Renault, B Y; Agumba, J N and Ansary, N (2020) Correlation analysis between risk measurement and project success of small and medium contractors in Gauteng, South Africa. Journal of Construction Business and Management, 4(2), pp. 34-45. ISSN 2521-0165
Abstract
Risk measurement (RM) and construction project success (PS) are closely related. Preceding studies highlight the importance of RM in the management of risks without revealing its effect on PS. This study aims to determine the influence of RM on the PS of small and medium enterprises (SMEs). A positivist research design was applied using a survey questionnaire circulated to 181 respondents in Gauteng, South Africa (SA). Raw data analysed using inferential statistics extracted one-component solution and evinced statistical significance (ρ = 0.000-0.05) between RM and PS. In particular, results revealed that RM significantly influences PS of construction SMEs through delimiting the RM criteria to be adopted, establishing the level of acceptable risk and risk timeframe relevant to risk effect and risk likelihood. It is suggested that the management of SMEs and industry professionals involved in risk management should adopt RM for the management of their project risks to accomplish project objectives effectively. The study renders new empirical evidence of risk management factors that influence PS of SMEs in the context of SA. It remains to be seen whether the current finding could be replicated in other datasets. If indeed that is the case, then this article expands to the discourse and literature on RM of SMEs. However, the current findings cannot be generalised due to the restrictions pertaining to the geographical area and respondents.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | contractor; correlation analysis; factor analysis; project success; questionnaire survey; risk management; small and medium-sized enterprises |
| Index terms: | project success, research design, correlation analysis, risk management factor, risk management, factor analysis, statistics, survey, construction project, questionnaire, evidence, dataset, South Africa |
| Subjects: | risk assessment, evaluation and assessment methods, data collection methods, research design and methodology, mathematical modelling, statistical analysis, environmental hazards, data management, Geography, production management, project management theory and practice |
| Topics: | Digital Applications, Geographical Context, Project Management, Research Practice, Risk Management, Sustainability |
| Descriptive scope: | 4 PCEA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here