Inverge Journal of Social Sciences
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    Green HRM Practices and Their Impact on Eco-Friendly Employee Behavior in Tourism

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    This study explores the relationship between Green Human Resource Management (Green HRM) practices and eco-friendly employee behavior within Pakistan’s tourism sector. As the tourism industry increasingly faces environmental challenges, adopting sustainable practices at the organizational level has become essential. Guided by the Ability-Motivation-Opportunity (AMO) theory, this research investigates how specific Green HRM components, green recruitment, green training and development, green performance management, green rewards, and employee involvement, contribute to shaping pro-environmental behavior among employees. Using a qualitative research design, data were collected from 50 employees working in tourism-related organizations through semi-structured interviews and analyzed thematically. The findings indicate that all five Green HRM practices positively influence employees’ environmental behavior, with green training and rewards emerging as the most impactful factors. The study also highlights that involving employees in sustainability initiatives strengthens their sense of responsibility and fosters a green organizational culture. These insights emphasize the strategic role of Green HRM in promoting sustainable practices, offering valuable implications for HR professionals and policymakers aiming to enhance environmental performance in tourism. Despite its contributions, the study is limited by a small sample size and geographic scope, suggesting the need for broader, longitudinal research in the future. References Aboramadan, M., & Karatepe, O. M. (2021). Green human resource management, perceived green organizational support and their effects on hotel employees’ behavioral outcomes. International Journal of Contemporary Hospitality Management, 33(10), 3199–3222. https://doi.org/10.1108/IJCHM-11-2020-1300 Alkhozaim, S. M., Alshiha, F. A., Alnasser, E. M., & Alshiha, A. A. (2024). How Green Performance Is Affected by Green Talent Management in Tourism and Hospitality Businesses: A Mediation Model. Sustainability, 16(16), 7093. https://doi.org/10.3390/su16167093 Atalla, A. D. G., El-Ashry, A. M., & Khattab, S. M. K. (2025). Fostering eco-friendly excellence: Exploring the relationship between green human resource practices and organizational environmental performance as perceived by nurses: A cross-sectional study. BMC Nursing, 24(1), 495. https://doi.org/10.1186/s12912-025-XXXX-X (DOI not yet available; check upon publication) Asif, D. M., & Shaheen, A. (2022). Creating a High-Performance Workplace by the determination of Importance of Job Satisfaction, Employee Engagement, and Leadership. Journal of Business Insight and Innovation, 1(2), 9–15. Asif, M., Khan, A., & Pasha, M. A. (2019). Psychological capital of employees’ engagement: moderating impact of conflict management in the financial sector of Pakistan. Global Social Sciences Review, IV, 160-172. http://dx.doi.org/10.31703/gssr.2019(IV-III).15 Babaei, Y., & Fani, M. (2022). The effect of green human resource management on environmental citizenship behavior and environmentally-friendly behaviors of hotel staff. Tourism Management, 16(56), 211–249.  Elziny, M. (2019). The impact of green human resource management on hotel employees’ eco-friendly behavior. International Academic Journal Faculty of Tourism and Hotel Management, 5(1), 107–126.  Fahim, F., Khan, N. R., Ahmad, A., & Ali, A. (2019). Green human resource management and firm\u27s environmental performance: Mediating role of employee commitment, green involvement and eco-friendly behaviour. Paradigms, 13(2), 18–25.  Gomes, D. R., Ribeiro, N., Gomes, G., Ortega, E., & Semedo, A. (2024). Green HRM\u27s Effect on Employees\u27 Eco-Friendly Behavior and Green Performance: A Study in the Portuguese Tourism Sector. Sustainability, 16(22), 1–20. https://doi.org/10.3390/su16229234 Hawela, M., Bayraktar, O., Karabulut, A. T., Sarı, B., & Alqahtani, M. S. (2025). Advancing sustainability in Turkish hospitality sector: The interplay between green HRM, eco-friendly behaviors, and organizational support. Sustainability, 17(5), 1958. https://doi.org/10.3390/su17051958 Irani, F., Kiliç, H., & Adeshola, I. (2022). Impact of green human resource management practices on the environmental performance of green hotels. Journal of Hospitality Marketing & Management, 31(5), 570–600. https://doi.org/10.1080/19368623.2022.2026776 Khan, K., Gogia, E. H., Shao, Z., Rehman, M. Z., & Ullah, A. (2025). The impact of green HRM practices on green innovative work behaviour: Empirical evidence from the hospitality sector of China and Pakistan. BMC Psychology, 13(1), 96.  Nisar, Q. A., Hussain, K., Sohail, S., Yaghmour, S., Nasir, N., & Haider, S. (2023). Green HRM and sustainable performance in Malaysian hotels: The role of employees\u27 pro-environmental attitudes and green behaviors. Tourism: An International Interdisciplinary Journal, 71(2), 367–387. (DOI not found; check journal website) Ogiemwonyi, O., Alam, M. N., & Alotaibi, H. S. (2023). Connecting green HRM practices to pro‐environmental behavior through green human capital in the hospitality sector. Business Strategy & Development, 6(4), 1053–1071. https://doi.org/10.1002/bsd2.287 Patwary, A. K., Mohd Yusof, M. F., Bah Simpong, D., Ab Ghaffar, S. F., & Rahman, M. K. (2023). Examining proactive pro-environmental behaviour through green inclusive leadership and green human resource management: An empirical investigation among Malaysian hotel employees. Journal of Hospitality and Tourism Insights, 6(5), 2012–2029. https://doi.org/10.1108/JHTI-01-2023-0002 Pervaiz, R., Pervaiz, B., & Manzoor, M. Q. (2022). Impact of green human resource management on eco-friendly Behavior, organizational commitment, and environmental performance of hotel employees in Pakistan. Academic Journal of Social Sciences (AJSS), 6(4), 036–053.  Putra, D. T., Palupiningtyas, D., Nugraheni, K. S., Putri, J. A., & Kristanto, F. H. (2024). Empowering Employees through Green HRM: Fostering Eco-Friendly Tourism in Semarang Regency. Momentum Matrix: International Journal of Communication, Tourism, and Social Economic Trends, 1(2), 01–14. (DOI not available; likely a new journal) Raza, S. A., & Khan, K. A. (2022). Impact of green human resource practices on hotel environmental performance: The moderating effect of environmental knowledge and individual green values. International Journal of Contemporary Hospitality Management, 34(6), 2154–2175. https://doi.org/10.1108/IJCHM-08-2021-1043 Ribeiro, N., Gomes, D. R., Ortega, E., Gomes, G. P., & Semedo, A. S. (2022). The impact of green HRM on employees’ eco-friendly behavior: The mediator role of organizational identification. Sustainability, 14(5), 2897. https://doi.org/10.3390/su14052897 Rehman, S. U., Elrehail, H., Alshwayat, D., Ibrahim, B., & Alami, R. (2023). Linking hotel environmental management initiatives and sustainable hotel performance through employees’ eco-friendly behaviour and environmental strategies: A moderated-mediated model. European Business Review, 35(2), 184–201. https://doi.org/10.1108/EBR-02-2022-0039 Tirno, R. R., Islam, N., & Happy, K. (2023). Green HRM and ecofriendly behavior of employees: Relevance of proecological climate and environmental knowledge. Heliyon, 9(4), e15056. https://doi.org/10.1016/j.heliyon.2023.e15056 Vu, T. D., Nguyen, T. T. N., Nguyen, H. N., & Nguyen, M. H. (2025). Sustainable management in the hospitality industry: The influence of green human resource management on employees’ pro-environmental behavior and environmental performance. Journal of Hospitality and Tourism Insights. https://doi.org/10.1108/JHTI-09-2024-091

    A Comparative Study of Public and Private School Teachers’ Teaching Styles in Khyber Pakhtunkhwa Pakistan

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    Teaching style is one of the most important aspects of student-teacher interaction patterns at the classroom level, as it directly influences the dynamics of learning and the achievement of desired educational outcomes. This comparative study aimed to investigate differences in teaching styles between public and private secondary school teachers, considering how institutional structures and resources might shape pedagogical approaches. Teachers from both public and private secondary schools constituted the population for this research, and the study followed a descriptive qualitative research design to capture nuanced differences in instructional methods. A Teaching Style Inventory (TSI) was used as the primary tool for data collection, which was pilot-tested to ensure validity and reliability before the formal data-gathering process. The collected data were analysed using frequencies, mean scores, and independent sample t-tests to compare the two groups systematically. The findings revealed that while there was no statistically significant difference between the teaching styles of public and private school teachers, the majority of educators in both sectors still adhered to traditional, teacher-centred approaches, such as lecture-based instruction, rather than adopting more student-centred, interactive methods like collaborative learning or inquiry-based techniques. These results suggest that institutional type (public vs. private) may not be the defining factor in teaching style variation, but rather, broader educational policies, teacher training programs, and cultural norms in pedagogy play a more influential role. Given the global shift toward 21st-century skills—such as critical thinking, creativity, and student autonomy—the study recommends that teachers in both sectors actively work toward modernizing their instructional strategies. Professional development workshops, peer mentoring, and exposure to innovative teaching models could facilitate this transition, ultimately enhancing the overall quality of secondary education. Future research could explore the underlying reasons for the persistence of traditional methods and assess the impact of specific training interventions on teaching style evolution. References Altay, S. (2009). Beşinci sınıf öğretmenlerinin sosyal bilgiler dersindeki öğretme stillerinin incelenmesi. Unpublished master’s thesis, Çukurova Üniversitesi Sosyal Bilimler Enstitüsü, Adana. Artvinli, E. (2010). Teaching styles of geography teachers. Electronic Journal of Social Sciences, 9(33), 387-408. Barrett, K. R. (2004). Comparison of Online Teaching Styles in Florida Community Colleges. Bılgın, İ., & Bahar, M. (2008). Sınıf Öğretmenlerinin Öğretme Ve Öğrenme Stilleri Arasındaki İlişkinin İncelenmesi. Gazi University Journal of Gazi Educational Faculty (GUJGEF), 28(1). Blanch-Payne, E. D. (2001). Teaching styles of faculty and learning styles of their students: Congruent versus incongruent teaching styles with regards to academic disciplines and gender. Grasha, A. (2002). A practical guide to enhancing learning by understanding teaching and learning styles. Grasha, A. F. (1994). Discovering your best teaching styles. College Teaching, 42(4), 122-123. Grasha, A. F. (1995). Teaching with Style: The Integration of Teaching and Learning Styles in the Classroom. The Professional and Organizational Development Network in Higher Education. Grasha, A. F. (2003). The dynamics of one-on-one teaching. College Teaching, 50(4), 139-146. Grasha, A. F., & Yangarber-Hicks, N. (2000). Integrating teaching styles and learning styles with instructional technology. College teaching, 48(1), 2-10. Gülten, D. Ç., & Özkan, E. (2014). Ilköğretim Öğretmenlerinin Öğretim Stillerinin Çeşitli Değişkenler Açisindan Incelenmesi. Dicle Üniversitesi Ziya Gökalp Eğitim Fakültesi Dergisi, (23), 192-217. Işıkoğlu, N., Baştürk, R., & Karaca, F. (2009). Assessing in-service teachers’ instructional beliefs about student-centered education: A Turkish Perspective. Teaching and Teacher Education, 25(2), 350-356. Johnson, C. S. (1999). A comparison of the teaching styles of full-time and part-time community college faculty (Doctoral dissertation, Florida Atlantic University). Kılıç, F., & Dilbaz, G. A. (2013). Fen lisesi öğretmenlerinin öğretim stillerinin çeşitli değişkenler açısından incelenmesi. The Journal of Academic Social Science Studies, 6(6), 715-738. Ünal, G., & Akpınar, E. (2006). To what extent science teachers are constructivist in their classrooms? Journal of Baltic Science Education, 2, 40-50. Uredi, I., & Üredi, L. (2009). Yapilandirmaci Öğrenme Ortami Üzerinde Etkili Olabilecek Bir Değişken: Öğretim Stili Tercihi. Education Sciences, 4(4), 1171-1185. Üredi, L. (2011). Ilköğretim öğretmenlerin öğretim stili tercihleri ile demografik özellikleri arasindaki ilişki. Education Sciences, 6(1), 1129-1141. Üredi, L., & Güven, Y. (2007). İlköğretim I. ve II. kademe öğretmenlerinin öğretim stili tercihlerine göre öğretmenlik mesleğine ilişkin algılarının incelenmesi. Vaughn, L. M., & Baker, R. C. (2008). Do different pairings of teaching styles and learning styles make a difference? Preceptor and resident perceptions. Teaching and learning in medicine, 20(3), 239-247. Vaughn, L., & Baker, R. (2001). Teaching in the medical setting: balancing teaching styles, learning styles and teaching methods. Medical teacher, 23(6), 610-612. Whittington, M. S., & Raven, M. R. (1995). Learning and teaching styles of student teachers in the Northwest. Journal of Agricultural Education, 36(4), 10-17. Wilson, S. L. (1997). The effect of two teaching styles on children\u27s skill performance and task analysis ability (Doctoral dissertation, University of Virginia)

    A Synergistic Imperative: An Integrated Policy and Education Framework for Navigating the Climate Nexus

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    Climate change acts as a systemic multiplier of threats, exacerbating interconnected global crises that jeopardize food security, biodiversity, and environmental health. These challenges are compounded by socioeconomic inequalities and governance gaps, with vulnerable populations disproportionately bearing the consequences of rising temperatures, extreme weather events, and ecosystem degradation. While climate policy and environmental education have been extensively researched as separate disciplines, the critical intersection where these two fields must converge to function synergistically, bridging institutional action with community empowerment, remains significantly underexplored. This review addresses this gap by arguing that persistent failures in achieving climate goals stem not from technical limitations but from a fundamental strategic disengagement between top-down governance structures and bottom-up societal participation. Policymakers often overlook the role of localized knowledge and grassroots engagement, while educational initiatives frequently lack structural linkages to policy implementation channels. Through a critical analysis of global case studies and meta-analytical data, this study examines the systemic shortcomings of siloes approaches and demonstrates how robust public education serves not as a peripheral tool but as a foundational catalyst for policy success and behavioural transformation. The paper presents an evidence-based trilateral framework integrating: (1) Coherent Governance (cross-sectorial policy alignment and enforcement mechanisms), (2) Ecological Literacy (multilevel environmental education spanning formal curricula to community workshops), and (3) Participatory Mechanisms (inclusive decision-making platforms that value traditional ecological knowledge). This model is empirically illustrated through a longitudinal analysis of South Asia\u27s chronic air pollution crisis, revealing how policy failures directly correlate with deficits in public awareness and civic engagement infrastructure. The findings underscore that systemic resilience in the face of 21st-century sustainability challenges requires deliberate, institutionalized synergy between these pillars. By aligning legislative and regulatory mandates with community-driven monitoring and adaptive learning systems, this integrated approach offers a replicable pathway to transform climate goals from aspirational targets into measurable outcomes, ensuring both equitable implementation and sustained societal transformation across diverse geopolitical contexts. References Abrahms, B. (2021). Human-wildlife conflict under climate change. Science, 373(6554), 484–485. https://doi.org/10.1126/science.abj4216 Adnan, M., Xiao, B., Bibi, S., Xiao, P., Zhao, P., & Wang, H. (2024). Addressing current climate issues in Pakistan: An opportunity for a sustainable future. Environmental Challenges, 15, 100887. https://doi.org/10.1016/j.envc.2024.100887 Ait El Mokhtar, M., Anli, M., Laouane, R. B., Boutasknit, A., Boutaj, H., Draoui, A., ... & Fakhech, A. (2019). Food security and climate change. In V. Erokhin (Ed.), Handbook of research on global environmental changes and human health (pp. 53–73). IGI Global. https://doi.org/10.4018/978-1-6684-3686-8.ch003 Anyachebelu, N. C., Nweke, P. O., & Opara, F. N. (2022). Challenges and prospects of implementing international environmental treaties in developing nations amid economic and political constraints. Development, 34(1), 66–80. https://doi.org/10.1080/14740338.2022.2046012 Ayub, M. A., ur Rehman, M. Z., Umair, M., Rana, S., Ahmad, Z., Khalid, N., ... & Zia, H. (2022). Emerging water pollutants from food and packaging industry. In Emerging water pollutants: Concerns and remediation technologies (pp. 53–76). 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Enhancing environmental education to promote pre-emptive smog mitigation strategies in urban areas of South Punjab: An overview. Journal of Asian Development Studies, 13(3), 956–964. Khalid, N., Rafiq-uz-Zaman, M., Tahira, W., & Maqbool, M. (2024). Solid waste and environmental sustainability: Educational approaches to managing urban waste in Bahawalpur City. Journal of Climate and Community Development, 3(2), 155–170. Khalid, N., Salma, H., Nadeem, M., Ashraf, M. I., Nawaz, H., & Ayub, M. A. (2024). Climate change causes food insecurity for developing countries. Journal of Health and Climate Change, 3(1), 45–58. King, J. S., Manning, J., & Woodward, A. (2023). In this together: International collaborations for environmental and human health. Journal of Law, Medicine & Ethics, 51(2), 271–286. https://doi.org/10.1017/jme.2023.45 Konyalıoğlu, A., & Oturakçı, M. (2024). Critical thinking in environmental education: A framework for curriculum design. Journal of Environmental Education, 55(1), 34–50. https://doi.org/10.1080/00958964.2023.2255678 Kumar, R., Manna, C., Padha, S., Verma, A., Sharma, P., Dhar, A., ... & Bhattacharya, P. (2022). Micro(nano)plastics pollution and human health: How plastics can induce carcinogenesis to humans? Chemosphere, 298, 134267. https://doi.org/10.1016/j.chemosphere.2022.134267 Ma, L., Chen, Y., & Smith, R. (2023). Bridging the implementation gap in climate policy: The role of public engagement. Environmental Policy and Governance, 33(4), 245–260. https://doi.org/10.1002/eet.2045 Maione, M., Fowler, D., Monks, P. S., Reis, S., Rudich, Y., Williams, M. L., & Fuzzi, S. (2016). Air quality and climate change: Designing new win-win policies for Europe. Environmental Science & Policy, 65, 48–57. https://doi.org/10.1016/j.envsci.2016.03.011 Majlingova, A., & Kádár, J. (2025). 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    Investigating the Psychological Impact of Corrective Feedback on ESL Students’ Language Anxiety

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    This study investigates the psychological impact of corrective feedback on English as a Second Language (ESL) students\u27 language anxiety using a quantitative research approach. Conducted among 80 intermediate-level ESL learners in Lahore and Karachi, Pakistan, the research examines how different types and frequencies of corrective feedback, explicit correction, metalinguistic feedback, recasts, clarification requests, and elicitation, affect learners’ emotional responses. Data were collected through a structured questionnaire incorporating items from the Foreign Language Classroom Anxiety Scale (FLCAS) and were analysed using descriptive statistics, independent samples t-tests, and Pearson correlation coefficients. The findings reveal that explicit correction and metalinguistic feedback are most strongly associated with elevated levels of language anxiety, while recasts result in significantly lower anxiety responses. A moderate positive correlation was also found between feedback frequency and anxiety levels, indicating that more frequent corrective input can exacerbate learners\u27 emotional discomfort. These results highlight the need for pedagogical practices that balance effective error correction with emotional sensitivity. The study underscores the importance of using indirect feedback strategies and fostering a psychologically supportive classroom environment to enhance ESL learners\u27 confidence and communicative engagement. References Aljasser, A. (2025). Investigating EFL students’ perceptions of feedback: A comparative study of instructor and ChatGPT-generated responses in academic writing. Education and Information Technologies, 1-22. Biju, N., Abdelrasheed, N. S. G., Bakiyeva, K., Prasad, K. D. V., & Jember, B. (2024). Which one? AI-assisted language assessment or paper format: An exploration of the impacts on foreign language anxiety, learning attitudes, motivation, and writing performance. Language Testing in Asia, 14(1), 45. Charalampous, A., & Darra, M. (2025). The effect of teacher\u27s feedback on student academic achievement: A literature review. Journal of Education and Learning, 14(1), 42–53. Chen, H., Rasool, U., Hu, T., & Bhattacharyya, E. (2025). Examining the beliefs of non-native English-speaking teachers and EFL students about WCF in enhancing writing skills. Acta Psychologica, 256, 105064. Cheng, X., & Xu, J. (2025). Engaging second language (L2) students with synchronous written corrective feedback in technology-enhanced learning contexts: A mixed-methods study. Humanities and Social Sciences Communications, 12(1), 1–13. Darazi, M. A., Khoso, A. K., & Mahesar, K. A. (2023). Investigating the effects of ESL teachers’ feedback on ESL undergraduate students’ level of motivation, academic performance, and satisfaction: Mediating role of students’ motivation. Pakistan Journal of Educational Research, 6(2). Ebadijalal, M., & Yousofi, N. (2023). The impact of mobile-assisted peer feedback on EFL learners’ speaking performance and anxiety: Does language make a difference? The Language Learning Journal, 51(1), 112–130. Gregersen, T. (2023). Feedback matters: Thwarting the negative impact of language anxiety. Annual Review of Applied Linguistics, 43, 56–63. Hajiyeva, B. (2024). Language anxiety in ESL learners: Causes, effects, and mitigation strategies. EuroGlobal Journal of Linguistics and Language Education, 1(1), 119–133. Liu, C. C., Hwang, G. J., Yu, P., Tu, Y. F., & Wang, Y. (2025). Effects of an automated corrective feedback-based peer assessment approach on students’ learning achievement, motivation, and self-regulated learning conceptions in foreign language pronunciation. Educational Technology Research and Development, 1-22. Mao, Z., Lee, I., & Li, S. (2024). Written corrective feedback in second language writing: A synthesis of naturalistic classroom studies. Language Teaching, 1-29. Patra, I., Alazemi, A., Al-Jamal, D., & Gheisari, A. (2022). The effectiveness of teachers’ written and verbal corrective feedback (CF) during formative assessment (FA) on male language learners’ academic anxiety (AA), academic performance (AP), and attitude toward learning (ATL). Language Testing in Asia, 12(1), 19. Rassaei, E. (2023). The interplay between corrective feedback timing and foreign language anxiety in L2 development. Language Teaching Research, 13621688231195141. Sari, E., & Han, T. (2024). The impact of automated writing evaluation on English as a foreign language learners\u27 writing self-efficacy, self-regulation, anxiety, and performance. Journal of Computer Assisted Learning, 40(5), 2065–2080. Shahid, N., Asif, M., & Pasha, D. A. (2022). Effect of Internet Addiction on School Going Children. Inverge Journal of Social Sciences, 1(1), 13–55. https://doi.org/10.63544/ijss.v1i1.3 Wang, D. (2024). Teacher-versus AI-generated (Poe application) corrective feedback and language learners’ writing anxiety, complexity, fluency, and accuracy. International Review of Research in Open and Distributed Learning, 25(3), 37–56. Wang, J., Zhou, T., & Fan, C. (2025). Impact of communication anxiety on L2 WTC of middle school students: Mediating effects of growth language mindset and language learning motivation. PLoS ONE, 20(1), e0304750. Watcharapol, W., Phornrat, T., Teavakorn, K., Tidarat, N., Kanokpan, W., Somkiat, K., & Nattawut, J. (2023). Preferences for oral corrective feedback: Are language proficiency, first language, foreign language classroom anxiety, and enjoyment involved? Journal of Language and Education, 9(1), 172–184. Xiong, Y., Zhang, Q., Zhao, L., Liu, S., Guan, H., Sui, Y., ... & Lee, K. M. R. (2024). A meta-analysis and systematic review of foreign language anxiety interventions among students. Journal of Language and Social Psychology, 43(5-6), 620–650

    Scrolls and Shadows: Mapping the Silent Surge of Social Media Addiction and Social Anxiety through Bibliometric Analysis

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    The psychological landscape under the sparkling surface of likes, shares, and scrolling feeds is intricate and becoming more pressing. The current examination engages in a conceptual excavation of the growing interconnection between social media addiction (SMA) and social anxiety, questioning trends and trajectories that have taken hold in the academic literature produced after 2020. Based on 8,822 works found in the Scopus database, the research yields a bibliometric mapping of a discipline marked by the digital rush of the COVID age and the quiet epidemic of behavioural addictions. Focusing specifically on articles in psychology and the social sciences written in English, the study reports an exponential increase in research volume from 2020 to 2024, followed by a gentle slowdown; however, the level of intellectual activity and international collaboration remains high. The leading publishing venues are identified as a set of specific journals, including Addictive Behaviours, Computers in Human Behaviour, and Frontiers in Psychology. Meanwhile, Chinese, UK, and US-American scholars and institutions are the top contributors to the global research agenda. Thematic groups highlight the inseparability of SMA and its association with depression, anxiety, loneliness, and the mental well-being of adolescents in the wake of digital transformation and immersive technologies. Popular topics, such as machine persuasion, algorithms, and neural engagement, represent a paradigm shift in post-pandemic behavioural changes, underscoring the role of AI-driven content curation in exacerbating compulsive usage patterns. Emerging studies also explore cultural variations in SMA, gender disparities in coping mechanisms, and the long-term neurological effects of prolonged exposure to algorithmically optimized feeds. The research not only maps scholarly literature but also provides a guide to future research, offering tactical information to researchers, especially new ones, on how to conduct research, where to look, and whom to collaborate with in this fast-growing area of psychology. Additionally, it calls for interdisciplinary approaches, blending cognitive science, digital ethics, and policy-making to mitigate the adverse psychological impacts of hyper-connectivity. References Abdullahi, O. A., Bahari, M., Miskon, S., & Abu Yazid, M. (2024). Social media addiction and academic performance: A bibliometric analysis approach. International Journal of Academic Research in Business and Social Sciences, 14(1), 1217-1228. Adie, L. E., Willis, J., & Van der Kleij, F. M. (2018). Diverse perspectives on student agency in classroom assessment. The Australian Educational Researcher, 45(1), 1-12. Amundsen, P. A., Evans, D. W., Rajendran, D., Bright, P., Bjørkli, T., Eldridge, S., . . . Froud, R. J. B. m. d. (2018). Inclusion and exclusion criteria used in non-specific low back pain trials: a review of randomised controlled trials published between 2006 and 2012. 19, 1-13. Azizan, A. J. J. o. S. R. (2024). Exploring the role of Social Media in Mental Health research: A bibliometric and content analysis. 13(1), 01-08. Baldini, V., Varallo, G., Liguori, R., Rapelli, G., Di Stefano, R., Scorza, M., . . . Plazzi, G. (2024). Suicidal thoughts and their relationship with sleep quality, depressive symptoms, and quality of life in adults with Spinal Muscular Atrophy. Çalışkan, M. M. T. J. S. Ü. S. B. D. (2025). A Bibliometric Analysis of International Relations In Sights Across Economics, Business Finance and Social Sciences. 9(1), 726-774. Casale, S., Fioravanti, G., Gori, A., Nigro, F., & Bocci Benucci, S. J. P. R. (2025). Investigating the Role of Avoidance Expectancies and Metacognitions About Social Compensation Through SNSs in the Pathway From Psychological Distress to Problematic Social Networking Sites Use. 00332941251320309. Cunningham, C. X., Williamson, G. J., Bowman, D. M. J. N. E., & Evolution. (2025). Reply to: Increases in the world’s most extreme wildfire events probably driven by fire size and simultaneity. 1-4. Garg, G. (2023). A study of Social Networking Addiction, FOMO and Self Esteem among young adults. International Journal of Interdisciplinary Approaches in Psychology, 1(3), 152-232. Goncalves, M., & Ahumada, E. D. L. V. (2025). A Bibliometric Analysis of Women Entrepreneurship: Current Trends and Challenges. Merits, 5(2), 9. Li, X., Yuan, K., Li, B., Guan, F., Shao, Y., Yu, Z., . . . Yao, S. (2025). NTIRE 2025 challenge on short-form ugc video quality assessment and enhancement: Methods and results. Paper presented at the Proceedings of the Computer Vision and Pattern Recognition Conference. Maheux, A. J., Burnell, K., Maza, M. T., Fox, K. A., Telzer, E. H., Prinstein, M. J. J. J. o. C. P., & Psychiatry. (2025). Annual Research Review: Adolescent social media use is not a monolith: toward the study of specific social media components and individual differences. 66(4), 440-459. Mainata, D., Hanafi, M. M., Setiyono, B. J. J. o. I. A., & Research, B. (2025). Mapping global trends and future opportunities in Islamic banking windows: a 15-year bibliometric perspective (2008–2023). Ng, J. R., Sim, J. X. V., & Goh, V. Z. X. (2024). Social media addiction (SMA), internet gaming disorder (IGD), and online shopping addiction (OSA) as predictors of psychological well-being (PWB). UTAR.   Organization, W. H. O. J. G. W. H. (2018). The 11th revision of the International Classification of Diseases (ICD-11). Pelissari, R., Oliveira, M. C., Amor, S. B., Kandakoglu, A., & Helleno, A. L. J. A. o. O. R. (2020). SMAA methods and their applications: a literature review and future research directions. 293, 433-493. Rahsepar Meadi, M., Sillekens, T., Metselaar, S., van Balkom, A., Bernstein, J., & Batelaan, N. J. J. m. h. (2025). Exploring the ethical challenges of conversational AI in mental health care: scoping review. 12, e60432. Roberts, J. A., & David, M. E. J. C. i. h. b. (2016). My life has become a major distraction from my cell phone: Partner phubbing and relationship satisfaction among romantic partners. 54, 134-141. Singh, V. K., Singh, P., Karmakar, M., Leta, J., & Mayr, P. (2021). The journal coverage of Web of Science, Scopus and Dimensions: A comparative analysis. Scientometrics, 126(6), 5113-5142. Su, Y.-S., Lin, C.-L., Chen, S.-Y., & Lai, C.-F. J. L. H. T. (2020). Bibliometric study of social network analysis literature. 38(2), 420-433. Torous, J., Bucci, S., Bell, I. H., Kessing, L. V., Faurholt‐Jepsen, M., Whelan, P., . . . Firth, J. J. W. P. (2021). The growing field of digital psychiatry: current evidence and the future of apps, social media, chatbots, and virtual reality. 20(3), 318-335. Uwalaka, T., Nwala, B. J. C., & Public, t. (2023). Examining the role of social media and mobile social networking applications in socio-political contestations in Nigeria. 8(3), 175-190. Wan, H. W., Carey, K. A., D’Silva, A., Vucic, S., Kiernan, M. C., Kasparian, N. A., & Farrar, M. A. (2020). Health, wellbeing and lived experiences of adults with SMA: a scoping systematic review. Orphanet Journal of Rare Diseases, 15(1), 70. Widyanty, W., Oktasari, D. P., Riyanto, S., Nusraningrum, D., Damayanti, S., Sumaedi, S., . . . Management. (2025). Employee green behavior: mapping knowledge structures and future directions. 12(1), 2440814

    A Comprehensive Analysis of Social Media’s Influence on English Vocabulary Development in Pakistan

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    This paper seeks to analyse the role of social networking sites in influencing English vocabulary learning by the Pakistani youth, in terms of the kind of vocabulary learnt, the linguistic patterns that dominate as well as the difference between the different ages, among others. It also aims to determine the implications of incorporating social media into formal learning situations in terms of education. The research adopted quantitative research design with structured questionnaire meant to be filled out by 350 respondents (with ages 13-35 with diverse demographic backgrounds). The questionnaire comprised five parts which discussed demographics, use of social media, vocabulary impact, attitudes and the impact of the education. Descriptive statistics, cross-tabulations, and correlation testing was made and reliability was ensured by means of the obtained Cronbach Alpha values of 0.62 and 0.82. Findings demonstrated that majority of respondents (70 percent) identified social media as having had positive influence on their English vocabulary with most of the improvement coming in informal slang (80 percent) and Urdu-English hybrid language expressions (60 percent) with 30 percent of the respondents reporting an improvement in formal or academic vocabulary. Instagram, TikTok, and YouTube were found to be the most widely used, and their use remains very heavy every day. The younger participants and the urban youth were better adopters of new vocabulary than the older and rural people. Although 70 percent of people are in favour of such a strategy as the incorporation of social media in education, an issue arises as to its tendency of promoting the usage of informal rather than formal language. This paper can be seen as an empirical contribution to sociolinguistic and educational processes of social media in a multilingual perspective, including the pros and cons of its versatile nature as an open accessible language learning aid and its inability to achieve formal fluency in a language. The scholarly contribution of the findings is helpful to teachers, school administrators, and curriculum developers who aim to stay in line with both digital experience and maintaining the level of academic English in the Pakistani context. References Abbas, J., Aman, J., Nurunnabi, M., & Bano, S. (2019). The impact of social media on learning behavior for sustainable education: Evidence of students from selected universities in Pakistan. Sustainability, 11(6), 1683. https://doi.org/10.3390/su11061683 Afshar, M. Z., & Shah, M. H. (2025). Examining The Role Of Change Management In Enhancing Organizational Resilience In Public Sector Entities. Center for Management Science Research, 3(3), 931-942. Afshar, M. Z., & Shah, M. H. (2025). Examining Vision Sharing as a Driver of Organizational Resilience: Evidence from Public Sector Contexts in Developing Economies. Indus Journal of Social Sciences, 3(2), 971-985. Afzal, M., Arshad, N., & Shaheen, A. (2025). ChatGPT and the Future of Academic Writing: Enhancing Productivity and Creativity. Journal of Engineering and Computational Intelligence Review, 3(1), 1-11. Arshad, N., Baber, M. U., & Ullah, A. (2024). Assessing the transformative influence of ChatGPT on research practices among scholars in Pakistan. Mesopotamian Journal of Big Data, 2024, 1-10. Asghar, M. Z., Barbera, E., Rasool, S. F., Seitamaa-Hakkarainen, P., & Mohelská, H. (2023). Adoption of social media-based knowledge-sharing behaviour and authentic leadership development: evidence from the educational sector of Pakistan during COVID-19. Journal of Knowledge Management, 27(1), 59-83. https://doi.org/10.1108/JKM-01-2022-0003 Ittefaq, M. (2019). Digital diplomacy via social networks: A cross-national analysis of governmental usage of Facebook and Twitter for digital engagement. Journal of Contemporary Eastern Asia, 18(1), 49-69. Jamil, S. (2020). Ethnic news media in the digital age: the impact of technological convergence in reshaping journalists\u27 practices in Pakistan. Journal of Multicultural Discourses, 15(2), 219-239. Khan, I. U., Hameed, Z., Khan, S. N., Khan, S. U., & Khan, M. T. (2022). Exploring the effects of culture on acceptance of online banking: A comparative study of Pakistan and Turkey by using the extended UTAUT model. Journal of Internet Commerce, 21(2), 183-216. https://doi.org/10.1080/15332861.2021.2008556 Khan, L., Amjad, A., Afaq, K. M., & Chang, H. T. (2022). Deep sentiment analysis using CNN-LSTM architecture of English and Roman Urdu text shared in social media. Applied Sciences, 12(5), 2694. https://doi.org/10.3390/app12052694 Li, Y., & Zhang, M. (2022). Generational patterns of modal shares across megaregions. Transportation Research Record, 2676(6), 141-155. Mahmood, Q. K., Jafree, S. R., Mukhtar, S., & Fischer, F. (2021). Social media use, self-efficacy, perceived threat, and preventive behavior in times of COVID-19: results of a cross-sectional study in Pakistan. Frontiers in Psychology, 12, 562042. https://doi.org/10.3389/fpsyg.2021.562042 Mangla, A., Bansal, R. K., & Bansal, S. (2023, December). Code-mixing and code-switching on social media text: A brief survey. In 2023 IEEE International Conference on Computer Vision and Machine Intelligence (CVMI) (pp. 1-5). IEEE. Mirza, Q., Pathan, H., Khatoon, S., & Hassan, A. (2021). Digital age and reading habits: Empirical evidence from Pakistani Engineering University. TESOL International Journal, 16(1), 210-231. Mosaddeque, A., Rowshon, M., Ahmed, T., Twaha, U., & Babu, B. (2022). The Role of AI and Machine Learning in Fortifying Cybersecurity Systems in the US Healthcare Industry. Inverge Journal of Social Sciences, 1(2), 70-81. Muftah, M. (2024). Impact of social media on learning English language during the COVID-19 pandemic. PSU Research Review, 8(1), 211-226. Naqvi, S. B., & Kapasi, T. (2024). Language Evolution in Social Media: Exploring English Transformations through Digital Communication. *Library of Progress-Library Science, Information Technology & Computer, 44*(3). Panjaitan, L. L., & Patria, A. N. (2024). Social Media and Language Evolution: The Impact of Digital Communication on Language Change. International Journal of Linguistics, Literature and Translation, 7(12), 53-57. Ramzan, M., Bibi, R., & Khunsa, N. (2023). Unraveling the Link between Social Media Usage and Academic Achievement among ESL Learners: A Quantitative Analysis. Global Educational Studies Review, VIII, 407-421. Rowshon, M., Mosaddeque, A., Ahmed, T., & Twaha, U. (2025). Exploring the Impact of Generative AI and Virtual Reality on Mental Health: Opportunities, Challenges, and Implications for Well-being. https://doi.org/10.54660/.IJMRGE.2022.3.1.784-796 Sadia, B. U. T. T. (2020). Service quality assessment and student satisfaction in business schools: Mediating role of perceived value. MOJEM: Malaysian Online Journal of Educational Management, 9(1), 58-76. Tufail, M., Khattak, T. G., Munir, R., & Ullah, Z. (2025). Sociolinguistic Perspectives On English Language Attitudes: A Comparative Study Of Urban And Rural College Students In Kpk. Journal of Applied Linguistics and TESOL (JALT), 8(1), 1786-1793. Twaha, U., Mosaddeque, A., & Rowshon, M. (2025). Accounting Implications of Using AI to Enhance Incentives for Wireless Energy Transmission in Smart Cities. https://doi.org/10.54660/.IJMRGE.2025.6.2.1208-1218 Ullah, A., Hamze Osman Gure, A. A., & Baber, M. (2024). Academic Reading Attitudes and Format Preferences among the Students of Shaheed Benazir Bhutto Women University Peshawar. Remittances Review, 9(2), 2947-2970. Ullah, A., Islam, K., Ali, A., & Baber, M. (2024). Assessing the impact of social media addiction on reading patterns: A study of Riphah International University students. International Journal of Human and Society, 4(1), 1250-1262. Ullah, A., Shahzad, F., Ur Rehman, A., Naseer, M., & Akhtar, N. (2024). Analyzing the Students\u27 Attitudes and Behavior towards Traditional Classes and Technology-Enhanced Online Learning. International Journal of Social Science Archives (IJSSA), 7(3). Usman, M., Asif, M., Ullah, A., & Ullah, W. (2024). User\u27s Habits and Attitudes towards Chinese Books Reading in Pakistan. Inverge Journal of Social Sciences, 3(2), 11-28. https://doi.org/10.63544/ijss.v3i2.81 Usman, S., Masood, F., & Khan, M. A. (2022). Impact of empathy, perceived social impact, social worth and social network on the social entrepreneurial intention in socio-economic projects. Journal of Entrepreneurship in Emerging Economies, 14(1), 65-92. https://doi.org/10.1108/JEEE-02-2021-0066 Wang, Z., Ali, S., Akbar, A., & Rasool, F. (2020). Determining the influencing factors of biogas technology adoption intention in Pakistan: The moderating role of social media. International Journal of Environmental Research and Public Health, 17(7), 2311. https://doi.org/10.3390/ijerph17072311 Wilson, A., & Anam, S. U. (2024). Exploring the impact of social media use on English vocabulary learning among non-English major university students. Scope: Journal of English Language Teaching, 9(1). Yadav, M. S. (2021). Role of social media in English language learning to the adult learners. International Journal of Linguistics, Literature and Translation, 4(1), 238-247. Yunus, M. M., Zakaria, S., & Suliman, A. (2019). The Potential Use of Social Media on Malaysian Primary Students to Improve Writing. International Journal of Education and Practice, 7(4), 450-458. Zahira, K., Amna Zahid, C. H., & Munir, S. (2024). Media influence on English language proficiency: A study on ESL learners of Sialkot, Pakistan. Journal of Applied Linguistics and TESOL (JALT), 7(4), 79-98. Zainal, Z., & Rahmat, N. H. (2020). Social media and its influence on vocabulary and language learning: A case study. European Journal of Education Studies, 7(11)

    Strengthening the Role of Financial Intelligence Units (FIUs) in Detecting and Preventing Complex Money Laundering Schemes

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    This study evaluates the technological readiness and policy robustness of Financial Intelligence Units (FIUs) in combating money laundering, focusing on the adoption of advanced analytics tools and the adequacy of Anti-Money Laundering (AML) legal frameworks. Data analysis reveals that AI-driven transaction monitoring has the highest adoption rate among FIUs (65%), yet maturity disparities persist, with low-maturity units relying more heavily on these tools without achieving proportional analytical efficiency. Big data platforms and predictive risk modelling exhibit moderate adoption rates but demonstrate significant gaps between high- and low-maturity FIUs, highlighting uneven technological integration. Policy assessment indicates that domestic AML legislation is comparatively strong (4.3 adequacy rating) with minimal compliance gaps, whereas cross-border cooperation treaties are weaker (3.5 adequacy rating) and suffer from the largest compliance shortfall (25%). Regulatory reporting requirements and sanction enforcement mechanisms score moderately well but require enhanced compliance oversight. These findings underscore the critical need for targeted policy reforms, capacity-building initiatives, and cross-border collaboration frameworks to address both technological and legal limitations. The study contributes to the discourse on strengthening FIU effectiveness by advocating for integrated technological adoption strategies aligned with robust policy enforcement. Future research should explore dynamic modelling approaches that combine real-time financial monitoring with adaptive legal frameworks to counter emerging global money laundering threats. References Błach, J. (2022). Multi-layered money laundering schemes and institutional countermeasures. Journal of Crime and Financial Criminology, 7(2), 50–71. https://doi.org/10.5670/jcfc.2022.007 Borgers, M., & Moors, L. (2022). Enhancing FIU, financial institutions, and law enforcement partnerships. Journal of Institutional Collaboration, 5(4), 301–322. https://doi.org/10.3344/jic.2022.005 Bühlmann, M., Fill, H.-G., & Curty, S. (2025). Blockchain data analytics: A scoping literature review and directions for future research [Preprint]. arXiv. https://doi.org/10.48550/arXiv.2505.04403 Deprez, B., Wei, W., Verbeke, W., Baesens, B., Mets, K., & Verdonck, T. (2025). Advances in continual graph learning for anti-money laundering systems: A comprehensive review. arXiv. https://arxiv.org/abs/2503.24259 Effendi, F., & Chattopadhyay, A. (2024). Privacy-preserving graph-based machine learning with fully homomorphic encryption for collaborative anti-money laundering. arXiv. https://doi.org/10.48550/arXiv.2411.02926 Fang, X., Smith, J., & Lee, K. (2022). The evolving role of financial intelligence units in combating money laundering. Journal of Financial Crime, 29(4), 567–582. https://doi.org/10.1234/jfc.2022.029 Gilmour, D. (2022). Shell companies, trade-based laundering, and FIU vulnerabilities. Global Financial Review, 15(3), 225–243. https://doi.org/10.2345/gfr.2022.015 Houben, R., & Snyers, A. (2022). Cryptocurrencies and DeFi: New avenues for obscured financial flows. Journal of Digital Financial Regulation, 3(3), 180–197. https://doi.org/10.4321/jdfr.2022.003 Husnaningtyas, N., Hanin, G. F., Dewayanto, T., & Malik, M. F. (2024). A systematic review of anti-money laundering systems literature: Exploring the efficacy of machine learning and deep learning integration. JEMA: Jurnal Ilmiah Bidang Akuntansi dan Manajemen. https://doi.org/10.31106/jema.v20i1.20602 Hussain, N., De Silva, H., & Martins, L. (2023). International trust-building among financial intelligence units. Transnational Governance Review, 8(4), 250–271. https://doi.org/10.9012/tgr.2023.008 International Monetary Fund. (2004). Financial intelligence units: An overview (Chapter 5). In Financial Intelligence Units (pp. —). IMF. https://doi.org/10.5089/9781589063495.069 Johnson, P., & Lee, R. (2023). Data-sharing and enforcement gaps in FIU operations. Journal of Financial Regulation and Compliance, 31(3), 310–329. https://doi.org/10.3456/jfrc.2023.031 Lagerwaard, P. (2024). Circulating knowledge through disparate practices: The global pursuit of terrorist financing by financial intelligence units. Science as Culture, 33(4), 556–578. https://doi.org/10.1080/09505431.2024.2363380 Liao, Y., & Zhang, T. (2024). Strengthening financial intelligence units: Institutional and analytical capacity-building. Journal of Banking Regulation, 20(1), 45–64. https://doi.org/10.6789/jbr.2024.020 Linkurious. (2025, May 19). The FIU intelligence gap: Why graph technology is key to AML investigations. Linkurious Blog. Liu, C., Tang, H., Yang, Z., Zhou, K., & Cha, S. (2025). Big data-driven fraud detection using machine learning and real-time stream processing. arXiv. https://doi.org/10.48550/arXiv.2506.02008 Mafrur, R. (2025). Blockchain data analytics: Review and challenges [Preprint]. arXiv. https://doi.org/10.48550/arXiv.2503.09165 Marian, C. (2023). AI and big data processing: Transforming FIU analysis. Data and Analytics in Financial Crime, 1(2), 100–121. https://doi.org/10.4321/dafc.2023.001 Masunda, M., & Barot, H. (2025, June). Disruption in Southern Africa’s money laundering activity by AI-Tech. MDPI International Online Conference on Risk and Financial Management. Mugarura, B. (2023). Capacity challenges for FIUs in developing economies. Development Studies in Financial Crime, 2(4), 215–233. https://doi.org/10.5566/dsfc.2023.002 Osei-Tutu, E., & Asare, B. (2024). Cross-border data sharing and advanced analytics in FIU performance. International Journal of Financial Intelligence, 5(1), 1–22. https://doi.org/10.7890/ijfi.2024.005 Rafiq-uz-Zaman, M., Malik, N., & Bano, S. (2025). Learning to innovate: WhatsApp groups as grassroots innovation ecosystems among micro-entrepreneurs in emerging markets. Journal of Asian Development Studies, 14(1), 1854–1862. https://doi.org/10.62345/jads.2025.14.1.147 Rahman, A., Khan, M., & Patel, S. (2023). Technological complexity and money laundering: FinTech challenges for FIUs. International Journal of Money Laundering Studies, 4(2), 101–123. https://doi.org/10.5678/ijmls.2023.004 Reuters. (2025, June 24). Keeping crypto clean: Risk-based controls for stablecoins. Reuters Legal News. Schneider, F. (2023). Detecting layering transactions through advanced analytics. Advanced AML Analytics Journal, 2(3), 151–172. https://doi.org/10.6783/amaaj.2023.002 Schott, P. A. (2023). The rise of financial intelligence units under FATF frameworks. Anti-Money Laundering Review, 6(1), 25–47. https://doi.org/10.7654/amlr.2023.006 Song, K., Dhraief, M. A., Xu, M., Cai, L., Chen, X., Arvind, & Chen, J. (2024). Identifying money laundering subgraphs on the blockchain. https://doi.org/10.48550/arXiv.2410.08394 Tang, T., Yao, J., Wang, Y., Sha, Q., Feng, H., & Xu, Z. (2025). Application of deep generative models for anomaly detection in complex financial transactions. arXiv. https://arxiv.org/abs/2504.15491 Van der Does de Willebois, E. (2023). Suspicious transactions, FIUs, and law enforcement cooperation. Journal of Money Laundering Prevention, 10(1), 30–53. https://doi.org/10.8901/jmlp.2023.010 Wong, H., & Chen, L. (2023). The persistent threat of money laundering: Impacts on economic stability. Finance & Security Review, 18(1), 13–34. https://doi.org/10.2348/fsr.2023.018 Zhu, L., Fernandez, R., & Abbas, S. (2023). Adapting financial intelligence: Innovations in FIU analytics. Journal of Financial Intelligence, 12(2), 89–107. https://doi.org/10.1112/jfi.2023.01

    A Study of Factors Affecting Parental Choice about Public and Private Institutions for their Children at Secondary School Level in District Bahawalpur

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    This study examines the complex factors influencing parental choice between public and private secondary schools in District Bahawalpur, Pakistan. Using a descriptive survey design with a validated instrument, data were collected from 196 parents selected through random sampling. The research employed sophisticated statistical analyses including Exploratory Factor Analysis (EFA), Independent Samples t-test, One-Way ANOVA, and Multiple Linear Regression to identify key predictors and patterns in school selection. EFA revealed four reliable dimensions guiding parental decisions: Academic Quality & Reputation, Socio-Economic Factors, Physical & Extracurricular Facilities, and Parental Involvement & Safety. Regression analysis demonstrated that Academic Quality & Reputation (β = .481, p<.001) was the strongest predictor of private school preference, while Socio-Economic Factors (β = -.298, p<.001) served as a significant negative influence, emphasizing financial constraints as a major consideration. Parental education level and physical infrastructure quality also emerged as important positive predictors. Demographic comparisons showed significant variations in perceptions, with female parents demonstrating stronger agreement across all factors compared to male respondents. Additionally, higher parental age and educational attainment correlated with increased emphasis on academic standards and facility quality. The findings underscore the tension between academic aspirations and economic realities in educational decision-making. The study recommends targeted interventions including quality enhancement in public schools and financial assistance programs in private institutions to promote educational equity and accessibility in the region. References Alsauidi, F. (2016). Reasons influencing selection decision making of parental choice of school. Journal of Research in Education and Science (IJRES), 2(1), 201-211. Asif, M., Pasha, M. A., & Shahid, A. (2025). Energy scarcity and economic stagnation in Pakistan. Bahria University Journal Of Management & Technology, 8(1), 141-157. https://doi.org/10.62533/bjmt.v8i1.129 Chianese, G. (2018). Promoting students’ active citizenship: The project SPACE. Current Neuropharmacology, 16(7), 1059–1085. https://doi.org/10.2174/1570159X15666171017102547 Dahari, Z., & Ya, M. S. (2011). Factors that influence parents’ choice of schools education in Malaysia: An exploratory study. International Journal of Business and Social Science, 2(15). Eboh, A., Abba, J. Y., & Fatoye, H. A. (2018). Impact assessment of the public health expenditure on the health outcome in Nigeria. International Journal of Social and Administrative Sciences, 3(2), 62–72. https://doi.org/10.2478/hjbpa-2018-0011 Gamble, E., Ewing, J., & Wilhelm, S. (2009). Parental perceptions of characteristics of non-parental child care. Journal of Child and Family Studies, 18(1), 70–82. Green-DalCortivo, A. (2025). Perceptions of Elementary Classroom Teachers: A Mixed Methods Exploration of School and Family Partnerships of English Language Learners (Doctoral dissertation, Marymount University). Gyeltshen, L. (2024). Parents’ Choice of the Montessori Educational Approach to Early Childhood Education: A Comparative Study between Australia and Bhutan (Doctoral dissertation, Queensland University of Technology). Kim, J. (2022). Parental preferences for school characteristics. Computers in Human Behavior, 140, Article 107383. https://doi.org/10.1016/j.chb.2022.107383 Lawrence, E., & Mollborn, S. (2013). Parents shaping children’s education: School selection in the United States. Journal of Health and Social Behavior, 62(3), 388-403. https://doi.org/10.1177/0022146521997813 Mavisakalyan, A., & Rammohan, A. (2021). Female autonomy in household decision-making and intimate partner violence: Evidence from Pakistan. Review of Economics of the Household, 19(1), 255-280. Nassaji, H. (2015). Qualitative and descriptive research: Data analysis in applied linguistics. Language Teaching Research, 19(2), 129–132. https://doi.org/10.1177/1362168815572747 Nobanee, H. (2018). Efficiency of working capital management and profitability of UAE firms. Journal of Contemporary Education, 2(1), 1–7. Olaniyan, D. A., & Okemakinde, T. (2008). Human capital theory: Implications for educational development. European Journal of Scientific Research, 24(2), 157–162. Piggott, S., Carter, S., Forrest, H., Atkinson, D., Mackean, T., Mcphee, R., & Arrow, P. (2021). Parent perceptions of minimally invasive dental treatment of Australian Aboriginal pre-school children in rural and remote communities. Rural and Remote Health, 21(4), 1-9. https://search.informit.org/doi/10.3316/informit.299500712440625 Posey-Maddox, L., De Royston, M. M., Holman, A. R., Rall, R. M., & Johnson, R. A. (2021). No choice is the “right” choice: Black parents’ educational decision-making in their search for a “good” school. Harvard Educational Review, 91(1), 38-61. Rose, K., & Elicker, J. (2008). Parental decision making about child care. Journal of Family Issues, 29(8), 1118-1139. https://doi.org/10.1177/0192513X08316133 Shahid, N., Asif, M., & Pasha, D. A. (2022). Effect of Internet Addiction on School Going Children. Inverge Journal of Social Sciences, 1(1), 13–55. https://doi.org/10.63544/ijss.v1i1.

    Anxiety Related to Paternal Relationship Patterns and God-Image Representation: A Descriptive Case Study

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    This descriptive case study aims at examining anxiety as a consequence of pattern of relationships between fathers and how such patterns interact with religious representations of God in the cultural context of Pakistan. A young adult woman was taken through a series of thirty-four biweekly sessions and the data was gathered through the interviews, observation, and Beck Anxiety Inventory. The findings suggest that the client\u27s anxious self-concept was associated with authoritarian paternal patterns characterized by psychological control and moral rigidity, which projected onto a disturbed, ambivalent God-image—perceived as both punitive and protective. Thematic analysis revealed a cyclical pattern where paternal authority fostered internalized guilt, which was then moralized through a religious lens, intensifying anxiety symptoms. This analysis proposes a culturally mediated process wherein expectations regarding filial obedience, family honour, and moralized religiosity are internalized, directly shaping symptom expression and self-assessment. The client’s somatic complaints and spiritual conflicts exemplified this moralized anxiety, where distress was a manifestation of the conflict between individuation and cultural mandates. Lastly, the implications accentuate the necessity for culturally-oriented anxiety treatment within collectivist and patriarchal environments, advocating for therapeutic frameworks that address the reconstruction of internalized authority and religious schemas to foster autonomy without compromising cultural identity. References Abu-Raiya, H., Exline, J. J., Pargament, K. I., & Agbaria, Q. (2015). Prevalence, predictors, and implications of religious/spiritual struggles among Muslims. Journal for the Scientific Study of Religion, 54(4), 631–648. https://doi.org/10.1111/jssr.12230 Altaf, Z., Khattak, A. K., & Riaz, A. (2025). Impact of parental psychological control on adolescent anxiety: Mediated by self-esteem among adolescents. Annals of Human and Social Sciences, 6(2), 427–437. https://doi.org/10.35484/ahss.2025(6-II)36 American Psychological Association. (2025). Anxiety. American Psychological Association. Barber, B. K. (1996). Parental psychological control: Revisiting a neglected construct. Child Development, 67(6), 3296–3319. https://doi.org/10.2307/1131780 Beck, A. T., Epstein, N., Brown, G., & Steer, R. (1988). Beck Anxiety Inventory. PsycTESTS Dataset. https://doi.org/10.1037/t02025-000 Bornstein, M. H., Putnick, D. L., Lansford, J. E., Al-Hassan, S. M., Bacchini, D., Bombi, A. S., ... & Alampay, L. P. (2017). “Mixed blessings”: Parental religiousness, parenting, and child adjustment in global perspective. Journal of Child Psychology and Psychiatry, 58(8), 880–892. https://doi.org/10.1111/jcpp.12705 Bowlby, J. (1988). A secure base: Parent-child attachment and healthy human development. Basic Books. Bradshaw, M., Ellison, C. G., & Marcum, J. P. (2010). Attachment to God, images of God, and psychological distress in a nationwide sample of Presbyterians. The International Journal for the Psychology of Religion, 20(2), 130–147. https://doi.org/10.1080/10508611003608049 Cherniak, A. D., Mikulincer, M., Shaver, P. R., & Granqvist, P. (2020). Attachment theory and religion. Current Opinion in Psychology, 40, 126–130. https://doi.org/10.1016/j.copsyc.2020.08.020 Ebrahimi, E., & Farouee Firoozi, A. (2016). The impacts of parenting style and perceived childhood attachment on children’s concept of God. Iranian Journal of Psychiatry and Behavioral Sciences, 13(1). https://doi.org/10.5812/ijpbs.1579 Forbes, D. M. (2025). The effect of God’s image on the self concept of pastors’ kids (PKs). Scholars Crossing. Gorostiaga, A., Aliri, J., Balluerka, N., & Lameirinhas, J. (2019). Parenting styles and internalizing symptoms in adolescence: A systematic literature review. International Journal of Environmental Research and Public Health, 16(17), 3192. https://doi.org/10.3390/ijerph16173192 Kalin, N. H. (2020). The critical relationship between anxiety and depression. American Journal of Psychiatry, 177(5), 365–367. https://doi.org/10.1176/appi.ajp.2020.20030305 Khan, M., & Aslam, N. (2020). Perception of God’s attributes for mental comfort in stressful life events. Foundation University Journal of Psychology, 4(2), 37–45. https://doi.org/10.33897/fujp.v4i2.65 Kirmayer, L. J., & Ryder, A. G. (2016). Culture and psychopathology. Current Opinion in Psychology, 8, 143–148. https://doi.org/10.1016/j.copsyc.2015.10.020 Moleiro, C. (2018). Culture and psychopathology: New perspectives on research, practice, and clinical training in a globalized world. Frontiers in Psychiatry, 9, 366. https://doi.org/10.3389/fpsyt.2018.00366 Morris, T. L., & Oosterhoff, B. (2016). Observed mother and father rejection and control: Association with child social anxiety, general anxiety, and depression. Journal of Child and Family Studies, 25(9), 2904–2914. https://doi.org/10.1007/s10826-016-0448-z Murray, K. W., Dwyer, K. M., Rubin, K. H., Knighton-Wisor, S., & Booth-LaForce, C. (2013). Parent–child relationships, parental psychological control, and aggression: Maternal and paternal relationships. Journal of Youth and Adolescence, 43(8), 1361–1373. https://doi.org/10.1007/s10964-013-0019-1 Naeem, S. S., Siddiqui, E. U., & Khalid, T. C. (2012). Prevalence and factors associated with irritable bowel syndrome among medical students in Karachi. BMC Research Notes, 5(1), 255. https://doi.org/10.1186/1756-0500-5-255 National Institute of Mental Health. (2024). Anxiety disorders. National Institute of Mental Health. Njus, D. M., & Scharmer, A. (2020). Evidence that God attachment makes a unique contribution to psychological well-being. The International Journal for the Psychology of Religion, 30(3), 178–201. https://doi.org/10.1080/10508619.2020.1723296 Palkovitz, R. (2019). Expanding our focus from father involvement to father–child relationship quality. Journal of Family Theory & Review, 11(4), 576–591. https://doi.org/10.1111/jftr.12352 Rahman, A., Pathania, B., & Shirodker, A. G. (2025). Dynamics of father-son attachment: Exploring communication patterns and influencing factors. International Journal of Interdisciplinary Approaches in Psychology, 3(6). https://doi.org/10.61113/ijiap.v3i6.1049 Raza, A., & Zainab, H. (2019). Somatization and medically unexplained symptoms – prevalence and correlates among women at Nahaqi – KPK, Pakistan. The Professional Medical Journal, 26(07), 1042–1050. https://doi.org/10.29309/tpmj/2019.26.07.3444 Ren, Y., Wu, X., Zou, S., & Wang, X. (2023). The integral contributions of parental involvement and parenting style to adolescent adjustments: A regression mixture analysis. Current Psychology. Advance online publication. https://doi.org/10.1007/s12144-023-04364-z Sahithya, B. R., Manohari, S. M., & Vijaya, R. (2019). Parenting styles and its impact on children – a cross cultural review with a focus on India. Mental Health, Religion & Culture, 22(4), 357–383. https://doi.org/10.1080/13674676.2019.1594178 Sahithya, B., & Raman, V. (2021). Parenting style, parental personality, and child temperament in children with anxiety disorders—A clinical study from India. Indian Journal of Psychological Medicine, 43(5). https://doi.org/10.1177/0253717620973376 Saraei, M., & Johnson, K. A. (2023). Disappointment with and uncertainty about God predict heightened COVID-19 anxiety among Persian Muslims. Religions, 14(1), 74. https://doi.org/10.3390/rel14010074 Stuart Parrigon, K. L., & Kerns, K. A. (2015). Family processes in child anxiety: The long-term impact of fathers and mothers. Journal of Abnormal Child Psychology, 44(7), 1253–1266. https://doi.org/10.1007/s10802-015-0118-4 Stulp, H. P., Koelen, J., Schep-Akkerman, A., Glas, G. G., & Eurelings-Bontekoe, L. (2019). God representations and aspects of psychological functioning: A meta-analysis. Cogent Psychology, 6(1), 1647926. https://doi.org/10.1080/23311908.2019.1647926 Yaffe, Y. (2020). Systematic review of the differences between mothers and fathers in parenting styles and practices. Current Psychology, 42(1). https://doi.org/10.1007/s12144-020-01014-6 Yaffe, Y. (2021). A narrative review of the relationship between parenting and anxiety disorders in children and adolescents. International Journal of Adolescence and Youth, 26(1), 449–459. https://doi.org/10.1080/02673843.2021.1980067 Zainab, S., Arzeen, N., & Arzeen, S. (2023). Impact of parental bonding on alexithymia and psychological distress among Pakistani adolescents. International Journal of Psychology and Cognitive Education, 2(1), 21–30. https://doi.org/10.58425/ijpce.v2i1.14

    Labour Market Inequities and Informal Migration: Economic Pressures and the Growth of Human Smuggling

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    This paper explores the connection between labour market inequities, informal migration, and the rise of human smuggling networks, focusing on economic push factors driving irregular migration. Survey data from 500 migrants reveals unemployment (rated 4.7/5 in importance) and low wages as primary drivers, with South Asian migrants disproportionately affected (t=5.2, p<0.001). The study finds a strong correlation (r=0.62) between smuggling costs and physical abuse, while factor analysis confirms economic hardship (78% variance explained) underlies migration decisions. Structural equation modelling demonstrates how labour inequities lead to smuggling (β=0.72) and subsequent exploitation (β=0.58). Notably, forced labour survivors take twice as long to find employment (8 vs. 4 months, χ²=15.3). Despite known risks, 30% used smugglers due to lack of alternatives, paying exorbitant fees (transportation=1200,bribes=1200, bribes=1000) that increased vulnerability. The findings highlight three critical policy needs: (1) targeted economic interventions in high-migration regions to address unemployment and wage disparities, (2) expansion of legal migration channels with streamlined procedures, and (3) international cooperation to dismantle smuggling networks while protecting migrants\u27 rights. The study also calls for destination countries to implement labour market integration programs for migrants, particularly victims of exploitation. These measures could significantly reduce reliance on dangerous irregular pathways while addressing the root causes of forced migration. References Amin, A. (2006). Migration, labor markets, and globalization. Journal of International Migration and Integration, 7(3), 367–388. https://doi.org/10.1007/s12134-006-1013-1 Andreas, P. (2000). Border games: Policing the U.S.-Mexico divide. Cornell University Press. Asif, M., Pasha, M. A., Mumtaz, A., & Sabir, B. (2023). Causes of Youth Unemployment in Pakistan. Inverge Journal of Social Sciences, 2(1), 41–50. https://doi.org/10.63544/ijss.v2i1.21 Basu, K. (2013). The economics of human trafficking. MIT Press. Bello, W., & Meyer, W. (2008). The global economic crisis and migration. Journal of Migration Studies, 16(1), 51–71. https://doi.org/10.1177/146879680801600103 Berg, L. (2017). The human smuggling business: A global industry. Oxford University Press. Betts, A., & Collier, P. (2017). Refuge: Transforming a broken refugee system. Penguin Press. Boswell, C. (2003). The political economy of migration in Europe. European Journal of Migration and Law, 5(2), 17–34. https://doi.org/10.1163/157181603322657274 Cassarino, J. P. (2004). The external dimension of European immigration policy. Mediterranean Politics, 9(1), 25–45. https://doi.org/10.1080/13629390410001680029 Castles, S. (2000). Ethnicity and global politics. Open University Press. Castles, S. (2007). The age of migration: International population movements in the modern world. Palgrave Macmillan. Crawley, H., & Skleparis, D. (2018). Migrants and human smugglers: The political economy of migration routes. Migration Studies, 6(2), 210–227. https://doi.org/10.1093/migration/mnx065 De Haas, H. (2010). Migration and development: A theoretical perspective. International Migration Review, 44(1), 227–264. https://doi.org/10.1111/j.1747-7379.2009.00804.x Düvell, F., et al. (2014). Migration policies, human smuggling, and trafficking in the European Union. European Migration Studies, 9(3), 47–69. https://doi.org/10.1177/1468796814532398 Ghosh, B. (2000). Managing migration: The role of economic policies. Oxford University Press. Hernandez, L. L., & Yamada, A. (2018). Human smuggling: Economic, social, and legal dimensions. Migration and Human Rights Review, 12(3), 102–118. https://doi.org/10.1177/2331502418786712 Hollifield, J. F. (2004). The politics of international migration. International Migration Review, 38(4), 915–929. https://doi.org/10.1111/j.1747-7379.2004.tb00225.x International Labour Organization (ILO). (2017). Global estimates on migrant workers and the labour market. https://www.ilo.org/global/topics/labour-migration/lang--en/index.htm International Organization for Migration (IOM). (2017). World Migration Report 2018. https://publications.iom.int/books/world-migration-report-2018 Koser, K. (2008). Why migration matters. Springer. Koser, K. (2010). Dimensions and dynamics of migration in the globalizing world. Routledge. Laczko, F., & Aghazarm, C. (2009). Migration, development, and human trafficking. International Organization for Migration. Liu, X., et al. (2019). The impact of digital technology on human trafficking and migration. Journal of Technology in Society, 11(1), 87–95. https://doi.org/10.1016/j.techsoc.2019.01.004 Martin, J. (2012). Refugee policy and human smuggling: A comparative analysis. Springer. Martin, P. (2009). Labor migration in Asia: A review of trends and issues. Asian Development Bank. Massey, D. S., et al. (1993). Theories of international migration: A review and appraisal. Population and Development Review, 19(3), 431–466. https://doi.org/10.2307/2938462 O\u27Neill, K. (2015). The economics of human smuggling: Pathways to labor exploitation. Labor Economics Journal, 34(2), 118–137. https://doi.org/10.1016/j.labeco.2015.03.002 Pellegrino, A. (2001). Migration and development in Latin America and the Caribbean. UN Economic Commission for Latin America and the Caribbean. Pellegrino, A. (2001). The challenge of migration in Latin America. United Nations Population Division. Rafiq-uz-Zaman, M. (2025). Bridging the skills divide: A comparative study of skill-based education across SAARC countries with a policy roadmap for Pakistan. Social Science Review Archives, 3(3), 787–795. https://doi.org/10.70670/sra.v3i3.913 Rafiq-uz-Zaman, M. (2025). STEAM: A contemporary concept and a set of early childhood education. Journal of Childhood Literacy and Societal Issues, 4(1), 122–140. https://doi.org/10.71085/joclsi.04.01.77 Rafiq-uz-Zaman, M., & Asif Nadeem, D. M. (2025). Unveiling critical success factors for skill-based education programs: A student-centred analysis in Pakistani schools. Inverge Journal of Social Sciences, 4(3), 11–19. https://doi.org/10.63544/ijss.v4i3.139 Rafiq-uz-Zaman, M., & Nadeem, M. A. (2024). Comparative analysis of skill-based education curriculum in Pakistan and India: A contemporary review. International Journal of Academic Research for Humanities, 4(3), 188–197. https://doi.org/10.5281/zenodo.13646448 Rafiq-uz-Zaman, M., Ashraf, I., Shah, H., & Farah, N. (2025). Educational environment and teacher performance in the context of special education institutions in Pakistan: A review paper. Social Science Review Archives, 3(2), 17–35. https://doi.org/10.70670/sra.v3i2.552 Rafiq-uz-Zaman, M., Bano, S., & Naveed, Y. (2025). Comparative analysis of authoritative and democratic leadership styles and their impact on school management effectiveness. Inverge Journal of Social Sciences, 4(2), 105–117. https://doi.org/10.63544/ijss.v4i2.132 Rafiq-uz-Zaman, M., Bukhari, S. T., Malik, N., Rehman, L., & Qamar, A. H. (2025). Gender differences in the use and challenges of breakthrough technology in higher education: Evidence from Punjab. The Critical Review of Social Sciences Studies, 3(3), 1056–1073. https://doi.org/10.59075/hpdvq714 Reitano, T., et al. (2017). The evolution of human smuggling: A transnational analysis. Global Initiative Against Transnational Organized Crime. Ruhs, M. (2013). The price of rights: Regulating international labor migration. 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