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Examining the Impact of Digital Bureaucratic Competency and AI-Enabled Decision Support on Public Service Delivery and Administrative Responsiveness Rizwan Ahmed
Contemporary Public Administration Review Vol. 3 No. 1 (2025): Contemporary Public Administration Review (CoPAR)
Publisher : Department of Public Administration, Parahyangan Catholic University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26593/copar.v3i1.9382

Abstract

In today’s digital age, equipping government agencies with the right technology is crucial to boost their overall performance. This paper looks at how digital bureaucratic competency and AI-enabled decision support affect public service quality and responsiveness in Pakistan’s public sector. Information was gathered from 423 staff members via a structured Google Form distributed through convenience sampling. The analytical framework grouped the study variables into four main blocks: digital know-how, AI application, service delivery results, and administrative responsiveness. Factor analysis confirmed the latent constructs, while regression tests measured the links between them. Results show that stronger digital skills and AI-assisted tools noticeably improve the speed and quality of public services, especially when demand is high and change is frequent. The research therefore urges deeper investments in training and AI infrastructure if for improved governance. The findings enrich ongoing debates in public administration and provide concrete guidance for policymakers who wish to build quicker, citizen-focused public services in developing countries.
The Role of Social Protection on Poverty Alleviation Through Targeted Subsidies in the Welfare Sector Rizwan Ahmed
International Journal of Social and Political Sciences Vol. 2 No. 3 (2025): December, 2025
Publisher : Austronesia Akademika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69812/ijsps.v2i3.147

Abstract

Poverty remains a persistent challenge in Pakistan, where structural inequality, social vulnerability, and fiscal constraints continue to limit the effectiveness of welfare interventions. This study examines how social protection contributes to poverty alleviation through targeted subsidies in Pakistan’s welfare sector, with particular attention to the direct effects of social protection and targeted subsidies and the mediating role of subsidies in this relationship. A quantitative explanatory design was employed using purposive sampling. Data were collected through structured questionnaires from 303 respondents drawn from key welfare institutions and beneficiary groups, including BISP, Ehsaas, Zakat, and Bait-ul-Mal programs. The data were analyzed using Structural Equation Modeling with Partial Least Squares (SEM-PLS) to test the hypothesized direct and indirect relationships among social protection, targeted subsidies, and poverty alleviation. The findings show that social protection has a strong positive effect on targeted subsidies and a significant direct effect on poverty alleviation. Targeted subsidies also have a significant positive effect on poverty alleviation and partially mediate the relationship between social protection and poverty alleviation. These results indicate that broad social protection frameworks are more effective when translated into well-targeted subsidy mechanisms. The study concludes that integrated, transparent, and accurately targeted welfare policies can strengthen poverty reduction outcomes and offers practical guidance for policymakers seeking more effective and inclusive social protection systems in developing contexts while improving program delivery, institutional trust, and sustainability of national welfare reforms.