A Bibliometric Review on Exploring the Role of Artificial Intelligence in Disruptive Innovation

Abstract

This research investigates the impact of Artificial Intelligence (AI) on fostering disruptive innovation with an exploration of AI's profound effects on the global economy. The evolution of AI's and its role in innovations has disrupted many traditional industries and is still. The evolution of these paradigms underscores the dynamic nature of AI and its potential to optimize processes and generate novel solutions. It employs bibliometric analysis to explore the academic landscape of AI-driven innovation, using citation metrics and thematic mapping to identify key research trends and gaps. The empirical findings include the co-occurrence network of AI and disruptive innovation, thematic evolution, and trends in scientific production, highlighted through visual representations such as keyword maps and thematic diagrams. The research underscores the importance of ethical considerations in AI deployment and provides insights into leveraging AI to maximize societal benefits while minimizing risks. Future research and policy formulation are offered to ensure responsible AI innovation. In conclusion, this study provides a comprehensive overview of AI's role in driving disruptive innovation with a deeper understanding of the relationship between AI and disruptive innovation, offering valuable insights for academics, industry practitioners, and policymakers, and supporting informed decision-making and strategic planning in the AI-driven transformation era.