Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/222539
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dc.titleTHE IMPACT OF BUILDING INFORMATION MODELLING (BIM) ON KEY PERFORMANCE INDICATORS (KPIS) OF SINGAPORE CONSTRUCTION INDUSTRY
dc.contributor.authorTHIA CHIONG WEI
dc.date.accessioned2013-06-06T07:28:27Z
dc.date.accessioned2022-04-22T18:09:48Z
dc.date.available2019-09-26T14:14:06Z
dc.date.available2022-04-22T18:09:48Z
dc.date.issued2013-06-06
dc.identifier.citationTHIA CHIONG WEI (2013-06-06). THE IMPACT OF BUILDING INFORMATION MODELLING (BIM) ON KEY PERFORMANCE INDICATORS (KPIS) OF SINGAPORE CONSTRUCTION INDUSTRY. ScholarBank@NUS Repository.
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/222539
dc.description.abstractBuilding Information Modelling (BIM) is one trend that is gaining momentum in the construction industry. It is well known as a panacea for many problems that have persisted in the construction industry. However, unlike other countries such as the United States (U.S.) and the United Kingdom (UK), the adoption rate of BIM in Singapore is slow. Only 39% of the construction firms in Singapore have adopted BIM to-date. This suggests that scepticism regarding the implementation of BIM still exists in the Singapore construction industry. One reason for the slow adoption could be due to the lack of industry-standard method to evaluate the Return on Investment (ROI) of BIM. In order to showcase the benefits of BIM, this dissertation aims to evaluate the impact of BIM on 11 project Key Performance Indicators (KPIs) at different key stages of a construction project. In addition, the relationship between project KPIs and ROI of BIM will be examined as well. Survey questionnaire results from 37 respondents as well as interviews with the industry professionals formed the main research methodologies for this study. Statistical tools such as the Mean Value Ranking, One Sample t-test and Spearman’s Rank Correlation Coefficient test were conducted to validate the six hypotheses made in this study. The overall results show that BIM is able to improve project KPIs at all stages of a construction project thus benefitting the construction industry as a whole. There is also a significant relationship between the identified KPIs and ROI of BIM which enables the derivation of the BIM ROI Index (BRI) and the framework in the later stage of this study.
dc.language.isoen
dc.sourcehttps://lib.sde.nus.edu.sg/dspace/handle/sde/2335
dc.subjectBuilding
dc.subjectPFM
dc.subjectProject and Facilities Management
dc.subjectTeo Ai Lin Evelyn
dc.subject2012/2013 PFM
dc.subjectBIM
dc.subjectKPIs
dc.subjectBuilding information modelling
dc.subjectKey performance indicators
dc.subjectReturn on investment
dc.subjectROI
dc.typeDissertation
dc.contributor.departmentBUILDING
dc.contributor.supervisorTEO AI LIN EVELYN
dc.description.degreeBachelor's
dc.description.degreeconferredBACHELOR OF SCIENCE (PROJECT AND FACILITIES MANAGEMENT)
dc.embargo.terms2013-06-07
Appears in Collections:Bachelor's Theses

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