BIM adoption model for small and medium construction organisations in Australia

The purpose of this paper is to present a model for building information modelling (BIM) implementation at small and medium-sized construction contractor organisations (SMOs). The proposed BIM adoption model assesses BIM implementation benefits, costs and challenges faced by SMOs. Correlation between BIM adoption in SMOs and the associated impacting factors, including knowledge support and BIM adoption motivation, is captured through the model.,A literature review of BIM adoption in construction was first presented. Research data, collected from 80 SMOs in Australia through a conducted survey, are then analysed. Descriptive analysis and structural equation modelling were used to investigate SMOs’ understanding of BIM, and to qualify the correlations among the proposed latent variables impacting BIM implementation at SMOs, respectively. Additionally, this study used χ2 test to compare differences between BIM users and non-BIM users regarding BIM understanding, interested applications and attitudes towards implementation benefits and challenges.,Potential benefits associated with BIM implementation are a major motivation factor when it comes to BIM adoption at SMOs. In addition, existing staff’s capability in using BIM tools positively affects the establishment of an organisational knowledge-support system, which determines the decision of adopting BIM eventually. Ultimately, there is a need for further emphasis on staff engagement in the implementation process.,The results presented in this paper are applicable to SMOs in the building sector of construction. BIM implementation at organisations involved in non-building activities, including civil works and infrastructure, needs to be assessed in the future.,The results indicate that rather than placing the focus mainly on benefits of BIM implementation, successful implementation of BIM in practice requires adequate effort to assess implementation problems, establish knowledge support and engage staff in using BIM.,Results of this study provide an insight into the adoption challenges of BIM in SMOs, given that the focus of previous studies has been mostly placed on BIM adoption in architectural firms and large contractors.

[1]  Brodie McAdam,et al.  Building information modelling: the UK legal context , 2010 .

[2]  James C. Anderson,et al.  STRUCTURAL EQUATION MODELING IN PRACTICE: A REVIEW AND RECOMMENDED TWO-STEP APPROACH , 1988 .

[3]  Jeung-Hwan Doh,et al.  Current use of building information modelling within Australian AEC industry , 2013 .

[4]  Keith F Widaman,et al.  Confirmatory factor analysis and item response theory: two approaches for exploring measurement invariance. , 1993, Psychological bulletin.

[5]  R. Edward Minchin,et al.  Sino-American Opinions and Perceptions of Counterfeiting in the Construction Supply Chain , 2013 .

[6]  Anthony Mutai,et al.  Factors influencing the use of Building Information Modeling (BIM) within leading construction firms in the United States of America , 2009 .

[7]  Clive Thomas Cain Building Down Barriers: A Guide to Construction Best Practice , 2003 .

[8]  S. Fox,et al.  Interorganizational use of building information models: potential for automational, informational and transformational effects , 2007 .

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

[10]  Mary Hardie,et al.  Factors influencing technical innovation in construction SMEs: an Australian perspective , 2011 .

[11]  Chris Harty,et al.  Implementing ‘Site BIM’: A case study of ICT innovation on a large hospital project , 2013 .

[12]  J. Hair Multivariate data analysis , 1972 .

[13]  E. Sarah Slaughter,et al.  Implementation of construction innovations , 2000 .

[14]  Srinath Perera,et al.  Readiness of BIM: a case study of a quantity surveying organisation , 2012 .

[15]  Nicholas Chileshe,et al.  Barriers to BIM adoption: Perceptions from Australian small and medium-sized enterprises (SMEs) , 2016 .

[16]  Awad S. Hanna,et al.  State of Practice of Building Information Modeling in Mechanical and Electrical Construction Industries , 2013 .

[17]  R. Bagozzi,et al.  On the evaluation of structural equation models , 1988 .

[18]  Andrew R.J. Dainty,et al.  BIM and the small construction firm: a critical perspective , 2017 .

[19]  Stephen O. Ogunlana,et al.  A study on project success factors in large construction projects in Vietnam , 2004 .

[20]  Bilal Succar,et al.  Macro-BIM adoption: Conceptual structures , 2015 .

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

[22]  Salman Azhar,et al.  A Case Study of Building Performance Analyses Using Building Information Modeling , 2010 .

[23]  Nicholas Chileshe,et al.  Building Information Modelling (Bim) within the Australian construction related small and medium sized enterprises: awareness, practices and drivers , 2015 .

[24]  Vinit Parida,et al.  Barriers to Information and communication Technology Adoption in Small Firms : Report to the Ministry of Enterprise, Energy and Communication , 2010 .

[25]  Ali Akbarnezhad,et al.  Factors Influencing BIM Adoption in Small and Medium Sized Construction Organizations , 2016 .

[26]  Joseph A. Cote,et al.  Multicollinearity and Measurement Error in Structural Equation Models: Implications for Theory Testing , 2004 .

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

[28]  C. Chen,et al.  Benefits of Implementing Building Information Modeling for Healthcare Facility Commissioning , 2011 .

[29]  R. Hauser,et al.  The Decomposition of Effects in Path Analysis , 1975 .

[30]  Fred D. Davis,et al.  Extrinsic and Intrinsic Motivation to Use Computers in the Workplace1 , 1992 .

[31]  K. Hopkins,et al.  Applicability of chi-square to 2???2 contingency tables with small expected cell frequencies. , 1978 .

[32]  Martin Sexton,et al.  Appropriate innovation in small construction firms , 2003 .

[33]  Jjh Bert Brouwers Probabilistic descriptions of irregular system downtime , 1986 .

[34]  M. Miller,et al.  Sample Size Requirements for Structural Equation Models , 2013, Educational and psychological measurement.

[35]  Mike Kagioglou,et al.  Technology adoption in the BIM implementation for lean architectural practice , 2011 .

[36]  C. Fornell,et al.  Evaluating Structural Equation Models with Unobservable Variables and Measurement Error , 1981 .

[37]  Igor Martek,et al.  Implementation of innovative technologies in small-scale construction firms: Five Australian case studies , 2016 .

[38]  Rommert Dekker,et al.  Preventive maintenance in a 1 out of n system: The uptime, downtime and costs , 1997 .

[39]  Perry Forsythe The case for BIM uptake among small construction contracting businesses , 2014 .

[40]  R. Bagozzi,et al.  On the evaluation of structural equation models , 1988 .

[41]  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..

[42]  Daniel Henry,et al.  Does size matter? Experiences and perspectives of BIM implementation from large and SME construction contractors , 2012 .

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

[44]  Heng Li,et al.  Identifying and contextualising the motivations for BIM implementation in construction projects: An empirical study in China , 2017 .

[45]  C. Egbu Managing knowledge and intellectual capital for improved organizational innovations in the construction industry: an examination of critical success factors , 2004 .

[46]  Petra von Both Potentials and Barriers for Implementing BIM in the German AEC Market: Results of a Current Market Analysis , 2012 .

[47]  Ying Mei Cheng,et al.  Application of BIM on Quantity Estimate for Reinforced Concrete , 2013 .

[48]  Willem Kymmell,et al.  Building Information Modeling: Planning and Managing Construction Projects with 4D CAD and Simulations , 2007 .

[49]  Christopher Nigel Preece,et al.  Adoption of Building Information Modelling technology (BIM): Perspectives from Malaysian engineering consulting services firms , 2015 .

[50]  C. Fornell,et al.  Evaluating structural equation models with unobservable variables and measurement error. , 1981 .

[51]  Mohamed Marzouk,et al.  On the use of Building Information Modeling in Infrastructure Bridges , 2010 .

[52]  Ilan Bijaoui The Role of SMEs , 2015 .

[53]  R. Sebastian,et al.  BIM Application for integrated design and engineering in small-scale housing development , 2009 .

[54]  G. Zaltman,et al.  Factors Affecting the Use of Market Research Information: A Path Analysis , 1982 .

[55]  Hans Voordijk,et al.  Adoption and Use of Interorganizational ICT in a Construction Project , 2010 .

[56]  Eddy Krygiel,et al.  Green BIM: Successful Sustainable Design with Building Information Modeling , 2008 .

[57]  Na Lu,et al.  Implementation of Building Information Modeling (BIM) in Modular Construction: Benefits and Challenges , 2010 .

[58]  Mehran Oraee Namzadi,et al.  BIM adoption within Australian small and medium-sized enterprises (SMEs) : an innovation diffusion model , 2016 .

[59]  Jung-Ho Yu,et al.  BIM Acceptance Model in Construction Organizations , 2015 .

[60]  R. Sitgreaves Psychometric theory (2nd ed.). , 1979 .

[61]  Heng Li,et al.  Practices and effectiveness of building information modelling in construction projects in China , 2015 .

[62]  D. Campbell,et al.  Convergent and discriminant validation by the multitrait-multimethod matrix. , 1959, Psychological bulletin.

[63]  Lin Yang,et al.  Empirical Study of BIM Implementation–Based Perceptions among Chinese Practitioners , 2017 .

[64]  Karen Manley,et al.  Against the odds: Small firms in Australia successfully introducing new technology on construction projects , 2008 .

[65]  David Bryde,et al.  The project benefits of Building Information Modelling (BIM) , 2013 .

[66]  J. Nash,et al.  Strategic decisions and innovation in construction firms , 2003 .

[67]  Salman Azhar,et al.  Building information modelling (BIM): now and beyond , 2012 .

[68]  Jian Zuo,et al.  Key factors for the BIM adoption by architects: a China study , 2015 .

[69]  P. Bentler,et al.  Fit indices in covariance structure modeling : Sensitivity to underparameterized model misspecification , 1998 .

[70]  Ajibade Ayodeji Aibinu,et al.  Status of BIM Adoption and the BIM Experience of Cost Consultants in Australia , 2014 .