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Abdolrezaei, H, Siahkali, H and Olamaei, J (2021) Coordination of similar days and multi-objective posterior process to predict energy of transmission substation. Journal of Engineering, Design and Technology, 19(6), 1556-85.

Chellappa, V, Srivastava, V and Salve, U R (2021) A systematic review of construction workers' health and safety research in India. Journal of Engineering, Design and Technology, 19(6), 1488-504.

Eken, T Y, Sarioglu, C and Kucuk, I (2021) Corrosion behaviour of twin-roll cast 8006 aluminium alloy foil with different thicknesses for the food packaging industry. Journal of Engineering, Design and Technology, 19(6), 1421-32.

Evans, M, Farrell, P, Zewein, W and Mashali, A (2021) Analysis framework for the interactions between building information modelling (BIM) and lean construction on construction mega-projects. Journal of Engineering, Design and Technology, 19(6), 1451-71.

Faraji, A (2021) Neuro-fuzzy system based model for prediction of project performance in downstream sector of petroleum industry in Iran. Journal of Engineering, Design and Technology, 19(6), 1268-90.

Heidari, A, Imani, D M and Khalilzadeh, M (2021) A hub location model in the sustainable supply chain considering customer segmentation. Journal of Engineering, Design and Technology, 19(6), 1387-420.

Hongsheng, T, Changwen, H and Chenye, G (2021) Development of a rotatable similar simulation experimental system for steep coal seam mining. Journal of Engineering, Design and Technology, 19(6), 1373-86.

Hulio, Z H, Yousufzai, G and Jiang, W (2021) Statistical analysis of wind resource and energy potential assessment of Quaidabad site, Sindh Pakistan. Journal of Engineering, Design and Technology, 19(6), 1291-316.

Mahmud, A T, Ogunlana, S O and Hong, W T (2021) Key driving factors of cost overrun in highway infrastructure projects in Nigeria: a context-based perspective. Journal of Engineering, Design and Technology, 19(6), 1530-55.

Malge, A M and Pawar, P M (2021) Wind tunnel and numerical study of multi-storey vertical axis wind turbines with different configurations. Journal of Engineering, Design and Technology, 19(6), 1358-72.

Mdibi, L, Van Zyl, R, Kosch, M and Ward, J (2021) A land-based HF transmitter for ionospheric propagation studies using SuperDARN radars. Journal of Engineering, Design and Technology, 19(6), 1648-59.

Ostakh, O, Uzyakova, E, Grechishcheva, N and Kusheeva, V (2021) Ecotoxicological assessment of soil-like mixtures made of drill cuttings. Journal of Engineering, Design and Technology, 19(6), 1433-50.

Othman, A A E and Alamoudy, F O (2021) Optimising building performance through integrating risk management and building information modelling during the design process. Journal of Engineering, Design and Technology, 19(6), 1233-67.

Pandian, A N and Palanivelu, A (2021) Metaheuristic optimization based placement of SVCs with multiple objectives. Journal of Engineering, Design and Technology, 19(6), 1586-600.

Perera, B A K S, Sirimewan, D C and Senadeera, A D (2021) Management of variations in the public-sector building construction projects in Sri Lanka. Journal of Engineering, Design and Technology, 19(6), 1601-19.

Roy, S, Majumder, S, Bhattacharya, S and Sardar, I H (2021) Simulation and analysis of the effects of room surface reflectance combinations on a proposed retrofit illumination system of an office. Journal of Engineering, Design and Technology, 19(6), 1620-47.

Sibanda, V, Mpofu, K and Trimble, J (2021) Methodology for the design of a reconfigurable guillotine shear and bending press machine (RGS&BPM). Journal of Engineering, Design and Technology, 19(6), 1317-43.

Somani, N, Singh, N and Gupta, N K (2021) Joining and characterization of SS-430 using microwave hybrid heating technique. Journal of Engineering, Design and Technology, 19(6), 1344-57.

van Tonder, P and Low, M S (2021) The effect of CO loading on the properties of normal concrete vs fly ash concrete. Journal of Engineering, Design and Technology, 19(6), 1472-87.

Yembi Renault, B, Agumba, J N and Ansary, N (2021) Regression analysis of the influence of demographic characteristics using risk management practices within South African small and medium construction enterprises. Journal of Engineering, Design and Technology, 19(6), 1505-29.

  • Type: Journal Article
  • Keywords: communication; developing countries; education; monitoring; project risk management; risk identification; risk management; SMEs; employee; owner; questionnaire survey; multiple regression; regression analysis; South Africa
  • ISBN/ISSN:
  • URL: 10.1108/JEDT-08-2020-0332
  • Abstract:
    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. 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. 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. 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. 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. 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.