Skilled labour shortages in construction contractors : a literature review

The aim of this study is to determine the causes of technical skilled labour shortages in the construction sector. Furthermore the study seeks to identify current interventions; the impact of skills shortages and also the problems the construction companies are facing in addressing these shortages

A critical evaluation of large scale development projects and programmes in South Africa

Paper presented at the Wits History Workshop: Forging the links between historical research and the policy process, 18-19 September 1999.South Arica needs employment-intensive infrastructure programmes in order to create jobs. Local needs and communities ideas must be taken into account. Quality and cost effectiveness should not be compromised. The supervisors should be technically and organisationally competent. Sustainable finance and a reliable political will to see the projects though are essential

Selection of procurement systems in the South African construction industry : an exploratory study

Purpose of this paper: Procurement systems are vital in ensuring the successful implementation of construction projects precisely in all the phases of any particular project. Therefore, this paper aims to investigate in a systematic manner the factors that influence the selection of a procurement system in the South African construction industry. Research methodology: An extensive theory and literature review of procurement systems was conducted. The literature reviewed included a sample of case studies of procurement systems successfully implemented in completed building and civil engineering projects in South Africa. A questionnaire using a four-round Delphi survey method was used to conduct the empirical study in order to obtain participants' opinions about factors influencing the selection of procurement systems as well as the utility value of various procurement systems on each factor as identified. Finally, data analysis of both qualitative and quantitative techniques was performed using the Statistical Package for Social Sciences (SPSS). Findings: After qualitative analysis, findings of the literature reviewed suggest that factors that influence the selection of procurement systems cut across all the phases of the project as identified in this paper. Therefore, these factors are categorically classified into internal and external factors. Factors from the internal environment were further classified into client characteristics and project characteristics, with client characteristics comprising of variables such as clients' level of knowledge and control, political and social consideration, familiarity of procurement systems, competition, funding arrangement, government public/private sector projects and risk allocation whereas project characteristics comprise of factors (variables) such as size and technical complexity of the project, influence of the project life cycle, expedited project delivery, time, quality and price certainty. Factors from the external environment include variables such as market competition, information technology, regulatory environment, natural causes and globalisation. Research limitations: In terms of its scope this study focused on both national and international literature reviews and the empirical survey of this study was conducted within South Africa. Its target participants were limited to civil engineers, quantity surveyors, construction/project managers, architects and contractors located in three provinces of South Africa, namely Gauteng, Mpumalanga and Limpopo Provinces. Value: This study investigates factors that influence the selection of procurement systems in South Africa for the purpose of assisting and guiding construction practitioners in selecting suitable procurement systems for their planned projects. Conclusion: This study demonstrated that due to changes in the construction industry both factors from the internal and external environments such as size and complexity of construction projects, macro and micro economic conditions, political and social and information technology prevailing, traditional procurement method need to be supplemented with contemporary procurement systems in order to meet the new demands of the industry

Using neural network model to estimate the rental price of residential properties

Purpose: Estimation of the rental price of a residential property is important to real estate investors, financial institutions, buyers and the government. These estimates provide information for assessing the economic viability and the tax accruable, respectively. The purpose of this study is to develop a neural network model for estimating the rental prices of residential properties in Cape Town, South Africa. Design/methodology/approach: Data were collected on 14 property attributes and the rental prices were collected from relevant sources. The neural network algorithm was used for model estimation and validation. The data relating to 286 residential properties were collected in 2018. Findings: The results show that the predictive accuracy of the developed neural network model is 78.95 per cent. Based on the sensitivity analysis of the model, it was revealed that balcony and floor area have the most significant impact on the rental price of residential properties. However, parking type and swimming pool had the least impact on rental price. Also, the availability of garden and proximity of police station had a low impact on rental price when compared to balcony. Practical implications: In the light of these results, the developed neural network model could be used to estimate rental price for taxation. Also, the significant variables identified need to be included in the designs of new residential homes and this would ensure optimal returns to the investors. Originality/value: A number of studies have shown that crime influences the value of residential properties. However, to the best of the authors’ knowledge, there is limited research investigating this relationship within the South African context