Building Information Modelling Penetration Factors in Malaysia

The construction industry master plan in Malaysia provides ample leverage towards information technology improvements in the construction industry. Building Information Modelling (BIM) transforms the means to which the traditionally thought method is construction is carried out. Changes occur in aspects of people, process and technology during such transformation. Information technology (IT) acceptance theories of Theory of Reasoned Action (TRA), Technology Acceptance Model (TAM), Theory of Planned Behaviour (TPB), Innovation Diffusion Theory (IDT), Decomposed Theory of Planned Behaviour (DTPB), Extension of Technology Acceptance Model (TAM2) and Unified Theory of Acceptance and Use of Technology stipulates underlining theories to accessing user perception to new systems such as BIM. This paper presents the linking paths to factors of user perceptions (people, process and technology) and how they react in strategic IT implementation and collaborative environment to fully support extensive BIM penetration in the industry. The study further extends the BIM penetration model by Enegbuma and Ali (2012). The model will aid industry practitioners to tackle the various challenges experienced with BIM implementation. Future research will focus on solidifying the proposal with data analysis.

[1]  Ricardo Jardim-Goncalves,et al.  Challenging electronic procurement in the AEC sector: A BIM-based integrated perspective , 2011 .

[2]  Mohan M. Kumaraswamy,et al.  Application of Relationally Integrated Value Networks in the Implementation of BIM for Better Life Cycle Considerations of Buildings , 2013 .

[3]  Gordon B. Davis,et al.  User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..

[4]  Graham Pervan,et al.  An investigation of factors affecting technology acceptance and use decisions by Australian allied health therapists , 2007, 2007 40th Annual Hawaii International Conference on System Sciences (HICSS'07).

[5]  A. Bandura.  Self-efficacy: toward a unifying theory of behavioral change. , 1977, Psychological review.

[6]  Detmar W. Straub,et al.  Information Technology Adoption Across Time: A Cross-Sectional Comparison of Pre-Adoption and Post-Adoption Beliefs , 1999, MIS Q..

[7]  Flavia Souza,et al.  The Brazilian Design Manager role and responsibilities after the BIM process introduction , 2013 .

[8]  M. Porter,et al.  How Information Gives You Competitive Advantage , 1985 .

[9]  S. Chaiken,et al.  The psychology of attitudes. , 1993 .

[10]  Icek Ajzen,et al.  From Intentions to Actions: A Theory of Planned Behavior , 1985 .

[11]  Napaporn Kripanont,et al.  Examining a technology acceptance model of internet usage by academics within Thai business schools , 2007 .

[12]  M. Conner,et al.  Efficacy of the Theory of Planned Behaviour: a meta-analytic review. , 2001, The British journal of social psychology.

[13]  Peter A. Todd,et al.  Assessing IT usage: the role of prior experience , 1995 .

[14]  Yusuf Arayici.  Building information modelling , 2015 .

[15]  Karen Renaud,et al.  Distance Education as enabler in crossing the digital divide : will the Phoenix fly? , 2009 .

[16]  Fred D. Davis.  A technology acceptance model for empirically testing new end-user information systems : theory and results , 1985 .

[17]  Robert Amor,et al.  Automated Building Code Compliance Checking – Where is it at? , 2013 .

[18]  W StraubDetmar,et al.  Information technology adoption across time , 1999 .

[19]  E. Rogers.  Diffusion of Innovations , 1962 .

[20]  Abid Nadeem,et al.  Government roles in implementing building information modelling systems , 2011 .

[21]  R. Anthony,et al.  Planning and Control Systems: A Framework for Analysis , 1965 .

[22]  Wallace Imoudu Enegbuma,et al.  Hypothesis analysis of building information modelling penetration in Malaysian Construction Industry , 2013 .

[23]  Kherun Nita Ali.  Theoretical framework for building information modelling penetration in Malaysian construction industry , 2012 .

[24]  Judy A. Kraatz,et al.  Modelling, collaboration and integration : a case study for the delivery of public buildings , 2013 .

[25]  John Ingham,et al.  Why do people use information technology? A critical review of the technology acceptance model , 2003, Inf. Manag..

[26]  Igor H.Ansoff.  Strategic Management , 1979 .

[27]  Toong Khuan Chan,et al.  A review of the performance of the Malaysian construction industry , 2013 .

[28]  Umit Isikdag,et al.  BIM and Off-Site Manufacturing: Recent Research and Opportunities , 2013 .

[29]  Lei-da Chen,et al.  Enticing online consumers: an extended technology acceptance perspective , 2002, Inf. Manag..

[30]  Joseph H. M. Tah,et al.  Rethinking the Build Process for BIM Adoption , 2013 .

[31]  I. Ajzen,et al.  Understanding Attitudes and Predicting Social Behavior , 1980 .

[32]  Mohammad Chuttur,et al.  Overview of the Technology Acceptance Model: Origins, Developments and Future Directions , 2009 .

[33]  Fred D. Davis,et al.  A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies , 2000, Management Science.

[34]  Bilal Succar,et al.  Building information modelling framework: A research and delivery foundation for industry stakeholders , 2009 .

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

[36]  A. Birch,et al.  Preservice teachers’ acceptance of ICT integration in the classroom: applying the UTAUT model , 2009 .

[37]  Yacine Rezgui,et al.  Paving the Way to the Vision of Digital Construction: A Strategic Roadmap , 2006 .

[38]  M. Conner,et al.  The Theory of Planned Behaviour , 2004 .

[39]  A. Bandura.  Self-efficacy mechanism in human agency , 2024, Psihologìâ ì suspìlʹstvo.

[40]  Fred D. Davis.  Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..