Have a personal or library account? Click to login
Challenges in pricing preliminaries costs for contractors: An Australian case study Cover

Challenges in pricing preliminaries costs for contractors: An Australian case study

Organization, Technology and Management in Construction: an International Journal
Volume 17 (2025): Issue 1 (January 2025)
By:
Open Access
|Jul 2025

References

  1. Abas, A. A., Ismail, F., & Ismail, Z. (2016). Complexity of project and impacts on preliminaries of construction project at tender stage. Paper presented at the 7th International Conference on Postgraduate Education, Universiti Teknologi MARA (UiTM), Shah Alam, Malaysia, December 1, 2016.
    Search in Google ScholarBack to article
  2. Abas, A. A., Ismail, F., &amp; Ismail, Z. (2019). Reliable description of preliminaries item using civil engineering preliminaries protocol (CEPP) in conventional contracts. In <em>MATEC Web of Conferences</em>, 2019. EDP Sciences, 03006.
    Search in Google ScholarBack to article
  3. Abdul-Malak, M. A., &amp; Azhari, S. (2008). Use of historical overhead costs for estimation and control purposes. In: <em>AEI 2008: Building Integration Solutions</em>.
    Search in Google ScholarBack to article
  4. Akintoye, A. (2000). Analysis of factors influencing project cost estimating practice. <em>Construction Management and Economics, 18</em>, pp. 77-89. doi: <a href="https://doi.org/10.1080/014461900370979" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1080/014461900370979</a>
    Open DOISearch in Google ScholarBack to article
  5. Akintoye, A., &amp; Fitzgerald, E. (2000). A survey of current cost estimating practices in the UK. <em>Construction Management and Economics, 18</em>, pp. 161-172. doi: <a href="https://doi.org/10.1080/014461900370799" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1080/014461900370799</a>
    Open DOISearch in Google ScholarBack to article
  6. Boone, Jr., H. N., &amp; Boone, D. A. (2012). Analyzing Likert data. <em>Journal of Extension, 50</em>(2), pp. 1-6. doi: <a href="https://doi.org/10.34068/joe.50.02.48" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.34068/joe.50.02.48</a>
    Open DOISearch in Google ScholarBack to article
  7. Chan, C. T. (2012). The principal factors affecting construction project overhead expenses: An exploratory factor analysis approach. <em>Construction Management and Economics, 30</em>, pp. 903-914. doi: <a href="https://doi.org/10.1080/01446193.2012.717706" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1080/01446193.2012.717706</a>
    Open DOISearch in Google ScholarBack to article
  8. Chan, C. T. W., &amp; Pasquire, C. (2002). Estimation of project overheads: A contractor’s perspective. In: <em>18th Annual ARCOM Conference</em>, pp. 2-4. Held at the University of Northumbria in Newcastle upon Tyne, United Kingdom, 2nd to 4th September 2002.
    Search in Google ScholarBack to article
  9. Chao, L. C. (2010). Estimating project overheads rate in bidding: DSS approach using neural networks. <em>Construction Management and Economics, 28</em>, pp. 287-299. doi: <a href="https://doi.org/10.1080/01446190903473782" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1080/01446190903473782</a>
    Open DOISearch in Google ScholarBack to article
  10. Chao, L.-C., &amp; Kuo, C.-P. (2016). Probabilistic approach to determining overhead-cum-markup rate in bid price. <em>Procedia Engineering, 164</em>, pp. 243-250. doi: <a href="https://doi.org/10.1016/j.proeng.2016.11.616" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.proeng.2016.11.616</a>
    Open DOISearch in Google ScholarBack to article
  11. Chen, J. H., Yang, L. R., Chen, W., &amp; Chang, C. (2008). Case‐based allocation of onsite supervisory manpower for construction projects. <em>Construction Management and Economics, 26</em>, pp. 805-814. doi: <a href="https://doi.org/10.1080/01446190802014778" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1080/01446190802014778</a>
    Open DOISearch in Google ScholarBack to article
  12. CIOB. (2018). <em>New Code of Estimating Practice</em>. John Wiley &amp; Sons, New Jersey, USA.
    Search in Google ScholarBack to article
  13. Coelho, P. S., &amp; Esteves, S. P. (2007). The choice between a fivepoint and a ten-point scale in the framework of customer satisfaction measurement. <em>International Journal of Market Research, 49</em>, pp. 313-339. doi: <a href="https://doi.org/10.1177/147078530704900305" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1177/147078530704900305</a>
    Open DOISearch in Google ScholarBack to article
  14. Dell’isola, M. D. (2003). Detailed cost estimating. <em>Excerpt from Architect’s Handbook of Professional Practice</em>. pp. 1-13. J. A. Demkin (Ed.) John Wiley &amp; Sons, New Jersey, USA.
    Search in Google ScholarBack to article
  15. Eldosouky, I. A., Ibrahim, A. H., &amp; Mohammed, H. E.-D. (2014). Management of construction cost contingency covering upside and downside risks. <em>Alexandria Engineering Journal, 53</em>, pp. 863-881. doi: <a href="https://doi.org/10.1016/j.aej.2014.09.008" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.aej.2014.09.008</a>
    Open DOISearch in Google ScholarBack to article
  16. Enshassi, A., Abdul Aziz, A. R., &amp; El Karriri, A. A. (2008). Investigating the overhead costs in construction projects in Palestine. <em>Journal of Financial Management of Property and Construction, 13</em>, pp. 35-47. doi: <a href="https://doi.org/10.1108/13664380810882066" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1108/13664380810882066</a>
    Open DOISearch in Google ScholarBack to article
  17. Erri Pradeep, A., Yiu, T., &amp; Amor, R. (2019). Leveraging blockchain technology in a BIM workflow: A literature review. In: <em>International Conference on Smart Infrastructure and Construction 2019 (ICSIC) Driving Data-Informed Decision-Making</em>, University of Cambridge, UK, ICE Publishing, pp. 371-380.
    Search in Google ScholarBack to article
  18. Fiolet, J.-C., Haas, C., &amp; Hipel, K. (2016). Risk-chasing behaviour in on-site construction decisions. <em>Construction Management and Economics, 34</em>, pp. 845-858. doi: <a href="https://doi.org/10.1080/01446193.2016.1207790" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1080/01446193.2016.1207790</a>
    Open DOISearch in Google ScholarBack to article
  19. Haupt, T. C., &amp; Pillay, K. (2016). Investigating the true costs of construction accidents. <em>Journal of Engineering, Design and Technology, 14</em>, pp. 373-419. doi: <a href="https://doi.org/10.1108/JEDT-07-2014-0041" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1108/JEDT-07-2014-0041</a>
    Open DOISearch in Google ScholarBack to article
  20. Hesami, S., &amp; Lavasani, S. A. (2014). Identifying and classifying effective factors affecting overhead costs in constructing projects in Iran. <em>International Journal of Construction Engineering and Management, 3</em>, pp. 24-41. doi: <a href="https://doi.org/10.5923/j." target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.5923/j.</a> ijcem.20140301.03.
    Open DOISearch in Google ScholarBack to article
  21. Hicks, J. C. (1992). Heavy construction estimates, with and without computers. <em>Journal of Construction Engineering and Management, 118</em>, pp. 545-560. doi: <a href="https://doi.org/10.1061/(ASCE)0733-9364(1992)118:3(545)" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1061/(ASCE)0733-9364(1992)118:3(545)</a>
    Open DOISearch in Google ScholarBack to article
  22. Hills, R., &amp; Lee, S. (2024). <em>Willis’s Elements of Quantity Surveying</em>. John Wiley &amp; Sons, New Jersey, USA.
    Search in Google ScholarBack to article
  23. Jaya, N. M., &amp; Frederika, A. (2015). An identification of construction project overheads for sustainable cost management and controlling practices (CMCPs). <em>Applied Mechanics and Materials, 776</em>, pp. 121-126. doi: <a href="https://doi.org/10.4028/www.scientific.net/AMM.776.121" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.4028/www.scientific.net/AMM.776.121</a>
    Open DOISearch in Google ScholarBack to article
  24. Leśniak, A. (2013). The application of artificial neural networks in indirect cost estimation. In: <em>AIP Conference Proceedings</em>. American Institute of Physics, pp. 1312-1315.
    Search in Google ScholarBack to article
  25. Leśniak, A., &amp; Juszczyk, M. (2018). Prediction of site overhead costs with the use of artificial neural network based model. <em>Archives of Civil and Mechanical Engineering, 18</em>, pp. 973-982. doi: <a href="https://doi.org/10.1016/j.acme.2018.01.014" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.acme.2018.01.014</a>
    Open DOISearch in Google ScholarBack to article
  26. Nabil, I., &amp; El-Riyati, A. (2015). An overhead costs assessment for construction projects at Gaza Strip. <em>American Journal of Civil Engineering, 3</em>, pp. 95-101. doi: <a href="https://doi.org/10.11648/j.ajce.20150304.11" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.11648/j.ajce.20150304.11</a>
    Open DOISearch in Google ScholarBack to article
  27. Naderi, M., Nazari, A., Shafaat, A., &amp; Abrishami, S. (2024). Enhancing accuracy in construction overhead cost estimation: A novel integration of activity-based costing and building information modelling. <em>Smart and Sustainable Built Environment. 14</em>(3), pp. 758-775. doi: <a href="https://doi.org/10.1108/SASBE-07-2023-0180." target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1108/SASBE-07-2023-0180.</a>
    Open DOISearch in Google ScholarBack to article
  28. Odeyinka, H. A., &amp; Yusif, A. (2003). An assessment of the accuracy of quantity surveyors’ preliminary cost estimates in Nigeria. <em>Construction Engineering, 18</em>, pp. 33-38.
    Search in Google ScholarBack to article
  29. Plebankiewicz, E., &amp; Leśniak, A. (2013). Overhead costs and profit calculation by Polish contractors. <em>Technological and Economic Development of Economy, 19</em>, pp. 141-161. doi: <a href="https://doi.org/10.3846/20294913.2012.763008" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.3846/20294913.2012.763008</a>
    Open DOISearch in Google ScholarBack to article
  30. Pradeep, P., Seneviratne, L. I. P., Rathnayake, U., &amp; Melagoda, D. (2018). Impact of using minimum preliminary items for building works in Sri Lankan construction industry.
    Search in Google ScholarBack to article
  31. Saini, A., Khursheed, S., Paul, V. K., &amp; Kumar, K. (2021). Analysis of indirect cost of construction projects in India. <em>International Journal of Sustainable Building Technology, 4</em>, pp. 9-23. doi: <a href="https://doi.org/10.37628/ijsdt.v4i2.864" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.37628/ijsdt.v4i2.864</a>
    Open DOISearch in Google ScholarBack to article
  32. Shittu, A. A., Idiake, J. E., Akanmu, W. P., &amp; Mac-Barango, D. O. (2022). Effect of cost of scaffolding on cost of preliminaries in multi-storey building projects in Abuja, Nigeria.
    Search in Google ScholarBack to article
  33. Singla, H. K., &amp; Sridharan, S. (2022). Factors influencing the level of accuracy and compromise in overhead estimation for construction projects in India: An exploratory investigation. <em>Engineering, Construction and Architectural Management, 29</em>, pp. 4040-4060. doi: <a href="https://doi.org/10.1108/ECAM-04-2021-0362" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1108/ECAM-04-2021-0362</a>
    Open DOISearch in Google ScholarBack to article
  34. Šiškina, A., Juodis, A., &amp; Apanavičiene, R. (2009). Evaluation of the competitiveness of construction company overhead costs. <em>Journal of Civil Engineering and Management, 15</em>, pp. 215-224. doi: <a href="https://doi.org/10.3846/1392-3730.2009.15.215-224" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.3846/1392-3730.2009.15.215-224</a>
    Open DOISearch in Google ScholarBack to article
  35. Sullivan, G. M., &amp; Artino, Jr., A. R. (2013). Analyzing and interpreting data from Likert-type scales. <em>Journal of Graduate Medical Education, 5</em>(4), pp. 541-542. doi: <a href="https://doi.org/10.4300/JGME-5-4-18" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.4300/JGME-5-4-18</a>
    Open DOISearch in Google ScholarBack to article
  36. Vaz-Serra, P., &amp; Mitcheltree, H. (2020). Understanding the key master of construction project management graduate competencies required to meet industry needs in Australia. <em>International Journal of Construction Education and Research, 17</em>(3), pp. 222-241. doi: <a href="https://doi.org/10.1080/15578771.2020.1739177" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1080/15578771.2020.1739177</a>
    Open DOISearch in Google ScholarBack to article
DOI: https://doi.org/10.2478/otmcj-2025-0008 | Journal eISSN: 1847-6228 | Journal ISSN: 1847-5450
Journal RSS Feed
Language: English
Page range: 137 - 153
Submitted on: Oct 15, 2024
Accepted on: Mar 24, 2025
Published on: Jul 16, 2025
Published by: Sciendo
In partnership with: Paradigm Publishing Services
Publication frequency: 1 times per year
Keywords:
contractor,
costs,
preliminaries,
estimating,
tendering
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 2025 Timothy O’Leary, Paulo Vaz-Serra, published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 License.

Previous articleVolume 17 (2025): Issue 1 (January 2025)Next article