PhD Final Thesis April 2013.pdf - Anglia Ruskin Research Online

Thesis Keith Gale 2013In this chapter, a summation of critical success factors and project outcomes aremade together with a review of the financial effects to the client of engagement,transaction and production costs between the two procurement methods. The impactof this research to professional practice is considered, particularly with regard to theprocurement performance model at both local case study organisation and over awider public sector audience.Recognition of limitations of this research together with reflections upon the methodsand effectiveness of the study provides a conclusive finale to the chapter.12.2 The impact of a framework approach upon project outcomesClassification of project success will vary according to the contextual positioning ofthat client. Johnson et al, (2008) contrasted private sector culture (commercialconsiderations and confidentiality) with that of public sector (public service andopenness). Whilst this may affect clients’ perceptions, studies into constructionmanagement have consistently returned to an ‘iron triangle’ of time, quality and costascribed by Atkinson (1999) as a reasoned measure of project success. Subsequentstudies have introduced other key performance indicators, whilst more recentresearch (Yuan et al, 2009) has raised concerns from practitioners and clients alikeregarding the effort of measurement and collation of data involved with the process.Yeung et al, (2008) suggested seven indicators of project success and these havebeen modified within this research into five Critical Success Factors (CSF) used as ameasure for comparison with each project. The aggregated values form a compositeProject Success Index (PSI) for each project.A major difficulty with quantitative analysis of construction projects is the lack ofcomparative data (Hillebrandt and Hughes (2000), Hughes et al, (2006)). Oftenproject outcomes are described as a variance between tender values and final values(e.g. financial or time parameters) without a consideration of causes relating to suchvariations. This research undertakes a comprehensive system of analysis byfollowing standard contractual mechanisms for apportionment of variationsaccording to the source (i.e. client permitted variation). Calculation of values foreach index required an expansive equation allowing application to project parameters274