The rapid advancement of Artificial Intelligence (AI) technologies has revolutionized various aspects of business operations. This study aims to define the scope of AI applications in businesses through a comprehensive literature review and bibliometric analysis. Using a structured search protocol for data collection, a comprehensive search was conducted across key academic databases to identify relevant literature on AI in business. The gathered data were then analyzed using VOSviewer and Bibliometrix tools to identify key themes, trends, and author groupings within the research field. Results indicate a diverse range of AI applications, including process optimization, customer relationship management, and predictive analytics, showcasing AI's transformative potential in business contexts. The bibliometric analysis further reveals the evolution of research focus over time, highlighting emerging themes and gaps in the literature. This review proposes a structured framework for future research in AI applications in businesses, advocating for a more integrated and strategic approach to AI deployment to maximize its benefits. By identifying the current state of research and future directions, this study provides a valuable roadmap for researchers and practitioners seeking to leverage AI for business innovation and efficiency.
Lengyel et al. (Tue,) studied this question.
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