Purpose: The present study aims to investigate and analyze the impact of machine learning technology, as a key branch of artificial intelligence, on the four dimensions of organizational knowledge management (including infrastructural, environmental, content, and process dimensions) to elucidate the role of modern technologies in enhancing competitive advantage and organizational agility.



Methodology: This research is applied in terms of its purpose and descriptive-survey in terms of the data collection method. The statistical population comprised all managers and decision-makers of the knowledge-based company "Basalam," from which a sample of 31 individuals was randomly selected based on Morgan's table. Data were collected using a standard questionnaire, whose validity and reliability were confirmed prior to distribution. Data analysis was conducted using SPSS statistical software version 26, employing inferential one-sample t-tests, independent t-tests, and analysis of variance (ANOVA).

Findings: The analytical results indicated that the application of machine learning has a positive, direct, and significant effect on all dimensions of knowledge management. This impact was clearly confirmed in the infrastructural (mean: 3.20, significance level: 0.048), environmental (mean: 3.58, significance level: 0.000), content (mean: 3.30, significance level: 0.012), and process (mean: 3.40, significance level: 0.000) dimensions. Additionally, demographic analyses revealed that the variables of age and work experience create a significant difference in the evaluation of the infrastructural dimension, whereas gender has no significant impact on individuals' attitudes toward the dimensions of knowledge management.



Conclusion: Relying on its advanced processing and analytical capabilities, machine learning leads to significant optimization in the stages of discovery, storage, distribution, and application of organizational knowledge. Given the substantial impact of this technology on the infrastructural and process dimensions, the necessity for strategic investment by organizations in developing technical infrastructure, promoting digital literacy, and fostering a culture for the successful adoption of these intelligent systems is highlighted more than ever