Journal of Technology Development Management

Journal of Technology Development Management

Identification and Analysis of Artificial Intelligence Applications in Project Management (Case Study: Information Technology Projects)

Document Type : Research Paper

Authors
marzieh Gordan 1
karim ebrahimi 2
majid nili ahmadabadi 1
1 Department of Management, Faculty of Economic and Administrative Sciences, Qom University, Qom, Iran
2 Department of Management, Faculty of Economic and Administrative Sciences, University of Qom, Qom, Iran
10.22104/jtdm.2026.8006.3472
Abstract
Introduction and Objectives: In recent decades, the increasing spread of new technologies, including artificial intelligence, has led to fundamental changes in various organizational and management fields. One of the prominent fields that has been increasingly affected by artificial intelligence is information technology project management. The present study aims to identify and prioritize the applications of artificial intelligence in information technology project management.
Methods: This study attempts to extract the most important areas of AI application in this field, as well as evaluate and classify their importance and feasibility from the perspective of experts. To achieve this goal, a mixed approach was used. In the first stage, theoretical information was extracted from reliable scientific sources using the meta-synthesis method and the main applications of artificial intelligence in project management were identified. Next, to analyze and prioritize these applications, the fuzzy Delphi technique was used to screen the applications and the Mabak method was used to prioritize them. The research philosophy was pragmatic (a combination of interpretive and positivistic approaches), applied orientation, exploratory goal, mixed research logic, and the data collection method was field. The theoretical community included managers,
Keywords
application
Artificial Intelligence
Information Technology Projects
Mabak
Metasynthesis
Subjects
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  • Receive Date 21 November 2025
  • Revise Date 04 August 2026
  • Accept Date 05 August 2026