Artificial intelligence in the business plays key role in the current world. To track the research output, we conducted bibliometric analysis on the Artificial Intelligence (AI) applications in business from 1977 to 2023. The main objective of this study is to examine publication trends, influential authors, impactful sources, global contributions, and prevalent keywords, themes employing rigorous statistical methodologies. SCOPUS database was searched with AI and Business term from the starting period and biblioshiny and Vos Viewer software used for the analysis. Key findings reveal a rising trend in AI applications in business publications. Leading journals emerge, and the USA, United Kingdom, and China lead in global contributions. Frequently used keywords encompass ethics, machine learning, and big data. Thematic mapping categorizes themes, unveiling motor, niche, emerging, and basic themes. This analysis provides a comprehensive overview for researchers, policymakers, management educators and industry practitioners, shedding light on the dynamic landscape of AI and its intersection with business.

AI applications in business: Trends and insights using bibliometric analysis

Palazzo M.
2024-01-01

Abstract

Artificial intelligence in the business plays key role in the current world. To track the research output, we conducted bibliometric analysis on the Artificial Intelligence (AI) applications in business from 1977 to 2023. The main objective of this study is to examine publication trends, influential authors, impactful sources, global contributions, and prevalent keywords, themes employing rigorous statistical methodologies. SCOPUS database was searched with AI and Business term from the starting period and biblioshiny and Vos Viewer software used for the analysis. Key findings reveal a rising trend in AI applications in business publications. Leading journals emerge, and the USA, United Kingdom, and China lead in global contributions. Frequently used keywords encompass ethics, machine learning, and big data. Thematic mapping categorizes themes, unveiling motor, niche, emerging, and basic themes. This analysis provides a comprehensive overview for researchers, policymakers, management educators and industry practitioners, shedding light on the dynamic landscape of AI and its intersection with business.
2024
Artificial intelligence (AI)
Bibliometric analysis
Big data
Business
Ethics
Machine learning
Management education
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12606/19916
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
social impact