The Role of Artificial Intelligence in Business Management for Data-Driven Decision-Making and Organizational Performance

https://doi.org/10.5281/zenodo.20099823

Abstract

Artificial Intelligence (AI) has emerged as a transformative force in contemporary business management, fundamentally reshaping how organizations make decisions and achieve competitive advantage. This comprehensive review synthesizes findings from 152 scholarly papers examining AI's role in data-driven decision-making and organizational performance. The evidence demonstrates that AI technologies including machine learning, natural language processing, predictive analytics, and cognitive computing significantly enhance decision quality, speed, and adaptability across strategic, tactical, and operational levels. Organizations integrating AI-driven decision support systems report measurable improvements in forecasting accuracy, operational efficiency, customer engagement, and financial performance. However, successful AI adoption requires addressing critical challenges including data quality, algorithmic transparency, ethical considerations, workforce adaptation, and the need for complementary organizational capabilities. This review provides a structured analysis of AI's applications, benefits, implementation challenges, and future directions, offering actionable insights for researchers, practitioners, and policymakers seeking to leverage AI for sustainable competitive advantage.