Key Factors in the Effective Integration of AI into Executive Decision-Making

Abstract

The aim of this study is to identify the key factors of effective artificial intelligence-supported managerial decision support systems. Although the body of literature examining the role of artificial intelligence in decision-making is rapidly expanding, existing studies predominantly adopt a technological perspective, while integrated analyses of managerial and organizational implementation dimensions remain limited. The central research question of this study is which factors contribute, at the organizational level, to the successful implementation and sustainable use of AI-based decision supper systems. The research is based on a qualitative literature review methodology, which presents the key theoretical aspects of the relationship between artificial intelligence and managerial decision support systems and analyzes the relevant literature in the field. The main contribution of the study lies in systematically synthesizing the findings of the relevant literature and identifying the key organizational, managerial, and regulatory factors that influence the effectiveness of AI-based decision support. A limitation of the study is that it relies exclusively on qualitative literature analysis and does not include empirical investigation. Nevertheless, the findings provide a foundation for further empirical research, particularly regarding leader – AI interactions and the examination of long-term performance effects.