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