Impact of Artificial Intelligence on Knowledge Management: An investigation on the Public Sector in Saudi Arabia

Abstract

In an era where knowledge has become a key component of government operations, artificial intelligence represents a powerful tool for the public sector. When implemented strategically and ethically, artificial intelligence can help the public sector deliver more efficient, responsive and citizen-focused services, contributing to overall well-being and prosperity. Accordingly, this paper empirically investigates the impact of artificial intelligence on knowledge management. The paper took employees in the Saudi public sector, especially the ministries, as a population to implement the investigation. A convenience sample was obtained through a cross-sectional design consisting of 226 respondents constituting a response percentage of 73.5%. Structural equation modeling, an analytical approach, was used to test hypotheses and extract validity and reliability indicators. The paper concluded that the dimensions of artificial intelligence had a positive impact on knowledge management, except machine learning, which did not affect knowledge management in the Saudi public sector. As a result, the paper recommended the need to develop a comprehensive AI strategy that aligns with the goals and priorities of the public sector in Saudi Arabia and ensures that AI initiatives are integrated into the broader knowledge management strategy.