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Knowledge management at universities: designing favorable pattern
Poster Presentation
Paper ID : 1941-11THCONF
Authors
M.A Sport management/Guilan university
Abstract
Introduction: This study aimed to design favorable pattern of factors affecting the knowledge management from the perspective of physical education professors at universities in Zanjan.
Methodology: The research method was descriptive correlational and the the statistical population consisted of physical education professors with more than three years of teaching experience at universities in Zanjan (N= 61). Due to limited number of population, the sample size was considered to be equal to population. The research tools included demographic questionnaire, Stankosky and Baldanza’s technology, organizational culture and organizational structure, Bar-on's emotional intelligence, Spreitzers and Mishra and Kordnaeij et al. empowerment and Newman and Conrad’s knowledge management questionnaires. Due to small sample size, the structural equation modeling was performed using SMART PLS 2 software to analyze the data. The content validity of questionnaires was verified by seven professors and convergent and divergent validity and combined reliability was verified by software.
Results: There was a significant and inverse correlation between technology and knowledge management (t-value= 2.766; path coefficient= -0.268). also, there was significant correlation between organizational culture and knowledge management (t-value= 2.815; path coefficient= 0.346), emotional intelligence and knowledge management (t-value= 4.357; path coefficient= 0.502), technology and organizational structure (t-value= 6.218; path coefficient= 0.635), organizational culture and organizational structure (t-value= 3.221; path coefficient= 0.348), technology and empowerment (t-value= 2.992; path coefficient= 0.226), organizational culture and empowerment (t-value= 4.632; path coefficient= 0.411), organizational structure and empowerment (t-value= 3.539; path coefficient= 0.362), and empowerment and knowledge management (t-value= 1.975; path coefficient0.283). However, there was no significant correlation between organizational structure and knowledge management (t-value= 1.179; path coefficient= 0.106) and emotional intelligence and empowerment (t-value= 0.815; path coefficient= 0.087). Finally, the general goodness of fit index of GOF model was 0.676; this was at high level.
Discussion: According to findings, it was concluded that the universities should create a collaborative and creative environment for professors to communication with others and revise technological processes. Also, the delegation of decision-makings and training of individuals at universities will help to produce, maintain, transfer, and use needed work knowledge at right time and place.
Methodology: The research method was descriptive correlational and the the statistical population consisted of physical education professors with more than three years of teaching experience at universities in Zanjan (N= 61). Due to limited number of population, the sample size was considered to be equal to population. The research tools included demographic questionnaire, Stankosky and Baldanza’s technology, organizational culture and organizational structure, Bar-on's emotional intelligence, Spreitzers and Mishra and Kordnaeij et al. empowerment and Newman and Conrad’s knowledge management questionnaires. Due to small sample size, the structural equation modeling was performed using SMART PLS 2 software to analyze the data. The content validity of questionnaires was verified by seven professors and convergent and divergent validity and combined reliability was verified by software.
Results: There was a significant and inverse correlation between technology and knowledge management (t-value= 2.766; path coefficient= -0.268). also, there was significant correlation between organizational culture and knowledge management (t-value= 2.815; path coefficient= 0.346), emotional intelligence and knowledge management (t-value= 4.357; path coefficient= 0.502), technology and organizational structure (t-value= 6.218; path coefficient= 0.635), organizational culture and organizational structure (t-value= 3.221; path coefficient= 0.348), technology and empowerment (t-value= 2.992; path coefficient= 0.226), organizational culture and empowerment (t-value= 4.632; path coefficient= 0.411), organizational structure and empowerment (t-value= 3.539; path coefficient= 0.362), and empowerment and knowledge management (t-value= 1.975; path coefficient0.283). However, there was no significant correlation between organizational structure and knowledge management (t-value= 1.179; path coefficient= 0.106) and emotional intelligence and empowerment (t-value= 0.815; path coefficient= 0.087). Finally, the general goodness of fit index of GOF model was 0.676; this was at high level.
Discussion: According to findings, it was concluded that the universities should create a collaborative and creative environment for professors to communication with others and revise technological processes. Also, the delegation of decision-makings and training of individuals at universities will help to produce, maintain, transfer, and use needed work knowledge at right time and place.
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