Review of Applied Management and Social Sciences (RAMSS) (E-Journal)
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    397 research outputs found

    Examining the Link Between Stress Management Strategies and Employee Performance in High-Pressure Industries

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    This study examines the relationship between stress management strategies and employee performance in high-pressure industries, focusing on key outcomes such as task efficiency, creativity, and job satisfaction. Utilizing a quantitative research approach, the study surveyed 250 employees from diverse high-stress sectors, including academic faculty, small-to-mid-sized businesses, and visa consultancy services. Data was collected through structured online questionnaires using Likert-scale questions to measure stress levels, stress management strategies, and performance outcomes. Correlation analysis revealed statistically significant positive relationships between stress management and key performance outcomes: creativity (r = 0.60, p < 0.01), task efficiency (r = 0.45, p < 0.01), and job satisfaction (r = 0.55, p < 0.01). Multiple regression analysis highlighted the moderating role of organizational factors, with leadership support (? = 0.25, p < 0.01) and workplace culture (? = 0.20, p < 0.01) amplifying the effects of stress management strategies on performance. Post-hoc analysis further demonstrated that individual differences, including coping mechanisms (? = 0.28, p < 0.01), personality traits (? = 0.30, p < 0.01), and resilience (? = 0.34, p < 0.01), significantly influenced the effectiveness of stress management in improving employee performance outcomes. These findings underscore the importance of tailored stress management interventions that address both organizational and individual factors to optimize employee performance in high-pressure environments. This research has a lot to contribute toward the understanding of the dynamics of stress management and to the need for future research in the long-term effects and new strategies, including digital tools and AI-based interventions

    Investigating how Childhood Bonding Patterns Influence Adult Behavior and Intimacy

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    This quantitative research explores the role of early attachment styles in adult relationship experiences, intimacy, and emotional regulation as well as the intergenerational transmission of attachment. By the application of standardized surveys and psychometric tools like the Adult Attachment Scale, Difficulties in Emotion Regulation Scale (DERS), Trust in Close Relationships Scale (TCRS), Intimacy Scale, and Conflict Resolution Styles Inventory, data were collected from 120 health professionals, consisting of psychologists, therapists, and counselors, selected using simple random sampling. The statistical approaches utilized were correlation analysis, regression analysis, and ANOVA in determining whether or not childhood attachment styles predicted adult relational outcomes. The results showed that secure attachment in childhood was correlated significantly with healthier adult relationships: secure individuals had better emotional regulation (mean = 3.2, SD = 0.6), intimacy (mean = 4.5, SD = 0.5), and conflict resolution (mean = 4.3, SD = 0.5) as compared to insecure attachment styles, which were correlated with poorer emotional regulation, low intimacy, reduced trust, and difficulty in resolving conflicts. Regression analysis confirmed the predictive role of childhood attachment in adult emotional and relational outcomes, with insecure attachment types (anxious, avoidant, and disorganized) resulting in higher emotional dysregulation, lower trust, and intimacy (mean: 3.1–3.3), and greater conflict (mean: 2.9–3.2) in adulthood. ANOVA analysis also demonstrated significant differences across attachment groups, with those possessing secure attachment styles showing higher levels of emotional regulation and conflict resolution skills. In addition, it also pointed out intergenerational transmission of attachment where the securely attached parents have the chances of being with the securely attached offspring PAS mean: 4.6, AAS mean: 4.5 and therapeutic interventions were seen to be significantly improving attachment security showing a 25% improvement for the individuals having insecure attachment post-intervention p < 0.01.&nbsp

    Digital Currencies in Pakistan and their Potential Role in Global Economic Relations: An Analysis

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    This paper explores the emergence of digital currencies in Pakistan and their potential role in reshaping the nation's position in global economic relations. It assesses the latest trends concerning the regulation of the technology and its exploration, drivers of adoption, and key impediments to its deployment. Including both qualitative information gathered during review of policy documents and policy, as well as quantitative analysis of assumed economic variables. Though Digital currencies are restricted by low internet connectivity and mobile phone smart device adoption in Pakistan the progress of payment systems Such as JazzCash & Easypaisa indicates future progress. But challenges such as blockchain readiness and cybersecurity are still need to be discussed. For blockchain to be fully adopted, there is need to pursue more investment in educating talent, and the regulatory framework. Security is key to the public trust and so it is important to secure wallets, payments and transactions data in particular. Opportunities and threats exist in Pakistan’s regulatory environment, nonetheless the prospects for developing the CBDCs still exist. Solving these challenges entail to define legal status, to simplify the process of licensing and to protect the consumer’s rights effectively. E-commerce conducted through the use of incorporative payment services in combination with CBDCs provides an opportune means of boosting Pakistan’s financial and economic outlook by catalyzing remittances transfer, cutting on cost, and expediting cross-border transfers as well as increasing access to financial services. Educational campaigns, influence from friends or relatives, and new trust-building JVs can successfully improve the situation with the adoption of digital currencies in Pakistan. There are also likely to increase the adoption of CBDCs, blockchain payment platforms, and mobile wallets if the efforts are implemented effectively

    Socio-Economic Causes of Smuggling in Pakistan: An Empirical Analysis

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    This research aims to investigate the economic drivers of smuggling in Pakistan. For this objective, data from 300 respondents were gathered from places where smuggling occurs in Pakistan. The binary logistic approach is utilized to evaluate the socioeconomic determinants of smuggling. Results infer that the age of the respondent, people living in rural areas, the employed status of the household, education level, the value of assets, earnings, and livestock ownership are the factor that reduces the participation of the people in smuggling activities. Conversely, married households, household size, and monthly expenditure are increasing smuggling activities in the study area

    Examining the Perceived Self-Control and Self-Management Skills of University Students: A Sectoral and Disciplinary Analysis

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    Self-control and self-management are critical skills for university students, facilitating academic success by enabling effective time management, focus, and the ability to overcome distractions. Considering the significance of self-control and self-management skills for university students, this quantitative study aimed to assess the perceived levels of self-control and self-management skills among students from two public and one private sector university in Multan, Pakistan. Utilizing a survey design, data were collected from 1,180 university students through a 16-item questionnaire structured into three subscales, namely: self-monitoring, self-evaluating, and self-reinforcing. The reliability of the questionnaire was established using Cronbach alpha reliability coefficient with a value of 0.83. Descriptive statistics (percentages, means, standard deviations) and inferential analyses (independent sample t-tests, ANOVA) were applied to examine overall student perceptions and identify differences based on university sector and academic discipline. The findings of research revealed that students perceived themselves to possess moderate levels of self-control and self-management skills, with significant differences observed between public and private sector students, as well as across academic disciplines. These variations suggest that institutional and disciplinary contexts may influence students’ development of these skills. The study concludes with practical recommendations for educators and students to strengthen self-control and self-management competencies, contributing to improved academic outcomes and personal growth

    Impact of Emotional Intelligence in Organizational Commitment among Employees of Educational Sector: Moderating Role of Personality Traits and Gender

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    Purpose: This study, grounded in Emotional Intelligence Theory by Daniel Goleman aims to study the impact of Emotional Intelligence on the Organizational Commitment of employees working in educational sectors. This study further identifies the personality traits and gender acting as the moderator between emotional intelligence and organizational commitment. Participants and Methods: The study's sample consists of men and women who work in different educational institutions. The employees working in various educational sectors were administered using a series of questionnaires to gauge their demographic information, personality traits, emotional intelligence, and organizational commitment. Utilizing SPSS26.0, the data was examined to determine the influence of gender and personality factors as well as emotional intelligence on organizational commitment. Results: The current study found a substantial relationship between emotional intelligence and organizational commitment in workers in the education sector. The Big Five Inventory moderator has a weak but somewhat significant impact, and the study further demonstrates the strong impact of gender on organizational commitment. According to the study, there is no difference in organizational commitment between male and female means of gender, but there is a difference between them when it comes to the big five inventory. Conclusion: Emotional intelligence has a significant impact on the organizational commitment of workers in the education sector. The results of the current study also showed that although personality qualities may serve as a moderator in some way between organizational commitment and emotional intelligence, gender is not a relevant moderator

    The Psychological Effects of Remote Learning on Students: Examining Social Isolation, Anxiety, and Self-Discipline

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    This study examines the psychological effects of remote learning on students, with a focus on social isolation, anxiety, and self-discipline, along with related factors like motivation and time management. Using data from 500 university students, a quantitative correlational analysis found a significant positive correlation between social isolation and anxiety (r = 0.52, p < 0.01), indicating that reduced in-person interaction intensifies emotional stress. Self-discipline emerged as a moderating factor, helping students with higher levels of self-regulation to maintain academic performance despite isolation and anxiety. Regression analysis showed that higher anxiety negatively impacts both self-discipline (B = -0.30, p < 0.01) and academic performance (B = -0.35, p < 0.01). Motivation and time management also positively correlated with academic engagement (r = 0.60, p < 0.01) and performance, highlighting their importance in online learning success. This study contributes to frameworks such as Baumeister and Leary’s "need to belong," Deci and Ryan’s Self-Determination Theory, and Zimmerman’s Self-Regulated Learning theory, emphasizing the critical role of social and emotional support in student resilience. Practical recommendations include offering mental health resources, enhancing virtual peer connections, and incorporating self-regulation training into curricula. These findings underscore the importance of addressing students' psychological needs to foster both academic success and emotional well-being in online education. Future research should explore the long-term effects of remote learning and evaluate targeted interventions to enhance students’ resilience and engagement

    Utilization of Deep Learning Models for the Early Diagnosis of COVID-19 through Chest Radiography

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    This study aims to evaluate the earlier detection of COVID-19 through deep-learning chest radiography models. The discussion starts with the impact of SARS-CoV-2 globally and the demand for early indication of the risk of handling infection. It outlines pathogenesis and clinical features of COVID-19, puts forth shortcomings of conventional diagnostics, and elaborates on its increasing role as a choice of preferred diagnostic technique in the form of chest radiography. In this study, a deep residual learning-based convolutional neural network architecture of 49 layers is proposed and its performance is compared with several advanced transfer learning models, like ResNet-50, VGG-16, VGG-19, and Inception-v3. The dataset used the chest radiographs of the   patients of the COVID-19,for whom diverse enhancement techniques such as data augmentation, resolution optimization, and region of interest (ROI) selection were applied to improve the model's diagnostic performance. The methodology section describes preparation and preprocessing of the dataset followed by the proposed CNN model configuration that aims to evaluate the models concerning the performance metrics of accuracy, sensitivity, specificity, and F1-score. Comparative results show that the 49-layer CNN obtained an accuracy at the value of 97.0%, sensitivity at 98.41%, specificity at 88.45%, and an F1-score of 92.22%. This reflects that the proposed model outperformed the best-known state-of-the-art methods. The study places great emphasis on diagnostic approaches not only towards medical diagnosis but more so onto the transformative potential in redefining AI integration into healthcare systems as forces of change in addressing health matters such as the COVID-19 pandemic in global health

    Family Quality of Life and Psychological Health Factors among Parents with Intellectually Disable Children; The Influence of Parenting Self-efficacy

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    Parents have to face obstacles in handling the challenging behaviors linked to the children with intellectual  disability (ID) while a lack of understanding regarding ID limits their capacity to deliver ongoing care and assistance for these children's physical, emotional, psychological, and social growth. This insufficient knowledge of parents among ID children also influence their own pyschological health negatively which ultimately leads them towards low family quality of life. This situation is being worsened day by day in the world generally and in Pakistan particularly wherein overall 371,834 children bear different types of disabilities including intellectual disability (31,915) while majority of researches in Pakistan focuses on other disorders and a few researches are done on intellectual disability. Thus, this study was designed to determine the family quality of life and psychological health factors among parents with intellectually disabled children as well as the influence of parenting self-efficacy. For this purpose, primary data of 306 parents of intellectually disabled children (7-18 years old) was collected from 4 special education schools and one children’s hospital, Multan and Bahawalpur (Southern-Punjab) Pakistan. The collected data was analyzed in SmartPLS through PLS (SEM) technique. PLS (SEM) results show that psychological distress has large, negative and significant impact on family quality of life and parenting self-efficacy while parenting self–efficacy has large, positive and significant impact on family quality of life. Additionally, parenting self-efficacy significantly fully mediate the relationship between psychological distress and family quality of life. Findings of this study emphasize to draw the attention of parents, teachers, special education departments, policy makers and healthcare providers towards social, psychological, physical, educational and financial issues among the parents of intellectually disabled children for taking immediate supporting measures

    Exploring the Role of Early Diagnosis of Hearing Loss in Children and its Impact on Educational Outcomes, Language Development, and Social Integration in Special Education Settings

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    The study explores the impact of early diagnosis of hearing loss on children's educational outcomes, language development, and social integration in special education settings. The research involved 150 children with early hearing loss, comparing the differences between early diagnosis (0-2 years) and late diagnosis (more than 2 years after birth). A quantitative research design was employed, using standardized test scores, teacher assessments, speech development tests, and social interaction surveys for data collection. The findings show that early diagnosis positively influences academic performance, language development, and peer interactions. Children diagnosed early demonstrated better academic outcomes (p < 0.05), more advanced language skills (p < 0.05), and improved social interactions (p < 0.05) compared to those diagnosed later. A strong positive correlation was found between early diagnosis and the effectiveness of support services (r = 0.65, p < 0.05). These results emphasize the importance of early intervention and robust support systems for children with hearing loss, highlighting the need for expanded newborn hearing screening programs and improvements in educational practices. Further research is recommended on long-term outcomes, the role of assistive technologies, and the influence of family involvement on improving outcomes following early diagnosis

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    Review of Applied Management and Social Sciences (RAMSS) (E-Journal)
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