A quantitative study on the performance of construction industry in IR 5.0 evolution: using conceptual model approach

Chia, Xuanying (2025) A quantitative study on the performance of construction industry in IR 5.0 evolution: using conceptual model approach. Final Year Project, UTAR.

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Abstract

The construction industry currently faces limitations in knowledge and understanding of Industrial Revolution 5.0 (IR 5.0), which poses challenges to its adoption. This research project aims to investigate the performance of the construction industry in the context of IR 5.0 evolution. The objectives are: (i) to identify the variables that affect performance, (ii) to examine the relationship between readiness and intention toward performance, and (iii) to explore the impact of readiness and intention on performance. The study adopts a conceptual framework based on the Theory of Reasoned Action (TRA), the Unified Theory of Acceptance and Use of Technology (UTAUT), and the Theory of Organisational Readiness for Change (TORC). A quantitative approach was employed, where descriptive analysis was conducted using IBM SPSS, and Partial Least Squares Structural Equation Modeling (PLS-SEM) was applied through SmartPLS to assess both the measurement and structural models. The findings indicate that readiness does not significantly influence the performance of the construction industry in IR 5.0, whereas intention demonstrates a significant relationship and positive impact on performance. In conclusion, the study emphasizes that intention plays a more critical role than readiness in enhancing construction industry performance in IR 5.0. These results contribute to theoretical understanding and provide practical insights for policymakers and construction players in fostering successful IR 5.0 adoption. Keywords: Quantitative analysis, IR 5.0 Revolution, Performance, Construction Industry, Readiness and Intention Subject Area: HA29-32 Theory and method of social science statistics

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