Structural Equation Modelling of Building Information Modelling (BIM) Adoption Framework in New Zealand

Abstract

Purpose Building information modelling (BIM) adoption in the construction industry has increased, driven by its potential to revolutionise project outcomes through improved efficiency and collaboration. However, New Zealand’s BIM adoption is still in its early stages, hindered by unique challenges such as a lack of comprehensive, tailored guidelines. While other countries have developed BIM frameworks to address their specific needs, a critical gap exists in New Zealand for a structured framework tailored to its context. This research aims to fill this gap by examining the key factors influencing BIM adoption in New Zealand, addressing the unique local challenges and opportunities.

Design/methodology/approach This research employed a questionnaire to collect data from New Zealand construction professionals experienced in BIM. The data were analysed using partial least squares – structural equation modelling (PLS-SEM) to assess measurement and structural models.

Findings The study identifies seven critical categories, encompassing 31 factors, that significantly impact BIM adoption in the region. Among these, leadership emerged as the most influential category, underscoring the importance of clear BIM leadership roles and regular reviews of strategic plans.

Originality/value This research systematically integrates qualitative and quantitative insights to develop a comprehensive, empirically validated framework specifically for New Zealand. This study uniquely employs PLS-SEM to test interrelationships between 31 factors across seven categories, offering a structured decision-making model for policymakers and industry professionals. The framework not only addresses New Zealand’s context-specific barriers but also provides a scalable model that can inform BIM adoption strategies in other countries facing similar challenges.