درخت حوزه‌های تخصصی

Purpose: The objective of this study was to rank municipality efficiency by stimulating job performance of employees and managers of municipalities of north Khuzestan Province through cultural intelligence based on data envelopment analysis (DEA) linear programming model. Methodology: The present study was applied in terms of objective and descriptive survey in terms of data collection method. The statistical population of this study included experts and managers of municipalities of north Khuzestan Province. The statistical sample was selected by convenience sampling. Data collection tools were cultural intelligence questionnaire by Ang et al. (2004), occupational performance questionnaire by Alirezaei et al. (2012). Findings: Finally, it was concluded that, in order of priority, Dezful, Lali, Shush, Izeh, and Masjed Soleiman were the most efficient municipalities. Conclusion: According to the present study, it was found that the cultural intelligence of employees and managers has a positive effect on their job performance

Purpose: News media play an important role in attitudes towards various issues, including wearing hijab and its removal. As a result, this paper aimed to compare the news coverage of hijab removal in the news media. Methodology: This study was applied in terms of purpose and quantitative in terms of execution method. The research population was the hijab removal news in the news media of Entekhab (reformist), Fars (fundamentalist), Khabar Online (moderate), BBC Persian Television (affiliated with the United Kingdom) and Voice of America (affiliated with the United states of America) during 2017 and 2018, which were selected through the total population sampling method. The research tool was to observe and record the news of the hijab removal in Persian news media or the Persian section of foreign news media, and the face validity of the information was confirmed by the opinion of experts and its reliability was obtained 0.89 by the inter-coder agreement method. Finally, the data were analyzed with non-parametric chi-square test in SPSS-20. Findings: Results showed that there was a significant difference between Entekhab, Fars, Khabar Online, BBC Persian Television and Voice of America in terms of amount of news, news style, news value, news source, news bias and news type (P<0.05). However, there was no significant difference between the five mentioned media in terms of the headline type (P>0.05). In other words, in terms of the amount of news about the hijab removal, Fars, Khabar Online, BBC Persian Television, Entekhab and Voice of America reported the most news. In terms of news style, Entekhab, Fars, Khabar Online and Voice of America used mostly news style and BBC Persian Television used mostly report style. Also, in terms of news value, Entekhab, BBC Persian Television and Voice of America used encountering value, Fars used the proximity value and Khabar Online used mostly two values of encountering and reputation. In terms of the news source, Entekhab and Fars used the media reporter’s source more, Khabar Online used the domestic news agencies more, BBC and Voice of America used the unknown source frequently. In addition, in terms of the news bias, Entekhab, Fars and Khabar Online used the bias of condemning the event, the BBC used the neutral bias and the Voice of America used the bias of sympathy and support for the event more frequently. In terms of the type of news, Entekhab, Fars and Voice of America mostly used the event-oriented type, and the Khabar Online and BBC Persian Television mostly used the process-oriented type. On the other hand, in terms of the type of headlines, Entekhab, Fars, Khabar Online, BBC Persian Television and Voice of America used more inferential headlines and there was no significant difference among them. Conclusion: The results showed that BBC Persian Television and Voice of America had a more positive view on the phenomenon of hijab removal and mostly reported the news from unknown news sources. The results indicated that the aforementioned news media are harmful to families in terms of the phenomenon of hijab removal.

Purpose: Covid-19 pandemic increased the use of e-learning and the ensuing academic stress. This research aims to study the relationship between e-learning induced academic stress and academic self-efficacy in the Yazd branch of Payame Noor University in Iran. Methodology: This is a descriptive-correlational study. The study population was the Yazd branch of Payme Noore University students in the 2020-21 academic year. Cochran’s formula gave us a sample size of 319 people. Due to the Covid-19 pandemic and the unavailability of some of the sample members, we used voluntary sampling. Our research tools were the academic stress scale (Pooladi Reyshahri, 1995) and the academic self-efficacy scale (Owen and Froman, 1988). We sent the scale to the subjects electronically. The scales’ alpha Cronbach reliabilities were 0.90 and 0.84, respectively. We analyzed the data using the T-test, correlation, and regression in SPSS version 21. Findings: Our findings showed that e-learning induced academic stress, and its subscales (academic conditions and economic environment stresses) were significantly below average in the students. Students’ academic stress and academic self-efficacy were significantly and inversely related. Academic stress could significantly explain self-efficacy (P < .001). Conclusion: Our results showed the negative role of academic stress in explaining students’ academic self-efficacy. Reducing students' academic stressors through academic workshops can significantly increase academic self-efficacy.

Purpose: Today, with the transition from the industrial economy to a knowledge-based economy, the economic value of the human resource in the organization is more evident than ever. Human resource accounting is a relatively new approach to calculating the value of human resources as a part of the organization's capital and assets. This study aimed to identify the components of human resources valuation and design the employee valuation pattern in the country's banking network based on the human resources accounting approach. Methodology: The study was conducted using a mixed method (qualitative and quantitative) in three consecutive phases. In the first phase, the components affecting the human resources valuation process were extracted through the content analysis of related studies. After extracting the general components, initial interview questions were formulated using them. In the second phase, additional components and indicators were identified through semi-structured interviews with elites and informants in human resource accounting. In the third phase, using quantitative methods, the validation and ranking of the components were done. Finally, the valuation pattern of the country's banking network employees was formed. Findings: The final pattern included a total of 36 components in four categories: individual and personality characteristics (11 components), professional qualifications (9 components), social capabilities (7 components), and organizational costs (9 components). Conclusion: The proposed pattern in this study can provide the possibility of a multi-faceted valuation of the banking network employees in Iran due to the coverage of a wide range of components affecting the valuation.