JOURNAL ARTICLE

Bibliometric Content Analysis on Blockchain and Artificial Intelligence Integration in Business

Abstract

The market is experiencing substantial shifts because of two crucial Fourth Industrial Revolution innovations, AI and blockchain. Customers stand to benefit from blockchain technologies powered by AI because these advanced systems provide new ways to build business models as digitization advances. Research studies about blockchain and AI integration continue to appear; however, the essential business value of such integration remains vague to many. This research strives to identify multiple vertical business aspects where integrated AI and blockchain solutions bring benefits and uses, yet no studies exist to address this shortage. The study determines significant works about this subject through bibliometric analysis, which considers publication frequency, citation data, and network-based intellectual influence. The research discovered four main theme clusters in its content analysis of the subject matter that focus on supply chains, secure transactions, healthcare provisions, finance, and accounting applications. The research identifies ten business applications that could profit from applying these techniques according to its final point.

Keywords:
Blockchain Digitization Business model Business intelligence Competitive intelligence Subject (documents) Vertical integration Bibliometrics

Metrics

0
Cited By
0.00
FWCI (Field Weighted Citation Impact)
0
Refs
0.73
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Blockchain Technology Applications and Security
Physical Sciences →  Computer Science →  Information Systems
Blockchain Technology in Education and Learning
Physical Sciences →  Computer Science →  Information Systems
Internet of Things and AI
Physical Sciences →  Computer Science →  Information Systems

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JOURNAL ARTICLE

Exploring the synergy of artificial intelligence and blockchain in business: Insights from a bibliometric-content analysis

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Journal:   Global Journal of Engineering and Technology Advances Year: 2025 Vol: 22 (2)Pages: 171-178
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