Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/222539
Title: THE IMPACT OF BUILDING INFORMATION MODELLING (BIM) ON KEY PERFORMANCE INDICATORS (KPIS) OF SINGAPORE CONSTRUCTION INDUSTRY
Authors: THIA CHIONG WEI
Keywords: Building
PFM
Project and Facilities Management
Teo Ai Lin Evelyn
2012/2013 PFM
BIM
KPIs
Building information modelling
Key performance indicators
Return on investment
ROI
Issue Date: 6-Jun-2013
Citation: THIA CHIONG WEI (2013-06-06). THE IMPACT OF BUILDING INFORMATION MODELLING (BIM) ON KEY PERFORMANCE INDICATORS (KPIS) OF SINGAPORE CONSTRUCTION INDUSTRY. ScholarBank@NUS Repository.
Abstract: Building 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.
URI: https://scholarbank.nus.edu.sg/handle/10635/222539
Appears in Collections:Bachelor's Theses

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