Inverge Journal of Social Sciences
type: channel
description: The Inverge Journal of Social Sciences (IJSS) is an online, open-access journal with double-blind peer review. Academic essays and research articles/papers are all published in the IJSS. Scholars of any age or from any profession are welcome to submit their scholarly research to the IJSS. In its publications, the IJSS covers all social science disciplines, including but not limited to the following fields: Development Studies Economics Entrepreneurship Education Gender Studies International Relations Management Sciences (Marketing, Finance, HRM, Project Management, Information Management, & others) Media Sciences Political Science Psychology Sustainable Development Goals Sociology IJSS is an online, open-access journal that offers publishing and research services to the academic and business sectors. Double-blind peer review is used to manage articles and papers by the IJSS. Frequency: Quarterly Dr. Muhammad Asif Editor-in-Chief Inverge Journal of Social Sciences (IJSS) ISSN (Online): 2959-4359, ISSN (Print): 3007-2018 Facebook: https://www.facebook.com/InvergeJSS/ Note: Authors are urged to use the IJSS online submission platform to submit their work electronically. Please adhere to the guidelines listed for each step of the online submission procedure. Before submitting, kindly adhere to the Author Guidelines as well.
publisher: Inverge Consultancy (pvt) Ltd
language: en-US
publication name: Inverge Journal of Social Sciences
issn: 3007-2018
copyright: The work is concurrently licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License, which permits others to share the work with an acknowledgement of the authorship and the work's original publication in this journal, while the authors retain copyright and grant the journal the right of first publication.
items: Modal Verb Variation in Pakistani and American English: A Corpus-based Comparative Study
items: Automation, Transparency, and Efficiency in Library Management through Blockchain and IoT Technologies
items: Physician-Patient Interaction Quality as a Predictor of Patient Satisfaction: Examining the Unique Contributions of Communication and Empathy in Pakistani Healthcare
items: AI-Driven Media Evolution: Redefining Journalism and Communication in the Digital Age
items: A Comprehensive Review of High-Impact Educational Research (2021–2025): Trends, Insights, and Emerging Practices
items: Green Finance Intelligence and Sustainable Capital Allocation: Artificial Intelligence Driven ESG Signal Processing and Capital Market Efficiency
items: Public Trust in State Institutions: A Comparative Analysis of the Military, Judiciary, and Parliament in Post-2023 Election Pakistan
items: The Role of Maternal-Fetal Attachment and Psychological Well-being in Infant Neurodevelopment
items: The Impact of Intellectual Capital on Employees' Job Performance: Mediating Mechanism of Organizational Commitment, Attitude and Job Satisfaction
items: A Bibliometric Analysis of Organizational Ambidexterity: Trends, Themes, and Intellectual Structure
items: AI and IoT integration in Green HRM: A Framework for Eco-Friendly Talent Management and Optimization
items: Relationship Between Mindfulness, Emotional Wellbeing and Academic Performance Among University Students
items: Human Trafficking, Organized Crime, and the Evolution of International Criminal Justice Systems
items: From Web2 to Web3: Strategic Transformation of Digital Marketing Using Blockchain Technology
items: The Effects of Facebook Gaming on User Engagement, Attention, and Digital Communication Behaviour

Modal Verb Variation in Pakistani and American English: A Corpus-based Comparative Study
type: item
description: This study explores the use of modal verbs in Pakistani and American English through a corpus-based analysis of data drawn from the Global Web-Based English (GloWbE) corpus. The study examines five modal verbs—must, should, may, might, and would—through a comparative analysis of their semantic, pragmatic, and collocational patterns in the two English varieties. Based on the frequency counts, concordance lines and collocational analysis, the study demonstrates that Pakistani English is more likely to be used in formal registers whereas American English is more conversational. There are also differences in collocational patterns that bear the cultural and practical impacts in both varieties. The findings provide an empirical evidence of regional variation in modal verb usage, contributing to the fields of World Englishes and Corpus Linguistics. Moreover, the study provides pedagogical implications in teaching English language based on the findings of the research, emphasizing the role of contextual and regional sensitivity in teaching and learning modal verbs. The study emphasizes the significance of corpus-based approaches in investigating authentic language use across different varieties of English. References Abdullayev, S. (2024). The pragmatic functions of modal verbs in discourse: A corpus-based study. Journal of New Century Innovations, 50(2), 148–150. Anwar, B. (2012). A sociolinguistic study of Urdu–English code-switching in Pakistan (Doctoral dissertation, Bahauddin Zakariya University, Multan). Anwar, B., & Maryam, S. (2017). The use of stative verbs as progressive in Pakistani English: A corpus-based study. Journal of Research in Social Sciences, 5(2), 121–134. Anwar, B., & Talaat, M. (2011). English in a non-native context: Distinctive features of Pakistani journalistic English. English Language and Literary Forum (ELF), 13(1), 25–42. Anwar, B., Ajmal, M., & Keezhatta, M. S. (2020b). Nativization of grammatical features in Pakistani English. Asian EFL Jou…
creator: Muhammad Dawood
creator: Behzad Anwar
creator: Maria Naureen
rights: Copyright (c) 2026 Muhammad Dawood, Behzad Anwar, Maria Naureen https://creativecommons.org/licenses/by-nc-sa/4.0
license: https://creativecommons.org/licenses/by-nc-sa/4.0
date: 2026-03-03
publication date: 2026-03-03
volume: 5
number: 2
starting page: 1
ending page: 11
doi: 10.63544/ijss.v5i2.237

Automation, Transparency, and Efficiency in Library Management through Blockchain and IoT Technologies
type: item
description: The purpose of this paper is to examine the literature on the applications of Blockchain and the Internet of Things (IoT) and to understand how libraries are engaging with this technology to enable users to feel more involved in the present and to share information about Library resources and services. Based on the existing literature, the fundamental models of Blockchain and its combination with IoT are extracted, documented, and illustrated, focusing on performance, implementation ability, and the layers discussed for both. The findings could also provide an empirical platform for comprehension of the technological and behavioural factors that drive adoption of blockchain and IoT to improve automation of services, transparency in records, and overall workplace efficiencies within libraries. The current study is a valuable addition to the body of library and information science literature in that it merges cutting-edge digital technologies with a widely accepted technology acceptance model, and its findings are of practical interest for librarians, system developers, and policy makers involved in smart library initiatives. The recent applications and current uses of blockchain and IoT in libraries are presented with the hope that they will help build up future work across various sectors. References Almarri, S., & Aljughaiman, A. (2024). Blockchain technology for IoT security and trust: A comprehensive systematic literature review. Sustainability, 16(23), 10177. https://doi.org/10.3390/su162310177 Al Sadawi, A., Hassan, M. S., & Ndiaye, M. (2021). A survey on the integration of blockchain with IoT to enhance performance and eliminate challenges. IEEE Access, 9, 54478–54497. https://doi.org/10.1109/ACCESS.2021.3070869 Asif, M., & Sandhu, M. S. (2023). Social media marketing revolution in Pakistan: A study of its adoption and impact on business performance. Journal of Business Insight and Innovation, 2(2), 67–77. Bansal, A., Arora, D., & Suri, A. (2018). Internet of …
creator: Muhammad Kabir Khan
creator: Farha Zafira Binti Agos Lokman
rights: Copyright (c) 2026 Muhammad Kabir Khan, Farha Zafira Binti Agos Lokman https://creativecommons.org/licenses/by-nc-sa/4.0
license: https://creativecommons.org/licenses/by-nc-sa/4.0
date: 2026-03-04
publication date: 2026-03-04
volume: 5
number: 2
starting page: 12
ending page: 26
doi: 10.63544/ijss.v5i2.238

Physician-Patient Interaction Quality as a Predictor of Patient Satisfaction: Examining the Unique Contributions of Communication and Empathy in Pakistani Healthcare
type: item
description: To examine the associations among patients' perceptions of physician communication, physician empathy, and patient satisfaction in Pakistani hospital settings. A cross-sectional correlational study was conducted in public and private hospitals in Islamabad and Rawalpindi, Pakistan, between December 2024 and February 2025. Using purposive convenience sampling, 280 adult patients from psychiatry (n = 92), dermatology (n = 102), and cardiology (n = 86) completed the Communication Assessment Tool (CAT), the Jefferson Scale of Patient Perceptions of Physician Empathy (JSPPPE), and a 10-item patient satisfaction scale. Pearson correlations assessed bivariate associations. Multiple linear regression tested whether communication and empathy jointly predicted patient satisfaction. One-way ANOVA examined differences in satisfaction across specialties, and independent samples t-tests compared satisfaction by gender and hospital type. Physician communication was strongly correlated with physician empathy (r = .91, p < .001) and patient satisfaction (r = .90, p < .001). Physician empathy was also strongly correlated with patient satisfaction (r = .92, p < .001). In regression analysis, the model was significant, F(2, 277) = 825.47, p < .001, explaining 85.6% of the variance in patient satisfaction (R² = .856; adj. R² = .855). Both physician communication (B = 0.34, SE = 0.04, β = .39, p < .001) and physician empathy (B = 1.06, SE = 0.10, β = .56, p < .001) independently predicted higher patient satisfaction. No significant differences in satisfaction were found across specialties (F(2, 277) = 1.24, p = .29) or by gender (t(278) = 0.87, p = .38). Patients' perceptions of physician communication and empathy are strongly associated with patient satisfaction, and both contribute uniquely to satisfaction ratings. Interventions that strengthen patient-centred communication and empathic engagement may improve patient experience in time-constrained healthcare settings. References Aman-U…
creator: Maham Arshad
creator: Saira Khan
creator: Suleman Ahmad
creator: Amina Afzal
creator: Muhammad Shoaib
creator: Zohaib Hassan
rights: Copyright (c) 2026 Maham Arshad, Saira Khan, Suleman Ahmad, Amina Afzal, Muhammad Shoaib, Zohaib Hassan https://creativecommons.org/licenses/by-nc-sa/4.0
license: https://creativecommons.org/licenses/by-nc-sa/4.0
date: 2026-03-06
publication date: 2026-03-06
volume: 5
number: 2
starting page: 27
ending page: 41
doi: 10.63544/ijss.v5i2.239

AI-Driven Media Evolution: Redefining Journalism and Communication in the Digital Age
type: item
description: Artificial Intelligence (AI) has changed the world of journalism and digital communication at an extremely fast pace. To improve the efficiency of newsrooms, audience engagement, and data-driven production of content, media organizations are increasingly employing AI-driven technologies. Nevertheless, the topic of AI integration into journalism also provokes ethical issues associated with misinformation, algorithmic bias, and professionalism. This research intends to investigate the degree of awareness and application of Artificial Intelligence in media organizations, assess its influence on journalism activities and the quality of communication, address ethical issues related to the implementation of AI, and discuss the perspectives of AI-based technologies in journalism and communication. A survey design was adopted to conduct a quantitative study on a structured questionnaire, which relies on a five-point Likert scale. The survey was conducted among 267 respondents comprising of journalists, media practitioners, academicians and students who participated in media and communication industries. The descriptive statistical methods such as frequency, percentage, mean and standard deviation were used to analyse the data. The results indicate that there is a high awareness and positive attitudes towards AI in journalism. The respondents also found that AI enhances the efficiency of the newsroom and helps with data analysis (M = 4.31) and helps a journalist find trending topics in a short period (M = 4.27). The AI was also seen to improve the speed of news delivery (M = 4.33) and increase the level of engagement with the audience in the digital media setting. Nevertheless, the respondents raised concerns about possible risks that include misinformation (M = 4.30), algorithm bias, and lack of human creativity. Moreover, the respondents placed a strong emphasis on clear regulations and policies governing of AI in journalism (M = 4.35). The paper concludes that AI has emer…
creator: Dr. Huma Tahir
creator: Syed Imran Ali Shah
creator: Hamza Zamir Kiani
creator: Muhammad Zeeshan Zahid
rights: Copyright (c) 2026 Dr. Huma Tahir, Syed Imran Ali Shah, Hamza Zamir Kiani, Muhammad Zeeshan Zahid https://creativecommons.org/licenses/by-nc-sa/4.0
license: https://creativecommons.org/licenses/by-nc-sa/4.0
date: 2026-03-06
publication date: 2026-03-06
volume: 5
number: 2
starting page: 42
ending page: 57
doi: 10.63544/ijss.v5i2.242

A Comprehensive Review of High-Impact Educational Research (2021–2025): Trends, Insights, and Emerging Practices
type: item
description: The literature review is a critical analysis of high-impact educational research published between 2021 and 2025, which identifies the most significant trends, evidence-based practices, and emerging innovations that influence the development of modern education. Pedagogical practices in the post-COVID period have changed to emphasize the effectiveness of student engagement, fair access, and the implementation of technology-based approaches to instruction. Personalized and adaptive learning with the help of digital transformation (artificial intelligence, interactive e-books, and immersive learning environments) has resulted in a measurable student performance and engagement improvement. Problem-Based Learning, Project-Based Learning, and formative assessment remain active learning approaches that support the development of critical thinking and problem-solving skills in a variety of educational settings. These advances notwithstanding, there are still issues such as gaps in teacher training, a lack of resources, and professional development. The new technologies hold the promise of innovation but pose threats to data privacy, algorithmic bias, and digital equity. These challenges cannot be met without systemic support, accountable AI implementation, and a commitment on the part of institutions to inclusive and student-centred learning. This review will summarize the existing literature and outline practical recommendations to be followed by policymakers, teachers, and scholars who want to maximize the learning process and overcome the changing digital environment. References Ajid, S. N., Kusumaningtyas, D., Ratih, K., & Lava, S. (2025). Strategies for Integrating Problem-Based Learning, Teaching Modules, and Formative Assessments to Enhance Learning Outcomes and Critical Thinking Skills. Indonesian Journal on Learning and Advanced Education (IJOLAE), 7(2), 340–357. https://doi.org/10.23917/ijolae.v7i2.8612 Albohamood, A. H., Alqattan, M. S., & Vizcarra, C. P. (2025)…
creator: Dr. Muhammad Rafiq-uz-Zaman
creator: Yi-Huang Shih
rights: Copyright (c) 2026 Dr. Muhammad Rafiq-uz-Zaman, Yi-Huang Shih https://creativecommons.org/licenses/by-nc-sa/4.0
license: https://creativecommons.org/licenses/by-nc-sa/4.0
date: 2026-03-08
publication date: 2026-03-08
volume: 5
number: 2
starting page: 58
ending page: 70
doi: 10.63544/ijss.v5i2.243

Green Finance Intelligence and Sustainable Capital Allocation: Artificial Intelligence Driven ESG Signal Processing and Capital Market Efficiency
type: item
description: The rapid expansion of sustainable investment markets has intensified the need for accurate Environmental, Social, and Governance (ESG) data analysis to support effective capital allocation. However, traditional analytical approaches often struggle to interpret the growing volume of heterogeneous sustainability information, leading to information asymmetry and suboptimal investment outcomes. This study examined the role of artificial intelligence-driven ESG signal processing in enhancing green finance intelligence and improving sustainable capital allocation and capital market efficiency. A quantitative research design was employed, utilizing primary data collected from 312 financial professionals working in banking, asset management, and financial technology sectors. Descriptive statistical analysis revealed strong agreement regarding the importance of AI adoption in sustainable finance, with artificial intelligence adoption recording the highest mean value (M = 4.14, SD = 0.69), followed by green finance intelligence (M = 4.09, SD = 0.68) and ESG signal processing capability (M = 4.07, SD = 0.72). Regression analysis demonstrated that artificial intelligence adoption significantly influenced green finance intelligence (β = 0.41, t = 7.86, p < 0.001), while ESG signal processing capability significantly improved sustainable capital allocation (β = 0.38, t = 6.94, p < 0.001). Additionally, green finance intelligence positively affected capital market efficiency (β = 0.35, t = 6.21, p < 0.001). The findings indicated that artificial intelligence significantly enhances ESG information processing, reduces information asymmetry, and supports data-driven sustainable investment strategies. The study concluded that AI-driven ESG analytics play a crucial role in strengthening sustainable finance ecosystems and improving the efficiency of capital allocation within modern financial markets. References Akash, V., & Kumari, R. (2025). The role of artificial intelligence in prom…
creator: Dr. Syed Shameel Ahmed Quadri
creator: Dr. Mehreen Ansari
creator: Zonaira Akbar
creator: Fahim Ullah Khan
rights: Copyright (c) 2026 Dr. Syed Shameel Ahmed Quadri, Dr. Mehreen Ansari, Zonaira Akbar, Fahim Ullah Khan https://creativecommons.org/licenses/by-nc-sa/4.0
license: https://creativecommons.org/licenses/by-nc-sa/4.0
date: 2026-03-11
publication date: 2026-03-11
volume: 5
number: 2
starting page: 71
ending page: 87
doi: 10.63544/ijss.v5i2.246

Public Trust in State Institutions: A Comparative Analysis of the Military, Judiciary, and Parliament in Post-2023 Election Pakistan
type: item
description: The foundation of democratic stability, institutional legitimacy, and effectiveness of the governance is public trust. In transitional democracies like Pakistan trust on the state institutions is often defined by political turbulence, judicial activism, civil-military relations as well as electoral contestation. The 2023 general elections became the most significant turning point in the history of political direction in Pakistan, which fueled the discussion of the stylistic legitimacy of the institution and trust between citizens. The paper explores the relative trust of the Pakistani population in three major pillars of the Pakistani state the military, judiciary and parliament and determines the socio-political conditions that impact the legitimacy of institutions in the post-election context. The study is based on a cross-sectional quantitative design through the analysis of the survey data of 714 respondents using stratified random sampling of the major urban districts. There was the use of statistical methods such as descriptive analysis, correlation matrices, one-way ANOVA, and multiple regression model to examine predictors of institutional trust. The results indicate that there is a strong trust asymmetry with the military receiving the greatest trust rating followed by the judiciary and the parliament correspondingly having lower trust ratings. The outcome of regression indicates that the perceived institutional performance, political polarization, media exposure, and corruption perception are relevant predictors of trust changes. Notably, the paper determines civic efficacy and democratic commitment as moderator factors that can alleviate distrust of representative institutions. The theoretical contribution to research is the synthesis of the Institutional Trust Theory and the Performance Legitimacy Frameworks, which shows that citizens are becoming more perceptive in the outcomes-based criterion instead of constitutional mandates alone when assessing inst…
creator: Madiha Bashir
creator: Sami Ullah
rights: Copyright (c) 2026 Madiha Bashir, Sami Ullah https://creativecommons.org/licenses/by-nc-sa/4.0
license: https://creativecommons.org/licenses/by-nc-sa/4.0
date: 2026-03-14
publication date: 2026-03-14
volume: 5
number: 2
starting page: 88
ending page: 100
doi: 10.63544/ijss.v5i2.248

The Role of Maternal-Fetal Attachment and Psychological Well-being in Infant Neurodevelopment
type: item
description: This study examines the relationship between maternal psychological distress during the perinatal period, maternal-fetal attachment, and subsequent neurodevelopmental outcomes in infants. The historical reverence for motherhood in Azerbaijan faces contemporary challenges as limited awareness leaves expectant mothers vulnerable to psychological hardships during the perinatal period. The intrauterine environment is influenced not only by maternal nutrition but also by maternal emotional states, with implications for fetal neurodevelopment. A cross-sectional correlational study was conducted with 276 mothers of children diagnosed with various neurodevelopmental conditions, including Cerebral Palsy, Autism Spectrum Disorder, Down Syndrome, and Developmental Delay. Participants completed retrospective assessments of prenatal psychological distress, maternal-fetal attachment behaviours, and provided demographic and clinical information. Results of the 276 participants, 140 (50.7%) reported significant psychological distress during gestation. A statistically significant association was identified between prenatal distress and child's diagnostic category (χ² = 14.27, df = 5, p = .014). Mothers of children with Autism Spectrum Disorder reported the highest rates of prenatal distress (68.4%). Significant inverse relationships were observed between prenatal distress and maternal-fetal attachment behaviours, including emotional closeness to the fetus (r = -.42, p < .001). Findings demonstrate a significant correlation between maternal psychological distress during pregnancy and subsequent neurodevelopmental challenges in offspring. The results underscore the need for perinatal mental health screening and culturally appropriate intervention programs in Azerbaijan. References Ainsworth, M. D. S., Blehar, M. C., Waters, E., & Wall, S. (1978). Patterns of attachment: A psychological study of the strange situation. Lawrence Erlbaum. Asif, M. (2021). Contingent effect of conflict man…
creator: Sayali Khanim Hajisoy Vidadi
rights: Copyright (c) 2026 Sayali Khanim Hajisoy Vidadi https://creativecommons.org/licenses/by-nc-sa/4.0
license: https://creativecommons.org/licenses/by-nc-sa/4.0
date: 2026-03-17
publication date: 2026-03-17
volume: 5
number: 2
starting page: 101
ending page: 120
doi: 10.63544/ijss.v5i2.250

The Impact of Intellectual Capital on Employees' Job Performance: Mediating Mechanism of Organizational Commitment, Attitude and Job Satisfaction
type: item
description: This study aims to examine the influence of intellectual capital on job performance within the education sector in Lahore, Pakistan, with a specific focus on the mediating roles of organizational commitment, attitude, and job satisfaction. While extensive research has explored the direct relationship between intellectual capital and organizational performance in corporate and industrial settings, limited attention has been given to the mediating mechanisms that explain this relationship within the education sector, particularly in developing countries such as Pakistan. Prior studies have often overlooked the simultaneous mediating effects of job satisfaction, organizational commitment, and attitude in the intellectual capital–job performance nexus. This study addresses this gap by offering a comprehensive framework that examines these underexplored mediating pathways within the context of higher education institutions in Lahore. A quantitative research design was employed using a cross-sectional approach. Data were collected through a structured questionnaire comprising 29 items from 420 academic staff members across various business institutes in Lahore. A purposive sampling technique was adopted to select the respondents. The collected data were analysed using ADANCO software to test the proposed hypotheses. The results indicate that out of ten hypotheses, nine were supported, demonstrating significant relationships, while one hypothesis yielded insignificant results. Specifically, intellectual capital was found to have a positive impact on job satisfaction, organizational commitment, and attitude. Furthermore, the relationship between intellectual capital and job performance was significantly mediated by job satisfaction, attitude, and organizational commitment. This study offers valuable insights for the education sector by enhancing the understanding of the key components of intellectual capital and their effective implementation in improving job performance. T…
creator: Dr. Saeeda Mirza
creator: Dr. Sadia Butt
creator: Dr. Qurat ul Ain Ahmed
creator: Dr. Mehreen Riaz
creator: Dr. Alia Manzoor
rights: Copyright (c) 2026 Dr. Saeeda Mirza, Dr. Sadia Butt , Dr. Qurat ul Ain Ahmed, Dr. Mehreen Riaz , Dr. Alia Manzoor https://creativecommons.org/licenses/by-nc-sa/4.0
license: https://creativecommons.org/licenses/by-nc-sa/4.0
date: 2026-03-20
publication date: 2026-03-20
volume: 5
number: 2
starting page: 121
ending page: 142
doi: 10.63544/ijss.v5i2.251

A Bibliometric Analysis of Organizational Ambidexterity: Trends, Themes, and Intellectual Structure
type: item
description: The paper examines the dynamics of organizational ambidexterity through a bibliometrics trend over a period of more than five decades (1974 to 2025). Based on a sample of 3,678 academic publications published in 963 journals, the study will analyse the development of publications, the contribution of various countries, institutional affiliation, and citation styles to reveal the changing intellectual framework in the discipline. At a rate of 11.06 per annum with the co-authorship ratio on the international level rising to 32.38, the results reveal the growth of the ambidexterity research as well as its globalization. Using bibliometric mapping and citation analysis, the study addresses three core research questions: (1) how has global scientific production on ambidexterity evolved over time? (2) Which countries, institutions, and journals have contributed most significantly to advancing the field? (3) What are the intellectual and citation patterns that shape the theoretical and practical discourse on ambidexterity? Findings indicate that USA and China lead in terms of publication volume whereas other countries such as Switzerland and the Netherlands have a disproportionate impact in terms of citation. Besides, the university of Alicante and university of science and technology of China become the most dominating affiliations with knowledge-based systems and journal of business research being the most powerful publication outlets. The research study has a contribution to the literature by bridging a gap in the research on mapping the global trend of ambidexterity research in a systematic manner and establishing the emerging trends. Combining the aspects of productivity, collaboration, and citation impact, it brings to the fore the interaction between the already-existing foundations and the streams of inquiry that are emerging. The results are important to the scholars, practitioners, and policymakers to learn not just the direction that the ambidexterity research h…
creator: Hina Shoukat
creator: Dr. Farida Faisal
creator: Dr. Sidra Akhtar
creator: Prof. Dr. Muhammad Hanif
rights: Copyright (c) 2026 Hina Shoukat, Dr. Farida Faisal, Dr. Sidra Akhtar, Prof. Dr. Muhammad Hanif https://creativecommons.org/licenses/by-nc-sa/4.0
license: https://creativecommons.org/licenses/by-nc-sa/4.0
date: 2026-03-20
publication date: 2026-03-20
volume: 5
number: 2
starting page: 143
ending page: 165
doi: 10.63544/ijss.v5i2.252

AI and IoT integration in Green HRM: A Framework for Eco-Friendly Talent Management and Optimization
type: item
description: This study examined the integration of Artificial Intelligence (AI) and the Internet of Things (IoT) within Green Human Resource Management (GHRM) to develop a comprehensive framework for eco-friendly talent management and organizational optimization. The research adopted a qualitative and conceptual approach, systematically synthesizing recent literature to explore how AI-driven analytics and IoT-enabled systems enhance sustainable HR practices. Thematic analysis was employed to identify key dimensions, including green recruitment, digital training, performance management, employee engagement, and environmental monitoring. The findings indicated that AI significantly improves HR efficiency through automation, predictive analytics, and data-driven decision-making, enabling paperless recruitment, personalized e-learning, and objective performance evaluation. Concurrently, IoT facilitates real-time monitoring of workplace environments, energy consumption, and resource utilization, enhancing transparency and accountability. The integration of these technologies, termed AIoT, creates a synergistic effect that significantly enhances green recruitment, intelligent training, sustainable performance management, and employee engagement. This synergy enables organizations to optimize resource allocation, promote pro-environmental behaviour among employees, and achieve long-term environmental and operational goals. However, the study identified critical barriers to effective adoption, including technological complexity, data privacy concerns, high implementation costs, skill gaps, and organizational resistance. The study proposed a structured conceptual framework integrating AI and IoT into GHRM practices, offering practical insights for organizations and policymakers. It concluded that AI-IoT-driven GHRM represents a transformative approach to achieving sustainability and efficiency in modern organizations, contributing to the existing literature by bridging the gap between t…
creator: Rehan Ali Khan
creator: Ali Abbas
creator: Noor Saba
creator: Muhammad Irfan Syed
creator: Adeel Ansari
rights: Copyright (c) 2026 Rehan Ali Khan, Ali Abbas, Noor Saba, Muhammad Irfan Syed, Adeel Ansari https://creativecommons.org/licenses/by-nc-sa/4.0
license: https://creativecommons.org/licenses/by-nc-sa/4.0
date: 2026-03-29
publication date: 2026-03-29
volume: 5
number: 2
starting page: 166
ending page: 182
doi: 10.63544/ijss.v5i2.255

Relationship Between Mindfulness, Emotional Wellbeing and Academic Performance Among University Students
type: item
description: Mindfulness and emotional wellbeing have been independently associated with positive student outcomes; however, empirical evidence regarding their combined influence on academic performance remains limited, particularly within developing educational contexts. This study investigated the relationships between mindfulness, emotional wellbeing, and academic performance among university students in Pakistan, addressing a critical gap in the existing literature. A correlational quantitative research design was employed, with a sample of 150 undergraduate students drawn from The Islamia University of Bahawalpur and Government Sadiq College for Women University Bahawalpur using stratified random sampling to ensure representation across academic programs and years of study. Data were collected using three standardized instruments: the Mindful Attention Awareness Scale (MAAS) to assess mindfulness, the Warwick-Edinburgh Mental Wellbeing Scale (WEMWBS) to measure emotional wellbeing, and self-reported cumulative GPA as an indicator of academic performance. Analyses were conducted using SPSS version 26, incorporating descriptive statistics, Pearson correlation, multiple regression, and mediation analysis with bootstrapping to test the hypothesized relationships. Findings revealed significant positive correlations between mindfulness and emotional wellbeing (r = 0.62, p < 0.001), mindfulness and academic performance (r = 0.54, p < 0.001), and emotional wellbeing and academic performance (r = 0.57, p < 0.001). Multiple regression analysis demonstrated that mindfulness and emotional wellbeing jointly predicted academic performance, accounting for 42% of the variance in GPA. Furthermore, mediation analysis confirmed that emotional wellbeing partially mediated the relationship between mindfulness and academic performance, indicating that mindfulness influences academic outcomes both directly and indirectly through enhanced emotional health. These findings underscore the critical ro…
creator: Sidra Farooq
creator: Nosheen Malik
rights: Copyright (c) 2026 Sidra Farooq, Nosheen Malik https://creativecommons.org/licenses/by-nc-sa/4.0
license: https://creativecommons.org/licenses/by-nc-sa/4.0
date: 2026-03-29
publication date: 2026-03-29
volume: 5
number: 2
starting page: 183
ending page: 198
doi: 10.63544/ijss.v5i2.258

Human Trafficking, Organized Crime, and the Evolution of International Criminal Justice Systems
type: item
description: Human trafficking had emerged as a significant form of transnational organized crime, posing serious challenges to international criminal justice systems and global human rights frameworks. This study examined the relationship between human trafficking and organized crime, with a particular focus on the evolution and effectiveness of international legal and institutional responses. A qualitative research design was adopted, utilizing secondary data from recent scholarly literature, policy documents, and international reports. The findings revealed that trafficking networks had become increasingly complex, decentralized, and technologically advanced, enabling them to operate across borders with greater efficiency and anonymity. Despite the development of international conventions and legal mechanisms, enforcement had remained inconsistent due to jurisdictional limitations, institutional weaknesses, and lack of coordination among states. Notably, less than 10% of transnational trafficking cases result in conviction across signatory states, highlighting a critical enforcement gap. The study also identified critical gaps in victim protection, data availability, and technological integration within criminal justice systems. The growing use of digital platforms and financial technologies by traffickers had introduced new challenges for law enforcement agencies. The study concluded that existing responses were insufficient to address the evolving nature of trafficking and emphasized the need for integrated, technology-driven, and victim-centred approaches. Due to reliance on secondary data, causal claims are limited. It recommended strengthening international cooperation, enhancing institutional capacity, and addressing socio-economic vulnerabilities to effectively combat human trafficking. The research contributed to the broader understanding of transnational crime and provided practical implications for policymakers and practitioners. References Anguita-Olmedo, C. (2025)…
creator: Waseem Saif
creator: Nasir Khan
rights: Copyright (c) 2026 Waseem Saif, Nasir Khan https://creativecommons.org/licenses/by-nc-sa/4.0
license: https://creativecommons.org/licenses/by-nc-sa/4.0
date: 2026-03-29
publication date: 2026-03-29
volume: 5
number: 2
starting page: 199
ending page: 212
doi: 10.63544/ijss.v5i2.259

From Web2 to Web3: Strategic Transformation of Digital Marketing Using Blockchain Technology
type: item
description: This study aimed to examine the role of blockchain technology in transforming digital marketing within the emerging Web3 environment, with a specific focus on its impact on consumer trust and marketing efficiency. The research primarily investigated the relationship between blockchain technology as the independent variable and digital marketing transformation as the dependent variable, while also considering consumer trust and marketing efficiency as key outcome variables. A quantitative research design was adopted, and data were collected from 250 respondents, including digital platform users and marketing professionals, using a structured questionnaire based on a 5-point Likert scale. Statistical analyses, including reliability, correlation, and regression, were conducted to test the proposed hypotheses and evaluate the relationships among variables. The findings revealed that blockchain technology had a significant positive impact on digital marketing transformation (β = 0.68, p < 0.001) and consumer trust (β = 0.72, p < 0.001). Digital marketing transformation significantly influenced marketing efficiency (β = 0.70, p < 0.001). The results also indicated that consumer trust played a mediating role in enhancing marketing efficiency, highlighting the importance of transparency and data security in digital environments. The study provides practical implications for organizations by emphasizing the adoption of blockchain-based marketing systems to improve transparency, reduce operational inefficiencies, and strengthen consumer trust. It also highlights the strategic importance of decentralized platforms in shaping the future of digital marketing. References Basal, M., & Şarkbay, Ö. F. (2026). Web3-driven digital marketing and consumer protection. Frontiers in Blockchain. https://doi.org/10.3389/fbloc.2026.1726047 Beck, R., Müller-Bloch, C., & King, J. L. (2018). Governance in the blockchain economy. Journal of the Association for Information Systems, 19(10), 1020–10…
creator: Fuwad Yunus
creator: Sanya Shahid
creator: Abdul Sattar
rights: Copyright (c) 2026 Fuwad Yunus, Sanya Shahid, Abdul Sattar https://creativecommons.org/licenses/by-nc-sa/4.0
license: https://creativecommons.org/licenses/by-nc-sa/4.0
date: 2026-03-29
publication date: 2026-03-29
volume: 5
number: 2
starting page: 213
ending page: 225
doi: 10.63544/ijss.v5i2.260

The Effects of Facebook Gaming on User Engagement, Attention, and Digital Communication Behaviour
type: item
description: This study examined the effects of Facebook Gaming on user engagement, attention, and digital communication behaviour. A quantitative design was adopted, and data were collected from 300 active Facebook Gaming users using a structured questionnaire. Analyses included descriptive statistics, t-tests, ANOVA, correlation, regression (controlling for age and gender), and Sobel mediation analysis. Facebook Gaming significantly increased user engagement (M = 3.95, t(299) = 22.87, p < 0.001), with usage time as the strongest predictor (β = 0.52, p < 0.001, Adjusted R² = 0.41). The platform negatively affected attention (M = 3.10, β = -0.39, p < 0.001), with younger users (18–25 years) reporting lower attention spans than older users (46+ years), F(3, 296) = 4.92, p = 0.002. Digital communication behaviour was positively influenced (M = 3.85, β = 0.44, p < 0.001), indicating a shift toward rapid, informal communication, particularly among younger users, F(3, 296) = 5.34, p = 0.001. Correlation analysis revealed that user engagement was positively associated with digital communication behaviour (r = 0.578, p < 0.01) and negatively associated with attention (r = -0.422, p < 0.01). Daily usage time was positively correlated with engagement (r = 0.512, p < 0.01) and communication (r = 0.443, p < 0.01) but negatively correlated with attention (r = -0.389, p < 0.01). Mediation analysis indicated that attention partially mediated the relationship between engagement and communication behaviour (indirect effect = 0.152, z = 4.90, p < 0.001), accounting for 25.5% of the total effect. The results highlight that while Facebook Gaming enhances interaction and social connectivity, it also reduces attention span and alters communication practices, with younger users being more susceptible. The study provides implications for platform developers, content creators, and researchers to optimize user experience while addressing cognitive and behavioural challenges. References Ben Fredj, S., Ou…
creator: Waqar Ahmad
creator: Ali Hassan
creator: Muhammad Usman Aslam
rights: Copyright (c) 2026 Waqar Ahmad, Ali Hassan, Muhammad Usman Aslam https://creativecommons.org/licenses/by-nc-sa/4.0
license: https://creativecommons.org/licenses/by-nc-sa/4.0
date: 2026-03-29
publication date: 2026-03-29
volume: 5
number: 2
starting page: 226
ending page: 241
doi: 10.63544/ijss.v5i2.261