DUAL DIMENSIONS OFARTIFICIAL INTELLIGENCE ADOPTION IN PROJECT MANAGEMENT: EXAMINING OPPORTUNITIES AND CHALLENGES

Abstract

This study examines the dual dimensions of Artificial Intelligence (AI) adoption in project management, focusing on the opportunities it presents and the challenges it introduces. A quantitative research design was utilized, surveying 150 project management professionals from diverse industries, including IT, construction, healthcare, and finance. Data were collected using a structured Likert-scale questionnaire validated through a pilot study. The findings reveal a significant positive correlation between AI adoption and improved project management outcomes, including enhanced efficiency, early risk detection, informed decision-making, and improved team collaboration. Experienced professionals demonstrated a greater propensity for adopting AI tools (r = 0.342, p < 0.001), while industry type moderately influenced perceptions of AI's effectiveness (r = 0.229, p = 0.005). Notable advantages of AI adoption included its ability to identify risks (r = 0.763, p < 0.001) and optimize project portfolios (r = 0.796, p < 0.001). Despite its benefits, the study identifies key challenges hindering AI integration, including limitations in understanding complex human interactions, concerns over data privacy, and reliance on incomplete or biased datasets. These barriers emphasize the importance of addressing sociotechnical factors to ensure sustainable and equitable AI adoption in project management. This study contributes to the growing body of literature by providing empirical insights into the opportunities and challenges of AI adoption in project management.