Abstract

Over the last decades, numerous automated compliance checking (ACC) systems have been developed. However, ACC is still not broadly used in the architecture, engineering, and construction (AEC) industry today; little is known as to how ACC can be better accepted by the end users. This paper reports on a multicase study to learn valuable lessons from recent attempts to adopt ACC systems worldwide. Firstly, 18 semistructured interviews were conducted with 20 experts from eight countries, and supplementary data (e.g., documents, product information, and literature) related to each case were collected. Secondly, the interview and supplementary data were then coded to develop prominent themes. Thirdly, through a cross-case analysis, the 12 most determining variables that could influence the ACC adoption were identified. Three path models that explain the interrelationships between these variables and 10 propositions that can guide future ACC adoption were deduced. The results indicate that the government should play an important role to facilitate ACC adoption through funding, policies, and incentives. This study also provides valuable information to software vendors for delivering ACC systems that meet the needs of the industry, and for innovation managers in the industry to develop appropriate adoption plans for the ACC technology.

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Data Availability Statement

Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.

Acknowledgments

The project is funded by the New Zealand Building Research Levy (Contract No. LR12046). The authors are grateful to the experts involved in this study for their valuable time and contribution. The authors would also like to thank Yuqing Wu and Sze Nga Hung for assisting with the data collection and analysis in this study. The authors want to express their gratitude to editors and reviewers for their valuable comments and feedback.

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Journal of Management in Engineering
Volume 39Issue 4July 2023

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Received: Apr 27, 2022
Accepted: Feb 1, 2023
Published online: May 5, 2023
Published in print: Jul 1, 2023
Discussion open until: Oct 5, 2023

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Dept. of Civil and Environmental Engineering, Univ. of Auckland, 20 Symonds St., Auckland 1010, New Zealand (corresponding author). ORCID: https://orcid.org/0000-0001-6150-6126. Email: [email protected]
Brian H. W. Guo, Ph.D. [email protected]
Dept. of Civil and Natural Resources Engineering, Univ. of Canterbury, 69 Creyke Rd., Christchurch 8041, New Zealand. Email: [email protected]
Eleni Papadonikolaki, Ph.D. [email protected]
Bartlett School of Sustainable Construction, Univ. College London, 1-19 Torrington Pl., London WC1E 7HB, UK. Email: [email protected]
Codify Asset Solutions (CAS) Ltd., Auckland 1010, New Zealand. ORCID: https://orcid.org/0000-0002-0004-1131. Email: [email protected]
School of Engineering, RMIT Univ., GPO Box 2476, Melbourne, VIC 3001, Australia. ORCID: https://orcid.org/0000-0002-5503-414X. Email: [email protected]

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