Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Journal of International Conference Proceedings
Zahania Suhendi Zahra
Unknown Affiliation
Humanities Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
INTEGRATING ARTIFICIAL INTELLIGENCE AND DIGITAL TECHNOLOGY IN CONTEMPORARY PROJECT MANAGEMENT: Evolution of Data-Based Decision-Making Systems Romualdus Turu Putra Maro Djanggo; Adi Maulana Rachman; Zahania Suhendi Zahra
Journal of International Conference Proceedings Vol 9, No 2 (2026): 2026 Vietnam ICPM Proceeding
Publisher : AIBPM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32535/jicp.v9i3.4765

Abstract

ABSTRACTThis study examines the integration of artificial intelligence (AI) and digital technology in contemporary project management practices, focusing on the evolution of data-based decision-making systems. The rapid digital transformation has shifted project management paradigms from traditional approaches toward more adaptive and predictive data-driven models. This article employs a systematic literature review method, analyzing 45 international journal articles published between 2015–2024 from Scopus, Web of Science, and Google Scholar databases. The findings reveal that AI implementation in project management significantly improves cost and schedule estimation accuracy by up to 34%, reduces project delay risk by 28%, and enhances resource allocation efficiency by 41%. Machine learning and predictive analytics prove to be the most critical components in supporting more accurate and real-time decision-making. Nevertheless, the adoption of these technologies still faces challenges including limited digital infrastructure, organizational resistance, and human resource competency gaps. This research contributes a conceptual framework for AI integration in the project lifecycle that can serve as a reference for practitioners and academics. Keywords: Artificial Intelligence (AI), Project Management, Digital Transformation, Data-Driven Decision Making, Machine Learning, Predictive Analytics.
Co-Authors Adi Maulana Rachman Romualdus Turu Putra Maro Djanggo