@article{Ahmadinejad:335122,
      recid = {335122},
      author = {Ahmadinejad, Masoud},
      title = {Knowledge Commercialization in Agricultural Higher  Education: A Two-Step Approach to Structural Equation  Modeling},
      journal = {International Journal of Agricultural Management and  Development (IJAMAD)},
      address = {2020-06-01},
      number = {1047-2023-1208},
      month = {Jun},
      year = {2020},
      abstract = {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.},
      url = {http://ageconsearch.umn.edu/record/335122},
      doi = {https://doi.org/10.22004/ag.econ.335122},
}