Publication:
Assessment of Risk Factors Causing Delays in Building Construction Project in Cambodia

dc.contributor.authorWasaporn Techapeeraparnichen_US
dc.contributor.authorSopheaknichhai Thengen_US
dc.contributor.otherMahidol Universityen_US
dc.date.accessioned2022-08-04T08:26:19Z
dc.date.available2022-08-04T08:26:19Z
dc.date.issued2021-06-04en_US
dc.description.abstractThis research aims to identify, investigate, rank, and mitigate delay factors perceived to affect private financed residential building construction project in Phnom Penh city, Cambodia in order to recommend actions of how to deal with such delays. To identify and rank delay factors, a questionnaire survey that matches the research preference was conducted. The first round of data collection showed the delay factors ranking through the Relative Importance Index (RII) method. The top ten (10) most critical delay factors were mitigated in the second round of data collection with recommended actions proposed by experts using the Delphi Technique and the Failure Mode and Effect Analysis (FMEA) method. The study results revealed the critical delay factors and their possible solutions. The list of delays affecting private financed building construction project in Cambodia was mainly dominated by the factors related to labor and material.en_US
dc.identifier.citationACM International Conference Proceeding Series. (2021), 187-194en_US
dc.identifier.doi10.1145/3473141.3473247en_US
dc.identifier.other2-s2.0-85117401853en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/20.500.14594/76641
dc.rightsMahidol Universityen_US
dc.rights.holderSCOPUSen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85117401853&origin=inwarden_US
dc.subjectComputer Scienceen_US
dc.titleAssessment of Risk Factors Causing Delays in Building Construction Project in Cambodiaen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85117401853&origin=inwarden_US

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