Moyo, T (2020) Integrating sustainability dimensions into construction labour productivity determinants in Zimbabwe. PhD thesis, Nelson Mandela University, South Africa.
Abstract
Low construction labour productivity and inadequate welfare of construction workers is a compound challenge in Zimbabwe. This challenge is due to shortcomings situated in the Decent Work Agenda. Whilst a plethora of contributory factors exists, those that affect the Zimbabwean construction industry were identified for interrogation. Therefore, the study aimed to improve and sustain construction labour productivity in Zimbabwe through fulfilling significant decent work substantive elements, in consideration of demographic variables of stakeholders. A cross-sectional survey research strategy was utilised with quantitative data being collected from selected respondents through the use of questionnaires. The population for the study consisted of randomly selected construction companies registered with the Construction Industry Federation of Zimbabwe and based in Harare, Bulawayo and Shurugwi where site managers’/project managers’ participated. Construction skilled and semi-skilled workers on thirteen (13) construction sites, situated within the same study area, participated in the study. Educators from technical and vocational training institutions and respondents from relevant regulatory bodies were also selected to participate in the study. Quantitative data analysis methods which included Pearson chi-squared tests, Mann-Whitney U tests; Kruskal-Wallis tests, Pearson bivariate correlation method and Regression analysis were utilised. Demographic variables (age, gender, designation, educational levels and experience) were utilised to determine the existence of statistically significant differences in respondents’ perceptions. Construction companies are encouraged to implement corporate social responsibility strategies through equipping workers of different educational levels with knowledge and skills that can be transferred to and benefit themselves and their communities. Adequately trained construction workers best serve their communities through improving their livelihoods, improved safety and health consciousness and quality workmanship. People centred management aspects were found to be fundamental within construction sites as they promote the welfare of workers and should precede any productivity improvement drives. Technical and vocational training institutions need to inculcate sustainability learning objectives within their curricula if any meaning strides in enhancing welfare and productivity of workers is to be achieved. Also, establishing structured on-the-job training that incorporates sustainability learning objectives to achieve workers’ safety on sites is essential. There was a consensus that working conditions must ensure the welfare of workers first before any productivity gains can be realised. Provision of acceptable decent working conditions for different designations and educational levels was encouraged. A comprehensive model was developed for sustaining construction labour productivity that included statistically significant regression models and derived statistically significant demographics from construction labour productivity determinants under study. Validation of the regression models was undertaken through cross-validation and comparison with existing theory. Tenable labour productivity performance measurement and reporting must be inclusive of decent work accomplishments. Short-term interventions that include awareness campaigns and provision of adequate working conditions are required for project-based resolutions whilst, long-term interventions are required where structural reforms within the training of skilled, semi-skilled workers and managers are required, for continuous improvement.
| Item Type: | Thesis (Doctoral) |
|---|---|
| Uncontrolled Keywords: | corporate social responsibility; gender; measurement; population; skills; sustainability; working conditions; construction labour; learning; safety; training; workmanship; Zimbabwe; labour productivity; productivity; regression analysis; construction site; construction worker; site manager; stakeholder; regression model |
| Index terms: | demographic variable, population, site manager, contributory factor, regression analysis, strategy, construction labour, questionnaire, construction company, construction site, data analysis, performance measurement, productivity, construction worker, continuous improvement, consciousness, skilled worker, workmanship, Zimbabwe, meaning, validation, working conditions, determinant, project manager, demographics, regression model, corporate social responsibility, labour productivity, resolution, survey, dimension, manager, construction industry, vocational training |
| Subjects: | employment law, professional development, data collection methods, health safety and environment, profession, management, risk assessment, performance measurement, statistical analysis, Geography, contractual condition, data analysis and analytics, demography, organization, work location, health monitoring assessment and metrics, practitioner, sociology, industry analysis, conflict resolution, human factors and perception |
| Topics: | Health and Safety, Quality Management, Research Practice, Legal Issues, Site Management, Risk Management, Stakeholder Management, Urban Studies, Education, Information Management, Geographical Context, Business Strategy, Human Resources, Contract Administration, Roles and Professions |
| Descriptive scope: | 5 PCTEA |
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