The Indian construction industry is characterized by high occupational risk exposure and persistent challenges in ensuring effective safety training transfer from training environments to real-world construction sites. Despite substantial investments in safety training programs, empirical evidence suggests that skill transfer remains inconsistent due to organizational, environmental, and individual-level constraints. This study proposes an integrated Quality Function Deployment (QFD)-based optimization framework to systematically evaluate and prioritize determinants influencing the transfer of safety training skills in construction organizations.
The methodological foundation integrates QFD principles with safety training effectiveness models to translate worker requirements and organizational safety goals into measurable technical attributes. Drawing upon established training transfer theories and safety climate research, the proposed framework identifies critical determinants such as organizational climate, training design quality, individual trainee characteristics, and workplace reinforcement mechanisms. The study synthesizes findings from prior research to construct a structured House of Quality (HoQ) model adapted for safety training contexts.
The analysis highlights that organizational climate and cultural dimensions significantly mediate training transfer effectiveness, while training design and feedback mechanisms function as enabling factors. The study further emphasizes that QFD-based optimization enhances prioritization accuracy in safety interventions, enabling construction firms to allocate resources more efficiently.
The findings contribute to both theoretical and practical domains by extending QFD applications into occupational safety training analytics and offering a decision-support mechanism for improving safety outcomes in high-risk construction environments.

Quality Function Deployment, Safety Training Transfer, Construction Industry, Organizational Climate

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