BIM and the small construction firm: a critical perspective

References

• Aranda-Mena, G., Crawford, J., Chevez, A., & Froese, T. (2009). Building information modelling demystified: Does it make business sense to adopt BIM? International Journal of Managing Projects in Business, 2(3), 419–434. doi:10.1108/17538370910971063
   Google Scholar
• Arayici, Y., Coates, P., Koskela, L., Kagioglou, M., Usher, C., & O’Reilly, K. (2011a). BIM adoption and implementation for architectural practices. Structural Survey, 29(1), 7–25. doi:10.1108/02630801111118377
   Google Scholar
• Arayici, Y., Coates, P., Koskela, L., Kagioglou, M., Usher, C., & O’Reilly, K. (2011b). Technology adoption in the BIM implementation for lean architectural practice. Automation in Construction, 20(2), 189–195. doi:10.1016/j.autcon.2010.09.016
   Web of Science ®Google Scholar
• Arbore, A., & Ordanini, A. (2006). Broadband Divide Among SMEs: The Role of Size, Location and Outsourcing Strategies. International Small Business Journal, 24(1), 83–99. doi:10.1177/0266242606059781
   Web of Science ®Google Scholar
• 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. doi:10.1108/13287260810897738
   Google Scholar
• Azhar, S. (2011). Building information modeling (BIM): Trends, benefits, risks, and challenges for the AEC industry. Leadership and Management in Engineering, 11(3), 241–252. doi:10.1061/(ASCE)LM.1943-5630.0000127
   Google Scholar
• Bach, M. P., Zoroja, J., & Vuksic, V. B. (2013). Review of the corporate digital divide research: A decadal analysis (2003–2012). International Journal of Information Systems and Project Management, 1(4), 41–55.
   Google Scholar
• Barrett, P., Sexton, M., & Lee, A. (2008). Innovation in small construction firms. London: Taylor & Francis.
   Google Scholar
• Behling, F., & Harvey, M. (2015). The evolution of false self-employment in the British construction industry: A neo-Polanyian account of labour market formation. Work, Employment and Society, 29(6), 969–988. doi:10.1177/0950017014559960
   Web of Science ®Google Scholar
• BIM4SME. (2016). Retrieved November, 2016, from. http://www.bim4sme.org/
   Google Scholar
• BIM Working Party. (2011). BIM management for value, cost and carbon improvement. London: Department for Business, Innovation and Skills.
   Google Scholar
• BIS. (2012a). Economics paper No. 18: Using industrial strategy to help the UK economy and business compete and grow. London: Department for Business, Innovation & Skills.
   Google Scholar
• BIS. (2012b). Industrial strategy: UK sector analysis. London: Department for Business, Innovation & Skills (BIS).
   Google Scholar
• BIS. (2013). Industrial strategy: Government and industry in partnership: Construction 2025. London: Department for Business, Innovation & Skills.
   Google Scholar
• Blayse, A. M., & Manley, K. (2004). Key influences on construction innovation. Construction Innovation, 4(3), 143–154. doi:10.1108/14714170410815060
   Google Scholar
• Bovens, M., Hart, P., & Kuipers, S. (2006). The politics of policy evaluation. In M. Moran, M. Rein, & R. E. Goodin (Eds.), The Oxford handbook of public policy (pp. 319–335). Oxford: Oxford University Press.
   Google Scholar
• Briscoe, G., Dainty, A., & Millett, S. (2000). The impact of the tax system on self-employment in the British construction industry. International Journal of Manpower, 21(8), 596–614. doi:10.1108/01437720010379501
   Web of Science ®Google Scholar
• Cabinet Office. (2011). Government construction strategy. London: Cabinet Office.
   Google Scholar
• Cabinet Office. (2014). Government digital inclusion strategy. London: Cabinet Office.
   Google Scholar
• CIC. (2014). Roadmap for building information modelling strategic implementation in Hong Kong’s construction industry. Hong Kong Special Administrative Region: Construction Industry Council.
   Google Scholar
• Cruz-Jesus, F., Oliveira, T., & Bacao, F. (2012). Digital divide across the European union. Information & Management, 49, 278–291. doi:10.1016/j.im.2012.09.003
   Web of Science ®Google Scholar
• Cushman, M., & McLean, R. (2008). Guest editorial: Exclusion, inclusion and changing the face of information systems research. Information Technology and People, 21(3), 213–221. doi:10.1108/09593840810895993
   Google Scholar
• Davies, R., & 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. doi:10.1080/01446193.2013.848994
   Google Scholar
• Demian, P., & Walters, D. (2014). The advantages of information management through building information modelling. Construction Management and Economics, 32(12), 1153–1165. doi:10.1080/01446193.2013.777754
   Google Scholar
• van Deursen, A., & van Dijk, J. (2014). The digital divide shifts to differences in usage. New Media and Society, 16(3), 507–526. doi:10.1177/1461444813487959
   Web of Science ®Google Scholar
• van Deursen, A., & van Dijk, J. (2015). Toward a multifaceted model of internet access for understanding digital divides: an empirical investigation. The Information Society, 31, 379–391. doi:10.1080/01972243.2015.1069770
   Web of Science ®Google Scholar
• Dewan, S., & Riggins, F. J. (2005). The digital divide: Current and future research directions. Journal of the Association for Information Systems, 6(12), 298–337.
   Google Scholar
• Di Giacomo, E. (2015). BIM, trends from around the world. European BIM Summit, Barcelona 2015 – February 13. Retrieved June 16, 2016, from http://numerique.tech.fr/Barcelona_BIM_Summit_Feb_13th_EDG150213_P.pdf
   Google Scholar
• van Dijk, J. (1999). The network society: Social aspects of new media. Thousand Oaks, CA: SAGE.
   Google Scholar
• van Dijk, J. (2005). The deepening divide: Inequality in the information society. Thousand Oaks, CA: Sage.
   Google Scholar
• van Dijk, J., & Hacker, K. (2003). The digital divide as a complex and dynamic phenomenon. The Information Society, 19, 315–326. doi:10.1080/01972240309487
   Web of Science ®Google Scholar
• Dossick, C. S., & Neff, G. (2011). Messy talk and clean technology: Communication, problem-solving and collaboration using Building Information Modelling. Engineering Project Organization Journal, 1(2), 83–93. doi:10.1080/21573727.2011.569929
   Google Scholar
• Doumbouya, L., Gao, G., & Guan, C. (2016). Adoption of the Building Information Modeling (BIM) for construction project effectiveness: The review of BIM benefits. American Journal of Civil Engineering and Architecture, 4(3), 74–79. doi:10.11648/j.ajce.20160403.12
   Google Scholar
• Eadie, R., Browne, M., Odeyinka, H., McKeown, C., & 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. doi:10.1108/BEPAM-07-2013-0023
   Web of Science ®Google Scholar
• Edwards, T., Delbridge, R., & Munday, M. (2007). A critical assessment of the evaluation of EU interventions for innovation in the SME sector in Wales. Urban Studies, 44(12), 2429–2447. doi:10.1080/00420980701540960
   Web of Science ®Google Scholar
• Egan, J. (1998). Rethinking construction: Report of the construction task force. London: HMSO.
   Google Scholar
• Epstein, D., Nisbet, E. C., & Gillespie, T. (2011). Who’s responsible for the digital divide? Public perceptions and policy implications. The Information Society, 27, 92–104. doi:10.1080/01972243.2011.548695
   Web of Science ®Google Scholar
• European Commission. (2003). The new SME definition user guide & model declaration. European Commission. Retrieved February 1, 2017, from, https://web.archive.org/web/20060718032542/http://ec.europa.eu/enterprise/enterprise_policy/sme_definition/index_en.htm
   Google Scholar
• Fernie, S., Leiringer, R., & Thorpe, T. (2006). Change in construction: A critical perspective. Building Research & Information, 34(2), 91–103. doi:10.1080/09613210500491639
   Web of Science ®Google Scholar
• Fleet, G. J. (2012). Evidence of stalled ICT adoption and the facilitator ecommerce adoption model in SMEs. International Journal of the Academic Business World, 6(2), 7–18.
   Google Scholar
• Forman, C. (2005). The corporate digital divide: Determinants of internet adoption. Management Science, 51(4), 641–654. doi:10.1287/mnsc.1040.0343
   Web of Science ®Google Scholar
• Fournier, V., & Grey, C. (2000). At the critical moment: Conditions and prospects for critical management studies. Human Relations, 53(1), 7–32. doi:10.1177/0018726700531002
   Web of Science ®Google Scholar
• Fox, S. (2014). Getting real about BIM: Critical realist descriptions as an alternative to the naïve framing and multiple fallacies of hype. International Journal of Managing Projects in Business, 7(3), 405–422. doi:10.1108/IJMPB-12-2013-0073
   Google Scholar
• Foxell, S., & Cooper, I. (2015). Closing the policy gaps. Building Research & Information, 43(4), 399–406. doi:10.1080/09613218.2015.1041298
   Web of Science ®Google Scholar
• Gledson, B., Henry, D., & Bleanch, P. (2012). Does size matter? Experiences and perspectives of BIM implementation from large and SME construction contractors. In 1st UK Academic Conference on Building Information Management (BIM) 2012, 5–7 September 2012. Newcastle upon Tyne: Northumbria University.
   Google Scholar
• Green, S. D. (2011). Making sense of construction improvement. Oxford: Wiley-Blackwell.
   Google Scholar
• Green, S. D. (2013). At it again. Construction Research and Innovation, 4(3), 12–15.
   Google Scholar
• Hardie, M., & Newell, G. (2011). Factors influencing technical innovation in construction SMEs: An Australian perspective. Engineering, Construction and Architectural Management, 18(6), 618–636. doi:10.1108/09699981111180926
   Google Scholar
• Harty, C., & Whyte, J. (2010). The role of media in construction design work and ecologies of practice. American Society of Civil Engineers Journal of Construction and Engineering Management, 136(4), 468–476.
   Google Scholar
• Harty, C. F. (2005). Innovation in construction: A sociology of technology approach. Building Research and Information, 33(6), 512–522. doi:10.1080/09613210500288605
   Web of Science ®Google Scholar
• Harty, C. F. (2008). Implementing innovation in construction: Contexts, relative boundedness and actor-network theory. Construction Management and Economics, 26(10), 1029–1041. doi:10.1080/01446190802298413
   Google Scholar
• Heseltine, M. (2012). No stone unturned: In pursuit of growth. A report commissioned by the Prime Minister for the Chancellor of the Exchequer and the Secretary of State for Business. London: Crown.
   Google Scholar
• HM Government. (2011). Laying the foundations: A housing strategy for England. London: HM Government.
   Google Scholar
• HM Government. (2015). Digital build Britain: Level 3 building information modelling – strategic plan. London: HM Government.
   Google Scholar
• HM Treasury & BIS. (2011). The plan for growth. London: HM Treasury & Department for Business, Innovation & Skills (BIS), Crown.
   Google Scholar
• Hong, Y., Sepasgozar, S. M., & Akbarnezhad, A. (2016). Factors influencing BIM adoption in small and medium sized construction organizations. In Proceedings of the international symposium on automation and robotics in construction (pp. 452–461). IAARC. Retrieved from http://www.iaarc.org/publications/search.php?query=&publication=37.
   Google Scholar
• Hosseini, M. R., Banihashemi, S., Chileshe, N., Namzadi, M. O., Udaeja, C., Rameezdeen, R., & 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. doi:10.5130/AJCEB.v16i3.5159
   Web of Science ®Google Scholar
• Howlett, M., Ramesh, M., & Perl, A. (2009). Studying Public Policy: Policy cycles & policy subsystems. (3rd ed.). Toronto and London: Oxford University Press.
   Google Scholar
• Infrastructure and Projects Authority. (2016). Government construction Strategy 2016–20. London: Crown.
   Google Scholar
• Ingemansson Havenvid, M., Hulthén, K., Linné, Å, & Sundquist, V. (2016). Renewal in construction projects: Tracing effects of client requirements. Construction Management and Economics, 34(11), 790–807. doi:10.1080/01446193.2016.1208364
   Web of Science ®Google Scholar
• Jaradat, S., Whyte, J., & Luck, R. (2013). Professionalism in digitally mediated project work. Building Research & Information, 41(1), 51–59. doi:10.1080/09613218.2013.743398
   Web of Science ®Google Scholar
• Jensen, J. S., Gottlieb, S. C., & Thuesen, C. L. (2011). Construction sector development: Frames and governance responses. Building Research & Information, 39(6), 665–677. doi:10.1080/09613218.2011.621710
   Web of Science ®Google Scholar
• Khemlani, L. (2011). Preface. In C. Eastman, P. Teicholz, R. Sacks, & K. Liston (Eds.), BIM handbook: A guide to building information modelling (2nd ed., pp. xi–xiv). Hoboken, NJ: Wiley.
   Google Scholar
• Kim, P. K., & Park, K. S. (2013). BIM feasibility study for housing refurbishment projects in the UK. Organization, Technology and Management in Construction: An International Journal, 5, 765–774.
   Google Scholar
• Kokkonen, A., & Alin, P. (2016). Practitioners deconstructing and reconstructing practices when responding to the implementation of BIM. Construction Management and Economics, 34(7-8), 578–591. doi:10.1080/01446193.2016.1164327
   Web of Science ®Google Scholar
• Latham, M. (1994). Constructing the team: Joint review of procurement and contractual arrangements in the United Kingdom construction industry. London: HMSO.
   Google Scholar
• Linderoth, H. C. (2010). Understanding adoption and use of BIM as the creation of actor networks. Automation in Construction, 19(1), 66–72. doi:10.1016/j.autcon.2009.09.003
   Web of Science ®Google Scholar
• Lucchetti, R., & Sterlacchini, A. (2004). The adoption of ICT among SMEs: Evidence from an Italian survey. Small Business Economics, 23, 151–168. doi:10.1023/B:SBEJ.0000027667.55821.53
   Web of Science ®Google Scholar
• Mäki, T., & Kerosuo, H. (2015). Site managers’ daily work and the uses of building information modelling in construction site management. Construction Management and Economics, 33(3), 163–175. doi:10.1080/01446193.2015.1028953
   Web of Science ®Google Scholar
• Martin, L. M., & Halstead, A. (2004). Attracting micro-enterprises to learning: Community initiatives or growth incentives. Community, Work & Family, 7(1), 29–42. doi:10.1080/1366880042000200280
   Google Scholar
• McGraw-Hill Construction. (2009). The business value of BIM. New York: McGraw-Hill Construction.
   Google Scholar
• McGraw-Hill Construction. (2014). The business value of BIM for construction in major global markets. New York: McGraw-Hill Construction.
   Google Scholar
• Mellon, S., & Kouider, T. (2016). SMEs and Level 2 BIM, The way forward. In A. G. Garrigós, & T. Kouider (Eds.), Healthy buildings: Innovation, design & technology, ICAT 2016: Conference proceedings of the 6th international congress of architectural technology, University of Alicante 12–14 May 2016 (pp. 121–135). San Vicente del Raspeig: Universidad de Alicante.
   Google Scholar
• Miettinen, R., & Paavola, S. (2014). Beyond the BIM utopia: Approaches to the development and implementation of building information modeling. Automation in Construction, 43(1), 84–91. doi:10.1016/j.autcon.2014.03.009
   Web of Science ®Google Scholar
• Muir, A., & Oppenheim, C. (2002). National information policy developments worldwide II: Universal access – addressing the digital divide. Journal of Information Science, 28(4), 263–273.
   Web of Science ®Google Scholar
• Murray, M., & Langford, D. (Eds.). (2003). Construction reports 1944–98. Oxford: Blackwell.
   Google Scholar
• NBS. (2012). NBS national BIM report 2012. Newcastle: National Building Specification.
   Google Scholar
• NBS. (2014). NBS national BIM report 2014. Newcastle: National Building Specification.
   Google Scholar
• NFB. (2012). NFB BIM readiness survey 2012 – BIM: Ready or not? Crawley: National Federation of Builders.
   Google Scholar
• NFB. (2014). NFB BIM contractor survey final report. Crawley: National Federation of Builders.
   Google Scholar
• Office for National Statistics. (2016). Construction statistics annual table: Number 17: 2016. Retrieved February 1, 2017, from https://www.ons.gov.uk/businessindustryandtrade/constructionindustry/datasets/constructionstatisticsannualtables
   Google Scholar
• O’Leary, D. E. (2008). Gartner’s hype cycle and information system research issues. International Journal of Accounting Information Systems, 9(4), 240–252. doi:10.1016/j.accinf.2008.09.001
   Google Scholar
• Pearce, K. E., & Rice, R. E. (2013). Digital divides from access to activities: Comparing mobile and personal computer internet users. Journal of Communication, 63, 721–744. doi:10.1111/jcom.12045
   Web of Science ®Google Scholar
• Poirier, E., Forgues, D., & Staub-French, S. (2016). Collaboration through innovation: Implications for expertise in the AEC sector. Construction Management and Economics, 34(11), 769–789. doi:10.1080/01446193.2016.1206660
   Web of Science ®Google Scholar
• Poirier, E., Staub-French, S., & Forgues, D. (2015). Embedded contexts of innovation: BIM adoption and implementation for a specialty contracting SME. Construction Innovation, 15(1), 42–65. doi:10.1108/CI-01-2014-0013
   Google Scholar
• Qureshi, S. (2014). Overcoming technological determinism in understanding the digital divide: Where do we go from here? Information Technology for Development, 20(3), 215–217. doi:10.1080/02681102.2014.930981
   Web of Science ®Google Scholar
• Riese, M. (2008). One Island East, Hong Kong: A case study in construction virtual prototyping. In P. Brandon & T. Kocatürk (Eds.), Virtual futures for design, construction & procurement (pp. 54–71). Oxford: Blackwell Publishing Ltd.
   Google Scholar
• Ritchie, B., & Brindley, C. (2005). ICT adoption by SMEs: Implications for relationships and management. New Technology, Work and Employment, 20, 205–217. doi:10.1111/j.1468-005X.2005.00154.x
   Web of Science ®Google Scholar
• Saxon, R. (2013). Growth through BIM. London: Construction Industry Council.
   Google Scholar
• Selwyn, N. (2004). Reconsidering political and popular understandings of the digital divide. New Media & Society, 6(3), 341–362. doi:10.1177/1461444804042519
   Web of Science ®Google Scholar
• Sexton, M., & Barrett, P. (2003). A literature synthesis of innovation in small construction firms: Insights, ambiguities and questions. Construction Management and Economics, 21(6), 613–622. doi:10.1080/0144619032000134147
   Google Scholar
• Sexton, M., Barrett, P., & Aouad, G. (2006). Motivating small construction companies to adopt new technology. Building Research & Information, 34(1), 11–22. doi:10.1080/09613210500254474
   Web of Science ®Google Scholar
• Shibeika, A., & Harty, C. (2015). Diffusion of digital innovation in construction: A case study of a UK engineering firm. Construction Management and Economics, 33(5-6), 453–466. doi:10.1080/01446193.2015.1077982
   Web of Science ®Google Scholar
• Smiley, J.-P., Fernie, S., & Dainty, A. R. J. (2014). Understanding construction reform discourses. Construction Management and Economics, 32(7-8), 804–815. doi:10.1080/01446193.2014.909049
   Google Scholar
• Succar, B. (2009). Building information modelling framework: A research and delivery foundation for industry stakeholders. Automation in Construction, 18(3), 357–375. doi:10.1016/j.autcon.2008.10.003
   Web of Science ®Google Scholar
• Tang, P., Huber, D., Akinci, B., Lipman, R., & Lytle, A. (2010). Automatic reconstruction of as-built building information models from laser-scanned point clouds: A review of related techniques. Automation in construction, 19(7), 829–843. doi:10.1016/j.autcon.2010.06.007
   Web of Science ®Google Scholar
• Taylor, P. (2015). The importance of information and communication technologies (ICTs): An integration of the extant literature on ICT Adoption in small and medium enterprises. International Journal of Economics, Commerce and Management, 3(5), 274–295.
   Google Scholar
• Van Lente, H., Spitters, C., & Peine, A. (2013). Comparing technological hype cycles: Towards a theory. Technological Forecasting and Social Change, 80(8), 1615–1628. doi:10.1016/j.techfore.2012.12.004
   Web of Science ®Google Scholar
• Vega, A., & Chiasson, M. (2015). Towards a comprehensive framework for the evaluation of small and medium enterprise policy. Evaluation, 21(3), 359–375. doi:10.1177/1356389015593357
   Web of Science ®Google Scholar
• Wielicki, T., & Arendt, L. (2010). A knowledge-driven shift in perception of ICT implementation barriers: Comparative study of US and European SMEs. Journal of Information Science, 36(2), 162–174. doi:10.1177/0165551509354417
   Web of Science ®Google Scholar
• Wolstenholme, A. (2009). Never waste a good crisis: A review of progress since Rethinking Construction. London: Constructing Excellence.
   Google Scholar
• Wong, A. K., Wong, F. K., & Nadeem, A. (2010). Attributes of building information modelling implementations in various countries. Architectural Engineering and Design Management, 6(4), 288–302. doi:10.3763/aedm.2010.IDDS6
   Google Scholar