The Transformative Role of Artificial Intelligence in Organizational Decision-Making: An Integrated Framework

Abstract

This study examines the transformative impact of Artificial Intelligence (AI) on organizational decision-making processes, addressing both opportunities and challenges in contemporary business environments. Employing a systematic literature review and multiple case study analysis, this research synthesizes findings from academic literature and real-world implementations across various industries. The research reveals that AI significantly enhances decision-making accuracy, operational efficiency, and scalability. However, critical challenges include algorithmic bias, data privacy concerns, and organizational resistance to adoption. This paper contributes an integrated framework for AI implementation in decision-making, addressing technical, organizational, and ethical dimensions simultaneously. The findings underscore the necessity for a strategic, resource-based approach to AI adoption, moderated by a robust ethical governance structure to ensure long-term competitive advantage and responsible innovation. The study further emphasizes that the success of AI initiatives is predominantly determined by organizational factors, including strategic leadership, cultural alignment, and effective change management, rather than purely technological prowess, paving the way for a new era of human-AI collaboration.