Review of Applied Management and Social Sciences (RAMSS) (E-Journal)
Not a member yet
397 research outputs found
Sort by
Exploring the Impact of Well-being, Spirituality, and Empathy on Workplace Dynamics: A Research-based Investigation
Full text link
In the contemporary world, it is increasingly crucial to give significant importance to the enhancement and preservation of the well-being of employees. Based on the social exchange theory, this study investigates how spirituality at workplace affects employee well-being and how workplace empathy mediates this relationship. The analysis was carried out by administering a questionnaire to employees working in the textile sector in Pakistan. The findings of this study contribute to the existing research on spirituality at workplace, confirming its positive influence on employee well-being and identifying an even stronger link through workplace empathy. The study presents significant theoretical and practical findings that can be instrumental for policymakers and managers. It emphasizes crucial factors that can be leveraged to improve employee well-being
Mindful Learning through AI-Exploring the Relationship between Artificial Intelligence Focus and Academic Resilience
Full text link
The article was a quantitative research study that investigated the correlation of AI-based focus, mindful learning, and academic resilience in higher education learners in Pakistan. Simple random sampling technique was used to select 200 academic staff members and self-administered questionnaire of Likert-scale was used to collect the data. The regression, multiple regression, ANOVA, and correlation analysis helped to study the predictive and relational implications of AI-targeted learning and mindful practices on academic resilience, performance, and emotional adaptability. The results demonstrated that AI-driven focus was a good positive prognosticator of academic resilience and explained 42.5% of the variance. The outcome of the multiple regression analysis suggested that the academic performance and emotional adaptability was conditional upon AI focus and mindful learning, which was the explanation of the variation of the outcomes (54.4). It was also demonstrated in the course of correlation analysis that the AI-related engagement and academic resilience are strongly correlated (r = 0.652, p < 0.01). The findings suggest that AI technologies along with mindfulness ideas can be utilized to create the entire conditions of learning that can potentially enhance cognitive functioning, emotional regulation, and academic performance in general. In its paper, the authors highlight the necessity of the application of AI-supported mindful learning methods in higher education as effective means of achieving academic and psychological health, and give some practical implications to the teacher, policy-maker, and curriculum developer.
 
Assessing the Role of Fintech on Banking Performance and Financial Engagement in Pakistan: A Case Study of Multan
Full text link
This study examines the impact of Fintech on banking performance and Financial Engagements, focusing on the Multan district of Punjab, Pakistan. Using primary data from 512 respondents, this research employs graphical analysis, correlations, and multiple regression analysis to evaluate the relationship between Fintech adoption, banking performance, and Financial Engagements. The results conclude that Fintech adoption improves banking performance by reducing transaction costs and improving financial efficiency. Digital literacy boosts savings and investment behavior, but age and income disparities hinder adoption. Targeted policies for financial inclusion and cybersecurity concerns can boost Fintech adoption. The Life-Cycle Hypothesis suggests that as individuals age, they transition from borrowing to saving and investing, while higher education levels improve banking performance experiences. Factors like service quality, financial policies, and customer support also play a role. Trust in Fintech does guarantee efficiency; younger, educated individuals adapt better to Fintech. Fintech services target both high and low-income groups. Fintech should focus on investment and savings tools for older individuals and financial literacy programs to benefit all income and education groups
Navigating the Role of Performance Management Strategies in Influencing the Employee Productivity in the Context of Banking Sector of Pakistan
Full text link
This study attempts to evaluate how performance management systems affect worker productivity with regard to the banking industry in Rawalpindi and Islamabad. The study is based on the quantitative research approach. SPSS software is used to analyze the data gathered from questionnaires, and the sample size comprises 212 respondents. In order to improve overall performance, the findings suggest that Pakistani banks should conduct regular employee evaluations based on goals, accomplishments, organizational objectives, efficiency, and time management. The study also highlights the considerable contribution that prompt training sessions and feedback make to enhanced productivity and better work performance. The research also shows that staff productivity is positively impacted by efficient compensation management. Companies should give their employees constructive criticism and verbal support on a regular basis. To improve staff knowledge and abilities, the report advises Pakistani banks to establish regular, structured training programs. Finally, performance-based compensation has been shown to increase employee motivation and productivity, making it a crucial approach for the banking industry
The Role of AI in Shaping Organizational Culture in Educational Institutions: Motivating Educators and Students
Full text linkThis research examines the impact of Artificial Intelligence (AI) on organizational culture development in higher education institutions, specifically its impact on educator motivation and institutional change. A quantitative research design was used, where data were collected from 140 Heads of Departments (HODs) of university departments using a self-administered survey questionnaire. Correlation analysis identified a strong positive correlation (r = 0.648, p < 0.01) between adoption of AI and teacher motivation, capturing the way in which AI tools support teaching quality with less bureaucratic burdens. Regression analysis (R² = 0.017, p = 0.128) determined that AI cannot be considered an effective predictor of teacher motivation, capturing the presence of institutional policy, administrative support, and faculty development. The research identifies that strategic alignment of artificial intelligence, employee training, and ethical deployment are most imperative to achieve its potential in higher education. Longitudinal studies and targeted applications of artificial intelligence must be explored by future work to learn their long-term effects on learning cultures
Exploring the Determinants of Sustainable Clean Cooking Access Technologies in Developing Countries
Full text linkThis paper investigates how various socioeconomic, health, and environmental factors impact on adoption of sustainable access to clean cooking technologies. The WDI data is used from the period of 2010 to 2024. For data estimation this study uses the panel data model, and the overall panel regression results indicate that the socioeconomic public health and environmental factors such as income level, urbanization, education, infrastructure (access to electricity), Gender participation female, health outcome (life expectancy) on sustainable clean cooking access technologies have positive. Furthermore, poverty level and environmental quality (CO2 emission) have a negative impact on sustainable clean cooking access technologies in developing countries of South Asia. These findings suggest that a multi-sectoral policy, women’s empowerment, and investments in different sectors are important to improve not only infrastructure but also reduce the level of poverty. All factors contribute not only to promoting the use of clean cooking in South Asia but also to reducing the energy issues and maintaining the level of environmental sustainability in the upcoming times. It provides various innovative policy solutions and implementations that lead to sustainable clean cooking access technologies in South Asia of developing countries
Leveraging AI-Driven Influencer Analytics to Boost Awareness of Community-Based Educational Programs
Full text linkThis paper explores how AI-based influencer analytics will increase awareness and engagement in community-based educational campaigns in Pakistan. The research design adopted was a quantitative research where 230 parents filled self-administered Likert-scale questionnaire. The representativeness was done by means of simple random sampling. The regression analysis showed that there is a significant positive relationship between AI-based influencer campaign and parental awareness, and a multiple regression was used to identify content relevance, the credibility of the influencer, and frequency of interaction as predictors significant to the engagement of the audience. The results of ANOVA showed that the increased exposure to influencers chosen by AI had a significant impact on increasing the participation of communities in educational programs. The results highlight the opportunities of the AI-driven influencer planning to streamline the outreach, enhance the engagement, and promote the active participation in the educational courses. Such issues as data privacy and cultural sensitivity were also described as ethical factors that are essential in the effective implementation of such campaigns. The findings of this study can learn more about technology-empowered educational outreach and offer practical recommendations to policymakers, educators, and managers of community programs seeking to use AI to enhance education results
Access under Constraint: Barriers Shaping Female Participation in Higher Education in Rural Balochistan
Full text linkThis study investigates the socio-cultural and economic barriers that hinder female students from accessing and continuing higher education in rural Baluchistan. Despite growing initiatives to promote female education in Pakistan, many students in rural and underdeveloped regions continue to face challenges that limit their educational attainment. The study employed a quantitative, cross-sectional research design, using a structured questionnaire developed from existing literature and adapted from validated scales (Siddique et al., 2024). The target population comprised female students enrolled in colleges and universities within rural Baluchistan. A sample size of 239 respondents was determined using G*Power software and selected through simple random sampling to ensure equal representation and minimize selection bias. The questionnaire included 38 items covering nine key constructs: economic issues, early marriages, enrollment opportunities, harassment, infrastructure issues, institutional support, male dominance, socio-cultural barriers, and transportation issues. Data were analyzed using SPSS 28.0 for descriptive statistics, reliability, and demographic analysis, while SMART PLS 4.0 was utilized to assess the measurement and structural models. The results revealed that economic constraints, lack of institutional support, and socio-cultural barriers significantly affected female students’ ability to continue education, while issues such as early marriages and harassment also played a crucial role in discouraging higher education enrollment. The findings highlight the urgent need for targeted policies and interventions to improve educational access for females in rural areas. These include enhanced institutional support systems, awareness programs to combat cultural barriers, improved transportation facilities, and financial assistance schemes. By addressing these challenges, stakeholders can promote gender equality and empower young women to pursue higher education, contributing to the region’s socio-economic development
Study the Role of Block Chain in Financial Services the Impact of Crypto Currencies on Traditional Banking System and Regulatory Challenges
Full text linkThe paper looks into the impact of cryptocurrencies on Pakistan's traditional banking sector regarding issues of regulation, adaptation to technology, and the implications of digital money. The investigation employed a qualitative method and critical thematic analysis in analyzing data gathered through semi-structured interviews conducted with 14 crypto currency investors and 8 banking practitioners. The number of samples in the interview is sufficient enough to explore points of view about major stakeholders' sectors. A thematic analysis technique was used during the identification of patterns and codes on how crypto currency influences banking products, regulation, and implementation of block chain. Conclusion: This study concluded that opportunities for financial inclusivity and convenience exist with crypto currency but some notable issues with its regulation and instability still exist. The insights of the investigation are of useful value in ascertaining how digital money interfaces with conventional banks, which also has implications on future policy as well as the practices of banks
How AI can detect Emotional cues in Students, Improving Virtual Learning Environments by providing Personalized support and Enhancing Social-emotional Learning
Full text linkThis research investigates the impact of AI-based emotional cue detection on social-emotional learning (SEL) and individualized academic support in online learning environments. In a quantitative research, data were collected from 236 university instructors using probability sampling techniques. The research aims to evaluate the interconnections between emotional cue detection, SEL, and individualized support, and their connection to students' emotional regulation, academic resilience, and academic performance. Regression and ANOVA analysis indicate that awareness of emotional cues has a significant effect on SEL and individualized academic support, and the facilitative role of AI in improving students' engagement, motivation, and emotional well-being. The results indicate that AI systems can facilitate timely interventions, improve emotional regulation, and foster academic performance by being attuned to the distinctive emotional and cognitive needs of students. Moreover, the research emphasizes the necessity to continue to develop AI technologies, particularly for multicultural and multilingual environments, to enhance support for students in their diverse groups. Incorporating SEL practices into AI systems is also crucial in fostering students' social skills and emotional intelligence. Ethical issues, such as data protection and security, are still crucial to the safe and responsible use of AI in education. These findings provide valuable insights into the effective application of AI in achieving both the emotional and academic growth of students, and they can be used as a resource in guiding future education practices and policymaking. This research has significant implications for teachers, policymakers, and technology developers who seek to create more inclusive, personalized, and emotionally supportive learning environments in the digital age