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Artificial intelligence in project management research: a bibliometric analysis

Author(s)
VUSUMUZI MAPHOSA Information Communication Technology and Services Department, National University of Science and Technology, P.O AC 939, Ascot, Bulawayo, Zimbabwe
MFOWABO MAPHOSA School of Information Technology, Varsity College, Independent Institute of Education, Sandton, South Africa
Abstract
Projects are critical to organizations' success; hence improving project management (PM) is imperative. Artificial intelligence (AI) has revolutionized many disciplines, including PM. Applying AI techniques in PM can lead to more control for the project manager and better management of projects. One of the inherent problems faced in PM is related to human error by the project managers leading to project failure. Project managers use PM software and tools to improve their tasks. In this paper, we demonstrate the application of AI in project management through a bibliometric analysis and keyword analysis to show the state of the art of research on AI in PM in the past decade. We extracted 106 articles from the Web of Science database published between 2012 and 2021 and analyzed the data. VOSviewer provided visual maps revealing research hotspots in the field of AI in the HE knowledge base. Our analysis focuses on publication and citation trends, the geographic distribution of articles, analysis of papers by source in which they were published, h-index analysis, and keyword analysis. Results show that research in AI-based PM is widely distributed geographically, by the publisher, and by discipline or field. Furthermore, research in the corpus in the past decade has centered around four themes. The first theme relates to applying AI techniques to improve accuracy, precision, and prediction in software projects, project management, and development estimation. The second theme focuses on the application and development of AI for decision-making in PM. The third theme highlights the benefits of applying AI in PM, such as dealing with uncertainty, improving efficiency, scheduling, and stakeholder management. The last theme shows how AI manages risks and improves cost management in engineering, procurement, and construction (EPC) projects. This research makes valuable contributions to the corpus by highlighting opportunities, challenges, and future research directions in AI in education. The study highlights its limitations and future research areas.
Publication Details
Page(s) 5000-5012
DOI DOI not available
Published Journal: Journal of Theoretical and Applied Information Technology, Volume: 100, Issue: 16, Year: 2022

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Keywords
Project Management, Artificial Intelligence, machine learning, Bibliometric analysis
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