volume 15 | Issue 1
volume 15 | Issue 1
volume 15 | Issue 1
volume 15 | Issue 1
volume 15 | Issue 1
Introduction: In the important critical and vital healthcare sector, management of intellectual capital and examining its performance can play a significant role in advancing the goals of such organizations. Thus, this study aims to design a model of intellectual capital in healthcare research centers. Methods: The present study is applied in terms of research results and outcomes, combined (qualitative and quantitative) in terms of the implementation process, descriptive-analytical and exploratory in terms of aim, and cross-sectional in terms of time. The research tool was a questionnaire. The study’s statistical population consisted of faculty members and research experts of 8 healthcare research centers of Academic Center for Education, Culture and Research (ACECR) of Tehran. The sample size was determined to be 305 people based on Cochran's formula and the two-stage stratified sampling method. Based on literature review, the intellectual capital questionnaire was designed with 63 questions in the form of Likert scale. Content validity coefficient (CVR) and content validity index (CVI) were evaluated based on expert opinions, and 16 questions were excluded. Cronbach's alpha coefficient of the variables was also estimated to be higher than 0.7, which indicates the confirmation of reliability. To determine the effective factors, exploratory factor analysis was performed, and the model fit was examined by confirmatory factor analysis. SPSS23 and PLS3 software were the analysis tools. Results: Results revealed that the significance level of human, relational and structural coefficients on the measurement of the final variable was significant at the level of 95%. Therefore, the above variables measured intellectual capital well. The relational variable with a coefficient of 0.943 had the highest impact, and the structural variable with a coefficient of 0.882 had the lowest weight and impact. The GOF index value for the general model fit was equal to 0.535, confirming the good fit of the proposed model. Conclusion: To achieve the production of applied knowledge and to take advantage of the maximum capacities and capabilities of research institutes in the era of knowledge-based economy, evaluating and promoting human, structural and relational capital should be prioritized and this requires formulating or redefining health research institutes goals and missions based on indicators and components of intellectual capital.