Immersive virtual training (IVT) technologies are being used more and more in high-risk fields like offshore oil and gas operations to make workers safer, more ready for work, and more interesting. Yet, the implementation success rests on how ready users are mentally to accept these technologies. Using an updated Technology Readiness Index (TRI) model, this study explores how behavioural factors affect the IVT adoption among offshore workers. To test four important ideas; Optimization, Discomfort, Self-Assurance, and Insecurity; a quantitative research method was used that combined Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), and Stepwise Linear Regression. 133 people were asked to take part in the study. The results showed that Optimisation was the most important IVT adoption positive predictor. This shows how people feel about how efficient, flexible, and useful a system is has a big effect on their involvement. Moreover, Discomfort appeared as a major inhibitor, indicating user anxiety, perceived complexity, and digital unfamiliarity. Self-Assurance and Insecurity were valid constructs, but they didn't have a big effect on the end model's behavioural intention. The study shows that behavioural readiness is a key factor in how well IVT technology is accepted and gives a reliable measurement model for future strategies for deployment. It is suggested that tailored onboarding and hybrid support methods should be used to make IVT adoption easier by reducing user discomfort and highlighting the system's benefits. This study adds a strong theory and practical framework for making immersive learning better integrated in offshore settings.