Impact of knowledge management on job satisfaction and organizational performance among healthcare employees: A structural equation modeling approach.

BACKGROUND AND AIMS

Organizational knowledge management (KM) involves creating, preserving, and sharing employees' knowledge. This approach can enhance efficiency, improve performance, and boost job satisfaction (JS) throughout all aspects of the organization. This research aimed to investigate the effect of three variables of KM, JS, and organizational performance (OP) on the employees of the Health and Treatment Network in Haji Abad City.

METHODS

A study was conducted with 211 employees, such as physicians, nurses, and technicians. These employees worked in various sections, such as hospitals, health centers, rural centers, and emergency centers within the Health and Treatment Network of Haji Abad City. Newman and Kenard's KM, Hersey and Goldsmith's OP, and Smith, Kendall & Hulin's Job Satisfaction Questionnaires were used. The statistical software LISREL 8.8 was used to conduct structural equation modeling (SEM).

RESULTS

The results indicate that the structural equation models had a good fit. Significant positive relationships exist between KM processes (creation, retention, and application) and JS. No significant relationship was found between knowledge transfer and JS. The coefficient obtained from SEM between knowledge retention and OP was 0.74, indicating a strong and direct correlation between the two variables. The standardized coefficients for the relationship between knowledge creation and retention and JS were 0.45 and 0.33, respectively. This indicates a positive and direct effect of knowledge creation and retention on JS. All KM processes positively predict OP.

CONCLUSION

The research model had a good fit, and the KM processes had a positive effect on performance and JS. However, no significant relationship was found between knowledge transfer and JS among employees in the Health and Treatment Network. More research is needed to identify mediating variables and factors influencing this phenomenon in healthcare centers.