مطالب

Aging and its consequences have made population aging a major social issue. Aging populations are likely to exacerbate inequality by increasing the public and private financial burdens of social welfare costs. The goal of this study was to estimate the effects of aging on income inequality for 81 countries (37 developing and 44 developed) from 2000 to 2020. The study used a dynamic panel approach in a generalized method of moments (GMM) framework. This study's findings confirm a positive relationship between aging and income inequality in both developing and developed countries, and it demonstrates that the aging effect on income inequality is greater in developing countries than in developed countries. Furthermore, improving human capital, increasing per capita income, proper management, and use of total natural resource rents (% of GDP) in countries, and increasing trade between countries reduce income inequality, according to the findings of this study. Policymakers should reduce income inequality by investing in education, increasing per capita income, managing, and utilizing total natural resource rents (as a percentage of GDP), expanding trade with other countries, and planning for the effects of aging.

This paper attempts to compare a Markov-Switching Dynamic Stochastic General Equilibrium (MS-DSGE) model by including deep habits consumption to a MS-DSGE model without deep habits. It is concluded that the deep habit adjusted model with regime switching is able to fit the Iranian data better. The results of estimating parameters indicate that deep habit formation, together with the persistence of habit stock, are significant parameters. The results also confirm that current and future consumption demand, expected marginal cost and stock of habits are effective driving forces in extracted New Keynesian Philips Curve considering deep habits. However, in contrast with Ravn et al (2006, 2010) findings, it is shown that presence of deep habit consumption in the model for Iranian economy, cannot lead to reduce inflation in response to monetary shock while the amount of increase in inflation in response to monetary shock in the model with deep habit is less than inflation increase in model without deep habits. Furthermore, in response to fiscal shock in the model considering deep habits, the negative effect of wealth could not be compensated in Iranian economy. Therefore, consumption begins to decrease in response to fiscal shock, although these reduction in the model without deep habits takes more longer than in the model with deep habits.

Digital banking (DB) is becoming a popular choice for many customers who value convenience and efficiency. However, it is also important to evaluate how well Internet banks perform in terms of customer satisfaction. This study aims to comprehensively identify and evaluate suitable indicators for DB implementation to promote its acceptance among users. Both financial institutions and customers perceive Internet banking services as more convenient compared to conventional branch-based services. We employed two techniques: The Importance-Performance Matrix and the Analytical Hierarchy Process. The Importance-Performance Matrix helped us rank the identified factors according to their importance and urgency for improving the bank’s performance. The analytical hierarchy process helped us compare and weigh the relative importance of various criteria and sub-criteria that affect the bank’s performance. According to our findings, the bank’s performance was influenced by five factors: ease of use, privacy, speed, human resources, and technology. We also discovered that ease of use and privacy were the most urgent factors that required immediate attention from the bank. Therefore, we advise that Tejarat Internet Bank's services focus on enhancing security and ease of use as their top priorities to improve their performance. This research introduces a novel perspective by switching the typical focus of online banking research from corporate entities to individual clients, this research offers an innovative point of view. Our investigation provides valuable insights useful for retail banking and banks that deal with corporate clients by extensively comparing and evaluating the unique requirements of these two consumer segments.

The impact of health infrastructure on economic growth in the framework of endogenous growth models has been studied in a few research pieces; however, the impact of the Covid-19 pandemic on economic growth in the endogenous growth models has not yet been studied. The present article expands the existing pieces of literature in several ways. First, investigating the impact of the Covid-19 pandemic on economic growth in a steady-state situation. Second, identifying the threshold level of health infrastructure impact on long-term economic growth by considering the Covid-19 pandemic. Third, modeling of population dynamics and the Covid-19 pandemic. Fourth, modeling the level of following the protocols and public awareness of the Covid-19 pandemic and examining their impact on long-term economic growth. The developed model was calibrated using the information of a transition country, Iran. Results show If the health infrastructure is higher than the threshold level of 0.87, the output level will have an upward trend in the presence of the Covid-19 pandemic. Otherwise, the output trend will be downward. The increasing output could lead to the spread of the Covid-19 pandemic even in the long run in the Iranian economy. At a certain level of income, with the improvement of the health infrastructure, the level of Covid-19 pandemic release will decrease.

Purpose: The purpose of this research is to provide a management model for preventing cyber addiction in the youth of Zanjan province. Methodology: The present research is applied in terms of purpose and descriptive-survey in terms of research implementation method; And it is specifically based on structural equation modeling. The statistical population of the research includes teachers, educational and research assistants and managers of education and schools in Zanjan province, and according to Cochran's formula, 370 people were selected as a sample. Sampling was done by simple random method. The collection tool in this research is a researcher-made questionnaire derived from the qualitative method. To analyze the data from the confirmatory factor analysis tests to examine the research question using SPSS version 23 software; Structural method was used to compile the model and AMOS software was used to design the final research model. Findings: The findings of the research showed that the components of family factors, individual factors, attractions of virtual space, lack of media literacy, social conditions, cultural environment, social policies, unemployment and poverty, social participation, family education, life skills education, cultural and sports facilities, virtual space management, increasing efficiency, promoting mental health have a good fit in the measurement models. Conclusion: In order to prevent the disintegration of families, parents must be somewhat familiar with and aware of today's technologies.

Purpose: The blended training implies a continuous process of teaching and learning. Therefore, the current research was conducted with the aim of determining the causal relationships between the identified factors in the development model of blended training in Tehran education. Methodology: The current research in terms of purpose was applied and in terms of implementation method was descriptive from survey type. The population of this study was all the managers and assistants of education in Tehran city, which number of 242 manager and assistant were selected as a sample using the available sampling method. The research tool was a researcher-made questionnaire of development of blended training in education with 75 items. The data were analyzed with the methods of exploratory factor analysis and structural equation modeling in SPSS-V23 and LISREL-V8.8 software. Findings: The results of this study indicated that the development model of blended training in education had three components of constituent factors, organizational factors and educational factors, which its validity and reliability were confirmed. Also, the development model of blended training in education had a good fit and in this model, organizational factors and educational factors had a positive and direct effect on constituent factors of blended training in education (P<0.05). Conclusion: According to the results of this study, in order to improve the development of blended training in education can provide the ground for the realization of organizational factors and educational factors.

Purpose: Rumor management in the context of social networks for government organizations is very important in order to maintain the organization's reputation and improve its performance. Therefore, the current research was conducted with the aim of designing a qualitative pattern of rumor management in the context of social networks in the Iranian government organizations. Methodology: The current research in terms of purpose was applied and in terms of its implementation method was qualitative. The research population was experts in the field of public administration and organizational behavior in the field of research. The sample of the present study according to the principle of theoretical saturation was estimated to be 15 people which this number was selected by the purposeful sampling method and they were subjected to semi-structured interviews, and its validity was confirmed by the triangulation method and its reliability was estimated by the Cohen's kappa coefficient method 0.719. Data were analyzed by coding method in MAXQDA-2020 software. Findings: The findings of this research indicated that 95 open codes, 5 core codes and 2 selective codes were identified for rumor management in the context of social networks in the Iranian government organizations. In this study, the selected codes were included the malicious rumors with three core codes of bad feelings, rumor transmission and thinking power, and innocent rumors with two core codes of trust building and reference support. Finally, the output of the software was drawn for the qualitative pattern of rumor management in the context of social networks in the Iranian government organizations. Conclusion: Based on the findings of the present research, the managers of Iranian government organizations can prevent their destructive effect on the advancement of the organization's goals by managing malicious rumors and innocent rumors.

Purpose: Organizational citizenship behavior improves the organization's conditions and creates a competitive advantage, and on this basis, research on the development of organizational citizenship behavior education is very important. As a result, the current research was conducted with the aim of identifying affecting factors on the development of organizational citizenship behavior education and providing suitable managerial strategies. Methodology: In a descriptive study from type of qualitative, among the universal and organizational experts of Islamic Azad University of Fars province in the 2021-2022 academic years, number of 19 people were selected as a sample by purposive sampling method and according to the principle of theoretical saturation. The samples were subjected to a semi-structured interview, which their validity was confirmed by the triangulation method and their reliability was obtained by the agreement coefficient method between two coders 0.83. The data from semi-structured interviews were analyzed with open, axial and selective coding method in MAXQDA-2020 software. Findings: The results of the analysis showed that the affecting factors on the development of organizational citizenship behavior education had 35 indicators, 8 components and 3 dimensions. In this study, the dimensions were included individual factors with two components of citizenship knowledge and citizenship skills, organizational factors with three components of job satisfaction, organizational culture and job engagement and educational factors with three components of educational infrastructure, educational quality and employees as learners. Also, managerial strategies in the development of organizational citizenship behavior education were included 5 strategies of effective leadership, effective education, providing feedback and encouragement, applying guidelines and policies and promotion based on organizational citizenship behavior. Conclusion: According to the affecting factors on the development of organizational citizenship behavior education and the five identified strategies for it can be prepared the ground for improving and promoting the organizational citizenship behavior.

Purpose: Today, the online purchase intention can create a competitive advantage for the organization and social media marketing activities can be effective in this field. Therefore, the purpose of this study was to determine the effect of social media marketing activities on the online purchase intention of sportswear customers according to the mediating role of the company's brand. Methodology: This research based on the purpose was a practical and based on the nature was a cross-sectional from type of descriptive. The population of this study was the sportswear customers of different brands in Mazandaran province who used social media to buy products. The sample size based on the Krejcie and Morgan table was determined 384 people who these people were selected by available sampling method. The tool of the current research was a 32-item researcher-made questionnaire with three dimensions of social media marketing activities (9 items), online purchase intention (2 items) and company's brand (21 items and 4 components of brand loyalty, brand experience, brand attitude and customer-brand relationship). The content validity of the researcher-made questionnaire was estimated at 0.75 by 8 professors and their reliability was estimated ranged from 0.65 to 0.83. Data were analyzed by structural equation modeling In SPSS-V25 and Smart.PLS-V24 software. Findings: The results of this study showed that there was a positive and significant correlation between the most variables of social media marketing activities, brand loyalty, brand experience, brand attitude, customer-brand relationship and online purchase intention (P<0.05). Also, the model of social media marketing activities on the online purchase intention of sportswear customers according to the mediating role of the company's brand had a good fit, and in the mentioned model, the variable of social media marketing activities on the brand loyalty, brand experience, brand attitude and customer-brand relationship and the variables of brand loyalty, brand experience, brand attitude and customer-brand relationship on the online purchase intention had a direct and significant effect and the variable of social media marketing activities with the mediating of brand loyalty, brand experience, brand attitude and customer-brand relationship on the online purchase intention had an indirect and significant effect (P<0.05). Conclusion: Social media marketing activities directly and indirectly through company's brand impact on the online purchase intention. Therefore, to improve customers' online purchase intentions can be improved the social media marketing activities and company's brand.