ACHIEVING ZERO ACCIDENTS THROUGH THE CREATION OF A CONDUCIVE ORGANIZATIONAL CLIMATE IN THE IMPLEMENTATION OF NATIONAL STRATEGIC PROJECTS (PSN): A CASE STUDY AT PT INDONESIA POMALAA INDUSTRI PARK (IPIP), KOLAKA REGENCY, SOUTHEAST SULAWESI PROVINCE

Abstract

The implementation of National Strategic Projects (National Strategic Projects/PSN) in industrial areas characterized by high-risk activities presents significant occupational safety and health (OSH) challenges that are associated not only with technical conditions but also with the quality of the organizational and safety climates. This study aims to analyze the influence of organ izational climate on safety climate, safety knowledge, safety motivation, and safety behavior as mechanisms for achieving zero accidents in the implementation of a National Strategic Project at PT Indonesia Pomalaa Industri Park (IPIP), Kolaka Regency, Southeast Sulawesi, Indonesia. The study employs a quantitative approach using an explanatory research design. The proposed analytical framework utilizes Partial Least Squares Structural Equation Modeling (PLS-SEM). The model consists of 240 workers and contractor personnel as a synthetic dataset intended to demonstrate the analytical framework, while accident indicators are incorporated to establish the relationship between safety climate and lagging safety indicators. The study variables consist of organizational climate, safety climate, safety knowledge, safety motivation, and safety behavior. The research instrument consists of 36 statements measured using a five-point Likert scale. The synthetic model results indicate that all constructs meet the required reliability criteria, with Cronbach's Alpha values ranging from 0.812 to 0.921 and Composite Reliability values ranging from 0.868 to 0.938. The Average Variance Extracted (AVE) values range from 0.588 to 0.686, while all HTMT values are below the threshold of 0.90. Safety climate is positively influenced by organizational climate, with a path coefficient of 0.755. Safety knowledge and safety motivation are positively influenced by safety climate, with path coefficients of 0.678 and 0.721, respectively. Furthermore, safety behavior is positively influenced by safety knowledge, safety motivation, and safety climate, with path coefficients of 0.315, 0.402, and 0.219, respectively. The R² value of 0.690 for safety behavior indicates substantial explanatory power of the structural model. Based on the synthetic safety dataset consisting of 2,400,000 working hours, the LTIFR, TRIFR, and severity rates were 2.50, 6.67, and 30.00, respectively. These findings support Zohar's perspective that safety climate represents employees' shared perceptions regarding the organizational priority given to safety, as well as the Griffin and Neal model, which explains the roles of safety knowledge and safety motivation as mechanisms leading to safety performance. Clarke's meta-analytic findings further provide a theoretical basis for understanding that safety climate is more consistently associated with safety compliance and safety participation than with direct accident outcomes. This study emphasizes that zero accidents should not be positioned solely as a statistical target, but rather as an outcome of a consistent, participatory, and learning-oriented organizational safety system.