Knowledge-informed technology-enabled asset management and compliance assurance in construction: A systematic grey literature review

Alsaffar, Alhadi ORCID: https://orcid.org/0009-0000-5262-2440, Beach, Tom ORCID: https://orcid.org/0000-0001-5610-8027 and Rezgui, Yacine ORCID: https://orcid.org/0000-0002-5711-8400 2026. Knowledge-informed technology-enabled asset management and compliance assurance in construction: A systematic grey literature review. Buildings 16 (7) , 1434. 10.3390/buildings16071434

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Abstract

Digital transformation is reshaping construction asset compliance, but fragmented information and weak evidence trails still constrain effective management. This systematic grey literature review (2014–2025) identifies technologies supporting asset management and compliance assurance and compares adoption maturity across the United Kingdom (UK), the United States (US), Singapore, and the Gulf Cooperation Council (GCC). Using multi-channel search strategies and the AACODS appraisal (Authority, Accuracy, Coverage, Objectivity, Date, Significance), 131 records were identified; 92 full texts reviewed; 82 eligible; and 43 sources retained. Coding identified a recurring five-technology “core digital stack”: Building Information Modelling (BIM), Digital Twins (DT), Internet of Things (IoT), Artificial Intelligence/Machine Learning (AI/ML), and Blockchain (BC). Within the retained corpus, BIM and AI/ML were the most frequently referenced technologies, whereas BC was referenced more selectively and discussed mainly for tamper-evident traceability. DT and IoT were typically discussed alongside BIM, while IoT also frequently co-occurred with AI/ML in analytics-led compliance workflows. A (Region × Technology) maturity matrix suggests higher, policy-led maturity where mandates and audit-ready information align with national frameworks (UK, Singapore), and more uneven, project-led adoption in decentralised contexts (US, GCC). Overall, the findings emphasise that effective compliance relies on integrated, evidence-focused digital stacks supported by standardised information governance rather than isolated tools.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Schools > Engineering
Publisher:	MDPI
Date of First Compliant Deposit:	8 April 2026
Date of Acceptance:	1 April 2026
Last Modified:	08 Apr 2026 09:15
URI:	https://orca.cardiff.ac.uk/id/eprint/186259

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