Exploring the Nexus of Artificial Intelligence and Intellectual Capital: A Bibliometric Analysis
Exploring the Nexus of Artificial Intelligence and Intellectual Capital: A Bibliometric Analysis

Author(s): Natalia Slyvkanyč, Jozef Glova
Subject(s): Social Sciences
Published by: Udruženje ekonomista i menadžera Balkana
Keywords: Intellectual capital; Artificial intelligence; Factorial analysis; Bibliometric analysis
Summary/Abstract: This study presents a thorough bibliometric and factorial analysis of the intersection between Artificial Intelligence (AI) and Intellectual Capital (IC). As AI increasingly reshapes the management and application of IC, research in this domain has expanded significantly. Utilizing a comprehensive dataset from a prominent academic database, this paper maps the intellectual framework, identifies key authors, journals, and institutions, and uncovers essential trends and thematic clusters in AI and IC research. The study visualises the intricate relationships and factors that define the AI and IC knowledge landscape by employing advanced bibliometric techniques such as co-citation analysis, keyword co-occurrence, and conceptual mapping alongside factorial analysis. Factorial analysis facilitates the identification of latent variables and deeper thematic groupings, thereby enriching the interpretation of bibliometric results. Key themes are prominently highlighted. The findings clarify the current state of AI and IC research and propose future research directions and potential applications in this evolving field.

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