Abstracts – Browse Results
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Chang, S-h (2013) Evaluating essential liabilities on design professionals under earthquake’s impact: Taiwan experience. Engineering, Construction and Architectural Management, 20(02), 181-94.
Hwang, B-G, Tan, H F and Sathish, S (2013) Capital project performance measurement and benchmarking in Singapore. Engineering, Construction and Architectural Management, 20(02), 143-59.
- Type: Journal Article
- Keywords: benchmarking; construction industry; performance measurement; Singapore
- ISBN/ISSN: 0969-9988
- URL: https://doi.org/10.1108/09699981311303017
- Abstract:
Purpose – The purpose of this paper is to identify the implementation status of performance measurement and benchmarking in the Singapore construction industry and to provide some suggestions to increase the scale of implementation in these two areas. Design/methodology/approach – A comprehensive literature review was first carried out, then a questionnaire was developed and 32 contractor firms participated in the survey. Findings – It was found that contractor firms in Singapore do not practice performance measurement on a regular basis and there is no uniformity in calculation of performance metrics, leading to low usage of benchmarking. Research limitations/implications – One of the limitations faced during this study was the low number of companies that responded. Another limitation is that the size of projects analyzed tended to be focused towards a relatively small and medium scale. Practical implications – Development of a standardized performance measurement and benchmarking system in Singapore is required. Also, common definitions are vital to enable uniform data collection and the meaningful comparison of performance. Originality/value – This study will help the Singapore construction industry to remain competitive internationally and to continue to attract foreign investors for its capital projects.
Lee, J, Blumenstein, M, Guan, H and Loo, Y-C (2013) Minimising uncertainty in long-term prediction of bridge element. Engineering, Construction and Architectural Management, 20(02), 127-42.
Li, H, Jin, Z, Li, V, Liu, G and Skitmore, R M (2013) An entry mode decision-making model for the international expansion of construction enterprises. Engineering, Construction and Architectural Management, 20(02), 160-80.
Shehab, T and Farooq, M (2013) Neural network cost estimating model for utility rehabilitation projects. Engineering, Construction and Architectural Management, 20(02), 118-26.
Zhang, L and Fan, W (2013) Improving performance of construction projects: A project manager's emotional intelligence approach. Engineering, Construction and Architectural Management, 20(02), 195-207.