مدیریت بهره وری (May 2014)
Investigating the Role of Knowledge Management Implementation in Labor Productivity in Islamic Azad University Tabriz Branch
Abstract
We aimed to determine the role of knowledge management implementation in labor productivity in Islamic Azad University, Tabriz. The research method was descriptive and its objectives were practical. The study population consisted of 680 employees of Islamic Azad University of Tabriz. Through the use of stratified random sampling, the sample was calculated 245 by Morgan sampling table. Data collection included two questionnaires: knowledge management and employee productivity. Knowledge management model was based on Probest et al model and had seven components including knowledge identification, knowledge acquisition, knowledge development, knowledge sharing, knowledge storage, knowledge usage and finally evaluation of knowledge management. Employee productivity model was based on Achive model and contained indicators such as credit of decisions, job knowledge, performance feedback, environmental compatibility, workplace satisfaction and motivation. After testing for normality using the Kolmogorov - Smirnov test, we used double and multiple regressions to analyze the data. The results of the data analysis show that each of the seven factors of implementing knowledge management (knowledge identification, knowledge acquisition, knowledge development, knowledge sharing, knowledge storage, knowledge usage and finally evaluation of knowledge management) is efficient to improve the productivity of the employees in Islamic Azad University of Tabriz. According to the results, knowledge storage maintains the highest level (0.33) and provides the strongest contribution to explaining the criterion variable and can predict 33 percent of the changes in labor productivity. Then the order of preference is as follows: knowledge usage (0.31), the evaluation of knowledge management (0.27), knowledge acquisition (0.17), knowledge identification (0.10), knowledge sharing (0.08) and knowledge development (0.06). It is confirmed that the significance of the model is F=13.25 and by Watson cameras (2.06) significance level is (Sig= 0.000).
