A Preliminary Survey of Factors Influencing Project Cost Estimating Practice in the Klang Valley of Malaysia

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The objective of the survey which was conducted in the Klang Valley of Malaysia was to prioritise factors that are considered by building contractors in estimating the construction cost of buildings. Respondents selected by simple random sampling have been asked to assign a one-to-five rating for each of the total of 79 cost factors identified from the literature review. The result of the preliminary survey of factors influencing project cost estimating practice of building contractors has indicated that only 35 cost factors have been regarded by the respondents from small, medium and large building construction companies as highly relevant for building construction projects. ‘Client requirements on quality’ was found to be the most significant cost factor influencing the construction cost of buildings.

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915-920

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December 2013

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Ahadzie, D. K., Proverbs, D. G., & Olomolaiye, P. O. (2008). Critical success criteria for mass house building projects in developing countries. International Journal of Project Management, 26(6), 675-687.

DOI: 10.1016/j.ijproman.2007.09.006

Google Scholar

[2] Elinwa, A. U., & Buba, S. A. (1993). Construction cost factors in Nigeria. Journal of Construction Engineering and Management, 119(4), 698-713.

DOI: 10.1061/(asce)0733-9364(1993)119:4(698)

Google Scholar

[3] Akintoye, A. (2000). Analysis of factors influencing project cost estimating practice. Construction Management and Economics, 18(1), 77-89.

DOI: 10.1080/014461900370979

Google Scholar

[4] Chan, S. L., & Park, M. (2005). Project cost estimation using principal component regression. Construction Management and Economics, 23(3), 295-304.

DOI: 10.1080/01446190500039812

Google Scholar

[5] Stoy, C., & Schalcher, H. -R. (2007). Residential building projects: building cost indicators and drivers. Journal of Construction Engineering and Management, 133(2), 139-145.

DOI: 10.1061/(asce)0733-9364(2007)133:2(139)

Google Scholar

[6] Stoy, C., Pollalis, S., & Schalcher, H. -R. (2008). Drivers for cost estimating in early design: Case study of residential construction. Journal of Construction Engineering and Management, 134(1), 32-39.

DOI: 10.1061/(asce)0733-9364(2008)134:1(32)

Google Scholar

[7] Elhag, T. M. S., Boussabaine, A. H., & Ballal, T. M. A. (2005). Critical determinants of construction tendering costs: Quantity surveyors' standpoint. International Journal of Project Management, 23(7), 538-545.

DOI: 10.1016/j.ijproman.2005.04.002

Google Scholar

[8] Rasli, A. (2006). Data Analysis and Interpretation-A Handbook for Postgraduate Social Scientists (+ CD). Penerbit UTM.

Google Scholar

[9] Lovie, P. (2005). Coefficient of variation. Encyclopedia of statistics in behavioral science.

Google Scholar

[10] Kendall, M. G., & Smith, B. B. (1939). The problem of m rankings. The Annals of Mathematical Statistics, 10(3), 275-287.

Google Scholar

[11] Aibinu, A. A., & Pasco, T. (2008). The accuracy of pre-tender building cost estimates in Australia. Construction Management and Economics, 26(12), 1257-1269.

DOI: 10.1080/01446190802527514

Google Scholar

[12] Drew, D., & Skitmore, M. (1997). The effect of contract type and size on competitiveness in bidding. Construction Management and Economics, 15(5), 469-489.

DOI: 10.1080/014461997372836

Google Scholar

[13] Kumaraswamy, M. M., & Chan, D. W. M. (1995). Determinants of construction duration. Construction Management and Economics, 13(3), 209-217.

DOI: 10.1080/01446199500000025

Google Scholar

[14] Love, P. E. D., Tse, R. Y. C., & Edwards, D. J. (2005). Time-cost relationships in Australian building construction projects. Journal of Construction Engineering and Management, 131(2), 187-194.

DOI: 10.1061/(asce)0733-9364(2005)131:2(187)

Google Scholar

[15] Ogunsemi, D. R., & Jagboro, G. O. (2006). Time-cost model for building projects in Nigeria. Construction Management and Economics, 24(3), 253-258.

DOI: 10.1080/01446190500521041

Google Scholar

[16] Dursun, O., & Stoy, C. (2011). Time-cost relationship of building projects: statistical adequacy of categorization with respect to project location. Construction Management and Economics, 29(1), 97-106.

DOI: 10.1080/01446193.2010.528437

Google Scholar

[17] Egemen, M., & Mohamed, A. N. (2007). A framework for contractors to reach strategically correct bid/no bid and mark-up size decisions. Building and Environment, 42(3), 1373-1385.

DOI: 10.1016/j.buildenv.2005.11.016

Google Scholar