#4491. Big data, technology capability and construction project quality: a cross-level investigation

August 2026publication date
Proposal available till 16-05-2025
4 total number of authors per manuscript0 $

The title of the journal is available only for the authors who have already paid for
Journal’s subject area:
Architecture;
Business, Management and Accounting (all);
Building and Construction;
Civil and Structural Engineering;
Places in the authors’ list:
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More details about the manuscript: Science Citation Index Expanded or/and Social Sciences Citation Index
Abstract:
Embracing big data has been at the forefront of research for project management. Although there is a consensus that the adoption of big data has significantly positive impact on project performance, far less is known about how this innovative information technology becomes an effective driver of construction project quality improvement. This study aims to better understand the mechanism and conditions under which big data can effectively improve project quality performance. Adopting construction enterprises as samples, the theoretical framework proposed in this paper is verified by the empirical results of the two-level hierarchical linear model. The results show that big data facilitates the development of technology capability, which further produces remarkable quality performance. That is, a project teams technology capability acts as a mediator in the relationship between organizational adaptability of big data and predictive analytics and project quality performance. The value of big data in terms of quality improvement could not be determined in a vacuum. This study provides an extension of the existing big data studies and fuels the ongoing debate on its actual outcomes in project management.
Keywords:
Big data; Hierarchical linear model; Project quality; Team governance; Technology capability

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