درخت حوزه‌های تخصصی

Purpose: Considering the significance of collective identity in carrying out group and social activities, this study aimed to design a model of collective identity based on perceived social support with the mediating role of emotional intelligence among students. Methodology: The present study was applied in objective and descriptive-correlational in method. The research population comprised all undergraduate psychology students of the Islamic Azad University of Qom Province in the academic year 2021-2022. The sample size of this study was 500 individuals, selected after reviewing the entry criteria through convenience sampling. Data were collected using the Collective Identity questionnaire (Hezarjaribi & Lohrasbi, 2011), Perceived Social Support (Sherbourne & Stewart, 1991), and Emotional Intelligence (Schering, 1996) questionnaires and analyzed using Pearson correlation coefficients and structural equation modeling in SPSS-27 and AMOS-24 software. Findings: The findings showed that collective identity, perceived social support, and emotional intelligence among students had a positive and significant correlation (P<0.01). Additionally, the model of collective identity based on perceived social support with the mediating role of emotional intelligence in self-efficacy among students had an appropriate fit. In this model, the variable of perceived social support had a direct and significant effect on emotional intelligence and students' collective identity, and the variable of emotional intelligence had a direct and significant effect on their collective identity. Perceived social support with the mediating role of emotional intelligence had an indirect and significant effect on students' collective identity (P<0.001). Conclusion: According to the results of the present research, counselors and psychologists can improve collective identity among students by enhancing their perceived social support and emotional intelligence through educational workshops.

Purpose: Flexible working hours can impact employee productivity. Therefore, the current research aimed to present a model for flexible working hours in public organizations, emphasizing increasing the productivity level of knowledge workers. Methodology: The present study was applied in objective and mixed-method (qualitative and quantitative) in execution. The qualitative study population included all academic and organizational experts familiar with the research domain, with a sample size of 25 determined based on theoretical saturation principle and selected through purposive sampling. The quantitative study population comprised all staff members of the Ministry of Cooperatives, Labor, and Social Welfare, with a sample size of 205 determined by Cochran's formula and selected through simple random sampling. Data for qualitative and quantitative sections were collected respectively using interviews and researcher-made questionnaires and analyzed with thematic analysis and exploratory factor analysis methods in Maxqda and Smart-PLS software, respectively. Findings: Qualitative findings revealed that flexible working hours encompassed 15 sub-themes in 3 main themes: floating work hours, floating work location, and collaborative work; and employee productivity comprised 20 sub-themes in 3 main themes: self-management, self-control, and self-organization. Quantitative findings indicated that all themes of flexible working hours and employee productivity had a factor loading and extracted variance mean higher than 0.50 and Cronbach's alpha and composite reliability higher than 0.80. Other findings showed that the themes of floating work hours, floating work location, and collaborative work had a direct and significant effect on flexible working hours, and the themes of self-management, self-control, and self-organization had a direct and significant effect on employee productivity, and flexible working hours had a direct and significant effect on employee productivity (P<0.05). Conclusion: The results of this study indicate that flexible working hours play an effective role in enhancing the level of employee productivity. Therefore, to improve employee productivity, the themes of floating work hours, floating work location, and collaborative work can be utilized.

Purpose: Woman-headed households experience more psychological issues and a lower level of psychological well-being compared to other women. The goal of this research is to investigate the relationship between hardiness and resilience in Woman-headed households, with hope serving as a mediator. Methodology: The present study is a part of descriptive-correlational research utilizing the cross-sectional research method and Structural Equation Modeling (SEM). The statistical population for the study consists of all woman-headed households assisted by the welfare organization in Tehran from July to December 2023. A total of 192 woman-headed households were selected using multi-stage cluster sampling as the statistical sample. Research instruments utilized were the Adult Hope Scale (AHS), Connor-Davidson Resilience Scale (CD-RISC), and Kobasa's Hardiness Scale (KHS). Descriptive statistics were performed using SPSS version 27 software, while path coefficients between constructs were analyzed using Amos version 24 software. The CB-SEM method was employed to develop the structural equation model. A significance level of 0.05 was used in the analysis. Findings: Based on the current research findings, it was found that hardiness positively and significantly impacted the variable of Hope (β=0.801, P=0.001). Similarly, the variable of hardiness also had a positive and significant effect on Resilience (β=0.953, P=0.001). There was no notable effect of the Hope factor on Resilience (P=0.868). The study revealed that hardiness did not indirectly and significantly influence Resilience through Hope (β=0.008 and P=0.864). Conclusion: The findings of the current research indicated that hardiness leads to higher levels of hope and resilience. However, the study found that hope does not have a notable impact on resilience, and as a mediator, it did not show any effectiveness in the research.

Purpose: The education system plays a crucial role in the growth and progress of any society and, as one of the main institutions developing intellectual capital and specialized human resources, it holds a sensitive responsibility in achieving sustainable development. Therefore, it should focus on improving the quality of its service delivery to meet people's expectations and increase their satisfaction. Accordingly, the aim of this study is to design a superior service delivery model in the field of education to enhance public satisfaction. Methodology: This research is applied in purpose, exploratory in nature due to its qualitative research approach, and descriptive-survey in terms of data collection and implementation. In the first phase, the population consisted of scientific documents and records, from which 38 studies were selected as the research sample based on inclusion criteria and purposive sampling method. In the second phase, academic and organizational experts were chosen based on the principle of theoretical saturation and purposive sampling technique, totaling 16 individuals. The data collection tool in the first phase was a systematic review of scientific documents and records through meta-synthesis, and in the second phase, semi-structured interviews with experts through thematic analysis. Validity through the CASP tool and reliability through Cohen's kappa coefficient were obtained at 0.56. The validity and reliability of the interview tool were also examined based on criteria of accuracy, credibility, dependability, transferability, and confirmability, which were ultimately confirmed. Finally, the data were analyzed using thematic analysis in MAXQDA software. Findings: The findings of this research identified 69 indicators, 13 components, and 3 dimensions for superior service delivery in the field of education to enhance public satisfaction. The dimensions of superior service delivery included: quality of educational services (with 9 components: tangibles, accountability, assurance, empathy, courtesy, dynamism, diversity, citizen-centricity, and monitoring and control), productivity of educational services (with 2 components: service efficiency and effectiveness), and intelligence of educational services (with 2 components: digitalization and the use of modern technologies). Ultimately, considering these dimensions, components, and identified indicators, the final model of the study was presented, which was found to be of suitable validity. Conclusion: Considering the results obtained from the current study, it is possible to create conditions for the realization of superior service delivery in the field of education to enhance the level of public satisfaction.