مطالب

This study investigates the impact of the board's social capital on the investment efficiency of listed companies in the Tehran Stock Exchange. Based on the theoretical foundations, the board social capital as a social-behavioral factor can affect the problem of over or under-investment (both of which are examples of the inefficiency of investment decisions). Therefore, when the board's social capital is at a high and favorable level, company managers show less opportunistic behavior and do their best to increase cooperation and interaction within the company, which leads to the strengthening of investment efficiency. In terms of purpose, the current research is the applied-developmental type and takes a descriptive-correlational manner. We measured board social capital using the Co-Working Experience index. Investment efficiency is also measured through under- and over-investment using the Richardson (2006) model. The control variables also include the size of the board of directors, the independence of the board of directors, the size of the company, the ratio of net profit to sales, the rate of return on assets, and the level of financial leverage. The statistical population of the research includes 183 companies admitted to the stock exchange from 2016 to 2022. In order to test the research hypothesis, a multivariate regression model has been fitted using the panel data method with the fixed effects approach. The results of the research indicate that the hypotheses of the research are confirmed, and there is a positive and significant relationship between the social capital of the board of directors and investment efficiency.

The present research is conducted to determine the effectiveness of Unified protocols for Transdiagnostic Treatment of Emotional Disorders in Children and Adolescents (UP-A) on empathy and perceived social support, in bilingual middle school students. The statistical population of this study was comprised of bilingual students who studied of Tehran International School in the academic year of 2021-2022. A purposive method was used to select a sample of 30 students, and then they were randomly divided into two groups, experimental and control groups, each of 15 students. A semi-experimental research method with a pre-test, post-test, and follow-up test design was used for both experimental and control groups. The experimental group received family-centered psycho-education based on emotion regulation between the pre-test and post-test. Two questionnaires, the EmQue-CA and MSPSS were employed, to measure empathy and perceived social support, respectively. A mixed variance analysis with repeated measures was the technique for data analysis. The results indicated that there were significant differences in the scores of empathy and perceived social support of the students between the two groups in post-test and follow-up test compared to the pre-test (p < 0.05). Considering the vulnerability of adolescents to psychological harm due to difficulties regulating emotions, UP-A programs with an emphasis on emotion regulation can be particularly suitable for the effective prevention of a wide range of psychological disorders and seems effective in enhancing student empathy and perceived social support. Therefore, implementing UP-A in schools would be a wise preventive measure against emotional problems of adolescents

Background: Due to the changes brought about by the COVID-19 pandemic, telecommuting has emerged as a new work method in the media, enabling journalists to adapt to digital technologies.Aims: This study aims to assess journalists' satisfaction with telecommuting in the post-COVID era among journalists at ISNA news agency.Methodology: The theoretical foundation of this research is based on the ideas of Daniel Bell and Manuel Castells. The statistical population includes 123 journalists, managers, senior editors, and news editors. Data was collected using a survey method and a researcher-designed questionnaire. The questionnaire's validity was evaluated through face validity, and its reliability was determined by a Cronbach's alpha coefficient of 0.956.Results: The results of this study indicate that telecommuting has had positive effects on journalists' productivity, focus, topic discovery, and job enthusiasm. Among the factors assessed on a 5-point Likert scale, “improved output during telecommuting” ranked highest with an average of 4.35, followed by “no issues in communication with colleagues” with an average of 4.29, “feeling of enthusiasm and vitality” with an average of 4.19, “better focus on work” with an average of 4.18, “more time for work” with an average of 4.07, “topic discovery and development” with an average of 3.87, and finally, “ease of communication with relevant organizations and individuals” with an average of 3.74.Conclusions: Environmental, family, and individual factors (such as number of children or marital status) have no effect on job satisfaction in telecommuting, but journalists’ job position does influence their satisfaction with telecommuting.

Background: Throughout history, humans have consistently developed groundbreaking technologies, from fire and the wheel to modern computing, showcasing their ability to innovate and control their creations. The rise of artificial intelligence has sparked renewed concerns about whether machines might eventually surpass human intelligence and autonomy.Aims: This study aims to critically assess AI’s role in human society, particularly addressing concerns that it may surpass human control and agency. It seeks to demonstrate that while AI is a powerful tool, it lacks autonomy, self-augmentation, and intentionality, making it unlikely to replace human decision-making. Additionally, the paper examines historical technological advancements, showing how humans have always adapted and controlled new innovations.Methodology: Employing a historical-comparative methodology, this study traces the evolution of computing technologies from early tally systems to quantum computing. It incorporates philosophical analysis through the works of Hubert Dreyfus, John Searle, and Michael Tomasello, assessing AI’s limitations in replicating human cognition.Findings: The study finds that despite AI’s rapid advancements, it remains fundamentally dependent on human input, lacks true understanding, and is incapable of independent self-enhancement. The historical trajectory of technological progress demonstrates that while new technologies can disrupt societies, humans have consistently adapted and maintained control. Philosophical critiques of AI further reinforce the argument that intelligence is not solely computational but deeply rooted in embodiment, intuition, and shared intentionality—qualities that AI lacks.Conclusions: Concerns about AI overwhelming human agency are largely misplaced. Just as humanity has managed previous technological revolutions—including writing, mechanization, and computing—AI will be integrated and regulated according to human needs and ethical considerations. While vigilance is necessary, the myth of AI autonomy is exaggerated.