Digital communication plays an integral role in public-sector governance throughout the globe. Its role in improving public trust could rely on citizens' perceptions of the transparency of institutional communication. The study evaluates the relationship between digital communication and public trust in the Karachi Mobility Project (KMP) and the idea of perceived transparency as a mediator. The study relies on a quantitative cross-sectional survey of 200 respondents who knew about KMP, and examines the relationships between digital communication, perceived transparency and public trust using correlation, regression and bootstrapped mediation analysis. Citizens' perceptions are also complemented by an objective content analysis of the official KMP digital communications, which analyses how much transparency-oriented information is visible in the communication relating to a project. The results suggest that digital communication is positively related to perceived transparency and public trust and that perceived transparency makes a significant contribution to the relationship between communication and trust. Additionally, the content audit reveals inconsistencies in the amount of information that is provided on the project, problems, reactions of stakeholders, and grievance information in official communications. The present study also brings an important element to public administration research, putting perceived transparency, a key part of the public administration field, in the center of the discussion on how digital communication processes and their perceived transparency relate to public trust in the governance of infrastructure. The results indicate that public agencies would do well to not only see digital communication as a way to disseminate information or promote products, but as a form of government communication and public accountability, to report progress, recognize difficulties, and create a sense of public accountability.
R. Paper, Masood Ahmed, Nazar Hussain et al.· The social science· 0 citations
The use of generative AI has transformed the planning, drafting, revising, and assessment of English writing in higher education. Although research on the area has expended rapidly, there is remains a lack of a coherent understanding of the fields intellectual structure, publications patterns, key researchers, collaboration networks, and the thematic development. This study examines the evolution of research on AI tools and English writing in higher education and draws inferences for BS English programmes in Pakistani universities. A Scopus-based dataset was filtered based on year, subject-area, document-type, language, publication-stage, and source-type. From the 2,458 records initially identified, 1,034 English-language journal articles published in the Social Sciences at the final publication stage were included for the period 2020-2026. Performance analysis and science mapping were performed using Biblioshiny/bibliometrix and VOSviewer, respectively. The analysis examined annual scientific production and citations; productive sources and authors; locally cited documents; Bradford’s and Lotka’s laws; h-index indicators; country collaboration; keyword co-occurrence; thematic mapping; trend topics; Reference Publication Year Spectroscopy (RPYS); and a logistic model of the publication life cycle. Scientific production increased from 1 article in 2020 to 431 in 2025 and 354 in 2026; however, the 2026 figure should be interpreted with caution because the year may be unfinished. The conceptual structure was dominated by ChatGPT (257 occurrences), artificial intelligence (223 occurrences), generative AI (114 occurrences), and EFL writing (59 occurrences). Arab World English Journal was the most productive source, while Guo K and Wang Y were the most prolific authors. Bradford’s Law analysis displayed that 18 journals accounted for 34.3% of the literature, while Lotka’s Law showed a highly attentive authorship pattern. Thematic and temporal studies revealed a shift from general research on AI tools and chatbots toward generative AI, large language models, and EFL writing. Overall, the field is rising swiftly but remains uneven across methodological and geographical dimensions. The outcomes highlight the importance of curriculum-integrated AI literacy, process-oriented writing assessment, transparent AI-use disclosure, faculty development, and locally grounded empirical research in Pakistani universities.
Research Paper, Tasneem Akhter, Safia Begum et al.· The social science· 0 citations
This paper investigates the relationship between non-renewable energy consumption, globalization and carbon emissions under the Environmental Kuznets Curve (EKC) hypothesis, based on the observations of ASEAN economies between 1990 and 2023, which are unbalanced panel data. A panel cointegration analysis is used to explore the time-series dependence of the variables both in the short-term and in the long-term. The findings indicate the support of the Environmental Kuznets Curve (EKC) hypothesis which implies the energy consumption – carbon emission curve is inverted U-shaped. The results also confirm that the use of non-renewable energy sources also has a positive correlation with environmental pressure. Globalization, however, has not reached all countries similarly and appears to influence countries in different ways depending on the differences in countries' economic development, institutional environment, and environmental policies. Therefore, this study proposes that the move towards Renewable Energy (RE) should be a priority in ASEAN economies, and should be done in an environmentally sustainable way.
R. Paper, Anum Gul, Faraz et al.· The social science· 0 citations
Digital transformation is transforming the way organisations work; however, it is not just about the technology, it's about how people react to it. The human side of digital transformation is explored in this paper as it looks into the impact of human resource management (HRM) practices on employees' adaptability, and subsequently on employee performance. Based on the Ability-Motivation-Opportunity (AMO) framework and technostress theory five hypotheses are formulated relating digital-oriented training and development, digital leadership, organizational support of technostress management, adaptability of employees, organizational agility and employee performance outcomes. The conceptual framework suggests that adaptability of employees as a mediating factor between HRM practices and performance, and organizational agility as a moderating factor between HRM practices and performance. To illustrate the analytical approach, the paper provides the results of a representative survey data (N = 350) that was analyzed using descriptive statistics, correlation, regression, and bootstrapping mediation and moderation analysis. Results suggest that there are significant relationships between digital-oriented HRM practices and employee adaptability, and between employee adaptability and employee performance, with organizational agility enhancing these relationships. The paper ends with theoretical and practical implications for HR professionals in digital change as well as the limitations and directions for future research.
Research Paper, Mashal Tariq, Muhammad Abdullah et al.· The social science· 0 citations
The crossroads of deep learning and corporate governance is a paradigm shift in financial risk analysis, which goes beyond the conventional ratio models and modifies the multifaceted relationship relationships of board organizations and corporate networks. In this article, the authors provide a robust set of predictors of financial distress and fraud based on transformer-based designs of the board network data. We introduce a new methodological framework that combines graph neural networks with attention mechanisms to model director interlocks, committee structures, and measures of governance quality as high-dimensional relational features. The framework employs advanced econometric methods such as difference-in-differences with continuous treatment, propensity score weighting with neural network propensity estimation, and panel VAR with impulse response functions to create a causal identification. Empirical evidence on a decade of board-level data shows that transformer models have better predictive accuracy than conventional methods and that area under the curve (AUC) gains are 12-18 points in predicting financial distress and 22-28 points in predicting fraud. The cognitive interpretability module establishes the board independence, audit committee expertise and the network centrality of directors as the most important determinants of firm resilience. These results indicate that the application of algorithmic governance based on the use of deep learning can improve transparency, reduce agency risks, and give regulators decision-support systems to conduct active risk monitoring.
Research Paper, Muhammad Usman, Malik et al.· The social science· 0 citations
Saadat Hassan Manto is one of the greatest Urdu short story writer of the twentieth century in the Indo Pakistan Sub-continent. Born in the colonial period, his literary pursuits reflect the culture, customs, language and traditions of the prevalent society. Manto has the singular honour of being renowned short story writer of colonial as well as postcolonial period. Homi K. Bhabha is a well-known postcolonial theorist and has extensively dilated his concepts of Mimicry, Ambivalence and Hybridity etc. Manto’s short story Farishta has been analyzed under the lens of theory of Bhabha s Mimicry, Ambivalence and Hybridity thus exploring yet another dimension of Manto;s literary works. This is a new vista of critique from Bhabha theory and bi-lingual analysis which further enhances significance of this short story.
R. Paper, Dr. Freeha Nighat, Ph.D Pak et al.· The social science· 0 citations
This qualitative research focuses on examining how the Khawaja Sira community in Sheikhupura, Pakistan, has evolved linguistically over the years, shifting from the historically used Persian language in Mughal courts to the modern Punjabi street language. The investigation follows this path in a diachronic sense, which anticipates the historical and sociolinguistic movements of the community throughout the years. The study assumes a dual methodological approach, combining semi-structured interviews with twelve respondents from two generations and a critical examination of historical documents, media images, and other primary sources. Through questioning the ideological underpinnings of language and its indexical uses, the research paper aims to explain how language shift forms the identity construction in this marginalized community. Results show that socio-political side-lining, the instability caused by colonialism, post-decolonization linguistic-nationalism, and economic forces all culminated in a notable replacement of Persian and formal Urdu by Punjabi. This change of language is not only a shift in the repertoire but also a historical shift for the Khawaja ″Sira communities, marking their transition from status in the Mughal Empire to marginalization in modern society. Furthermore, these changes are documented and influenced by media images, including films, television dramas, and social media information, which determine the social and cultural positioning of the community. In the final analysis, this study contributes to a larger body of knowledge on how language practices are used as indicators of social status, resistance, and belonging, thus bringing light to the complex interaction between language, power,, and identity in marginalized groups.
Research Paper, Komal Sarfraz, Khān et al.· The social science· 0 citations
Findings indicate that FL-IDS is better at performance compared to Cloud-IDS and traditional ML-IDS, with a high detection rate of 95% and a false-positive rate of 1.8 percent, proving to be highly resilient with secure aggregation and differential privacy.
Woh Xiang Huai, Lin Peng, Sarah Diong Yu Jie, Su-Bo-Yu-Zhang-Liang Yu, Zainab Hana, Tan Min Hong· International Journal of Eme...· 0 citations
A two-tier hybrid IDS that uses a Random Forest model for quick initial detection and a Neural Network for deeper analysis of suspicious traffic is proposed that provides a balanced and efficient solution that overcomes key limitations of existing IDS models and offers a pathway towards a more robust real-time IoT intrusion detection.
Research Paper, Wong Zoey, Yu Watanabe et al.· International Journal of Eme...· 0 citations
With the growing importance of Artificial Intelligence (AI) in academic life, it is increasingly necessary to understand the impact of this technology on research activities, yet the quantitative relationships between the use of these tools and research productivity in university settings have not been sufficiently quantified. This study aimed to examine the frequency of AI tool use and the relationship between this use and attitudes towards AI and research productivity among university students and faculty. A cross-sectional survey was carried out with 220 university respondents (undergraduate students, post-graduate students, and Faculty/researchers) across five disciplines. Data were analyzed with descriptive statistics, independent t-test, one-way ANOVA, Pearson correlation, chi-square test and multiple linear regression. Nearly half (49%) of those who responded reported using it regularly ('often'/'always'), and the most popular category of tools used was general-purpose AI assistants (44.1%). The frequency of the use of AI was positively correlated with productivity (r = .48, p < .001) and attitude (r = .37, p < .001), but there were no significant differences between gender (p = .77) or discipline (p = .62). The results indicated that together, usage frequency and attitude accounted for 30% of the variance in productivity. The two factors, together, explained 30% of the productivity (regression) variance. AI adoption is associated with higher research productivity for the institution across different groups of researchers by various disciplines and demographic groups, supporting the case for investing in structured training for AI literacy by institutions.
Research Paper, Asma Atta, Hafiz Kosar et al.· The social science· 0 citations
The findings reveal that social media usage exacerbates mental health issues such as depression, anxiety, fear of missing out (FOMO), social and financial comparisons, and educating users on healthy social media habits and the early signs of mental health distress is critical.
R. Paper, Ebrahim Timol, Kebashnee Moodley· 0 citations
The study concludes that rule-based approaches remain highly valuable for mission-critical 5G slicing applications and recommends their integration with adaptive techniques to enhance scalability and performance.
R. Paper, Zayyanu Yunusa, Usman Haruna· International Journal of Eme...· 0 citations
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