The purpose of this study was analyzing knowledge management in agricultural colleges Islamic Azad University of Khuzestan Province, Iran. The statistical population was (N=210). The sample size (n=108) were investigated. After confirm the validity of the instrument by panel of experts, to determine the reliability coefficient using Cronbach alpha coefficients were obtained for all sections of the questionnaire over 0.81 were calculated. Method of research was descriptive and correlative. Based on the results, research activities, job motivation, academic rank, social and cultural activity can explain 65.7% of variance of knowledge management. تفاصيل المقالة

The purpose of this research was to identify the factors affecting research practices development (RPD) regarding entrepreneurship in agricultural higher education, case study Islamic Azad University, Khouzestan Province, Iran. Faculty members in Islamic Azad University, Khouzestan Province were considered as statistical population. The sample size based on Cochran formula was determined (n=210). Stratified random sampling was used to select faculty members. A researcher-made questionnaire was employed for data collection. Its validity was confirmed by content validity and its total reliability was estimated by Cronbach's alpha as to be 0.81. Data were analyzed using descriptive statistics to describe RPD performance regarding entrepreneurship in agricultural higher education and inferential statistics to analyzing factors affecting on RDP. The results of the factor analysis showed that four factors such as encouraging researchers to research in entrepreneurship (MF1), institutionalization of entrepreneurship in academic research (MF2), establishing proper communication between the university and industry (SF) and creating the necessary rules and infrastructure for the commercialization of knowledge regarding entrepreneurship (LF) were identified as factors affecting the research practices development (RPD) regarding entrepreneurship in agricultural higher education which explained 62.55% of the total variance altogether. The result of the structural equation modeling (SEM) revealed that, it can be seen that the predictive positive effect of MF1 to RDP is supported (β=0.38, t-value=4.86, p<0.001). In addition, MF2 has a positive effect on RDP (β=0.39, t-value=5.08, p<0.001). Also the LF has a positive effect on RDP (β=0.31, t-value=4.05, p<0.001). MF2, SF and LF also have a significant impact on MF1. The findings showed that R2 for RDP was 0.53. So that, these four construct (MF1, MF2, SF and LF) determinants accounts for 62% of the variance in the RDP. تفاصيل المقالة

The purpose of this study was to analyze knowledge commercialization in agricultural higher education of Khuzestan province. To end it a survey research method was applied. Faculty members of agricultural colleges of Khuzestan province, Iran including Shahid Chamran University, Ramin Agricultural and Natural Resources University, Islamic Azad University are considered as statistical of population of study (N=417). The main instrument of research was questionnaire which validity was determined by a panel of experts and also Cronbach’s Alpha coefficient was used for determining of reliability (α=0.86). Based on regression analysis, effective researchers, effective relationship of university with industry and society, material and spiritual support of knowledge commercialization, government services, rules and regulation and parks and centers of science and technology development may well explain for 61.4 percent variations (R2=0.614) in level of knowledge commercialization in agricultural higher education. The SEM indicated that the predictive positive effect of external factors (EF) and internal factors (IF) to knowledge commercialization (KC). Also government services (GS), economic stimulus (ES), rules and regulation (RR) and Parks and Centers of science and technology development (PC) have a significant impact on EF. The findings indicated effective researchers (ER), effective relationship of university with industry and society (ERU), material and spiritual support of knowledge commercialization in universities (MS), use of specialized consultants in the field of knowledge commercialization (SC) and research quality (RQ) also have a significant impact on IF. The findings showed that these nine construct (GS, ES, RR, PC, ER, ERU, MS, SC and RQ) determinants accounts for 73 percent of the variance in the KC. The results showed that mistrust between industry and university has first priority of barriers to knowledge commercialization in agricultural higher education. تفاصيل المقالة