Risk assessment for digital transformation projects in construction Enterprises: an enhanced FMEA model

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dc.contributor.authorLi, Tangzhenhao
dc.contributor.authorYou, Jianxin
dc.contributor.authorAktas, Emel
dc.contributor.authorDong, Yongxin
dc.contributor.authorYang, Miying
dc.date.accessioned2025-03-06T10:10:34Z
dc.date.available2025-03-06T10:10:34Z
dc.date.freetoread2025-03-06
dc.date.issued2025-05-15
dc.date.pubOnline2025-02-25
dc.description.abstractThe digital transformation of the construction industry is crucial for advancing global digital economies, but it involves significant risks that require a standardized and robust assessment methodology. This paper presents an enhanced Failure Mode and Effect Analysis (FMEA) model that integrates the Multiple Attribute Border Approximation Area Comparison (MABAC) method with Grey Relational Analysis (GRA). Unlike previous approaches, this integration aligns grey relational changes with border approximation vector components, capturing both positive and negative correlations between modes. This enhances the prioritization process by distinguishing failure modes that may amplify or mitigate each other’s impact, leading to more precise risk assessments and mitigation strategies. The model also employs interval numbers instead of crisp numbers to reduce information loss from decision-making ambiguities caused by heterogeneous expert evaluations. Applied in a real-life case study, the improved model effectively accommodates biases and hesitations in expert decision-making, enhancing the accuracy and reliability of risk assessments in digital transformation projects. The findings highlight the model’s potential as a comprehensive and reliable framework for identifying, prioritizing, and mitigating risks in the digital transformation of the construction industry.
dc.description.journalNameExpert Systems with Applications
dc.identifier.citationLi T, You J, Aktas E, et al., (2025) Risk assessment for digital transformation projects in construction Enterprises: an enhanced FMEA model. Expert Systems with Applications, Volume 274, May 2025, Article number 126991
dc.identifier.elementsID565766
dc.identifier.issn0957-4174
dc.identifier.paperNo126991
dc.identifier.urihttps://doi.org/10.1016/j.eswa.2025.126991
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/23565
dc.identifier.volumeNo274
dc.languageEnglish
dc.language.isoen
dc.publisherElsevier
dc.publisher.urihttps://www.sciencedirect.com/science/article/pii/S095741742500613X?via%3Dihub
dc.relation.isreferencedbyhttps://github.com/yxdong216/RiskAssessment4DT_Construction
dc.rightsAttribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subject4005 Civil Engineering
dc.subject40 Engineering
dc.subject33 Built Environment and Design
dc.subject3302 Building
dc.subject2.2 Factors relating to the physical environment
dc.subjectGeneric health relevance
dc.subjectArtificial Intelligence & Image Processing
dc.titleRisk assessment for digital transformation projects in construction Enterprises: an enhanced FMEA model
dc.typeArticle
dcterms.dateAccepted2025-02-19

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