درخت حوزه‌های تخصصی

Purpose: The aim of this study was to provide a model for social responsibility in education staff. Methodology: The present study was mixed in terms of implementation method (qualitative-quantitative) and applied in terms of research purpose. In the qualitative part of the research, the participants were 29 experts in the field of social sciences and management who were selected by purposive sampling. The research tool was semi-structured interviews and the data were analyzed at three levels of open, axial and selective coding. Professors' critique was used for data validity and agreement coefficient between coders was used for reliability (CVR = 0.86). In the quantitative part, the statistical population was the administrative staff of different departments of Khuzestan province (1350 people) that based on Krejcie and Morgan table, 384 of them was selected as a sample size by simple random sampling method. The research instrument was a researcher-made questionnaire based on qualitative findings and the reliability of the instrument was obtained by Cronbach's alpha test (0.84). Data analysis was performed using Spss19 and Amos24 software which included descriptive and inferential statistics (structural equations). Findings: From the perspective of experts in ethical, economic, legal, strategic responsibility, transparency of presentation and accountability as the main components of social responsibility and the factors affecting it, including staff training, compliance with ethical charters, providing cheap services, organizational standards, financial and extra-financial support, facilitation Needs were commitment and attention to the growth of staff creativity and innovation. Among the components of social responsibility, accountability with coefficient of path (0.85), ethical component with (0.84) and legal component with (0.81) were more important, respectively. Staff training with path coefficient (0.67), commitment (0.63) and observance of social and moral values ​​(0.59) were the most important factors on social responsibility. Conclusion: Important elements of social responsibility are transparency, accountability, and greater commitment to ethical and legal norms, which improve employees’ social responsibility by empowering and strengthening social values.

Purpose: The present research was performed to design interactive model of digital marketing in the area of online service startups based on mobile commerce in modern sociology. Methodology: This study was of fundamental type regarding the objective, and combined type regarding the method of implementation (qualitative and quantitative). The research population consisted of experts familiar with the issue in Hormozgan province in 2020, out of whom 20 were chosen as the sample through purposeful sampling method as the sample. The research instrument of the qualitative part was based on domestic and international research, wide the research instrument for the quantitative section was a 20- item questionnaire based on the qualitative part. In the qualitative section, using fuzzy Delphi method, the factors were identified and confirmed or screened, while they were ranked in the quantitative section using fuzzy DANP method. Findings: The results indicated that after three rounds of fuzzy Delphi, 15 indices were identified across six elements including technical/technological, personal user, social, customer orientation, perceived value, and reliability. Other results based on the fuzzy DANP method indicated that the user personal elements, plus social elements, reliability, perceived value, technological/technical, and customer orientation had the largest weights respectively. In addition, validity, personal innovation, and online experience claimed the first to third ranks in terms of weight. Conclusion: The results indicated the effective role of three elements of personal user, social, and reliability in comparison to other elements, which could be exploited by managers and planners to improve digital marketing based on mobile commerce.

Purpose: The overall purpose of this study was to determine the public welfare governance model with the social justice development approach of the Ministry of Cooperatives, Labor and Social Welfare. This research was a kind of grounded-applied study. Methodology: The research method is mixed and applied in terms of purpose and descriptive and correlational in terms of how to collect information. Data collection tools were semi-structured interviews and fifteen experts familiar with the topics were interviewed in order to collect data via using purposive sampling method. The statistical population included all employees of the Ministry of Cooperatives, Labor and Welfare of East-Azarbaijan province, which is equal to 98 people. The sampling method was stratified relative and the sample size was 80 people. Findings: Eighteen categories were obtained by classifying 322 key concepts, which were placed in the form of 7 main categories such as participation, accountability, efficiency and effectiveness, approval and rule of law, managers' responsibility, transparency and justice. Conclusion: In the para-permanent model of fighting corruption and central justice of the above category, transparency and fighting corruption of the underlying category, accountability and responsibility of the environmental category, participation and involvement of organizations in governing the strategic category and effectiveness and efficiency, the consequence category and the results are a model of public welfare governance.

Purpose: The aim of this study was to compare the effectiveness of Fernald’s multisensory training and computer game training on dyslexia in primary school students with learning disabilities in Ahvaz. Methodology: This study was applied in terms of purpose and in an experimental framework (pre-test-post-test design with control group). The statistical population in the present study consisted of all elementary students with learning disabilities in the first and second grade of elementary learning centers in Ahvaz in 2019. The sample consisted of 45 students with learning disabilities in the first and second grade of elementary school. The research instrument included Wexler (1945) dyslexia questionnaire. Data were analyzed using repeated measures analysis of variance and multivariate covariance of Manqua and ANCOA. Findings: The results of data analysis showed that Fernald’s multisensory training reduced dyslexia in elementary students with learning disabilities in the experimental group (1) compared to the control group and training in the use of computer games reduced the dyslexia in elementary students with learning disabilities in the experimental group (2). In comparison with the control group, it was found that there is a difference between the effectiveness of Fernald’ multisensory training and computer game training on dyslexia of elementary students with learning disabilities and Fernald’s multisensory training compared to computer game training in elementary students with dyslexia. Learning disabilities were more effective. Conclusion: As a result, it can be said that Fernald’s multisensory training methods and computer game training reduce the dyslexia of elementary students with learning disabilities and Fernald’s multisensory training is a more effective method to reduce the dyslexia anger of elementary students with learning disabilities

Purpose: The main of this research was to calculate the efficiency of 9th grade high school female students as well as educational process development to increase the math literacy. Methodology: This educational process is done by combining realistic mathematics education and the process of solving mathematical problems by quasi-experimental method. The statistical population of the study was 242 ninth grade students in district 19 of Tehran province in the 98-99 academic year; they were divided into two groups of 122 students as experimental group (A, B) and 122 students as control group (C, D). The data analysis method was based on Data Envelopment Analysis (DEA). The output-oriented Charles, Cooper, and Rhodes (CCR) model was used for determining the efficiency of the students. Findings: Each student was considered as a decision-making unit (DMU) in which inputs were mathematical pre-test scores and outputs were the mathematical post-test scores. 91.185% of class A students and 93.6% of class B students from the experimental group were efficient, which has much better offspring than the control group. Conclusion: The results showed that the students involved in problem solving and realistic math instruction were efficient and the Pisa test performed very well. In addition, data envelopment analysis was a suitable method for evaluating and analyzing students' annual performance.