AI-Driven Organizational Change: Transforming Structures and Processes in the Modern Workplace

Information Journal of Academic Information Systems Research (Ijaisr) 8 (8):38-45 (2024)
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Abstract

Abstract: Artificial Intelligence (AI) is revolutionizing organizational dynamics by reshaping both structures and processes. This paper explores how AI-driven innovations are transforming organizational frameworks, from hierarchical adjustments to decentralized decision-making models. It examines the impact of AI on various processes, including workflow automation, data analysis, and enhanced decision support systems. Through case studies and empirical research, the paper highlights the benefits of AI in improving efficiency, driving innovation, and fostering agility within organizations. Additionally, it addresses the challenges associated with AI integration, such as resistance to change, ethical concerns, and data security issues. The paper concludes by offering insights into future trends and implications for organizations navigating the evolving landscape of AI-driven change.

Author's Profile

Samy S. Abu-Naser
North Dakota State University (PhD)

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