AN ANALYSIS OF THE DRIVERS FOR ADOPTING BUILDING INFORMATION MODELLING

Robert Eadie, Henry Odeyinka, Mike Browne, Clare Mahon, Michael Yohanis

Research output: Contribution to journalArticle

19 Citations (Scopus)

Abstract

Building Information Modelling (BIM) is one of the pillars of the UK Government Construction Strategy. While many benefits (drivers) of BIM are mentioned in literature there is little by way of research to evaluate their importance. The objective of the survey reported in this paper is therefore to fill this knowledge gap by identifying and prioritizing the factors driving BIM adoption to enable those seeking to adopt BIM to gain an understanding of the relative importance of each of these drivers in order to inform their strategic and operational decision making. The research sample was limited to the top 100 UK construction contractors with international business activity. Online survey respondents were asked to score on a Likert-type scale of 1-5 the level of importance they would place on the identified factors driving BIM adoption. Responses to the online survey were analysed using relative importance index and rank agreement factor. The study concluded that those who had adopted BIM ranked the drivers for BIM differently than those yet to implement a BIM solution.Overall, the study found that the three most important drivers for BIM implementation are “Clash Detection”,“Government Pressure” and “Competitive Pressure”. The top drivers for non-users of BIM could be grouped under pressure from external sources while operational drivers were more important for users of BIM.
LanguageEnglish
Pages338-352
JournalJournal of Information Technology in Construction ITCON
Volume18
Publication statusPublished - 16 Oct 2013

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Contractors
Decision making
Industry

Keywords

  • Building Information Modelling
  • BIM users
  • non-users of BIM
  • BIM adoption drivers

Cite this

@article{1d1bcadcee0e495cac9c3b4e45288140,
title = "AN ANALYSIS OF THE DRIVERS FOR ADOPTING BUILDING INFORMATION MODELLING",
abstract = "Building Information Modelling (BIM) is one of the pillars of the UK Government Construction Strategy. While many benefits (drivers) of BIM are mentioned in literature there is little by way of research to evaluate their importance. The objective of the survey reported in this paper is therefore to fill this knowledge gap by identifying and prioritizing the factors driving BIM adoption to enable those seeking to adopt BIM to gain an understanding of the relative importance of each of these drivers in order to inform their strategic and operational decision making. The research sample was limited to the top 100 UK construction contractors with international business activity. Online survey respondents were asked to score on a Likert-type scale of 1-5 the level of importance they would place on the identified factors driving BIM adoption. Responses to the online survey were analysed using relative importance index and rank agreement factor. The study concluded that those who had adopted BIM ranked the drivers for BIM differently than those yet to implement a BIM solution.Overall, the study found that the three most important drivers for BIM implementation are “Clash Detection”,“Government Pressure” and “Competitive Pressure”. The top drivers for non-users of BIM could be grouped under pressure from external sources while operational drivers were more important for users of BIM.",
keywords = "Building Information Modelling, BIM users, non-users of BIM, BIM adoption drivers",
author = "Robert Eadie and Henry Odeyinka and Mike Browne and Clare Mahon and Michael Yohanis",
note = "Reference text: 1. Amor, R., Jiang, Y. & Chen, X. 2007. BIM in 2007 – are we there yet?, Proceedings of CIB W78 conference on Bringing ITC knowledge to work, Maribor, Slovenia, 26-29 June, 159-162. 2. Amor, R. 2012. BIM Now and Forever, Build magazine, August/September, 37-38, available on-line at http://www.branz.co.nz/cms_show_download.php?id=0304648a4267ffcfd0ee76f74c58652b7766662e (accessed September 2013). Applied Software 2009. BIM for General Contractors, Applied Software, Atlanta, USA. 3. Arayici, Y., Coates, P., Koskela, L., Kagioglou, M., Usher,C. & O'Reilly, K. 2011. Technology adoption in the BIM implementation for lean architectural practice, Automation in Construction, Vol. 20 (2), March 2011, 189-195. 4. Azhar, S. 2011. Building Information Modelling (BIM): Trends, Benefits, Risks and Challenges for the AEC Industry, Leadership and Management in Engineering, Vol. 11(3), 241-252. 5. Azhar, S., Carlton, W., Olsen, D. & Ahmad, I. 2011. Building Information Modelling for Sustainable design and LEED Rating Analysis, Automation in Construction, Vol. 20(2), 217-224. 6. Azhar, S., Hein, M. & Sketo, B. 2008. Building Information Modeling (BIM): Benefits, Risks and Challenges, available on-line at http://ascpro.ascweb.org/chair/paper/CPGT182002008.pdf (accessed January 2013). 7. Barlish, K. & Sullivan, K. 2012. How to Measure the Benefits of BIM - A case study approach. Automation in Construction, Vol. 24(1), 149-159. 8. Bartlett, J., Kotrlik, J., and Higgins, C. 2001. Organisational Research: Determining Appropriate Sample Size in Survey Research, Information Technology, Learning, and Performance Journal, Vol.19(1), 43-50. 9. Bazjanac, V. 2005. Model based cost and energy performance estimation during schematic design. Proceedings of CIB W78, 22nd conference on information technology in construction, Dresden, (ed. Scherer, R., Katranuschkov P. and Schapke, S), Institute for Construction Informatics, Technische Universit{\"a}t Dresden.677- 688. 10. Bentley 2012. About BIM, Available on-line: http://www.bentley.com/en-US/Solutions/Buildings/About+BIM.htm (accessed January 2013). 11. Bew, M. & Underwood, J. 2009. Delivering BIM to the UK Market. Handbook of Research on Building Information Modeling and Construction Informatics Concepts and Technologies, IGI-Global. Available on-line: http://www.igi-global.com/book/handbook-research-building-information-modeling/37234 30-64 (accessed January 2013). 12. BIMhub 2012. Benefits of BIM, Available on-line: http://www.bimhub.com/level-up-bim/paas/ (accessed January 2013). 13. BIM Industry Working Group 2011. A report for the Government Construction Client Group Building Information Modelling (BIM) Working Party Strategy Paper, Available on line: http://www.bimtaskgroup.org/wp-content/uploads/2012/03/BIS-BIM-strategy-Report.pdf (accessed January 2013). 14. buildingSMART Australasia 2012. National Building Information Modelling Initiative Report, Available online: http://www.innovation.gov.au/Industry/BuildingandConstruction/BEIIC/Documents/NBIMIReport.pdf (accessed January 2013). 15. Campbell, D. 2007. Building Information Modelling, available on-line: http://www.web3d.org/x3d/learn/presentations/BIM_Web3D2007.pdf (accessed January 2013). 16. Chan, D. & Kumaraswamy, D. 1996. A comparative study of causes of time overruns in Hong Kong construction projects, International Journal of Project Management, Vol. 15(1), 55-63 17. Coates, P., Arayici, Y., Koskela, L. & Usher, C. 2010. The changing perception in the artefacts used in the design practice through BIM adoption , in: CIB 2010, 10/5/10 - 13/5/10, University of Salford UK. 18. Crotty, R. 2012. The Impact of Building Information Modelling Transforming Construction. 1st ed. Taylor and Francis, London, UK. 19. Deutsch, R. 2011. BIM and Integrated Design. 1st ed. John Wiley & Sons, New-Jersey USA. 20. Dickinson, J. 2010. BIM: What, Why and How, National Resaerch Council Canada, Ontario, Canada. 21. Dundas & Wilson 2009. Treasury Written Evidence: Private Finance Initiative, HM Treasury, London,UK. 22. Eastman, C., Teicholz, P., Sacks, R. and Liston, K. 2011. BIM Handbook: A Guide to Building Information Modelling. 2nd ed. John Wiley & Sons Inc, New Jersey, USA. 23. Edum-Fotwe, F. & McCaffer, R. 2000. Developing Project Management Competency: perspectives from the construction industry, International Journal of Project Management, Vol. 18(2), 111-124. 24. Efficiency and Reform Group 2011. Government Construction Strategy, Cabinet Office, London, UK. 25. Egan, J. 1998. Rethinking Construction, Department of Trade and Industry (DTI), London, UK. 26. Emmitt, S. 2007. Design Management for Architects. 1st ed. Blackwell Publishing, Oxford, UK. 27. Evans, R., Haryott, R., Haste, N. & Jones, A. 1998. The Long-term Costs of Owning and Using Buildings, Royal Academy of Engineering, London, UK. 28. Fitzpatrick, T. 2012. MOJ demands level 2 BIM by 2013. Available on-line: http://www.cnplus.co.uk/news/moj-demands-level-2-bim-by-2013/8627140.article (accessed January 2013). 29. Grilo, A. & Jardim-Goncalves, R. 2010. Value proposition on interoperability of BIM and collaborative working environments, Automation in Construction, Vol. 19 (5), August 2010, 522-530. 30. Hardin, B. 2009. BIM and Construction Management. 1st ed. Wiley Publishing Ltd, Indiana, USA. 31. Harris, F. & McCaffer, R., 2006. Modern Construction Management, 6th ed, Blackwell, Oxford, UK. 32. IDC 2009. Westfield uses Building Information Modelling to reduce time and eliminate rework across the property development supply chain, International Data Corporation, Framingham, MA, USA. 33. Kiviniemi, M., Sulankivi, K., Kahkohnen, K., Makela, T. & Merivirta, M. 2011. BIM-based Safety Management and Communication for Building Construction, VTT Technical Research Centre of Finland, Vuorimiehentie, Finland. 34. Latham, M. 1994. Constructing the Team. London, Her Majesty's Stationary Office (HMSO), London, UK. 35. Leite, F., Akinci, B. & Garrett, J. 2009. Identification of Data Items Needed for Automatic Clash Detection in MEP Design Coordination, Proceedings of Construction Research Congress 2009: Building a Sustainable Future, (ed Ariaratnam, S. & Rojas, E.) Seattle, Washington, United States April 5-7, 2009, 416-425. 36. Lewis, A., Riley, D. & Elmualim, A. 2010. Defining High Performance Buildings for Operations and Maintenance. International Journal of Facility Management, Vol. 1(2), 1-16. 37. Li, X., Aouad, G., Li, Q. & Fu, C. 2008. An nD Modeling Enabled Collaborative Construction Supply Chain Information System, in Proceedings of the Second International Symposium on Intelligent Information Technology Application, 2008. IITA '08. 20-22 Dec. 2008 Vol.3. 171 – 175, Available on-line: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4739981 (accessed January 2013). 38. Liu, R., Issa, R. & Olbina. S. 2010. Factors influencing the adoption of building information modeling in the AEC Industry. In Proceedings of the International Conference on Computing in Civil and Building Engineering, (Ed. Tizani, W.), University of Nottingham, Available on-line: http://www.engineering.nottingham.ac.uk/icccbe/proceedings/pdf/pf70.pdf (accessed January 2013). 39. Lock, D. 2007. Project Management, 9th ed., Gower Publishing Limited, Aldershot, UK. 40. Lu, W. & Li, H. 2011. Building Information Modelling and Changing Construction Practices. Automation in Construction, Vol. 20(1), 99-100. 41. Moore, G. 2003. Inside the Tornado: Marketing Strategies from Silicon Valley's Cutting Edge. 7th ed. Capstone Publishing Limited, Oxford, UK. 42. Nawari, N. 2012. BIM Standard in Off-Site Construction, J. Architectural Engineering Vol. 18(2), 107–113. 43. Olofsson, T. & Eastman, C. 2008. Benefits and lessons learned of implementing building virtual design and construction (VDC) technologies for coordination of mechanical, electrical, and plumbing (MEP) systems on a large healthcare project, Journal of Information Technology in Construction (ITcon), Vol. 13(1), 324 - 342. 44. Ruikar, K., Anumba, C. & Carrillo, P. 2005. End-user perspectives on use of Project Extranets in construction organisations, Engineering, Construction and Architectural Management, Vol. 12(3), 222-235. 45. Sacks, R., Treckmann, M. & Rozenfeld, O. 2009. Visualization of Work Flow to Support Lean Construction, Journal of Construction Engineering and Management, December 2009, Vol. 135 (12), 1307-1315. 46. Samuelson, O. & Bj{\"o}rk, B. 2010. Adoption processes for EDM, EDI and BIM technologies in the construction industry, Available on-line: https://helda.helsinki.fi/handle/10227/779 (accessed January 2010). 47. Tam, V., Tam, C., Zeng, S. & Ng, W., 2007. Towards adoption of pre-fabrication in construction. Building and Environment, Vol. 42(10), 3642 - 3654. 48. The Construction Index 2011. Top 100 Companies 2011, Available online: http://www.theconstructionindex.co.uk/market-data/top-100-construction-companies/2011 (accessed December 2012). 49. TRADA 2012. Construction Briefings: Building Information Modelling, Timber Research and Development Association, High Wycombe, UK. 50. Tunstall, G. 2006. Managing the Building Design Process, 2nd ed., Butterworth-Heinemann, Oxford, UK. 51. Tutt, D., Dainty, A., Gibb, A. & Pink, S. 2011. Migrant Construction Workers and Health & Safety Com-munication, Construction Industry Training Board, King's Lynn, UK. 52. Walker, A. 2007. Project Management in Construction, 5th ed, Blackwell, Oxford, UK. Winch, G. 2010. Managing Construction Projects, 2nd ed. Blackwell Science, Chichester, UK. 53. Wolstenholme, A., Austin, S., Bairstow, M., Blumenthal, A., Lorimer, J., McGuckin, S., Rhys Jones, S., Ward, D., Whysall, D., Le Grand, Z., Guthrie, W. & Davies, R. 2009. Never waste a good crisis: a review of progress since Rethinking Construction and thoughts for our future. Constructing Excellence, London, UK. 54. Woo J. H. 2007. BIM (Building Information Modeling) and Pedagogical Challenges, Proceedings of the 43rd Annual Conference by Associated Schools of Construction (Sulbaran T. & Cummings G., editors), Northern Arizona University, April 12 - 14, 2007. Available on-line: http://ascpro0.ascweb.org/archives/cd/2007/paper/CEUE169002007.pdf (accessed January 2013). 55. Zhang, X., Arayici, Y., Wu, S., Abbott, C. & Aouad, G. 2009. Integrating BIM and GIS for large scale (Building) Asset Management: a critical review, University of Salford, Salford, UK.",
year = "2013",
month = "10",
day = "16",
language = "English",
volume = "18",
pages = "338--352",
journal = "Journal of Information Technology in Construction",
issn = "1874-4753",

}

AN ANALYSIS OF THE DRIVERS FOR ADOPTING BUILDING INFORMATION MODELLING. / Eadie, Robert; Odeyinka, Henry; Browne, Mike; Mahon, Clare; Yohanis, Michael.

In: Journal of Information Technology in Construction ITCON, Vol. 18, 16.10.2013, p. 338-352.

Research output: Contribution to journalArticle

TY - JOUR

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AU - Eadie, Robert

AU - Odeyinka, Henry

AU - Browne, Mike

AU - Mahon, Clare

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N1 - Reference text: 1. Amor, R., Jiang, Y. & Chen, X. 2007. BIM in 2007 – are we there yet?, Proceedings of CIB W78 conference on Bringing ITC knowledge to work, Maribor, Slovenia, 26-29 June, 159-162. 2. Amor, R. 2012. BIM Now and Forever, Build magazine, August/September, 37-38, available on-line at http://www.branz.co.nz/cms_show_download.php?id=0304648a4267ffcfd0ee76f74c58652b7766662e (accessed September 2013). Applied Software 2009. BIM for General Contractors, Applied Software, Atlanta, USA. 3. Arayici, Y., Coates, P., Koskela, L., Kagioglou, M., Usher,C. & O'Reilly, K. 2011. Technology adoption in the BIM implementation for lean architectural practice, Automation in Construction, Vol. 20 (2), March 2011, 189-195. 4. Azhar, S. 2011. Building Information Modelling (BIM): Trends, Benefits, Risks and Challenges for the AEC Industry, Leadership and Management in Engineering, Vol. 11(3), 241-252. 5. Azhar, S., Carlton, W., Olsen, D. & Ahmad, I. 2011. Building Information Modelling for Sustainable design and LEED Rating Analysis, Automation in Construction, Vol. 20(2), 217-224. 6. Azhar, S., Hein, M. & Sketo, B. 2008. Building Information Modeling (BIM): Benefits, Risks and Challenges, available on-line at http://ascpro.ascweb.org/chair/paper/CPGT182002008.pdf (accessed January 2013). 7. Barlish, K. & Sullivan, K. 2012. How to Measure the Benefits of BIM - A case study approach. Automation in Construction, Vol. 24(1), 149-159. 8. Bartlett, J., Kotrlik, J., and Higgins, C. 2001. Organisational Research: Determining Appropriate Sample Size in Survey Research, Information Technology, Learning, and Performance Journal, Vol.19(1), 43-50. 9. Bazjanac, V. 2005. Model based cost and energy performance estimation during schematic design. Proceedings of CIB W78, 22nd conference on information technology in construction, Dresden, (ed. Scherer, R., Katranuschkov P. and Schapke, S), Institute for Construction Informatics, Technische Universität Dresden.677- 688. 10. Bentley 2012. About BIM, Available on-line: http://www.bentley.com/en-US/Solutions/Buildings/About+BIM.htm (accessed January 2013). 11. Bew, M. & Underwood, J. 2009. Delivering BIM to the UK Market. Handbook of Research on Building Information Modeling and Construction Informatics Concepts and Technologies, IGI-Global. Available on-line: http://www.igi-global.com/book/handbook-research-building-information-modeling/37234 30-64 (accessed January 2013). 12. BIMhub 2012. Benefits of BIM, Available on-line: http://www.bimhub.com/level-up-bim/paas/ (accessed January 2013). 13. BIM Industry Working Group 2011. A report for the Government Construction Client Group Building Information Modelling (BIM) Working Party Strategy Paper, Available on line: http://www.bimtaskgroup.org/wp-content/uploads/2012/03/BIS-BIM-strategy-Report.pdf (accessed January 2013). 14. buildingSMART Australasia 2012. National Building Information Modelling Initiative Report, Available online: http://www.innovation.gov.au/Industry/BuildingandConstruction/BEIIC/Documents/NBIMIReport.pdf (accessed January 2013). 15. Campbell, D. 2007. Building Information Modelling, available on-line: http://www.web3d.org/x3d/learn/presentations/BIM_Web3D2007.pdf (accessed January 2013). 16. Chan, D. & Kumaraswamy, D. 1996. A comparative study of causes of time overruns in Hong Kong construction projects, International Journal of Project Management, Vol. 15(1), 55-63 17. Coates, P., Arayici, Y., Koskela, L. & Usher, C. 2010. The changing perception in the artefacts used in the design practice through BIM adoption , in: CIB 2010, 10/5/10 - 13/5/10, University of Salford UK. 18. Crotty, R. 2012. The Impact of Building Information Modelling Transforming Construction. 1st ed. Taylor and Francis, London, UK. 19. Deutsch, R. 2011. BIM and Integrated Design. 1st ed. John Wiley & Sons, New-Jersey USA. 20. Dickinson, J. 2010. BIM: What, Why and How, National Resaerch Council Canada, Ontario, Canada. 21. Dundas & Wilson 2009. Treasury Written Evidence: Private Finance Initiative, HM Treasury, London,UK. 22. Eastman, C., Teicholz, P., Sacks, R. and Liston, K. 2011. BIM Handbook: A Guide to Building Information Modelling. 2nd ed. John Wiley & Sons Inc, New Jersey, USA. 23. Edum-Fotwe, F. & McCaffer, R. 2000. Developing Project Management Competency: perspectives from the construction industry, International Journal of Project Management, Vol. 18(2), 111-124. 24. Efficiency and Reform Group 2011. Government Construction Strategy, Cabinet Office, London, UK. 25. Egan, J. 1998. Rethinking Construction, Department of Trade and Industry (DTI), London, UK. 26. Emmitt, S. 2007. Design Management for Architects. 1st ed. Blackwell Publishing, Oxford, UK. 27. Evans, R., Haryott, R., Haste, N. & Jones, A. 1998. The Long-term Costs of Owning and Using Buildings, Royal Academy of Engineering, London, UK. 28. Fitzpatrick, T. 2012. MOJ demands level 2 BIM by 2013. Available on-line: http://www.cnplus.co.uk/news/moj-demands-level-2-bim-by-2013/8627140.article (accessed January 2013). 29. Grilo, A. & Jardim-Goncalves, R. 2010. Value proposition on interoperability of BIM and collaborative working environments, Automation in Construction, Vol. 19 (5), August 2010, 522-530. 30. Hardin, B. 2009. BIM and Construction Management. 1st ed. Wiley Publishing Ltd, Indiana, USA. 31. Harris, F. & McCaffer, R., 2006. Modern Construction Management, 6th ed, Blackwell, Oxford, UK. 32. IDC 2009. Westfield uses Building Information Modelling to reduce time and eliminate rework across the property development supply chain, International Data Corporation, Framingham, MA, USA. 33. Kiviniemi, M., Sulankivi, K., Kahkohnen, K., Makela, T. & Merivirta, M. 2011. BIM-based Safety Management and Communication for Building Construction, VTT Technical Research Centre of Finland, Vuorimiehentie, Finland. 34. Latham, M. 1994. Constructing the Team. London, Her Majesty's Stationary Office (HMSO), London, UK. 35. Leite, F., Akinci, B. & Garrett, J. 2009. Identification of Data Items Needed for Automatic Clash Detection in MEP Design Coordination, Proceedings of Construction Research Congress 2009: Building a Sustainable Future, (ed Ariaratnam, S. & Rojas, E.) Seattle, Washington, United States April 5-7, 2009, 416-425. 36. Lewis, A., Riley, D. & Elmualim, A. 2010. Defining High Performance Buildings for Operations and Maintenance. International Journal of Facility Management, Vol. 1(2), 1-16. 37. Li, X., Aouad, G., Li, Q. & Fu, C. 2008. An nD Modeling Enabled Collaborative Construction Supply Chain Information System, in Proceedings of the Second International Symposium on Intelligent Information Technology Application, 2008. IITA '08. 20-22 Dec. 2008 Vol.3. 171 – 175, Available on-line: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4739981 (accessed January 2013). 38. Liu, R., Issa, R. & Olbina. S. 2010. Factors influencing the adoption of building information modeling in the AEC Industry. In Proceedings of the International Conference on Computing in Civil and Building Engineering, (Ed. Tizani, W.), University of Nottingham, Available on-line: http://www.engineering.nottingham.ac.uk/icccbe/proceedings/pdf/pf70.pdf (accessed January 2013). 39. Lock, D. 2007. Project Management, 9th ed., Gower Publishing Limited, Aldershot, UK. 40. Lu, W. & Li, H. 2011. Building Information Modelling and Changing Construction Practices. Automation in Construction, Vol. 20(1), 99-100. 41. Moore, G. 2003. Inside the Tornado: Marketing Strategies from Silicon Valley's Cutting Edge. 7th ed. Capstone Publishing Limited, Oxford, UK. 42. Nawari, N. 2012. BIM Standard in Off-Site Construction, J. Architectural Engineering Vol. 18(2), 107–113. 43. Olofsson, T. & Eastman, C. 2008. Benefits and lessons learned of implementing building virtual design and construction (VDC) technologies for coordination of mechanical, electrical, and plumbing (MEP) systems on a large healthcare project, Journal of Information Technology in Construction (ITcon), Vol. 13(1), 324 - 342. 44. Ruikar, K., Anumba, C. & Carrillo, P. 2005. End-user perspectives on use of Project Extranets in construction organisations, Engineering, Construction and Architectural Management, Vol. 12(3), 222-235. 45. Sacks, R., Treckmann, M. & Rozenfeld, O. 2009. Visualization of Work Flow to Support Lean Construction, Journal of Construction Engineering and Management, December 2009, Vol. 135 (12), 1307-1315. 46. Samuelson, O. & Björk, B. 2010. Adoption processes for EDM, EDI and BIM technologies in the construction industry, Available on-line: https://helda.helsinki.fi/handle/10227/779 (accessed January 2010). 47. Tam, V., Tam, C., Zeng, S. & Ng, W., 2007. Towards adoption of pre-fabrication in construction. Building and Environment, Vol. 42(10), 3642 - 3654. 48. The Construction Index 2011. Top 100 Companies 2011, Available online: http://www.theconstructionindex.co.uk/market-data/top-100-construction-companies/2011 (accessed December 2012). 49. TRADA 2012. Construction Briefings: Building Information Modelling, Timber Research and Development Association, High Wycombe, UK. 50. Tunstall, G. 2006. Managing the Building Design Process, 2nd ed., Butterworth-Heinemann, Oxford, UK. 51. Tutt, D., Dainty, A., Gibb, A. & Pink, S. 2011. Migrant Construction Workers and Health & Safety Com-munication, Construction Industry Training Board, King's Lynn, UK. 52. Walker, A. 2007. Project Management in Construction, 5th ed, Blackwell, Oxford, UK. Winch, G. 2010. Managing Construction Projects, 2nd ed. Blackwell Science, Chichester, UK. 53. Wolstenholme, A., Austin, S., Bairstow, M., Blumenthal, A., Lorimer, J., McGuckin, S., Rhys Jones, S., Ward, D., Whysall, D., Le Grand, Z., Guthrie, W. & Davies, R. 2009. Never waste a good crisis: a review of progress since Rethinking Construction and thoughts for our future. Constructing Excellence, London, UK. 54. Woo J. H. 2007. BIM (Building Information Modeling) and Pedagogical Challenges, Proceedings of the 43rd Annual Conference by Associated Schools of Construction (Sulbaran T. & Cummings G., editors), Northern Arizona University, April 12 - 14, 2007. Available on-line: http://ascpro0.ascweb.org/archives/cd/2007/paper/CEUE169002007.pdf (accessed January 2013). 55. Zhang, X., Arayici, Y., Wu, S., Abbott, C. & Aouad, G. 2009. Integrating BIM and GIS for large scale (Building) Asset Management: a critical review, University of Salford, Salford, UK.

PY - 2013/10/16

Y1 - 2013/10/16

N2 - Building Information Modelling (BIM) is one of the pillars of the UK Government Construction Strategy. While many benefits (drivers) of BIM are mentioned in literature there is little by way of research to evaluate their importance. The objective of the survey reported in this paper is therefore to fill this knowledge gap by identifying and prioritizing the factors driving BIM adoption to enable those seeking to adopt BIM to gain an understanding of the relative importance of each of these drivers in order to inform their strategic and operational decision making. The research sample was limited to the top 100 UK construction contractors with international business activity. Online survey respondents were asked to score on a Likert-type scale of 1-5 the level of importance they would place on the identified factors driving BIM adoption. Responses to the online survey were analysed using relative importance index and rank agreement factor. The study concluded that those who had adopted BIM ranked the drivers for BIM differently than those yet to implement a BIM solution.Overall, the study found that the three most important drivers for BIM implementation are “Clash Detection”,“Government Pressure” and “Competitive Pressure”. The top drivers for non-users of BIM could be grouped under pressure from external sources while operational drivers were more important for users of BIM.

AB - Building Information Modelling (BIM) is one of the pillars of the UK Government Construction Strategy. While many benefits (drivers) of BIM are mentioned in literature there is little by way of research to evaluate their importance. The objective of the survey reported in this paper is therefore to fill this knowledge gap by identifying and prioritizing the factors driving BIM adoption to enable those seeking to adopt BIM to gain an understanding of the relative importance of each of these drivers in order to inform their strategic and operational decision making. The research sample was limited to the top 100 UK construction contractors with international business activity. Online survey respondents were asked to score on a Likert-type scale of 1-5 the level of importance they would place on the identified factors driving BIM adoption. Responses to the online survey were analysed using relative importance index and rank agreement factor. The study concluded that those who had adopted BIM ranked the drivers for BIM differently than those yet to implement a BIM solution.Overall, the study found that the three most important drivers for BIM implementation are “Clash Detection”,“Government Pressure” and “Competitive Pressure”. The top drivers for non-users of BIM could be grouped under pressure from external sources while operational drivers were more important for users of BIM.

KW - Building Information Modelling

KW - BIM users

KW - non-users of BIM

KW - BIM adoption drivers

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VL - 18

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EP - 352

JO - Journal of Information Technology in Construction

T2 - Journal of Information Technology in Construction

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