Challenges and drivers to data sharing among stakeholders in the South African construction industry. Issue 6 (19th August 2021)

• Record Type: Journal Article
• Authors: Ayodele, Timothy Oluwafemi; Kajimo-Shakantu, Kahilu
• Is Part Of: Journal of engineering, design and technology. Volume 20:Issue 6(2022)
• Page Start: 1698
• Page End: 1715
• Publication Date: 2021-08-19
• Subjects: Challenges -- Benefits -- Data sharing -- Fourth industrial revolution -- Construction stakeholders -- Data assemblage; Engineering -- Periodicals; Engineering design -- Periodicals; Industrial design -- Periodicals; Technology -- Periodicals; 620.005
• DOI: 10.1108/JEDT-02-2021-0074
• Languages: English
• ISSNs: 1726-0531

Abstract

Abstract : Purpose: The purpose of this paper is to examine the challenges to data sharing among construction stakeholders in the South African construction industry and also assess stakeholders' perceptions of the benefits of data sharing. Design/methodology/approach: This study is a cross-sectional survey administered via a Web-based online survey on construction professionals registered with the South African Council for the Project and Construction Management Professions (SACPCMP). The respondents rated on a five-point Likert scale the level of influence of the challenges of, and the benefits derivable from data sharing. These were analysed using descriptive and inferential statistical techniques. Findings: The results of the principal component analysis (PCA) presented a five-factor structure of the challenges to data sharing, including reporting context/framework/lack of expertise, cost considerations/clients' influences, data interoperability, stakeholders conservative attitude and personal interest/data confidentiality. These have percentage variances 17.124%, 16.929%, 13.786%, 13.353% and 12.961%, respectively. For the benefits of data sharing, the constructs were categorized into four themes, namely, optimal project decisions/stakeholders' confidence, benchmarking/ collaboration among firms, time and cost benefits and enhanced market intelligence. These have respective variances of 24.598%, 18.393%, 16.160% and 14.685%. Practical implications: It is expected that this study will provide information to stakeholders towards implementation policies and practices that could eliminate the challenges to data sharing and assemblage, thereby enhancing the level of data sharing in the construction industry. Originality/value: Given the increasing global and technological changes, it might be expected that there will be an increased appeal by construction stakeholders towards embracing data sharing and assemblage owing to the inherent benefits and value.