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All Journal Jurnal Ilmiah Dinamika Sosial TIERS Information Technology Journal International Journal on Advanced Technology, Engineering, and Information System (IJATEIS)
Mohammadi, Mohammad Qias
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Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Industrial & Manufacturing Engineering Social Sciences

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The Integration of Artificial Intelligence in Project Management: A Systematic Literature Review of Emerging Trends and Challenges Hashimzai, Irshad Ahmed; Mohammadi, Mohammad Qias
TIERS Information Technology Journal Vol. 5 No. 2 (2024)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38043/tiers.v5i2.5963

Abstract

The integration of Artificial Intelligence (AI) in project management has emerged as a transformative approach, revolutionizing traditional practices by enhancing efficiency, decision-making, and risk management. Despite its potential, organizations face significant challenges, including high implementation costs, concerns over data privacy, and resistance to change, which hinder effective adoption. The purpose of this study is to explore emerging trends, key applications, and challenges of AI in project management, while also evaluating its impact on improving risk management, resource allocation, and decision-making in complex projects. The study employs a systematic literature review (SLR) methodology, adhering to the PRISMA protocol, to analyze peer-reviewed articles from MDPI, IEEE, Science Direct, and Emerald databases, published between 2018 and 2024. Keywords combined with Boolean operators were used to filter relevant studies, ensuring a balanced and focused selection of high-quality publications. The results reveal AI's capacity to proactively identify risks, adapt to dynamic project environments, and optimize resource allocation, ultimately enhancing decision-making efficiency and project outcomes. However, challenges such as implementation costs and resistance to organizational change remain critical barriers. The implications suggest that while AI significantly enhances project management, addressing these challenges is essential for broader adoption and scalability. This research concludes that AI is a game-changer in project management, offering insights into emerging trends and critical challenges. Future research should focus on developing scalable, cost-effective AI solutions to overcome adoption barriers, thereby extending the benefits of AI integration across diverse industries.
Blockchain Integration in Information Systems: A Systematic Review of Security, Efficiency, and Adoption Barriers Mohammadi, Mohammad Qias; Kohistani, Ahmad Jaamay; Ghafori, Agha Mohammad; Fazil, Abdul Wajid
INTERNATIONAL JOURNAL ON ADVANCED TECHNOLOGY, ENGINEERING, AND INFORMATION SYSTEM Vol. 4 No. 2 (2025): MAY
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/ijateis.v4i2.1682

Abstract

Blockchain technology has emerged as a transformative innovation in information systems, offering enhanced security, efficiency, and transparency. However, its adoption faces multiple barriers, including technical, organizational, and regulatory challenges. This study aims to systematically review the integration of blockchain technology in information systems, analyzing its security enhancements, adoption barriers, and efficiency improvements. A systematic literature review was conducted using scholarly databases, including IEEE Xplore, Scopus, Web of Science, and Springer, covering studies published between 2019 and 2024. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology was applied to screen and select relevant studies. The findings indicate that blockchain significantly improves security features in information systems. For example, one study showed that blockchain’s cryptographic mechanisms reduced fraud rates by 30% in healthcare transactions (Aboagye et al., 2023). Additionally, blockchain’s decentralization decreased system vulnerabilities by 25% in financial applications. However, key barriers such as high implementation costs, regulatory uncertainties, and scalability issues hinder widespread adoption. Moreover, blockchain enhances efficiency by reducing transaction times by up to 40% and improving data integrity. Blockchain technology holds immense potential for securing and optimizing information systems. Overcoming adoption barriers through standardized regulations, technological advancements, and organizational readiness is crucial for its widespread implementation. Future research should explore scalability solutions and real-world applications to enhance blockchain integration in various sectors.
AI IN CYBER DEFENSE: PRIVACY RISKS, PUBLIC TRUST, AND POLICY CHALLENGES Azizi, Abdullah; Mohammadi, Mohammad Qias; Samadzai, Abdul Wahid
Jurnal Ilmiah Dinamika Sosial Vol 9 No 1 (2025)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38043/jids.v9i1.6278

Abstract

The rapid integration of Artificial Intelligence (AI) into cybersecurity systems, particularly AI-based cyber defense systems, is reshaping the landscape of digital security. This study explores the social impacts of these systems, focusing on privacy, security, and public trust. The purpose of this research is to examine the effects of AI-driven cybersecurity on individuals and society, addressing concerns such as privacy risks, security breaches, and trust in digital platforms. A systematic literature review (SLR) methodology was employed, synthesizing relevant academic studies, conference proceedings, and reports from credible databases, including IEEE Xplore, ACM Digital Library, and ScienceDirect. The results reveal that while AI-based systems improve threat detection and response times, they also raise significant concerns about data privacy, surveillance, and the potential for algorithmic bias. Additionally, the integration of AI in cyber defense has prompted debates on the ethical implications of automated decision-making and the transparency of these systems. In conclusion, while AI offers transformative benefits in cybersecurity, careful attention is required to balance its advantages with ethical and privacy considerations. This study emphasizes the need for ethical frameworks and public awareness to ensure that AI-based systems are deployed in a manner that fosters trust and protects citizens' rights.
Co-Authors Azizi, Abdullah Fazil, Abdul Wajid Ghafori, Agha Mohammad Hashimzai, Irshad Ahmed Kohistani, Ahmad Jaamay Samadzai, Abdul Wahid