Critical Success Factors for enhancing the Building Information Modelling implementation in building projects in Singapore

AbstractAlthough building information modelling (BIM) has been implemented in building projects in Singapore, barriers such as the duplicate efforts for designers and contractors to create models appear to exist. Thus, BIM implementation needs to be enhanced. The objectives are to identify the critical success factors (CSFs) for enhancing BIM implementation and investigate the interrelationships among these CSFs. 32 success factors were identified through a literature review and a questionnaire survey was conducted. The results indicated that 15 CSFs were identified and grouped into integration and accuracy of models (IAM), commitment and training from the management (CTM), and advantages and support of implementation (ASI) through factor analysis. The results from structural equation modelling (SEM) analysis revealed that CTM resulted in IAM and from ASI, while ASI facilitated IAM. The proposed framework indicating the CSFs and the intergroup relationships provides an in-depth understanding of BIM implem...

[1]  Richard G. Netemeyer,et al.  Scaling Procedures: Issues and Applications , 2003 .

[2]  Charles M. Eastman,et al.  BIM Handbook: A Guide to Building Information Modeling for Owners, Managers, Designers, Engineers and Contractors , 2008 .

[3]  Marko Sarstedt,et al.  An assessment of the use of partial least squares structural equation modeling in marketing research , 2012 .

[4]  Barry McAuley,et al.  BICP Global BIM Study - Lessons for Ireland’s BIM Programme , 2017 .

[5]  Marko Sarstedt,et al.  PLS-SEM: Indeed a Silver Bullet , 2011 .

[6]  M.-J. Verdecho,et al.  A multi-criteria approach for managing inter-enterprise collaborative relationships , 2012 .

[7]  Alistair G.F. Gibb,et al.  Benefit evaluation for off‐site production in construction , 2006 .

[8]  Xianggui Qu,et al.  Multivariate Data Analysis , 2007, Technometrics.

[9]  B. Price A First Course in Factor Analysis , 1993 .

[10]  Bon-Gang Hwang,et al.  Reducing Hindrances to Enterprise Risk Management Implementation in Construction Firms , 2015 .

[11]  A framework for implementing a BIM business transformation , 2012 .

[12]  R. Peterson A Meta-Analysis of Variance Accounted for and Factor Loadings in Exploratory Factor Analysis , 2000 .

[13]  Kerry London,et al.  Understanding and facilitating BIM adoption in the AEC industry , 2010 .

[14]  Debashis Kushary,et al.  Bootstrap Methods and Their Application , 2000, Technometrics.

[15]  Martin Fischer,et al.  Reshaping the Life Cycle Process with Virtual Design and Construction Methods , 2009 .

[16]  Bon-Gang Hwang,et al.  Critical success factors for enterprise risk management in Chinese construction companies , 2013 .

[17]  Weisheng Lu,et al.  Rethinking project management and exploring virtual design and construction as a potential solution , 2009 .

[18]  Pete Smith,et al.  BIM Implementation – Global Strategies☆ , 2014 .

[19]  Linda Reichwein Zientek,et al.  Book Review: Exploratory and Confirmatory Factor Analysis: Understanding Concepts and Applications , 2007 .

[20]  Burcin Becerik-Gerber,et al.  Understanding Construction Industry Experience and Attitudes toward Integrated Project Delivery , 2010 .

[21]  Dirk Cu Conradie,et al.  Building information modelling (BIM) , 2009 .

[22]  Diana Adler,et al.  Using Multivariate Statistics , 2016 .

[23]  Thomas Froese,et al.  PRACTICE NOTE Building information modelling demystified: does it make business sense to adopt BIM? , 2009, ICIT 2008.

[24]  Martin Fischer,et al.  A Simple Framework for Integrated Project Delivery , 2014 .

[25]  David K. H. Chua,et al.  Understanding the Science of Virtual Design and Construction: What It Takes to Go beyond Building Information Modeling , 2015 .

[26]  Youngsoo Jung,et al.  Building information modelling (BIM) framework for practical implementation , 2011 .

[27]  Yi-Kai Juan,et al.  Building information modeling acceptance and readiness assessment in Taiwanese architectural firms , 2016 .

[28]  George Ofori,et al.  Empirical Analysis of the Determinants of Organizational Flexibility in the Construction Business , 2011 .

[29]  B. Tabachnick,et al.  Using multivariate statistics, 5th ed. , 2007 .

[30]  Ron Wakefield,et al.  Drivers, constraints and the future of offsite manufacture in Australia , 2007 .

[31]  Hafez Salleh,et al.  Capability of Building Information Modeling Application in Quantity Surveying Practice , 2014 .

[32]  Bon-Gang Hwang,et al.  Enterprise risk management in international construction firms: drivers and hindrances , 2015 .

[33]  Peter Demian,et al.  Benefits and barriers of building information modelling , 2008 .

[34]  John Messner,et al.  Where to Focus for Successful Adoption of Building Information Modeling within Organization , 2013 .

[35]  R. Bagozzi Evaluating Structural Equation Models with Unobservable Variables and Measurement Error: A Comment , 1981 .

[36]  Farzad Khosrowshahi,et al.  Roadmap for implementation of BIM in the UK construction industry , 2012 .

[37]  Kasun Hewage,et al.  Building Information Modeling (BIM) partnering framework for public construction projects , 2013 .

[38]  Mike Kagioglou,et al.  BIM adoption and implementation for architectural practices , 2011 .

[39]  Maria João Falcão Silva,et al.  Roadmap Proposal for Implementing Building Information Modelling (BIM) in Portugal , 2016 .

[40]  Y. Ning Quantitative effects of drivers and barriers on networking strategies in public construction projects , 2014 .

[41]  Xiaolong Xue,et al.  Environmental and social challenges for urban subway construction: An empirical study in China , 2015 .

[42]  Hemanta Doloi,et al.  Rationalizing the Implementation of Web-Based Project Management Systems in Construction Projects Using PLS-SEM , 2014 .

[43]  Yacine Rezgui,et al.  A GOVERNANCE APPROACH FOR BIM MANAGEMENT ACROSS LIFECYCLE AND SUPPLY CHAINS USING MIXED-MODES OF INFORMATION DELIVERY , 2013 .

[44]  Aj Marshall-Ponting,et al.  Exploring the adoption of building information modelling (BIM) in the Malaysian construction industry : a qualitative approach , 2013 .

[45]  Marko Sarstedt,et al.  The Use of Partial Least Squares Structural Equation Modeling in Strategic Management Research: A Review of Past Practices and Recommendations for Future Applications , 2012 .

[46]  Anoop Sattineni,et al.  Coordination Guidelines for Virtual Design and Construction , 2013 .

[47]  Alistair G.F. Gibb,et al.  Re-engineering through pre-assembly: client expectations and drivers , 2003 .

[48]  Martin Fischer,et al.  Challenges and benefits of implementing virtual design and construction technologies for coordination of mechanical, electrical, and plumbing systems on a large healthcare project , 2007 .

[49]  Irtishad Ahmad,et al.  Factors Influencing Integrated Project Delivery in Publicly Owned Construction Projects: An Information Modelling Perspective , 2014 .

[50]  P. Radhakrishnan,et al.  An integrated approach to design for manufacturing and assembly based on reduction of product development time and cost , 2009 .

[51]  Albert P.C. Chan,et al.  Developing a risk assessment model for PPP projects in China — A fuzzy synthetic evaluation approach , 2010 .

[52]  Barry McAuley,et al.  BICP Global BIM Study , 2016 .

[53]  Jack C. P. Cheng,et al.  A review of the efforts and roles of the public sector for BIM adoption worldwide , 2015, J. Inf. Technol. Constr..

[54]  Aidin Nobahar Sadeghifam,et al.  Barriers to Implementation of Building Information Modeling in Scheduling and Planning Phase in Iran , 2015 .

[55]  Harvey Maylor,et al.  Rethinking Project Management , 2006 .