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AI in Knowledge Management: How Employees and Managers Really Perceive Its Impact

As organizations increasingly integrate artificial intelligence (AI) into their operations, understanding how employees and managers perceive its impact on knowledge management becomes crucial. Knowledge management encompasses the processes of acquiring, documenting, sharing, and applying knowledge within an organization. Recent findings reveal a significant gap between how different roles perceive the…
As organizations increasingly integrate artificial intelligence (AI) into their operations, understanding how employees and managers perceive its impact on knowledge management becomes crucial. Knowledge management encompasses the processes of acquiring, documenting, sharing, and applying knowledge within an organization. Recent findings reveal a significant gap between how different roles perceive the benefits of AI in these processes, raising questions about its effective implementation.
Perceptions of AI in Knowledge Management: A Study
According to a study conducted by researchers from Bar-Ilan University and the University of Padova, perceptions of AI’s usefulness differ significantly across knowledge management processes. For instance, AI was rated most beneficial for knowledge acquisition, with high ratings for knowledge documentation as well. However, its utility for knowledge sharing received lower scores, and it was seen as least helpful in aiding knowledge application. These findings suggest that organizations must tailor their AI strategies to align with the specific needs of each knowledge management process.
The study also highlighted that managers generally perceive greater benefits from AI than employees do. For knowledge acquisition and documentation, managers rated the advantages of AI higher than their subordinates. This gap indicates a potential disconnect between management and employee experiences, which could lead to resistance against AI adoption if not addressed.
Factors Influencing Perceptions: Trust, Expertise, and Sector
Trust in AI is a critical element influencing how users perceive its effectiveness. The study showed a strong correlation between trust and perceived usefulness across all processes, with knowledge application showing the strongest relationship. This indicates that organizations must foster trust in AI technologies to enhance their acceptance and effectiveness among employees.
These findings suggest that organizations must tailor their AI strategies to align with the specific needs of each knowledge management process.

Knowledge management expertise also plays a crucial role in shaping perceptions. Knowledge managers viewed AI as significantly more beneficial for knowledge acquisition compared to those without such expertise. Additionally, the business sector influences perceptions in unexpected ways. For instance, employees in the high-tech sector rated AI’s usefulness for knowledge acquisition and sharing lower than those in the public and service sectors.

As noted by The Oxford Review, ‘AI in knowledge management is increasingly seen as a way to improve how organisations acquire, document, share, and apply knowledge.’ However, the varying perceptions among employees and managers suggest that AI’s integration may not be as straightforward as anticipated.
BBC reports on the future of AI in workplace dynamics, highlighting how AI will reshape roles and responsibilities. Understanding these shifts is crucial for preparing the workforce. Moreover, Bloomberg discusses sector-specific AI adoption trends, which can inform tailored strategies for organizations.
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Read More →Looking ahead, organizations must consider these varying perceptions when implementing AI solutions in knowledge management. Tailoring AI strategies to address the specific needs and concerns of both employees and managers will be essential. This could involve providing training programs that enhance trust and understanding of AI’s capabilities, as well as fostering an organizational culture that encourages open dialogue about technology adoption.







