Journal of Primeasia
Integrative Disciplinary Research | Online ISSN 3064-9870 | Print ISSN 3069-4353
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Volume 7 Number 1 2026
REVIEWS (Open Access)
Artificial Intelligence Integration in Modern Systems: A Systematic and Meta Analytic Perspective on Adoption, Impact, and Ethical Challenges
Zamil Uddin 1*
Journal of Primeasia 7 (1) 1-8 https://doi.org/10.25163/primeasia.7110825
Submitted: 18 March 2026 Revised: 02 May 2026 Accepted: 13 May 2026 Published: 15 May 2026
Abstract
The integration of artificial intelligence (AI) into organizational processes has emerged as a transformative driver of operational efficiency, decision-making, and innovation. Leveraging AI technologies, including machine learning, natural language processing, and computer vision, organizations are increasingly able to automate routine tasks, optimize workflows, and enhance strategic decision-making. This systematic review and meta-analysis synthesizes findings from 35 studies, examining the extent, patterns, and outcomes of AI adoption across diverse sectors. The analysis highlights the critical role of top management support, technology readiness, and organizational culture in facilitating successful AI integration. Additionally, it identifies key challenges, such as data privacy concerns, algorithmic bias, and workforce adaptation, which may hinder adoption or diminish performance outcomes. Evidence suggests that organizations that combine AI deployment with complementary digital infrastructure and human expertise achieve greater operational resilience and competitive advantage. Moreover, the study reveals sector-specific variations, with healthcare, manufacturing, and finance exhibiting distinct adoption patterns and performance implications. By consolidating empirical insights and theoretical perspectives, this work provides a comprehensive understanding of AI’s practical and strategic impact, guiding managers, policymakers, and researchers in designing effective AI implementation strategies. The findings underscore the importance of a balanced approach that integrates advanced AI capabilities with ethical, regulatory, and human-centered considerations to ensure sustainable organizational transformation.
Keywords: Artificial intelligence, AI integration, organizational adoption, digital transformation, machine learning, cyber-physical systems, decision-making, technology acceptance.
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