As artificial intelligence becomes increasingly integrated into organizational operations and decision-making processes, the importance of robust data governance has intensified significantly. This review examines the evolution of data governance frameworks...
The rapid expansion of web-based platforms, digital services, and data-driven applications has significantly increased the complexity of governing online ecosystems. AI-Enabled Policy-Driven Web Governance represents an advanced governance paradigm that...
The rapid growth of Large Language Models (LLMs) has transformed multiple sectors, including healthcare, finance, cybersecurity, education, and supply chain management. As AI systems become increasingly integrated into critical decision-making processes,...
Smart cities and sustainable infrastructure increasingly rely on artificial intelligence, connected sensors, digital twins, and automated decision systems. These technologies can improve energy efficiency, maintenance, mobility, and service delivery, but...
The rapid advancement of large language models (LLMs) such as GPT and BERT has revolutionized multiple industries, including healthcare, finance, supply chain management, and cybersecurity. While these models demonstrate remarkable capabilities in natural...
In January 2023, the National Institute of Standards and Technology released the AI Risk Management Framework (NIST AI RMF), a voluntary, sector-agnostic framework organised around four core functions, Govern, Map, Measure, and Manage, developed through a...
Artificial intelligence governance often fails at the point where broad principles must be converted into decisions about controls, approvals, monitoring, and evidence. A single checklist cannot govern every system because the consequences of AI vary...
Public administration relies on high-quality data for policy development, service delivery, regulatory oversight, and accountability. However, government agencies face persistent data quality challenges that compromise their effectiveness and erode public...
Organizations must obtain insights into often fragmented and isolated data assets and eliminate data silos to properly leverage data as a strategic resource. Data catalogs are an increasingly preferred approach for achieving these objectives. Despite the...
The swift advancement of Artificial Intelligence (AI) has necessitated the generation of novel opportunities and efficiency across several sectors. Simultaneously, the dependence on AI for personal data throughout its training process encompasses several...
Small and medium enterprises face unique data quality challenges that distinguish them from larger organizations. Limited resources, technical capabilities, and specialized expertise constrain the ability of SMEs to implement comprehensive data quality...
Customer Relationship Management systems have become essential tools for organizations seeking to understand, engage, and retain customers in increasingly competitive markets. However, the effectiveness of CRM systems depends fundamentally on the quality of...
Enterprise Resource Planning (ERP) systems have become essential for higher education institutions (HEIs), facilitating centralized management of academic and administrative functions. As HEIs face increasing operational complexities, ERP solutions...
Various organizations are progressively transitioning to distributed clouds, and as a result, traditional tightly connected architectures are encountering difficulties in providing the scalability, robustness, and responsiveness necessary to support current...
This paper introduces an enhanced, risk-aware software design framework tailored for Internet of Things (IoT) applications, emphasizing the integration of region-specific compliance mandates directly into the development lifecycle. The proposed framework...
The emergence of generative artificial intelligence (AI) technologies signifies a transformative period in industrial innovation, providing unparalleled abilities for content generation, predictive analytics, and automation. This paper explores the...
Introduction The Metascience (An International Multidisciplinary Research Journal) is a double-blind, peer-reviewed, open-access...
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