Human-ai collaboration in project management

Abstract

The integration of Artificial Intelligence (AI) into project management has emerged as a transformative trend, promising enhanced efficiency and strategic capabilities. This study explores the dynamics of human-AI collaboration in project management, focusing on factors that influence effective implementation, the impact of AI on project outcomes, and the challenges encountered in AI adoption. Utilizing a qualitative approach, data were collected from project management professionals across various industries, revealing that trust and transparency are crucial for successful collaboration. The findings indicate that AI positively impacts project efficiency and cost-effectiveness by automating routine tasks and optimizing resource allocation. However, challenges such as resistance to change, data privacy concerns, and lack of understanding pose significant barriers. The study integrates Socio-Technical Systems Theory (STS) to frame the discussion, highlighting the importance of ethical AI practices and the need for seamless integration into existing processes. These insights contribute to the broader discourse on AI integration in project management, offering practical implications for enhancing human-AI collaboration. Future research should explore cross-industry AI adoption, longitudinal impacts, and strategies to further optimize the human-AI collaboration dynamic