthan 302017 India.

Faculty of Business, Design and Arts, Swinburne University of Technology, Jalan Simpang Tiga, 93350 Kuching, Sarawak Malaysia.

出版信息

Inf Syst Front. 2023;25(2):871-896. doi: 10.1007/s10796-022-10279-0. Epub 2022 Apr 12.


DOI:10.1007/s10796-022-10279-0
PMID:35431617
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9005027/
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.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12b3/9005027/2aaa078c02fc/10796_2022_10279_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12b3/9005027/b0990f6daf0c/10796_2022_10279_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12b3/9005027/b8ebdf2b1c1c/10796_2022_10279_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12b3/9005027/830bdb693436/10796_2022_10279_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12b3/9005027/480eeac5838f/10796_2022_10279_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12b3/9005027/ef0ffdeec961/10796_2022_10279_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12b3/9005027/1913a3950799/10796_2022_10279_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12b3/9005027/9a0124f6baba/10796_2022_10279_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12b3/9005027/a07c2258b288/10796_2022_10279_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12b3/9005027/89fc1feab79e/10796_2022_10279_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12b3/9005027/2aaa078c02fc/10796_2022_10279_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12b3/9005027/b0990f6daf0c/10796_2022_10279_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12b3/9005027/b8ebdf2b1c1c/10796_2022_10279_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12b3/9005027/830bdb693436/10796_2022_10279_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12b3/9005027/480eeac5838f/10796_2022_10279_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12b3/9005027/ef0ffdeec961/10796_2022_10279_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12b3/9005027/1913a3950799/10796_2022_10279_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12b3/9005027/9a0124f6baba/10796_2022_10279_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12b3/9005027/a07c2258b288/10796_2022_10279_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12b3/9005027/89fc1feab79e/10796_2022_10279_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12b3/9005027/2aaa078c02fc/10796_2022_10279_Fig10_HTML.jpg

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[2]
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[3]
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[4]
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