Technology Acceptance and Behavioral Adaptation in Construction Automation: Catalyzing Project Management Efficiency

Abstract

The rapid advancement of automation is reshaping the construction sector, offering measurable improvements in project efficiency, cost-effectiveness, and sustainability. This study assessed the adoption and impact of construction automation technologies in Cebu City, Philippines focusing on perceived benefits, constraints, and industry readiness. A quantitative descriptive–correlational design was employed, surveying 40 construction professionals using validated questionnaires. Data were analyzed using descriptive statistics, weighted means, multiple regression, and analysis of variance (ANOVA). Findings revealed limited adoption, with only 17.5% of respondents implementing automation tools, while 55% had not, and 27.5% remainedundecided. Despite low uptake, more than half reported efficiency gains, particularly in coordination and error reduction, with a mean effectiveness score of 4.041 (highly effective). Regression results showed no significant predictive relationships among Technology Acceptance Model (TAM) constructs, except that perceived ease of use significantly influenced organizational impact (p < 0.01). ANOVA results confirmed that automation improved project management effectiveness, operational efficiency, and procedural outcomes (p < 0.05). However, financial constraints, skill shortages, and regulatory gaps continued to hinder largescaleintegration. The study concludes that comprehensive workforce training, standardized accreditation, and targeted government incentives are essential to accelerate adoption and maximize the long-term benefits of automation in the Philippine construction industry.