Artificial Intelligence-Driven Decision Support Systems for Enhancing Digital Transformation in Modern Organizations

Authors

  • Sakshi Joshi Associate Professor, Department of Information Systems and Digital Innovation School of Business and Technology Western Valley University, California, USA
  • Dr. Ethan Michael Carter Associate Professor, Department of Information Systems and Digital Innovation School of Business and Technology Western Valley University, California, USA

Keywords:

Artificial Intelligence, Decision Support Systems, Digital Transformation, Machine Learning, Information Systems, Business Intelligence, Organizational Innovation

Abstract

Artificial Intelligence (AI) has emerged as a transformative technology that is reshaping organizational decision-making processes and accelerating digital transformation. Artificial Intelligence-driven Decision Support Systems (AI-DSS) enable organizations to analyze complex data, identify patterns, predict future outcomes, and support strategic decision-making. These systems combine machine learning, data analytics, automation, and intelligent algorithms to improve operational efficiency and organizational performance.

This paper examines the role of AI-driven Decision Support Systems in enhancing digital transformation within modern organizations. The study discusses the importance of AI-based decision-making, its applications in business operations, management processes, customer analytics, and strategic planning. The paper also highlights key benefits and challenges associated with AI-DSS implementation, including data security, technological complexity, and organizational adaptation. The study concludes that AI-driven decision support systems provide valuable opportunities for organizations to improve competitiveness, innovation, and long-term digital capabilities.

Published

2026-09-09

Issue

Vol. 10 No. 1 (2026): Journal of Advanced Research in Information Technology, Systems and Management

Section

Articles