Determining and ranking factors affecting the gender discrimination of women's employment in the financial field of government organizations in Iran

The development of social and economic equality and the provision of better and more efficient services by governmental organizations are considered as the most important factors in the economic growth and development of countries. However, a review of literature indicates a difference in the level of enjoyment of equal opportunities by the employees of governmental organizations. The main purpose of the present study is to identify and prioritize the factors affecting gender discrimination against the women’s employment in the managerial, financial, accounting and auditing positions in governmental organizations in Isfahan. The study is descriptive and survey in terms of the nature of the subject and the objectives. The statistical population of the study is the managers and the staff members of the financial and accounting sectors of governmental organizations in Isfahan, which amounted to ۲۶۰۰ people in ۸۳organizations. Using Morgan’s table, ۳۳۵ people were finally estimated as the sample of the study. The statistical sample was selected using random-access sampling method. To collect data, a researcher-made questionnaire was applied to examine the factors affecting gender discrimination in the management positions, the reliability of which was calculated using Cronbach's alpha coefficient of ۰.۸۳. Content validity was used to assess the validity of the questionnaires. In order to analyze the data, descriptive and inferential statistics were used. The results, finally, showed that social, cultural, organizational, individual and family factors affect gender discrimination against women’s employment in the managerial, financial, accounting and auditing positions. The most influential factors from the statistical perspective were considered to be the individual and sociocultural ones, respectively. Furthermore, the resultsalso revealed that the priority of the factors varies according to demographic variables.