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All Journal INTERNATIONAL JOURNAL OF ECONOMIC LITERATURE Systematic Literature Review Journal
Noorsidi Aizuddin Mat Noor
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Computer Science & IT Economics, Econometrics & Finance Health Professions Nursing Public Health Social Sciences Other

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FINTECH AND FINANCIAL SERVICES TRANSFORMATION: POTENTIAL AND RISKS Erwin; Noorsidi Aizuddin Mat Noor; Widjanarko; Al-Amin
INTERNATIONAL JOURNAL OF ECONOMIC LITERATURE Vol. 2 No. 8 (2024): August
Publisher : Adisam Publisher

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Abstract

The technological revolution of the last decade has significantly impacted the financial services industry, characterised by the rise of financial technology (fintech). Fintech has promised to increase accessibility of financial services, transactional efficiency and financial inclusion. However, this rapid growth also brings new risks and challenges that are not yet fully understood. The research method used in this study is literature. The results show that fintech has successfully changed the paradigm of financial services, integrating technologies such as AI, machine learning, and big data analytics to deliver faster, cheaper, and more personalised services. This has contributed to financial inclusion in many previously underserved areas. However, significant challenges such as cybersecurity risks, regulatory uncertainty, and operational risks are emerging as side effects of the rapid adoption of fintech. These risks demand serious attention, mitigation, and management from all decision makers in the industry.
Systematic Literature Review : Use of AI Technology for Management Optimization Information Technology Project Febri Adi Prasetya; Fajar Andi; Noorsidi Aizuddin Mat Noor
Systematic Literature Review Journal Vol. 1 No. 1 (2025): Januari: Systematic Literature Review Journal
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/slrj.v1i1.137

Abstract

This research is a Systematic Literature Review (SLR) aimed at analyzing the application of Artificial Intelligence (AI) technology in the management of information technology (IT) projects. This study focuses on identifying the AI technologies employed, the benefits gained, and the challenges faced in implementing these technologies. The study gathers and analyzes literature from various leading databases, including Scopus, IEEE Xplore, and SpringerLink, within the timeframe of 2015–2025. The findings reveal that AI technologies such as machine learning, predictive analytics, and natural language processing play a significant role in improving efficiency, reducing risks, and supporting decision-making in IT project management. However, challenges such as data quality, organizational resistance, and implementation costs remain major obstacles in adopting this technology. This review provides comprehensive insights into trends, benefits, and barriers associated with AI utilization, along with recommendations for more effective implementation in the future.
Co-Authors Al-Amin Erwin Fajar Andi Febri Adi Prasetya Widjanarko