Study on the Implementation of Quality Assessment System in Construction (Qlassic) In Malaysia

Authors

  • Chung Xiao Yen Universiti Tunku Abdul Rahman (UTAR)
  • Wong Chee Fui Universiti Tunku Abdul Rahman (UTAR)
  • Gan Chin Heng Universiti Tunku Abdul Rahman (UTAR)

DOI:

https://doi.org/10.54552/v86i1.267

Keywords:

Barrier, Company Readiness, QLASSIC, SPSS

Abstract

Construction quality in Malaysia could be better if more effort were put into it. Ensuring quality in the construction industry is crucial for enhancing residents' quality of life. Hence, CIDB Malaysia has implemented the Quality Assessment System in Construction Industry (QLASSIC) as an industry-specific framework for measuring construction quality. Unfortunately, the adoption of QLASSIC is still not favourable. Hence, this research study aims to analyse the implementation of the QLASSIC in Malaysian construction industry. Four independent variables and one dependent variable were included in the study based on the extensive literature review. The independent variables were knowledge and awareness barriers, cost barriers, regulatory and enforcement barriers, and time-related barriers. The dependent variable was the company's readiness to adopt QLASSIC. In this study, a questionnaire survey was developed to collect the data for analysis by using SPSS software. There were 165 responses collected and used for the data analysis and interpretation. The study found that the adoption rate of QLASSIC is still low and the perception barriers were relatively important to the implementation of QLASSIC as indicated by Spearman’s Rank correlation coefficient. The correlation was high among the perceived barriers with the company’s readiness to adopt QLASSIC. This research study can be a guideline for QLASSIC adoption and provide valuable insight for future research studies.

 

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Published

22-07-2025

How to Cite

Chung, X. Y., Wong, C. F., & Gan, C. H. (2025). Study on the Implementation of Quality Assessment System in Construction (Qlassic) In Malaysia. IEM Journal, 86(1). https://doi.org/10.54552/v86i1.267

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