جستجوی مقالات مرتبط با کلیدواژه « پذیرش فناوری اطلاعات » در نشریات گروه « علوم تربیتی »

This study was conducted to design an e-learning culture model for the adoption of information technology and Social Customer Relationship Management(SCRM) deployment. In this research, mixed research method was used. For this purpose, using semi-structured interview and thematic analysis method, qualitative analysis and after obtaining the main indices of each of the relevant components, based on soft data obtained from experts in this field were analyzed. Findings of the research indicate seven main themes including structural factors, behavioral factors, environmental factors, processes, output, effect and outcome. In the quantitative part of the research, using Cochran formula, out of 922 people, as statistical population of the shargh Cement staff, 271 persons selected by simple random sampling as the sample size. The questionnaire from the qualitative categories was quantified using the Likert scale and analyzed using LISREL software. Collected data was first analyzed by exploratory agent. Then, in the next step, using confirmatory factor analysis, the validity of the research structures was tested and the statistical relationship between the variables and its indicators were confirmed with an average response between 2.19 and 4.35. These numbers indicate that the responses are in the right range and that there is a relationship between the main factors and its sub-components. To test the statistical hypotheses, Student t-test was used to infer the confirmation or rejection of the statistical hypotheses of the research. As a result, the three main dimensions of processes, factors and outcomes and components related to the model were confirmed at a 95% confidence level. According to the final research model, it can be concluded that the proposed model has causal relationships between the dimensions of the model in standard and significant conditions and the obtained results can be cited.

The purpose of the present research was influential factor in use and computer technology acceptance by teachers in teaching by fuzzy cognitive maps. The present study was a qualitative study that was carried out based on fuzzy cognitive maps due to the complex and vague structure of factors. Given the nature of exploration, this approach involves expert opinions about a mental reality. So the research sample of the study consisted of 30 highly qualified teachers in the high school of Urmia, based on the principle of data saturation. The data were collected by using interviewing tools. In this regard, teachers were asked to draw on a paper the main phenomenon and the factors affecting it in the center of the page as a circle, and outlines ways to influence these factors on it, both positive and negative. Designed maps were transformed into matrices which were analyzed by FCMmapper software. The results showed that the use of classroom computer technology by teachers is most central. Teachers' training in the field of computer is the highest degree of exterior, followed by the computer skills of teachers, the use of computers and the usefulness of it in teaching, had the most impact on the desired phenomenon.These findings are important implications for the consideration of factors affecting the use and acceptance of computer technology by teachers in teaching, Carry out the necessary steps to enhance teachers' ability to use computers in teaching, Eliminating the existing gaps in the education system in educating teachers

The current study aimed at structural equation modeling of the relationships among performance and effort expectancy, social influence, facilitating conditions and hofstede cultural dimensions(masculinity/ femininity, uncertainty avoidance, individualism/ collectivism, power distance) and Information technology acceptance. 150 High school teachers of urmia city where selected with clustering sampling method in two steps and answered a questionnaire comprising of the following subscales: intention to use, performance expectancy, effort expectancy, social influence, facilitating conditions(venkatesh et al, 2003), individualism /collectivism, uncertainty avoidance, and power distance(Srite and Karahanna, 2006) and masculinity/ femininity(srite, 2000). Structural equation modeling with Partial least squares method was used for data analysis. Findings showed performance expectancy, effort expectancy and social influence had positive and significant effects on intention to use, facilitating conditions and masculinity/ femininity had positive effects on use behavior, and also the effects of uncertainty avoidance and power distance were negative. But the effect of individualism/collectivism wasnt significant. Finally the tested model predicted 27 % of variance in intention to computer use and 19 % of use behavior.