ASSESSING THE IMPACT OF ADOPTING AI TOOLS ON ENGINEERING PROJECT MANAGEMENT PERFORMANCE

Abstract

The construction industry faces continuous and various challenges related to inefficiencies in project planning, scheduling, and resource allocation, which lead to delays, cost overruns, and low productivity. Despite advancements in digital technologies, many construction firms still deal with traditional management methods that lack real-time data integration and predictive capabilities. With the rapid advancement of artificial intelligence, the construction industry is being influenced. Artificial intelligence improves project efficiency and performance. Although artificial intelligence has recently attracted significant global attention across various sectors, convincing construction companies to adopt AI in their projects depends on several factors, including their awareness and readiness to adopt these technologies. This research will explain the impact of using AI tools in construction projects. The methodological approach applied in this research is mixed methods, using questionnaires and interviews to collect data. The proposed research model was analyzed using SMART PLS (PLS-SEM). The measurement model was assessed in terms of reliability and validity, while the structural model was evaluated by using path coefficients, bootstrapping, coefficient of determination (R²), effect size (f²), and multicollinearity diagnostics, as well as conducting a manual analysis of 7 interviews with different backgrounds and years of experience. According to the model proposed in the research, AI awareness has a small effect on AI adoption, and AI adoption has a strong impact on construction project performance. This study helps managers and engineers working on construction projects to gain practical insights by leveraging AI technologies to improve project outcomes.