A Study on Potential Improvement Areas and Cost Implication of QLASSIC from the Perspective of Contractors

Leong, Sim Yeen (2020) A Study on Potential Improvement Areas and Cost Implication of QLASSIC from the Perspective of Contractors. Final Year Project (Bachelor), Tunku Abdul Rahman University College.

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Abstract

Quality Assessment System in Construction (QLASSIC) was introduced by Construction Industry Development Board (CIDB) in 2006 as a system to evaluate the quality performance of the construction projects by awarding score based on Construction Industry Standard (CIS7:2006). Since CIDB planned to make QLASSIC as a compulsory requirement for the application of Certificate of Completion (CCC), the construction industry believed that the existing assessment standard and assessment operation process should be improved and there will be additional construction cost incurred to them if a project is assessed under QLASSIC. Thus, this research aims to identify the potential improvement areas of QLASSIC and examine the cost implication of the adoption of QLASSIC from the contractor’s perspective. A mixed-method that consists of the questionnaire survey through online and face-to-face delivery as well as the semi-structured interview was adopted in the primary data collection. The result revealed that most of the aspects disclosed in the questionnaires are the potential improvement areas of QLASSIC. It was also found that the overall construction cost will increase around 4 to 6% when the construction projects are assessed under QLASSIC. The finding of this research makes a contribution to the body of knowledge and to the public and private sector to recognise the potential improvement areas of QLASSIC and the cost implication of the adoption of QLASSIC. Hence, suitable steps can be made in order to improve the adoption rate of QLASSIC in the construction industry of Malaysia. The limitations of this research were small sample size and the data obtained could be based on the respondents’ past experiences or assumption. Therefore, future study may consider to increase the sample size and incorporate more data collection methods.