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Evaluation and analysis of criteria and sub-criteria of a ... - Emerald

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ECAM15,136might not be applicable in other industries. This might limit the ability <strong>of</strong>organisations to benchmark across industries.Conclusion <strong>and</strong> further workThe evaluation <strong>and</strong> <strong>analysis</strong> <strong>of</strong> the <strong>criteria</strong> <strong>and</strong> <strong>sub</strong>-<strong>criteria</strong> <strong>of</strong> a ConstructionExcellence Model was presented in this paper. The evaluation <strong>and</strong> <strong>analysis</strong> was basedon similar evaluations <strong>and</strong> analyses <strong>of</strong> TQM frameworks <strong>and</strong> excellence models inquality management literature. The <strong>analysis</strong> addressed the issue <strong>of</strong> data preparation,where missing data were analysed <strong>and</strong> appropriate data replacement methods used tocomplete the data set. The questionnaire as a measuring instrument was evaluated interms <strong>of</strong> reliability using Cronbach’s alpha, which resulted in the omission <strong>of</strong> the“Society <strong>and</strong> environmental impact <strong>of</strong> projects” <strong>sub</strong>-criterion from the “Projectperformance” criterion. Reliability <strong>of</strong> the measuring instrument is a necessary but notsufficient condition for validity. The validity <strong>of</strong> the measuring instrument is furtherevaluated in terms <strong>of</strong> content, construct <strong>and</strong> criterion-related validity using techniquesas factor <strong>analysis</strong>, multiple correlation. The <strong>criteria</strong> <strong>and</strong> <strong>sub</strong>-<strong>criteria</strong> were confirmedthrough their importance ratings <strong>and</strong> actual effectiveness ratings employingconfidence intervals <strong>and</strong> exploratory <strong>and</strong> confirmatory factor <strong>analysis</strong>. Theevaluation <strong>and</strong> <strong>analysis</strong> <strong>of</strong> the model’s <strong>criteria</strong> <strong>and</strong> <strong>sub</strong>-<strong>criteria</strong> strengthens themodel’s validity. The weights <strong>of</strong> the <strong>criteria</strong> were calculated using empirical data <strong>and</strong>the method <strong>of</strong> factor regression coefficients.A number <strong>of</strong> future researches can be conducted in continuation <strong>of</strong> this researchpaper. The scope <strong>of</strong> the model could be exp<strong>and</strong>ed to suit the needs <strong>of</strong> other types <strong>of</strong>construction organisations, such as consultants <strong>and</strong> owner organisations.Modifications could include, for example, modifying the relative criterion weights inthe Construction Excellence Model, for different types <strong>of</strong> organisations. Theconsideration <strong>of</strong> organisation size is another area <strong>of</strong> possible research, wherespin-<strong>of</strong>f models could be developed for small <strong>and</strong> medium enterprises. In addition, thecriterion weights <strong>of</strong> national Excellence Models such as EFQM <strong>and</strong> Baldrige requireempirical justification. Finally, within the Construction Excellence Model, alternativemethods for computing criterion weights can be applied such as the analytic hierarchyprocess.ReferencesAhire, S.L., Golhar, D.Y. <strong>and</strong> Waller, M.A. (1996), “Development <strong>and</strong> validation <strong>of</strong> TQMimplementation constructs”, Decision Sciences, Vol. 27 No. 1, pp. 23-56.Ahmad, I.U. <strong>and</strong> Sein, M.K. (1997), “Implementing TQM principles in construction projects:difficulties <strong>and</strong> remedies”, International Conference on Leadership <strong>and</strong> Total QualityManagement in Construction <strong>and</strong> Building, CI Premier Conference, Singapore, pp. 47-54.Anderson, J.C., Rungtusanatham, M., Schroeder, R.G. <strong>and</strong> Devaraj, S. (1995), “A path analyticmodel <strong>of</strong> a theory <strong>of</strong> quality management underlying the Deming management model:preliminary empirical findings”, Decision Sciences, Vol. 26 No. 5, pp. 637-58.Bassioni, H.A., Price, A.D.F. <strong>and</strong> Hassan, T.M. (2004a), “Theoretical formulation <strong>of</strong> a frameworkfor measuring business performance in construction”, in Ruddock, L., Sexton, M.,

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