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.
