Critical success factors and performance of completed construction projects at National Social Security Fund, Nairobi City County, Kenya

Author:

Khisa InviolataORCID,Mutuku Morrisson KaundaORCID

Abstract

This paper aims to examine the effect of selected factors that link to completion of NSSF construction projects and how they are influenced by the various critical factors. The main objective was to establish the critical success factors and their effects on performance of construction projects. Four theories namely Game theory, Principal-Agent theory, Construction Management, and Soft Value Management (SVM) theory served as the foundation for this research.  Descriptive research design was employed for data collection, analysis, presentation and interpretation.The target population was 512 stakeholders from six complete commercial and residential projects. Purposive sampling was used to select 84 participants for the study. Semi-structured questionnaires were used in the study to collect data. The data was analyzed using SPSS whereby descriptive and inferential statistics were used. The results show that the R-square value was 0.282 and R was 0.531. An analysis of variance (ANOVA) was significant at p=0.001 with an F statistic of 9.961 indicating that the model used was fit for the data. The data also revealed that client variations (p= 0.05), financial availability (p = 0.047), and construction disputes (p = 0.001) are statistically significant determinants affecting the performance of NSSF construction projects. The main findings of the study demonstrate that the key critical success factors used in this study affected the performance of NSSF-completed construction projects either positively or negatively. The study recommends that companies should adhere to the principles that safeguard project management to adequately manage the critical factors and ultimately minimize project delays.

Publisher

Center for Strategic Studies in Business and Finance SSBFNET

Subject

General Earth and Planetary Sciences,General Environmental Science

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