Impact of AI-Based Decision Support Systems on Managerial Decision

Abstract

This paper aims to identify the impact of artificial intelligence (AI) adoption on managerial decision-making in contemporary organizations in Kosovo, focusing on decision quality, decision speed, and the moderating role of managers technological experience. A quantitative research approach was employed, using a structured questionnaire distributed to 320 owners and managers from AI-intensive sectors, including banking, healthcare and supply chain management. Data were analyzed using structural equation modeling (SEM), which allowed for the simultaneous examination of direct and moderating effects among the latent variables. The results indicate that AI adoption significantly enhances both the quality and speed of managerial decisions, demonstrating that AI tools support timely, evidence-based, and effective decision-making. Additionally, managers technological experience was found to significantly moderate these relationships, highlighting the importance of human expertise in optimizing the benefits of AI technologies. These findings extend socio-technical systems theory offering both theoretical contributions and practical guidance for organizations. Overall, the study demonstrates that AI adoption, combined with skilled management, serves as a key driver of enhanced decision-making performance, providing a sustainable competitive advantage in dynamic organizational contexts in Kosovo.