Search results

Increased construction risk due to the complexity and numerous construction performance challenges requires improved construction project managers’ competence. However, contextual interrogation of these competencies is limited. This paper aims to report on a study that sought to determine the expected competencies of construction project managers and assesses the existence of statistically significant differences due to gender, designation and educational levels of respondents.

A quantitative research design was instituted through the administration of a questionnaire survey on Project Managers, Architects, Engineers and Quantity surveyors working for consultants and contractors’ organizations. Descriptive and inferential statistics analysed significant differences due to demographic variables. Factor analysis was also used to reveal interrelated significant sets of competencies expected of construction project managers.

Factor analysis determined 11 significant components with the highest-ranked components comprising organizational savvy and experience in managing project constraints. The univariate analysis determining effective communication, leadership and good team-building skills as being the three most critical expected competencies. Significant differences due to educational levels were established, with shortcomings existing in those with Diplomas.

The higher education institutions need to establish curricula designs that align with the competency expectations. Mentorship programmes within construction organizations can also be significant in bridging the existing competence gap. However, due to the exploratory nature of the study, the insights of clients were not considered.

The study determined competencies for construction project managers and demographic-specific interventions.

The purpose of this study was to investigate the perceptions of construction professionals relative to factors that affect the delivery of optimum health and safety (H&S) on construction projects during the COVID-19 pandemic.

The study adopted a quantitative design which entailed the distribution of a web-based questionnaire among construction professionals, namely, architects, construction/project managers, engineers, H&S managers and quantity surveyors working for contractors and construction consultants in Zimbabwe. The data were analysed with descriptive and inferential statistics. Factor analysis was used to reveal interrelated significant sets of factors affecting the delivery of optimum H&S.

Factor analysis revealed nine components/factors: change and innovation-related, monitoring and enforcement-related, production-related, access to information and health service-related, on-site facilities and welfare-related, risk assessment and mitigation-related, job security and funding-related, cost-related and COVID-19 risk perception-related factors as the significant factors affecting the delivery of optimum H&S during the COVID-19 pandemic in Zimbabwe.

The results highlighted the need for social dialogue among construction stakeholders to support initiatives that will enhance the delivery of H&S on construction projects. Construction stakeholders may find the results useful in highlighting the areas that need improvement to protect workers’ H&S during the pandemic. However, the small sample limits the generalisability of the results to construction sectors in other regions.

The study investigated factors affecting the delivery of optimum H&S during the COVID-19 to inform interventions to enhance H&S.

Increased waste during projects execution has led to time and cost overruns within the Zimbabwean construction projects industry. However, contextual barriers to lean construction implementation are yet to be established for derivation of effective remedies. The purpose of this paper is to report on a study that sought to determine barriers to lean construction implementation and assess the existence of statistically significant differences because of gender, designation and educational levels of respondents.

A questionnaire survey was administered on construction professionals for the collection of quantitative data. Factor analysis was used to reveal interrelated significant sets of barriers to lean construction implementation. Non-parametric statistical methods were also used to determine significant differences because of demographic variables.

Integration- and performance-related, human capital management–related, quality management–related barriers were determined as the highest-ranked of the nine significant components. Significant differences because of gender, designation and educational levels were non-existent for aggregated barriers, generally indicating consensus on the barriers. However, individual barriers showed inadequacies in management requirements for lean construction implementation from architects and those with diplomas and degrees.

The determination of barriers establishes the knowledge for construction policy evaluation for enhanced performance of the construction industry. However, because of the exploratory nature of this study, the insights of clients were not considered.

Context-specific barriers to lean construction implementation were determined for consequent construction policy improvements in the construction industry.

Sustainable construction deficits are common in developing economies, and resolutions are constrained by the failure to prioritise the plethora of available indicators. This study aims to report on overlapping indicators for benchmarking sustainable construction for construction organisations.

Online survey data were collected from construction professionals, academics and senior managers in government bodies. Pearson chi-squared tests and overlapping analysis were used to determine significant indicators. Kruskal–Wallis tests were used to determine statistically significant differences among the dimensions.

Overlapping analysis determined indicators significant for economic, environmental and social performance. Environmental protection and reporting (pollution and emissions) were significant for all three performance dimensions. The most significant indicators are economic performance (adequate competence of key project staff), environmental performance (environmental protection and reporting – pollution and emissions) and social performance (adequate sustainability expenditure by construction organisations). Significant differences due to dimensions existed for adequate competence of key project staff, sustainable construction and eco-design, adequate governance and organisational excellence of construction projects and satisfactory workers’ morale.

Determining overlapping indicators enables prioritised implementation that ensures sustainable construction. Excluding construction workers was a significant limitation for a holistic interrogation.

To the best of the authors’ knowledge, this is the first study to determine overlapping indicators for sustainable construction performance in Zimbabwe.