Bibliometric Analysis and Knowledge Mapping of Artificial Intelligence and Technological Innovation in the Business (1992–2024)

Zahiroddini, Minoo Sadat; Hejazi, Seyed Reza; Masoumi, Nasser; Davari, Ali

doi:10.22055/slis.2026.51660.2012

Bibliometric Analysis and Knowledge Mapping of Artificial Intelligence and Technological Innovation in the Business (1992–2024)

Document Type : Original Article

Authors

Minoo Sadat Zahiroddini ¹

Seyed Reza Hejazi ¹

Nasser Masoumi ²

Ali Davari ¹

¹ Entrepreneurship Faculty, University of Tehran , IRAN

² School of ECE, University of Tehran;

https://doi.org/10.22055/slis.2026.51660.2012

Abstract

The rapid growth of technological innovation, particularly in Artificial Intelligence (AI) technology, has led to profound changes in business-related research over the past few years. Understanding the emerging trends in this field is crucial for researchers and several industry leaders to stay aligned with the upcoming transformation landscape. This study aims to provide an evolving perspective on trends in AI and technological innovation research in the business and management domains by conducting a bibliometric analysis of publications from 1992 to 2024. The data for this research were extracted from the Web of Science database and analyzed using co-word analysis and co-authorship techniques, utilizing two software tools: VOSviewer and R. The findings, based on the analysis of 883 articles across business and management domains, indicate a shift from slow growth in the early years (1992–2016) to rapid growth in recent years (2019–2024). Additionally, the identification of the most influential authors, the examination of research collaboration areas, thematic clusters, and research trends have provided valuable insights for both academics and practitioners in the field. The results of this study can inform policymakers, researchers, and industry leaders in strategic planning to invest in technological innovation by implementing AI, as presented in the points.

Keywords

Bibliometric

Artificial Intelligence

Technological Innovation

Co-authorship

Co-occurrence

Subjects