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Bröchner, J (2009) Construction metaphors in Aristotle: knowledge, purpose, process. Construction Management and Economics, 27(05), 515–23.

Fox, S (2009) Applying critical realism to information and communication technologies: a case study. Construction Management and Economics, 27(05), 465–72.

Gluch, P, Gustafsson, M and Thuvander, L (2009) An absorptive capacity model for green innovation and performance in the construction industry. Construction Management and Economics, 27(05), 451–64.

Tang, L C M and Leung, A Y T (2009) An entropy-based financial decision support system (e-FDSS) for project analysis in construction SMEs. Construction Management and Economics, 27(05), 499–513.

  • Type: Journal Article
  • Keywords: decision support system; entropy; fuzzy logic; genetic algorithm; project management
  • ISBN/ISSN: 0144-6193
  • URL: https://doi.org/10.1080/01446190902883049
  • Abstract:
    Uncertainty contributes a major part in the accuracy of a decision-making process while its inconsistency is always difficult to be solved by existing decision-making tools. Entropy has been proved to be useful to evaluate the inconsistency of uncertainty among different respondents. The study demonstrates an entropy-based financial decision support system called e-FDSS. This integrated system provides decision support to evaluate attributes (funding options and multiple risks) available in projects. Fuzzy logic theory is included in the system to deal with the qualitative aspect of these options and risks. An adaptive genetic algorithm (AGA) is also employed to solve the decision algorithm in the system in order to provide optimal and consistent rates to these attributes. Seven simplified and parallel projects from a Hong Kong construction small and medium enterprise (SME) were assessed to evaluate the system. The result shows that the system calculates risk adjusted discount rates (RADR) of projects in an objective way. These rates discount project cash flow impartially. Inconsistency of uncertainty is also successfully evaluated by the use of the entropy method. Finally, the system identifies the favourable funding options that are managed by a scheme called SME Loan Guarantee Scheme (SGS). Based on these results, resource allocation could then be optimized and the best time to start a new project could also be identified throughout the overall project life cycle.

Tuuli, M M and Rowlinson, S (2009) Empowerment in project teams: a multilevel examination of the job performance implications. Construction Management and Economics, 27(05), 473–98.

Yung, P (2009) Institutional arrangements and construction safety in China: an empirical examination. Construction Management and Economics, 27(05), 439–50.