Tambwe, O T; Aigbavboa, C O and Akinradewo, O (2025) Benefits of construction data risks management in the construction industry. Journal of Engineering, Design and Technology, 23(2), pp. 458-476. ISSN 1726-0531
Abstract
Purpose: Data represents a critical resource that enables construction companies' success; thus, its management is very important. The purpose of this study is to assess the benefits of construction data risks management (DRM) in the construction industry (CI). Design/methodology/approach: This study adopted a quantitative method and collected data from various South African construction professionals with the aid of an e-questionnaire. These professionals involve electrical engineers, quantity surveyors, architects and mechanical, as well as civil engineers involved under a firm, or organisation within the province of Gauteng, South Africa. Standard deviation, mean item score, non-parametric Kruskal–Wallis H test and exploratory factor analysis were used to analyse the retrieved data. Findings: The findings revealed that DRM enhances project and company data availability, promotes confidentiality and enhances integrity, which are the primary benefits of DRM that enable the success of project delivery. Research limitations/implications: The research was carried out only in the province of Gauteng due to COVID-19 travel limitations. Practical implications: The construction companies will have their data permanently in their possession and no interruption will be seen due to data unavailability, which, in turn, will allow long-term and overall pleasant project outcomes. Originality/value: This study seeks to address the benefits of DRM in the CI to give additional knowledge on risk management within the built environment to promote success in every project.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | construction industry; data management; data risks |
| Index terms: | project delivery, construction industry, risk management, built environment, architect, construction professional, project outcome, deviation, data management, integrity, electrical engineer, quantity surveying, South Africa, quantitative method, questionnaire, confidentiality, methodology, civil engineer, construction company, exploratory factor analysis, COVID-19 |
| Subjects: | infrastructure and transport systems, industry analysis, statistical analysis, data management, professional development, health risk and incident analysis, data analysis and analytics, project delivery, financial and cost management, data collection methods, profession, risk assessment, professional ethics, Geography, health safety and environment, research methods, project completion, organization |
| Topics: | Business Strategy, Cost Management, Information Management, Research Practice, Roles and Professions, Digital Applications, Urban Studies, Health and Safety, Geographical Context, Project Management, Risk Management, Procurement, Legal Issues |
| Descriptive scope: | 4 PCTA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here