Review of Applied Management and Social Sciences (RAMSS) (E-Journal)
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The Impact of Psychological Violence on Social Cohesion and Political Stability
Get PDFPsychological violence, particularly against women, has detrimental effects on mental health. Political leaders must prioritize initiatives to address this issue and empower survivors of gender equality and social justice. By integrating the principles of justice and equality into political agendas, societies can foster gender equity and protect the rights and dignity of individuals. This study examines the impact of psychological violence on social cohesion and its ramifications on political stability. Using a comprehensive mixed-methods approach, this study explored gender dynamics, the impact of psychological violence, and political involvement. Conflict theory is used to understand how psychological violence exacerbates social and political tension. This study found that political intimidation threatens democratic norms and social cohesion. Recognizing these distinctions is crucial for crafting targeted interventions and policies to mitigate the belongings of psychological strength, foster social consistency, and safeguard administrative stability in an interconnected world
Navigating Workplace Stigma: Examining the Relationship between Power, Authenticity and Religious Coping among employees in Industrial Sectors
Get PDFPower dynamics, authenticity, religious coping, and workplace stigma within a socio-economic context in Punjab, Pakistan are explored. The research uses a mix methods design of quantitative surveys and qualitative interviews to gather comprehensive data from 350 professionals, from across different professions. Using quantitative analysis, we found there is a significant negative correlation between power dynamics and authenticity (r = -0.57, p < 0.01), meaning that the more power imbalance individuals experience, the less likely they are to display their true selves in their work environment. In addition, religious coping was shown to mediate the relationship between power dynamics and authenticity (? = 0.42, p < 0.01) suggesting that the use of religious practices can help those to maintain authenticity in the workplace. Second, religious coping was positively correlated with psychological well-being (r = 0.60, p <. 01), even among professionals who reported experiencing workplace stigma. Finally, qualitative findings further explained the protective nature of religious coping, showing how it allows individuals to cope with power hierarchies and to reduce stigma related stress. The need to create authentic workplaces and the impact of religious coping strategies on employee wellbeing are emphasized in this study. Organizations can thus create supportive atmospheres where professionals feel comfortable expressing themselves authentically while accessing psychological resilience by addressing power dynamics and stigma in the workplace
Exploring the Connection between a Leader's Emotional Intelligence and their Effectiveness in Managing Teams and Organization
Get PDFThis study focuses on leaders in the province of Punjab, Pakistan, aiming to explore the influence of emotional intelligence on various aspects such as leadership effectiveness, communication, conflict management, and the motivation and retention of employees. Questionnaires from a pre-structured set were sent to 150 business managers from a variety of industries as part of a quantitative research study. ANOVA, regression, and correlation analyses were used to develop three hypotheses. It was found that emotional intelligence has a significant impact on leadership effectiveness. One of the most important findings from the correlation study was that emotional intelligence and leadership effectiveness are strongly linked (r = 0.78, p < 0.01). The study demonstrated how emotional intelligence plays a key role in communication, conflict resolution, and group dynamics. Finally, the ANOVA results showed that as a leader's emotional intelligence increases, their motivation, organizational commitment, and employee retention also rise significantly. Then, evidence was presented to add to (Goleman & Intelligence, 1995) study on emotional intelligence and underscores its importance for effective leadership. The findings suggest that emotional intelligence is an essential component of successful leadership, improving team performance, employee satisfaction, and overall organizational success. Data was gathered from self-report questionnaires administered to a broad range of leaders in Punjabi businesses
The Influence of Social Media Use on Academic Performance: Exploring the Role of Cognitive Load, Self-Regulation, and Motivation Among Student
Get PDFThis study explores the relationship between social media usage and academic performance among university students in Punjab, Pakistan, with a focus on cognitive load, self-regulation, and motivation as mediating factors. A quantitative research design has been used, with the sample size of 300 students who study in different universities via the technique of random sampling. Online platform self-report questionnaires have been filled, and all the analyses have been done using SPSS. In the result, it is clear that the cognitive load and usage of social media are significantly and highly positively correlated. An increase in social media usage coupled with a higher amount of cognitive load. Multiple regression analysis shows that self-regulation is a moderator to the negative impact of social media on students' academic performance; that is, students with higher levels of self-regulation had lower degrees of negative impacts. Additionally, t-test analysis showed that students with lower usage of social media had higher motivation scores than those students with higher usage, and this difference was statistically significant at p < 0.001. These findings underline the intricate relationship that exists between social media and academic outcomes, emphasizing the role of self-regulation in reducing potential negative effects. This study gives educators and policymakers an important lead in terms of devising strategies to help students regulate social media use while improving academic outcomes
Digital Therapeutics in Mental Health Care: A Critical Evaluation of Mobile Applications and Online Interventions for Anxiety and Depression
Get PDFThis research study evaluates the effectiveness, usability, and limitations of digital mental health interventions, particularly mobile applications and online platforms, in managing anxiety and depression. As digital therapeutics gain traction as innovative tools in mental health care, their potential for accessibility, scalability, and personalization positions them as valuable complements to traditional therapeutic approaches. The study utilized a cross-sectional design and meta-analysis of quantitative data from clinical trials, peer-reviewed studies, and user feedback. Key findings revealed that digital interventions significantly reduce symptoms of anxiety and depression, with paired t-tests confirming notable symptom relief post-intervention (p < 0.01). Regression analysis highlighted user engagement and personalized content as critical factors, with higher engagement correlating with improved mental health outcomes. Demographic analysis indicated that older participants experienced the most pronounced benefits, underscoring the importance of tailored approaches for different age groups. Limitations included short-term follow-up periods and potential sample selection bias, pointing to the need for more diverse, long-term research. The study concludes that digital therapeutics hold significant promise for enhancing mental health care, recommending future integration with traditional services and the adoption of emerging technologies like artificial intelligence to optimize user engagement and outcomes
Integration Mental Health Support in Corporate Management Addressing Dual Diagnoses for Employee Recovery and Performance
Get PDFThis study examines the impact of integrated mental health support systems on employee performance and recovery, particularly for those with dual diagnoses, within corporate management. The research sampled 320 HR professionals, mental health experts, and business managers from Punjab and KPK provinces of Pakistan. Data was collected using a self-administered questionnaire with closed-ended and Likert-scale questions. Descriptive statistics, including means (M = 3.8, SD = 0.85), percentages, and frequency distributions, along with inferential statistics such as Pearson correlation (r = 0.65, p < 0.01 for recovery and r = 0.72, p < 0.01 for performance), and regression analysis (? = 0.72 for well-being, p < 0.001) were performed using SPSS. The findings revealed that integrating mental health support systems significantly improved both employee performance and recovery, especially for those with dual diagnoses. Additionally, leadership commitment and effective mental health awareness programs were found to positively influence employee productivity and well-being (? = 0.68, p < 0.001). The results underscore the critical role of organizational policy and leadership in fostering a mental health-friendly workplace, enhancing overall employee outcomes, and creating a supportive work environment
Exploring how Positive Psychology-based Parenting Techniques Contribute to Children's Emotional Development, Resilience, and their Ability to form Healthy Social Relationships
Get PDFThis study explores positive psychology-based parenting practices and their contributions toward children's emotional development, child resilience, and social interactions. Drawing from the principles that guide positive psychology, this article explores how such practices as positive emotional support, empathy, and strength-based approaches impact key developmental outcomes for children. Data gathering involved a quantitative research design, where the responses from parents whose children belonged to the age group between 5 and 12 years were obtained. It was both descriptive and inferential analysis of the association between parenting methods and child outcome variables; this includes Pearson's correlation coefficient as well as multiple regression analysis. The hypotheses include: Hypothesis 1: Positive parenting encourages positive features of children's emotional development. Hypothesis 2: Positive parenting encourages children's resilience. Hypothesis 3: Positive parenting encourages good social relations. The three hypotheses listed below were validated: High positive correlations existed between parenting emotional support and children's emotional intelligence, r =.55, p <.01; between parenting emotional support and resilience, r =.49, p <.01; and between parenting emotional support and social skills, r =.52, p <.01. The findings of this study highlight the importance of emotional encouragement and empathy in a child's life. A contribution to the literature base of positive psychology, this work brings its principles into the terrain of parental practices and thus makes empirical evidence of its feasibility. In short, through this study, some important practical recommendations can be laid out for parents, teachers, and policymakers regarding how best to incorporate techniques based on positive psychology in child rearing. It could also be recommended further research to determine in the long term the impact such parenting strategies have and how suitable they are across cultures. It recommend positive supportive parenting that leads to the development of emotional intelligence and resilient capacity and peaceful interpersonal relations in children
Exploring the Potential Applications of AI in Climate Modeling, Renewable Energy Development, and Disaster Preparedness, While Considering the Ethical Risks
Get PDFThis research examines the numerous applications of Artificial Intelligence in climate modeling, renewable energy systems, and disaster preparedness in terms of its significant impacts on prediction accuracy, system optimization, and effectiveness in disaster response efforts, especially in Punjab, Pakistan. In order to achieve this, the research adopted a quantitative research design that allowed for the systematic collection of data from 176 participants. This population included diverse groups of policymakers, government officials, and industry stakeholders, and the data was collected through a snowball sampling technique that assisted in reaching an appropriate range of relevant respondents. Data were collected through self-administered questionnaires prepared for the study population to respond and analyze the information provided using several statistical tools and techniques such as correlation and regression, and ANOVA. Findings from this analysis clearly show that artificial intelligence has a great deal to do with making efficiency improve in different domains such as in climate modeling, renewable production of energy, and readiness for disaster preparedness depending on professional activities among the subjects' perceptions. Regression also confirmed that there is a very significant correlation between applications of artificial intelligence and stakeholder perceptions within these domains. The results obtained from ANOVA analysis have succeeded in underlining and highlighting major and significant differences that happen to exist in performance when such comparisons are made between different kinds of stakeholder groups. Such results will serve to throw into sharp relief and accentuate the critical importance of artificial intelligence in addressing complex problems in climate and energy, while creating attention to the urgent need for different and tailored policies that appropriately address and respond to divergent and differing perspectives expressed by these various stakeholders. The study concludes by making recommendations on cooperation, responsible AI practices, and investment in AI infrastructure towards sustainable development and climate resilience
How Green Growth, Institutional Quality and Globalization Impact Environmental Sustainability in the selected OBOR Economies: The Role of Energy Efficiency
Get PDFThe quality of the environment is gradually declining dramatically due to mankind's activity, resulting in a threat to the sustainability of our ecosystem. However, this study investigated the problem by considering effective indicators such as green growth, institutional quality, globalization, and energy efficiency. Therefore, this study explores the nexus between green growth (GG), institutional quality (IQ), and globalization (Glb) with environmental sustainability (CO2). The study also includes Industrialization (Ind) and Trade Openness (ToP) as control variables. Moreover, the study contributes to the literature by predicting the net moderating potential effect of energy efficiency (EE) improvements on environmental sustainability. The study employs the 18-year data for the period 2005 to 2022 from 96 selected OBOR countries.
The data sorting accounted for cross-sectional dependence (CSD), the Breusch-Pagan LM, Pesaran scaled LM, and Pesaran CD, 2007 tests were used and similarly for Slope Coefficient Heterogeneity (SCH), Pesaran, Yagmata. 2008 tests were used. The second generation method, Pescaran tests namely CIPS and CADF were used to check the stationarity of the data. This study employed the PMG-ARDL model for the data analysis. MG, AMG, and DFE estimates were also performed to check the robustness of the results of the model that unveil the long-run as well as short-run relationships. The long-run results revealed that GG, IQ, Ind, and ToP have a positive and significant relationship with CO2 whereas IQ has an inverse relationship. Similarly, in the short run GG, and Ind are positively significant with CO2. The moderation effect observed on GG and CO2 nexus is insignificant whereas the moderation effect on IQ and Glb has been seen as significant with CO2 nexuses. The finding indicates that when setting sustainable goals, it must review the determinants of CO2 emission specifically for OBOR economies, as environmental sustainability is more challenging than reducing pollution
Role of Financial Development and ICT in Promoting Inclusive Growth in South Asia: Moderating Effects of Governance
Get PDFThe primary purpose of this study is to compute the index for inclusive growth by taking into account the indicators of poverty, income inequality, labor productivity, life expectancy, job creation, and climate. Calculating the index accomplished by the utilization of principal component analysis in order to acquire weights. Further in the study, the influence of financial development, governance, consumption, and economic growth on inclusive growth for selected south Asian economies (Pakistan, Bangladesh, India, Bhutan, Sri Lanka, and Nepal) is measured. The data is gathered from the World Development Index (WDI), the World Governance Index (WGI), the Internet Subscriber Database, and the International Monetary Fund Development Database. Due to the fact that the data spans from the year 2000 to the year 2023 and that missing values are interpolated through the use of trend projection, a fully balanced panel data sheet has been generated. Through descriptive statistic and VIF, prerequisite information is gathered to see the robustness of model. When it came time to make a decision on the unit root testing, the cross-sectional dependency test utilized to seek guidance. According to the findings, there is no evidence of cross-sectional dependency, and the first generation of unit root tests utilized. The stationarity results of mixed order of integration and T>N indicate the use of panel ARDL. Additionally, in order to see the influence that governance has on inclusive growth in connection to financial development, the moderator effect of governance also inquired. Based on the findings, it is concluded that regulatory quality is not playing a significant moderator role of the financial development towards inclusive growth in selected economies of south Asia. Drawing the inferences from the results of the study it is suggested that to expand the financial inclusion by supporting the digital financial services particularly in marginalized areas.