Review of Applied Management and Social Sciences (RAMSS) (E-Journal)
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An Examination of the Impact of Social Media Anonymity and Intensity of Online Conflict and Aggressive Behavior
Get PDFThe paper explores the impact of social media anonymity and algorithmic influence in the creation of cyber aggression by university students of Punjab. It is a survey-based study where a total sample size of 350 has been taken from university students for quantitative research design, and structured questionnaire was applied for data collection purposes. Interrelationships between anonymity, algorithmic amplification, and online aggression are identified by performing correlation analysis. Regression analysis was carried out to determine the effects of the variables, and ANOVA to test for differences in aggression levels between demographic groups and social media use. Strong interrelations were established between social media anonymity, algorithmic influence, and increased aggression in the statistical analysis. This therefore reveals that both anonymity and the design of algorithms define behavior on the Internet. Data anonymization, voluntariness, and confidence in online communication were considered to form ethical guidelines. This research suggests that the undermining of digital hostility is crucial without jeopardizing anonymity
Stress Management Techniques for Students: Exploring Mindfulness, Cognitive-Behavioral Strategies and Resilience
Get PDFThis study investigates the effectiveness of stress management techniques—mindfulness, cognitive-behavioral strategies, and resilience-building practices—among university students facing academic and personal pressures. Utilizing a quantitative research design, data was collected from 550 participants through structured surveys measuring stress levels, technique usage, and influencing factors such as sleep quality and social support. The analysis revealed that mindfulness practices significantly reduced stress levels (M = 5.5) compared to cognitive-behavioral strategies (M = 6.5) and resilience techniques (M = 6.2), thereby confirming the first hypothesis. Cognitive-behavioral strategies also contributed positively to stress reduction, supporting the second hypothesis. Additionally, higher resilience scores correlated with lower stress levels, validating the third hypothesis. Notably, sleep quality and social support were identified as critical moderating factors that enhanced the effectiveness of these techniques, confirming the fourth hypothesis. The findings underscore the importance of incorporating mindfulness and resilience practices into student wellness programs while addressing sleep quality and fostering social support networks. This research contributes to the understanding of effective stress management strategies in academic settings and highlights the need for tailored interventions to support student well-being. Future research should explore the long-term effectiveness of these techniques and consider a broader range of student demographics to enhance the applicability of the findings
Personal Values and Cultural Distances: Shaping Consumer Motivation in Collaborative Consumption
Get PDFThe research study examines how personal values and cultural distance interact intricately to affect consumer motivation in the perspective of collaborative consumption. This study generates a conceptual layout that illuminates the complex interactions among these variables by combining a thorough literature assessment. The paradigm highlights a balancing effect of human values and trust between the relationship of cultural differences and consumer motivation. Understanding these processes becomes increasingly crucial as the sharing economy becomes more ubiquitous. The study uses a quantitative research design to clarify these connections. Surveys are used in quantitative analysis to collect information on customer motivation, levels of trust, personal values alignment, and perceptions of cultural distance. The study's triangulated methodology strives to offer an inclusive knowledge of the elements impacting consumer behavior in this complicated environment. According to preliminary data, personal values significantly moderate the effect of cultural influences on consumer’s motivation. The effect of cultural differences on motivation is either accentuated or diminished when personal values coincide with the universal principles of collaborative consumption. Additionally, it becomes clear that trust is a key mediator that has the power to either amplify or mitigate the effect of cultural differences on customer motivation. These observations highlight the need for developing trust-building strategies and promoting cultural sensitivity in order to improve cross-cultural engagement in cooperative consumption practices. In conclusion, this research offers significant new knowledge in a number of areas, such as sharing economy methods, cultural studies, and consumer behavior. The study provides entrepreneurs, policymakers, and stakeholders with the knowledge necessary to successfully traverse the varied environment of collaborative consumption by disentangling the complex web of cultural distance, individual values, and trust. A nuanced and culturally sensitive approach is essential for establishing inclusive and sustainable practices that appeal to customers from all backgrounds as the sharing economy continues to develop
Artificial Intelligence in Predicting Public Attitudes towards Climate Change: Psychological and Behavioral Insights
Get PDFThis study is trying to assess the ability of AI to predict the opinion of people about climate change by giving importance to the psychological and behavioral facets of such opinions. The survey was conducted on 300 people in Pakistan by a self-administered questionnaire. The data analysis done in regard to these factors included the implementation of multiple statistical methods such as correlation, regression, and post-hoc analysis that would consider the complex interplay between several psychological factors in question. Some of the factors involved cognitive biases, emotional responses, and what the layperson in society thinks about climate change. The findings presented with this analysis clearly showed that the models in this study, driven by artificial intelligence, were far better than the traditional survey methods used for a long time. In this regard, the AI-driven models had an astonishing accuracy rate of 87%, whereas the accuracy rate of only 72% came with traditional approaches used in this study and was proven to be highly statistically significant, as indicated by the p-value being below 0.05. The regression analysis results showed that some psychological factors such as cognitive bias with a beta value of 0.75 and emotional responses at a beta value of 0.65 strongly and significantly predict the attitude of the people regarding climate change. Apart from the above primary analysis, post-hoc analysis brought a number of other insights to light, especially regarding the important role of social identity in forming a public perception related to climate change issues. The above findings depict promising scope for AI technology in refining and improving the strategy of climate change communication through an appropriate application of psychological knowledge within the predictive model
Analyzing the Impact of Microfinance Initiatives on Poverty Alleviation and Economic Development
Get PDFThis study investigates the impact of microfinance on poverty alleviation, economic development, and social outcomes in low-income communities. Microfinance, through providing small loans and financial services to individuals typically excluded from the formal financial system, has the potential to improve household income, stimulate entrepreneurship, and foster local economic growth. Using a quantitative research approach, the study employed a cross-sectional survey design with stratified random sampling of 250 microfinance beneficiaries and 250 non-beneficiaries. Data were collected through structured questionnaires, interviews, and secondary sources, including government reports and MFI records. Statistical analysis, including descriptive statistics, paired sample t-tests, independent sample t-tests, multiple regression analysis, and Pearson’s correlation, was used to assess relationships between microfinance access and key economic and social indicators. The results show that microfinance beneficiaries experienced a significant increase in household income (mean increase of 28%) compared to non-beneficiaries. Additionally, entrepreneurship rates increased by 15% among beneficiaries, and improvements were reported in health (17% improvement) and education (13% improvement). However, challenges such as high interest rates, limited outreach to marginalized groups, and over-indebtedness were identified. Despite these limitations, microfinance was found to have a positive impact on economic development, though more accessible and tailored programs are needed to maximize its potential. Recommendations for policy improvements, programmatic changes, and areas for future research are provided to enhance the effectiveness of microfinance initiatives
Climate Change Effects and Stock Market Returns
Get PDFTo capture climate change risk at the business level, use records of performance briefings from different enterprises. This examination discovers that chances of worst climate change, the negative impact of business environment risk on market stock returns. Study also conducts a broad assessment of the empirical and theoretical literature on the influence of climate change related risks on financial market. The main aim of this analysis is to enhance our knowledge of the estimation significances of climate change risk in financial markets. It is initiated by discussing the theoretical connections between market asset pricing and climate change related risks, and then propose a hypothesis of how climate change risk drivers convey costs to enterprises and cause stock returns variations. It studies the historical climate change related events, which indicate that both climate physical effects and transition dynamics can cause a stock return volatility. Finally, the results imply that disclosures of climate change related information can support the stock market in more efficiently as pricing climate risk
The Impact of Social Media and Texting on Language Use and Communication Styles among Students in Punjab
Get PDFThis study explores the impact of social media and texting on language use and communication styles among university students in Punjab, Pakistan. With digital platforms becoming central to daily interactions, students increasingly engage in linguistic adaptations that blend traditional norms with digital influences. Using a qualitative methodology, this study involved semi-structured interviews and focus groups with a purposive sample of 10 students from multiple universities in Punjab. Data analysis through NVivo revealed nine key themes: Language Innovation, Code-Switching, Informal Tone, Brevity and Efficiency, Emotional Expression, Identity and Self-Expression, Conversational Dynamics, Cultural and Social Influence, and Academic Influence. The findings illustrate how students use abbreviations, emojis, and code-switching to communicate more efficiently while reflecting cultural and social identities. Additionally, students' informal tone in digital contexts often extends into academic settings, blurring lines between formal and casual language. Cultural dynamics, including peer influence and the interplay between Urdu and English, further shape digital communication practices, highlighting a generational shift in linguistic adaptability. This study contributes to the understanding of digital language evolution, offering insights into the educational and social implications of digital communication. It also underscores the need for educators to support students in navigating these linguistic shifts, balancing digital fluency with academic standards. Limitations include the sample size and focus on a specific region, suggesting future research could broaden demographic and contextual perspectives to further explore intergenerational dynamics in digital communication
General and Language Self-concept among University Foreign Language Learners
Get PDFSelf- concept studies are mostly Psychology- based studies. However, limited work is done in the area of language which focuses on self- concept as an affective factor. The present study explores the general self- concept and English self- concept of students who are studying English as a major and who are studying it as a part of their degree program. Students’ self- concepts are determined at the group as well as gender level. In order to determine the general self- concept, Shevelson’s SDQ111 questionnaire (social, emotional, academic, self-esteem only) was used and to find the general English self- concept, a questionnaire was designed on the pattern of SDQ111, which contained the parts covering four language skills, grammar and phonology. Simple mean values of their scores were taken. The findings of the study revealed that students of non- major group excelled the students of major in all self- concepts except for girls’ English self- concept. Gender differences were quite interesting. In both groups (major & non- major) girls showed higher level of self- concepts than boys. Important implications for future studies are discussed in the end
Against all Odds: Intangible Resources Driving Social Value Creation Among Women Entrepreneurs in Pakistan
Get PDFThis study explores the direct impact of intangible resources—including human capital, social capital, and reputational capital—on social value creation by women entrepreneurs in Pakistan. It further examines the moderating effects of perceived gender discrimination and entrepreneurial alertness on the relationship between these intangible resources and social value creation. Data were collected through a structured questionnaire from 122 Pakistani women social entrepreneurs and analyzed using SPSS and SMART PLS 3 software packages. The findings indicate that intangible resources significantly contribute to social value creation. Specifically, human capital and social capital are positively associated with social value creation. However, the positive influence of reputational capital on social value creation diminishes in the presence of high levels of perceived gender discrimination and entrepreneurial alertness. Interestingly, while perceived gender discrimination amplifies the positive effect of human capital on social value creation, entrepreneurial alertness does not significantly alter this relationship. In contrast, neither perceived gender discrimination nor entrepreneurial alertness moderates the relationship between social capital and social value creation. These results underscore the complexity of the interplay between intangible resources and external contextual factors in shaping social value creation among women entrepreneurs in Pakistan. The study highlights the critical need to support and enhance these intangible resources while addressing contextual barriers to foster greater social impact through women’s entrepreneurship
Explore the Relationship between Personality (e.g. Big Five Personality Traits) and Job Performance, Leadership or Career Success
Get PDFThis study deals with how personality traits, including conscientiousness, extraversion, and emotional stability, play a role in job performance, leadership effectiveness, and career success. The methodology has been the carefully designed survey of employees from various sectors in Punjab, Pakistan, including professionals at different stages of their careers and leaders. All types of professionals were well represented through drawing the population from education, healthcare business, and government sectors. The stratified random sampling method was employed to generate a sample size that would ensure enough representation from each of the subgroups, which are divided by the job role, industry, and experience. The gathered data were subjected to an analysis using various statistical tools, such as regression analysis, t-tests, and ANOVA. Conscientiousness in relation to job performance was examined via regression analysis. Leadership efficacy between extraverts and non-extraverts was measured using the t-tests. ANOVA was employed to examine the differences in career success among individuals exhibiting varying levels of emotional stability. Ethical considerations were meticulously adhered to, guaranteeing participant consent, privacy, and the right to withdraw at any stage of the study. The findings indicated that conscientiousness served as a positive predictor of job performance, while extraversion was correlated with enhanced leadership effectiveness, and emotional stability was significantly related to career success. These findings stress the relevance of personality traits in shaping professional results. The results indicate that personality assessments should be integrated into recruitment, leadership development, and career counseling practices