Professor, Department of Knowledge and Information Science, Faculty of Management and Economics, Tarbiat Modares University, Tehran, Iran
10.22091/stim.2025.3968
Abstract
For many years, knowledge management has evolved from one generation to another, relying on technological advancements, and in its fourth generation it intersected with digital transformation. In recent years, the rapid progress of artificial intelligence and the emergence of generative AI have significantly enhanced the ability to understand semantic networks. The convergence of massive computational power with large language models and the rise of intelligent agents has introduced a new generation of knowledge management centered around these agents. Smart Knowledge management has become an immediate necessity for organizations and businesses. By balancing human and machine roles within the subprocesses of knowledge management, it ties them to the human-like qualities of technology. This paper, after reviewing the generations of knowledge management, explains the necessity and functions of Smart Knowledge management in businesses, along with recommendations for creating the required infrastructures. It can serve as a starting point for broader and deeper analyses in modeling and implementing this generation of knowledge management.
Hassanzadeh, M. (2025). Smart Knowledge Management: A new beginning for smart transformation. Sciences and Techniques of Information Management, 11(2), 303-317. doi: 10.22091/stim.2025.3968
MLA
Mohammad Hassanzadeh. "Smart Knowledge Management: A new beginning for smart transformation". Sciences and Techniques of Information Management, 11, 2, 2025, 303-317. doi: 10.22091/stim.2025.3968
HARVARD
Hassanzadeh, M. (2025). 'Smart Knowledge Management: A new beginning for smart transformation', Sciences and Techniques of Information Management, 11(2), pp. 303-317. doi: 10.22091/stim.2025.3968
VANCOUVER
Hassanzadeh, M. Smart Knowledge Management: A new beginning for smart transformation. Sciences and Techniques of Information Management, 2025; 11(2): 303-317. doi: 10.22091/stim.2025.3968
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