Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/121273
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dc.contributorDepartment of Construction Management and Intelligence-
dc.creatorZhang, J-
dc.creatorDu, Q-
dc.creatorYang, Z-
dc.creatorZhang, Z-
dc.date.accessioned2026-09-21T06:06:51Z-
dc.date.available2026-09-21T06:06:51Z-
dc.identifier.urihttp://hdl.handle.net/10397/121273-
dc.language.isoenen_US
dc.publisherMDPI AGen_US
dc.rightsCopyright: © 2026 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).en_US
dc.rightsThe following publication Zhang, J., Du, Q., Yang, Z., & Zhang, Z. (2026). Unveiling the Key Drivers of Transaction Costs in Modular Integrated Construction: A Meta-Analysis. Buildings, 16(5), 1051 is available at https://doi.org/10.3390/buildings16051051.en_US
dc.subjectMeta-analysisen_US
dc.subjectModular integrated constructionen_US
dc.subjectSystematic reviewen_US
dc.subjectTransaction costen_US
dc.titleUnveiling the key drivers of transaction costs in modular integrated construction : a meta-analysisen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume16-
dc.identifier.issue5-
dc.identifier.doi10.3390/buildings16051051-
dcterms.abstractDespite its recognized advantages in sustainability and efficiency, the widespread adoption of Modular Integrated Construction (MiC) is impeded by transaction costs (TCs). While previous studies have cataloged numerous barriers, a systematic, quantitative synthesis of their relative impact on TCs is lacking. This study bridges this gap by conducting a hybrid systematic review and meta-analysis of 37 empirical studies (2005–2025) to identify and rank the key drivers of TCs in MiC. Grounded in Transaction Cost Economics, 32 factors were categorized into transaction attributes, the transaction environment, and stakeholder-related aspects. The meta-analysis quantified the pooled effect sizes, revealing that operational and procedural hurdles—specifically “Poor Logistics,” “Design Change,” and “Insufficient Quality Inspection Standards and Regulations”—are the most critical determinants. A key finding is the divergence between the most frequently cited barriers and those with the highest impact, underscoring the value of meta-analytic synthesis over simple frequency counts. Subgroup analyses further indicated that the severity of institutional and regulatory drivers is more pronounced in developing economies. This research provides a novel, evidence-based framework for stakeholders to develop and prioritize mitigation strategies, advocating for investments in integrated digital tools, rigorous front-end planning, and context-sensitive policy development to reduce transactional inefficiencies and promote MiC adoption.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationBuildings, Mar. 2026, v. 16, no. 5, 1051-
dcterms.isPartOfBuildings-
dcterms.issued2026-03-
dc.identifier.scopus2-s2.0-105032727933-
dc.identifier.eissn2075-5309-
dc.identifier.artn1051-
dc.description.validate202609 bcch-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOSen_US
dc.description.fundingSourceSelf-fundeden_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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