Structural Equation Modeling of Knowledge Conversion Process upon Intellectual Capital Components in Isfahan Universities, Iran

Abstract

Background: Moving toward progress in every country starts from universities. Intellectual capital is a very strong theory that all knowledge-based organizations can utilize to improve their efficacy and productivity. The purpose of this research was to evaluate the structural equation modeling of knowledge conversion process upon intellectual capital components in public universities of Isfahan, Iran. Methods: This descriptive, correlational study included 1472 faculty members of Isfahan public universities during the academic year of 2010-2011. The sample size was calculated as 205 individuals by stratified random sampling. In order to collect data, the 26-item standard knowledge conversion process questionnaire and a 35-item researcher-made questionnaire of intellectual capital components were used. Content and face validity of both questionnaires were confirmed by the experts. In order to evaluate the reliability of the questionnaires, Cronbach's alpha was calculated as 0.96 and 0.93, respectively. Statistical analyses of data were performed by multivariate analysis of variance (MANOVA) and structural equation model using SPSS and Amos Graphic. Results: According to MANOVA, socialization and knowledge combination were not significantly related with any of the intellectual capital components. However, different stages of knowledge conversion and externalization had significant relations with all intellectual capital components. Based on the structural equation model, correlation coefficient of all stages of knowledge conversion on intellectual capital components were significant. Conclusion: Knowledge conversion can be useful in data extraction, management, transfer, and exchange among faculty members. It can also promote intellectual capital in universities. Keywords: Knowledge Management; Intellectual Capital; Universities.