Authors
1 Assistant Professor, Educational Administration, Azerbaijan University of Tarbiat Moallem, Tabriz, Iran
2 Associate Professor, Educational Administration, The University of Isfahan, Isfahan, Iran.
3 Assistant Professor, Educational Administration, The University of Isfahan, Isfahan, Iran
4 Assistant Professor, Philosophy of Education, The University of Isfahan, Isfahan, Iran.
Abstract
Introduction: 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
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