Adoption and integration of AI in organizations: a systematic review of challenges and drivers towards future directions of research

Purpose: This study aims to detail the current enablers and challenges of AI applications in organizations and highlight ways to overcome these challenges to realize the potential of this emerging technology. Design/methodology/approach: The paper provides a brief history of AI. Then it maps the state of the art, consolidates the heterogeneous corpus of knowledge, investigates the current impacts of AI technology on organizations and provides insights into possible challenges associated with this technology through a systematic review of the literature conducted with the PRISMA method and thematic analysis. Findings: The research findings offer an overview of the most popular AI techniques within organizations, outlining their value-creation mechanisms. The results shed light on different topics related to enablers and challenges, emphasizing the potential implications of AI within organizations. Research limitations/implications: The analysis proposes a research agenda to guide future AI research, considering identified trends and challenges. Originality/value: This study highlights the need for multidisciplinary research, collaboration and ongoing assessment to ensure that AI applications align with organizational values and goals. It provides a meaningful framework for researchers and practitioners to understand and exploit AI as an effective enabler of value creation within organizations.