Presenting a Model for Improving Research Ethics along with commercializing academic researches (Case: Islamic Azad university, Ardabil prouince branche).
Volume 12, Special Issue, Spring 2018, Pages 315-335
Aziz Poormehdi, Amir Hossein mohammad Davoodi, Kamran Mohammadkhani
Abstract When it comes to ethics and observance of the ethics of research, it means that research should not only have the appropriate method, but also be morally defensible. The purpose of this study was to provide a model for the promotion of research ethics in the commercialization of academic research of Islamic Azad universities in Ardebil. The research method was applied in terms of purpose and in terms of type of mixed data of exploratory type. The statistical population of the research qualitative section included the experts and academic experts and those with executive posts in the field of commercialization, which had an executive background at decision-making levels, and the researchers had books and articles in this field that, using Purposeful sampling method and saturation principle of ten people were selected as sample size. The second group of the statistical population of this study, which included all faculty members of faculty and academic degree of Islamic Azad University of Ardabil in the year 1395, was 537 people. Using multistage and relative cluster sampling method and Cochran formula, 172 persons were used as volume Sample selected. In this research, the library method, semi-structured interview (qualitative section) and researcher-made questionnaire (quantitative section) were used to collect data. The interview with the experts indicated that the interview was valid, and a reliable method was used to calculate the reliability of the two coders. The results indicated that the interview was valid and valid. In order to evaluate the validity of the questionnaire, face validity, content and construct were used. To determine the reliability of the questionnaire, Cronbach's alpha coefficient and combined reliability were used. Results indicated that the validity and reliability of the researcher made questionnaire were used. Content analysis was used to analyze the qualitative data of the research. In the quantitative part, according to the research questions, descriptive and inferential statistics (structural equation modeling, exploratory factor analysis, and one-sample t-test) were used and analyzed using Spss and Amos software. The results showed that components of research ethics include individual, environmental and organizational components, and commercialization components include individual, environmental and management components. The model presented in the research was fit to fit and the research findings also showed that among components of research ethics, individual and environmental components, and among components of commercialization, individual and managerial components are not in desirable condition. While the organizational component in research ethics and environmental component in commercialization has a relatively favorable status.
Investigating the Effect of Competitive and Commercial Awareness on Commercialization of Ideas with Emphasis on Competitive Advantage in Third Generation Universities in order to present a model
Volume 12, Special Issue, Spring 2018, Pages 361-378
Taraneh Enayati, Mohammad Salehi, Tayebeh Jalali
Abstract This research was designed to provide a model for explaining the effect of competitive and commercial intelligence on the commercialization of ideas with an emphasis on competitive advantage in third-generation universities. The current research was applied with a hybrid approach with exploratory design. Statistical communities in the qualitative section of study were university faculty members, which were selected through purposeful sampling and according to the saturation law of 18 people. The statistical society in the quantitative part of study, were university faculty members and lecturers from different universities of Mashhad, included 2,572 people. Using the Cochran formula and the floor sampling method a total of 335 people were considered as sample size. Semi-structured interviews were used as Data Collection tool in the qualitative part. To ensure the validity of the qualitative section and in order to ensure that the findings were accurate from the viewpoint of the researcher, the valuable ideas of professors and educators familiar with this field, especially in the field of entrepreneurship, were used. In the quantitative part, 4 questionnaires were used to collect data. Content and construct validity were used to calculate the validity of the questionnaire. Content validity of the questionnaire was approved by the university experts. To evaluate the construct validity, two convergent and divergent validity criteria were used. The results obtained from the factor loads for each factor showed that all items with factor load were greater than 0.4 and average extracted variance were higher than 4.5. The condition AVE> 0.5 is for all variables, so the convergent validity of these variables is confirmed. In addition, the mean values of the extracted variance were the highest, indicating a divergent validity among the variables of the research. The combination showed reliability and combined reliability greater than 0.5. To analyze the data of the qualitative section, content / questionnaire analysis was used for all variables above 0.7. Descriptive statistics were used to analyze the data. Frequency tables, frequency, mean and standard deviation and, in inferential statistics, Kolmogorov-Smirnov test, independent sample t tests, exploratory factor analysis and structural equation test were used. Data analyzed using Spss and Smart Pls softwares. The results showed that all dimensions and components of the variables have a factor load above 0.5. Also, the results of the confirmatory factor analysis showed that competitive intelligence with a coefficient of 0.879, business intelligence with coefficient of influence of 0.649 had a positive and significant effect on the Entrepreneur Universities.
Although the competitive advantage does not have an impact coefficient of 0.096, the proposed model is suited to the general fit estimation of the GOF.
