Technical Papers
Apr 19, 2023

Construction Digital Technology Assimilation and Absorption Capability Using Measurement Invariance of Composite Modeling

Publication: Journal of Construction Engineering and Management
Volume 149, Issue 7

Abstract

Digital technology is evolving, and construction companies now have various choices of these technologies to implement into daily business. This has, however, resulted in a growing argument on how digital technologies can be accepted in various contexts. However, most arguments are based on technology acceptance models with the core concept of individual behaviors, which ignores the influence of other stakeholders and organizational characteristics. This paper aims to present a novel model representing the successful practice of the assimilation process for digital construction technologies that should be considered before any technology acceptance analysis. The model was tested via empirical investigation with 372 practitioners from Australia involved in building and infrastructure construction projects. Structural equation modeling, measurement invariance of composite models, and some semistructured interviews were used to test and verify the relationships between key variables of the model. The results suggest that the capability of assimilation can be enhanced by improving innovativeness and the relevant operational processes, with a t-value of >6.27. The findings show that a project’s likelihood of successful technology assimilation can also be increased if vendors are supportive and the company improves its operating performance assessment and absorption capacity. The findings clarify theoretical and practical contributions for a better understanding of critical factors of assimilation and provide a tool to potential company users for predicting the success of technology assimilation.

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Data Availability Statement

All data, models, and code generated or used during the study appear in the published article.

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Go to Journal of Construction Engineering and Management
Journal of Construction Engineering and Management
Volume 149Issue 7July 2023

History

Received: Jul 16, 2022
Accepted: Feb 3, 2023
Published online: Apr 19, 2023
Published in print: Jul 1, 2023
Discussion open until: Sep 19, 2023

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Associate Professor, School of Built Environment, Construction and Property Management, Univ. of New South Wales, Sydney, NSW 2052, Australia. ORCID: https://orcid.org/0000-0003-2568-3111. Email: [email protected]

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  • Using System Dynamics to Support Strategic Digitalization Decisions, Journal of Construction Engineering and Management, 10.1061/JCEMD4.COENG-14112, 150, 4, (2024).

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