Individual and Organisational Level Drivers and Barriers to Building Information Modelling
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Abstract
The diffusion of building information modelling (BIM) has remained slow and the search for a solution to the problems that prevent technology acceleration continues. Although, there is strong evidence that user resistance is a major factor in delaying the adoption of new technologies, little attention has been paid to the drivers of BIM use in literature. Besides, majority of the studies on organisational barriers focus on large firms, despite strong emphasis laid on increased collaboration in the BIM. In the current study, the drivers of and barriers to BIM adoption and implementation are explored at both individual and organisational levels through a survey conducted on 905 industry professionals from the Turkish construction industry. This study further explores differences between groups of firm size in embracing BIM technologies to assess the extent and presence of digital divide. Results reveal that professionals place more value on performance enhancing factors rather than social influence for the adoption of BIM, indicating the role of improved performance as a driver for BIM. The most prominent barriers, on the other hand, appear to be related to the availability of expertise and skills, a problem that seems to exist not solely within companies but also further down the supply chain. Policymakers seeking to disseminate BIM use may address these concerns and consider these insights to revise policies and incentives.
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References
Ademci, E. (2018). An analysis of BIM adoption in Turkish AEC industry. MSc diss. Mimar Sinan Fine Art University.
Ademci, E. and Gundes, S. (2018). Review of studies on BIM adoption in AEC industry. In Proceedings of the 5th international Project and Construction Management Conference (IPCMC2018). North Cyprus: Cyprus International University.
Arayici, Y., Khosrowshahi, F., Ponting, A.M. and Mihindu, S.A. (2009). Towards implementation of building information modelling in the construction industry. In Proceedings of the Fifth International Conference on Construction in the 21st Century (CITC-V): Collaboration and Integration in Engineering, Management and Technology. Istanbul, Turkey: CITC-V, 1342–1351.
Arayici, Y. and Aouad, G. (2010). Building information modelling (BIM) for construction lifecycle management. In S.G. Doyle (ed.), Construction and Building: Design, Materials, and Techniques. New York: Nova Science Publisher, 99–118.
Arendt, L. (2008). Barriers to ICT adoption in SMEs: How to bridge the digital divide? Journal of Systems and Information Technology, 10(2): 93–108. https://doi.org/10.1108/13287260810897738.
Atkinson, J. and Storey, D. (2016). Employment, the Small Firm and the Labour Market. London: Routledge. https://doi.org/10.4324/9781315560205.
Ayinla, K.O. and Adamu, Z. (2018). Bridging the digital divide gap in BIM technology adoption. Engineering, Construction and Architectural Management, 25(10): 1398–1416. https://doi.org/10.1108/ECAM-05-2017-0091.
Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly, 25(3): 351–370. https://doi.org/10.2307/3250921.
Boynton, P.M. and Greenhalgh, T. (2004). Selecting, designing, and developing your questionnaire. BMJ, 328(7451): 1312–1315. https://doi.org/10.1136/bmj.328.7451.1312.
Brewer, G. and Gajendran, T. (2010). A case study of the effects of attitude, behaviour, and project team culture on Building Information Model use in a temporary project organisation. Available at: http://itc.scix.net/data/works/att/w78-2010-94.pdf.
Cheng, J.C. and Lu, Q. (2015). A review of the efforts and roles of the public sector for BIM adoption worldwide. Journal of Information Technology in Construction (ITcon), 20(27): 442–478.
Construction Users Roundtable (2006). Optimizing the Construction Process: An Implementation Strategy. Cincinnati, OH: Construction Users Roundtable.
Dainty, A., Leiringer, R., Fernie, S. and Harty, C. (2017). BIM and the small construction firm: A critical perspective. Building Research and Information, 45(6): 696–709. https://doi.org/10.1080/09613218.2017.1293940.
Dakhil, A.J., Underwood, J. and Alshawi, M. (2019). Critical success competencies for the BIM implementation process: UK construction clients. Journal of Information Technology in Construction (ITcon), 24: 80–94.
Davies, R. and Harty, C. (2013). Measurement and exploration of individual beliefs about the consequences of building information modelling use. Construction Management and Economics, 31(11): 1110–1127. https://doi.org/10.1080/01446193.2013.848994.
Davis, F.D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3): 319–340. https://doi.org/10.2307/249008.
Davis, F.D., Bagozzi, R.P. and Warshaw, P.R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8): 982–1003. https://doi.org/10.1287/mnsc.35.8.982.
Demian, P. and Walters, D. (2014). The advantages of information management through building information modelling. Construction Management and Economics, 32(12): 1153–1165. https://doi.org/10.1080/01446193.2013.777754.
Eadie, R., Odeyinka, H., Browne, M., McKeown, C. and Yohanis, M. (2014). Building information modelling adoption: An analysis of the barriers to implementation. Journal of Engineering and Architecture, 2(1): 77–101.
Eadie, R., Browne, M., Odeyinka, H., McKeown, C. and McNiff, S. (2015). A survey of current status of and perceived changes required for BIM adoption in the UK. Built Environment Project and Asset Management, 5(1): 4–21. https://doi.org/10.1108/BEPAM-07-2013-0023.
Eastman, C.M. (1999). Building Product Model: Computer Environments Supporting Design and Construction. Florida: CRC Press.
Eastman, C., Teicholz, P., Sacks, R. and Liston, K. (2008). BIM Handbook: A Guide to Building Information Modeling for Owners, Managers, Designers, Engineers and Contractors. London: John Wiley & Sons, Inc.
Edirisinghe, R. and London, K. (2015). Comparative analysis of international and national level BIM standardization efforts and BIM adoption. In 32nd CIB W78 Conference Proceedings. Eindhoven, Netherlands: Eindhoven University of Technology.
Forsythe, P. (2014). The case for BIM uptake among small construction contracting businesses. In 2014 Proceedings of the 31st ISARC, Sydney, Australia. Sydney: IAARC Publications, 480–487. https://doi.org/10.22260/ISARC2014/0064.
Gray, D. (2009). Doing Research in the Real World. 2nd Ed. London: Sage Publications.
Gu, N. and London, K. (2010). Understanding and facilitating BIM adoption in the AEC industry. Automation in Construction, 19(8): 988–999. https://doi.org/10.1016/j.autcon.2010.09.002.
Gu, N., Singh, V., Taylor, C., London, K. and Brankovic, L. (2007). Building information modelling: An issue of adoption and change management. Paper presented at the ICAN Conference 2007. Sydney, Australia, 28 August.
He, Q., Wang, G., Luo, L., Shi, Q., Xie, J., and Meng, X. (2017). Mapping the managerial areas of Building Information Modeling (BIM) using scientometric analysis. International Journal of Project Management, 35(4): 670–685. https://doi.org/10.1016/j.ijproman.2016.08.001
Hong, Y., Sepasgozar, S.M., Ahmadian, A.F.F. and Akbarnezhad, A. (2016). Factors influencing BIM adoption in small and medium sized construction organizations. In 2016 Proceedings of the 33rd ISARC, Auburn, USA. Auburn: IAARC Publications, 452–461. https://doi.org/10.22260/ISARC2016/0055.
Hossain, K., Munns, A. and Rahman, M. (2013). Enhancing team integration in building information modelling (BIM) projects. BIM management and interoperability. In D. Boyd (ed.), ARCOM Doctoral Workshop on BIM Management and Interoperability. Birmingham, UK: Birmingham City University, 78–92.
Hosseini, M.R., Banihashemi, S., Chileshe, N., Namzadi, M.O., Udeaja, C.E., Rameezdeen, R. and McCuen, T. (2016). BIM adoption within Australian small and medium-sized enterprises (SMEs): An innovation diffusion model. Construction Economics and Building, 16(3): 71–86. https://doi.org/10.5130/AJCEB.v16i3.5159.
Howard, R., Restrepo, L. and Chang, C.Y. (2017). Addressing individual perceptions: An application of the unified theory of acceptance and use of technology to building information modelling. International Journal of Project Management, 35(2), 107–120. https://doi.org/10.1016/j.ijproman.2016.10.012.
ITtoolbox (2004). ERP implementation survey. Available at: it.toolbox.com.
Karahanna, E., Straub, D.W. and Chervany, N.L. (1999). Information technology adoption across time: A cross-sectional comparison of pre-adoption and postadoption beliefs. MIS Quarterly, 23(2): 183–213. https://doi.org/10.2307/249751.
Kim, H.W. and Kankanhalli, A. (2009). Investigating user resistance to information systems implementation: A status quo bias perspective. MIS Quarterly, 33(3): 567–582. https://doi.org/10.2307/20650309.
Knight, A. and Ruddock, L. (2008). Advanced Research Methods in the Built Environment. Chichester, UK: Blackwell Publishing.
Lee, S., Yu, J. and Jeong, D. (2015). BIM acceptance model in construction organizations. Journal of Management in Engineering, 31(3): 04014048. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000252.
Liao, L., Lin, E.T.A. and Low, S.P. (2019). Assessing building information modeling implementation readiness in building projects in Singapore. Engineering, Construction and Architectural Management, 27(3): 700–724. https://doi.org/10.1108/ECAM-01-2019-0028.
Linderoth, H.C.J. (2010). Understanding adoption and use of BIM as the creation of actor networks. Automation in Construction, 19(1): 66–72. https://doi.org/10.1016/j.autcon.2009.09.003.
Love, P.E., Simpson, I., Hill, A. and Standing, C. (2013). From justification to evaluation: Building information modeling for asset owners. Automation in construction, 35: 208–216. https://doi.org/10.1016/j.autcon.2013.05.008.
Mahamadu, A.M., Mahdjoubi, L. and Booth, C.A. (2014). Determinants of BIM acceptance for supplier integration: A conceptual model. In A. Raiden and Aboagye-Nimo, E. (eds.), Proceedings 30th Annual ARCOM Conference. Portsmouth, UK: Association of Researchers in Construction Management, 623–632.
Martinko, M.J., Zmud, R.W. and Henry, J.W. (1996). An attributional explanation of individual resistance to the introduction of information technologies in the workplace. Behaviour and Information Technology, 15(5): 313–330. https://doi.org/10.1080/014492996120085a.
McGraw-Hill Construction (2008). SmartMarket Report: BIM; Transforming Design and Construction to Achieve Greater Industry Productivity. New York: McGraw-Hill Construction. O'Brien, J.A. and Marakas, G.M. (2011). Management Information Systems. Vol. 9. New York: McGraw-Hill/Irwin. Rainnie, A. (2016). Industrial Relations in Small Firms: Small isn't Beautiful. London: Routledge. https://doi.org/10.4324/9781315563541.
Ritchie, B. and Brindley, C. (2005). ICT adoption by SMEs: Implications for relationships and management. New Technology, Work and Employment, 20(3): 205–217. https://doi.org/10.1111/j.1468-005X.2005.00154.x.
Sexton, M., Barrett, P. and Aouad, G. (2006). Motivating small construction companies to adopt new technology. Building Research and Information, 34(1): 11–22. https://doi.org/10.1080/09613210500254474.
Sezer, A.A. and Bröchner, J. (2019). Site managers' ICT tools for monitoring resources in refurbishment. Engineering, Construction and Architectural Management, 27(1): 109–127. https://doi.org/10.1108/ECAM-02-2018-0074.
Sun, C., Jiang, S., Skibniewski, M.J., Man, Q. and Shen, L. (2017). A literature review of the factors limiting the application of BIM in the construction industry. Technological and Economic Development of Economy, 23(5): 764–779. https://doi.org/10.3846/20294913.2015.1087071.
Venkatesh, V. and Davis, F.D. (2000). A theoretical extension of the Technology Acceptance Model: Four longitudinal field studies. Management Science, 46(2): 186–204. https://doi.org/10.1287/mnsc.46.2.186.11926.
Venkatesh, V., Morris, M.G., Davis, G.B and Davis, F.D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(2): 425–478. https://doi.org/10.2307/30036540.
Won, J., Lee, J. and Lee, G. (2008). A case study on BIM collaboration and information management method. Journal of the Architectural Institute of Korea, 24(8): 25–32.
Won, J., Lee, G., Dossick, C. and Messner, J. (2013). Where to focus for successful adoption of building information modeling within organization. Journal of Construction Engineering and Management, 139(11): 04013014. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000731.
Wu, J.H. and Wang, S.C. (2005). What drives mobile commerce? An empirical evaluation of the revised technology acceptance model. Information and Management, 42(5): 719–729. https://doi.org/10.1016/j.im.2004.07.001.
Yan, H. and Demian, P. (2008). Benefits and barriers of building information modelling. In A. Ren, Z. Ma and X. Lu (eds.), Proceedings of the 12th International Conference on Computing in Civil and Building Engineering (ICCCBE XII) & 2008 International Conference on Information Technology in Construction (INCITE 2008), Beijing, China, 16th–18th October 2008. Beijing: Tingshua University Press.
Young, N.W., Jones, S.A., Bernstein, H.M. and Gudgel, J.E. (2009). The Business Value of BIM. Bedford, MA: McGraw-Hill Construction.
Zhao, X., Wu, P. and Wang, X. (2018). Risk paths in BIM adoption: Empirical study of China. Engineering, Construction and Architectural Management, 25(9): 1170–1187. https://doi.org/10.1108/ECAM-08-2017-0169.