Nataliia Slyvkanych
Jozef Glova
- Technical University of KoΕ‘ice, Faculty of Economics, Nemcovej 32, 040 01, KoΕ‘ice, Slovakia
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.
Tenth International Scientific-Business Conference LIMEN Leadership, Innovation, Management and Economics: Integrated Politics of Research - LIMEN 2024 - International Scientific-Business Conference β LIMEN 2024: Vol 10. Conference Proceedings , December 5, 2024
Conference Proceedings published by: Association of Economists and Managers of the Balkans, Belgrade, Serbia
ISBN: 9788680194929 , ISSN: 26836149 , DOI: 10.31410/LIMEN.2024
Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-Non-Commercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission.
