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Abdul-Aziz, A-R, Ngau, D P, Lim, Y M and Nuruddin, A R (2011) Internationalization of Malaysian quantity surveying firms: exploring the best fit models. Construction Management and Economics, 29(01), 49–58.

Brown, A D and Phua, F T T (2011) Subjectively construed identities and discourse: towards a research agenda for construction management. Construction Management and Economics, 29(01), 83–95.

Chang, Y, Wilkinson, S, Potangaroa, R and Seville, E (2011) Identifying factors affecting resource availability for post-disaster reconstruction: a case study in China. Construction Management and Economics, 29(01), 37–48.

Davey, C L, Lowe, D J and Duff, A R (2001) Generating opportunities for SMEs to develop partnerships and improve performance. Building Research & Information, 29(01), 1–11.

Dursun, O and Stoy, C (2011) Time-cost relationship of building projects: statistical adequacy of categorization with respect to project location. Construction Management and Economics, 29(01), 97–106.

  • Type: Journal Article
  • Keywords: Bromilow's time-cost model; categorization; project location; F-ratio
  • ISBN/ISSN: 0144-6193
  • URL: https://doi.org/10.1080/01446193.2010.528437
  • Abstract:
    Construction duration is one of the key elements to determine the success of a project. Several models have been developed to provide precise predictions of construction duration. The datasets in previous studies comprise observations from particular countries. This precludes examination of the role of project location at the country level for modelling construction duration. The aim, therefore, is to test the statistical adequacy of categorizing projects with respect to their locations for modelling construction duration. A formal procedure to evaluate the adequacy of categorizing observations is also presented. It is intended to contribute to the epistemology of modelling construction duration. The dataset was generated from a global client. It contains information on 246 projects from 25 different countries. This creates a categorical variable for location. Bromilow’s time–cost model is chosen to assess the adequacy of this categorization. A full model with indicator and interaction variables is compared to a restricted one. Parameter estimation was performed according to the ordinary least squares method. F-statistics are calculated and the probability of the value is significant. The results show that two distinct groups with substantial changes in model parameters exist in the dataset. It is also noted that conclusions are valid over the selected population.

Gundes, S (2011) Exploring the dynamics of the Turkish construction industry using input-output analysis. Construction Management and Economics, 29(01), 59–68.

Kululanga, G K, Edum-Fotwe, F T and McCaffer, R (2001) Measuring construction contractors' organizational learning. Building Research & Information, 29(01), 21–9.

Landin, A and Nilsson, C-H (2001) Do quality systems really make a difference?. Building Research & Information, 29(01), 12–20.

Lansley, P R (2001) Building research and the quality-of-life. Building Research & Information, 29(01), 62–74.

Lu, W, Olofsson, T and Stehn, L (2011) A lean-agile model of homebuilders' production systems. Construction Management and Economics, 29(01), 25–35.

Mbiti, T K, Blismas, N, Wakefield, R and Lombardo, R (2011) System archetypes underlying the problematic behaviour of construction activity in Kenya. Construction Management and Economics, 29(01), 3–13.

Ofori, G (2001) Indicators for measuring construction industry development in developing countries. Building Research & Information, 29(01), 40–50.

Shih, N-J and Huang, Y-S (2001) A study of reflection glare in Taipei. Building Research & Information, 29(01), 30–9.

Thomson, D (2011) A pilot study of client complexity, emergent requirements and stakeholder perceptions of project success. Construction Management and Economics, 29(01), 69–82.

Wu, J, Kumaraswamy, M and Soo, G K L (2011) Dubious benefits from future exchange: an explanation of payment arrears from "continuing clients" in Mainland China. Construction Management and Economics, 29(01), 15–23.