The adoption of human resources analytics in construction projects in Jordan: antecedents and consequences

The construction industry is increasingly using analytics tools to enhance decision-making and streamline project execution. However, human resource analytics (HRA) adoption has been slow due to concerns about cost and complexity. Recent studies investigating HRA adoption rely on conceptual models and are in their early stages. To address this gap, this study takes an empirical approach by examining the antecedents and impacts of HRA adoption on project performance in the Jordanian construction industry. A deductive conceptual framework based on technology-organisation-environment (TOE) and resource-based view (RBV) theories is developed, and 198 individuals are surveyed. Using structural equation modelling (PLS-SEM), the study identifies eight factors that significantly impact HRA adoption and shows that adoption leads to significant project performance improvements. The study provides valuable insights into HRA adoption in the construction industry, with implications for human resource management, project performance, and the industry as a whole.