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Awil, A and Aziz, A R A (2002) International markets: Malaysian construction contractors and the stage theory. Construction Economics and Building, 2(01), 94-106.
El-Higzi, F (2002) Foreign market selection factors in the Australian construction services sector. Construction Economics and Building, 2(01), 107-120.
Francis, V and Lingard, H (2002) The case for family-friendly work practices in the Australian construction industry. Construction Economics and Building, 2(01), 28-36.
Jefferies, M, Chen, S and Conway, J (2002) Assessment of professional competence in a construction management problem-based learning setting. Construction Economics and Building, 2(01), 47-56.
Lam, K C, Cheung, S O, Tang, C M and Ng, S T (2002) Capital budgeting evaluation practices of building contractors in Hong Kong. Construction Economics and Building, 2(01), 81-93.
Ling, F and Leong, E (2002) Performance of design-build projects in terms of cost, quality and time: views of clients, architects and contractors in Singapore. Construction Economics and Building, 2(01), 37-46.
Manley, K and Marceau, J (2002) Integrated manufacturing-services businesses in the Australian building and construction sector. Construction Economics and Building, 2(01), 1-12.
Ng, T, Luu, D and Chen, S (2002) Decision criteria and their subjectivity in construction procurement selection. Construction Economics and Building, 2(01), 70-80.
Smallwood, J and Venter, D (2002) The influence of project managers on construction health and safety in South Africa. Construction Economics and Building, 2(01), 57-69.
Soetanto, R and Proverbs, D (2002) Modelling client satisfaction levels: the impact of contractor performance. Construction Economics and Building, 2(01), 13-27.
- Type: Journal Article
- Keywords: Contractor performance; client satisfaction; multiple regression; construction
- ISBN/ISSN: 1445-2634
- URL: https://doi.org/10.5130/AJCEB.v2i1.2883
- Abstract:
The performance of contractors is known to be a key determinant of client satisfaction.Here, using factor analysis, clients’ satisfaction is defined in several dimensions. Based onclients’ assessment of contractor performance, a number of satisfaction models developedusing the multiple regression (MR) technique are presented. The models identify arange of variables encompassing contractor performance, project performance and respondent(i.e. client) attributes as useful predictors of satisfaction levels. Contractor performanceattributes were found to be of utmost importance indicating that clientsatisfaction levels are mainly dependent on the performance of the contractor. Furthermore,findings suggest that subjectivity is to some extent prevalent in clients’ performanceassessment. The models demonstrate accurate and reliable predictive power as confirmedby validation tests. Contractors could use the models to help improve their performanceleading to more satisfied clients. This would also promote the development ofharmonious working relationships within the construction project coalition.