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Cuervo, J C and Low, S P (2005) Significance of internalization factors for Singapore transnational construction corporations. Construction Management and Economics, 23(02), 147-62.

Dansoh, A (2005) Strategic planning practice of construction firms in Ghana. Construction Management and Economics, 23(02), 163-–8.

Glass, J (2005) A best practice process model for hybrid concrete construction. Construction Management and Economics, 23(02), 169-84.

Hosein, R and Lewis, T M (2005) Quantifying the relationship between aggregate GDP and construction value added in a small petroleum rich economy � a case study of Trinidad and Tobago. Construction Management and Economics, 23(02), 185-97.

Islam, M D M and Faniran, O O (2005) Structural equation model of project planning effectiveness. Construction Management and Economics, 23(02), 215-23.

  • Type: Journal Article
  • Keywords: Project management; project planning; planning effectiveness; structural equation modelling; Australia
  • ISBN/ISSN: 0144-6193
  • URL: https://doi.org/10.1080/0144619042000301384
  • Abstract:

    Previous research studies investigating the impact of situational variables on project planning effectiveness have not examined how the situational variables work together to influence planning effectiveness. A structural equation model (SEM) has been developed for describing and quantifying the influence of situational factors in project environments and organizational characteristics of performing organizations on project planning effectiveness. The individual effects of directly-observable variables on the project planning process were evaluated using regression analysis. The SEM approach enables the modelling of multiple factors as latent not-directly-measurable variable sets, thus providing a theoretical insight into how individual influence factors work together to determine the effectiveness of project planning efforts. The project environment has a dominant significant influence on the potential effectiveness of project planning efforts. In contrast, the influence of organizational characteristics is relatively insignificant.

Lam, K C, Tang, C M and Lee, W C (2005) Application of the entropy technique and genetic algorithms to construction site layout planning of medium-size projects. Construction Management and Economics, 23(02), 127-45.

Wang, W-C and Dzeng, R-J (2005) Applying cluster identification algorithm and simulation to generate probabilistic network schedules for design projects. Construction Management and Economics, 23(02), 199-213.