Alsaffar, Alhadi  ORCID: https://orcid.org/0009-0000-5262-2440, Beach, Thomas and Rezgui, Yacine ORCID: https://orcid.org/0000-0002-5711-8400
2026.
Unlocking knowledge through grey literature: technology-enabled asset management in construction.
Presented at: 1st African Conference on Computing in Civil and Building Engineering (ACCCBE) and the 25th International Conference on Construction Applications of Virtual Reality (CONVR),
Cape Town, South Africa,
22 October 2025.
Published in: Skatulla, Sebastian and Dawood, Nashwan eds.
Proceedings of ACCCBE 2025 & CONVR 2025.
Lecture Notes in Civil Engineering
, vol.823
Cham, Switzerland:
Springer,
pp. 173-187.
10.1007/978-3-032-18712-3_13
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Abstract
The construction industry’s push for digital transformation has profound implications for asset management and regulatory compliance. This study presents a systematic grey literature review of 43 high-quality sources (2014–2025) to identify key technologies enabling this transformation and examines their adoption across four regions: the Gulf Cooperation Council (e.g., Kuwait), the United Kingdom, the United States, and Singapore. Five technology clusters emerged as pivotal: Building Information Modelling (BIM), Digital Twins (DT), Internet of Things (IoT) sensor networks, Blockchain (BC), and Artificial Intelligence/Machine Learning (AI/ML). The analysis reveals that government mandates and integrated strategies (notably in the UK and Singapore) lead to high maturity in adopting these technologies, whereas more fragmented or voluntary approaches (as seen in the US and parts of the GCC) result in moderate progress. The findings underscore that the successful implementation of digital tools for asset management and compliance hinges not just on technology, but also on supportive governance, standards, and organisational readiness.
| Item Type: | Conference or Workshop Item - published (Paper) |
|---|---|
| Date Type: | Publication |
| Status: | Published |
| Schools: | Schools > Engineering |
| Additional Information: | RRS applied 17/07/2026 |
| Publisher: | Springer |
| ISBN: | 9783032187116 |
| ISSN: | 2366-2557 |
| Date of First Compliant Deposit: | 17 July 2026 |
| Last Modified: | 20 Jul 2026 10:00 |
| URI: | https://orca.cardiff.ac.uk/id/eprint/188167 |
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