Regression analysis of the influence of demographic characteristics using risk management practices within South African small and medium construction enterprises

Abstract

Purpose Demographics are perceived to influence risk management practices (RMPs) in construction. However, empirical evidence supporting this perception is lacking in the South African Construction Industry (SACI), especially within small and medium enterprises (SMEs). This study, therefore, aims to investigate the influence of demographic characteristics on RMPs. Design/methodology/approach This study followed a positivist research philosophy, using a questionnaire survey for data collection. In total, 225 questionnaires were distributed, of which 187 were returned from conveniently sampled respondents, which included owners and senior managers of construction SMEs organizations in Gauteng province in South Africa (SA). In total, 181 questionnaires were usable, yielding a response rate of 80.44%. Data from the survey were analyzed using descriptive and inferential statistics i.e. multiple regression analysis (MRA). The outputs were represented using percent and regression coefficients values, respectively. Findings In total, 42 practices were established from the literature review and grouped into 9 major RMPs. The data analysis suggested that understanding the organizational environment, defining objectives, resource requirements, risk measurement, risk identification, risk assessment, risk response and action planning, communication and monitoring and review are reliable and valid practices. Findings from MRA established that demographic characteristics i.e. experience in the construction industry (CI), education level and the number of employees in the organization are not good predictors to determine the use of RMPs. Research limitations/implications The study was limited to the data acquired from the SACI and to a lesser extent, construction SMEs in Gauteng. Therefore, the findings cannot be generalized to all SMEs in SA. Though neighboring and developing countries can use the RMPs identified in this study, the results cannot be directly used in developed countries without adequate substantiation. Practical implications The current study provides useful information to assist construction organizations to pay more attention to risk management implementation. The RMPs established in this paper are reliable and valid in projects undertaken by SMEs, and therefore, may be used by top management and/or the risk task team of these enterprises for effective project risk management. Originality/value The study presents findings of an investigation of the influence of demographics on RMPs from the perspectives of construction SMEs, an area less explored. This work advances knowledge of RMPs in the SME sector. It, therefore, adds value to researchers and industry practitioners on the theme where no agreement has been attained relating to key factors and practices that should constitute a risk management model.