Paper Details

Name: Preeti Singh
Country: India

Year: 2025
Volume: Volume-12, Issue-1 (January-June)
Page Number: 124-132
DOI: https://doi.org/10.5281/zenodo.20590777

Artificial Intelligence (AI) is increasingly transforming organizational decision-making processes by enhancing efficiency, accuracy, and strategic insight. This research paper explores the multifaceted impact of AI on decision-making within organizations across various industries. The study reviews existing literature on AI applications in data analytics, predictive modeling, and automated decision support systems to understand how AI tools influence managerial choices. Emphasis is placed on the benefits such as reduced human bias, faster decision cycles, and improved data-driven strategies. However, challenges including ethical concerns, over-reliance on technology, and implementation barriers are also examined. The research aims to identify gaps in current knowledge related to AI integration in organizational decision-making and provide a framework for future studies. Two secondary objectives focus on evaluating AI’s influence on decision accuracy and organizational agility. A secondary data-based research methodology is employed, analyzing scholarly articles and case studies. The findings contribute to a deeper understanding of AI’s role in reshaping management practices, offering recommendations for optimizing AI deployment. This paper is valuable for academics, practitioners, and policymakers seeking to leverage AI for enhanced decision-making outcomes.
Keywords: Artificial Intelligence, Decision-Making, Organizations, AI Applications, Managerial Decisions, Data-Driven Strategies, Organizational Agility.