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Factors influencing the adoption of Building Information Modelling (BIM) in the South African Construction and Built Environment (CBE) from a quantity surveying perspective

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Warianty tytułu
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EN
Abstrakty
EN
The construction industry has often been described as stagnant and out-of-date due to the lack of innovation and innovative work methods to improve the industry (WEF, 2016; Ostravik, 2015). The adoption of Building Information Modelling (BIM) within the construction industry has been relatively slow (Cao et al., 2017), particularly in the South African Construction and Built Environment (CBE) (Allen, Smallwood & Emuze, 2012). The purpose of this study was to determine the critical factors influencing the adoption of BIM in the South African CBE, specifically from a quantity surveyor’s perspective, including the practical implications. The study used a qualitative research approach grounded in a theoretical framework. A survey questionnaire was applied to correlate the interpretation of the theory with the data collected (Naoum, 2007). The study was limited to professionals within the South African CBE. The study highlighted that the slow adoption of BIM within the South African CBE was mainly due to a lack of incentives and subsequent lack of investment towards the BIM adoption. The study concluded that the South African CBE operated mainly in silos without centralised coordination. The BIM adoption was only organic. Project teams were mostly project orientated, seeking immediate solutions, and adopted the most appropriate technologies for the team’s composition. The study implies that the South African CBE, particularly the Quantity Surveying profession, still depends heavily on other roleplayers in producing information-rich 3D models. Without a centralised effort, the South African Quantity Surveying professionals will continue to adopt BIM technology linearly to the demand-risk ratio as BIM maturity is realised in the South African CBE.
Rocznik
Strony
142--150
Opis fizyczny
Bibliogr. 30 poz., tab., wykr.
Twórcy
autor
  • University of the Free State, South Africa
  • University of the Free State, South Africa
  • University of the Free State, South Africa
Bibliografia
  • Abubakar, M., Ibrahim, Y. M., Kado, D., & Bala, K. (2014). Contractors Perception of the Factors Affecting Building Information Modelling (BIM) Adoption in the Nigerian Construction Industry. Computing in Civil and Building Engineering, 167-178.
  • Al Safarini, N., Hasan, A., Sakhrieh, A., Alnahhal, M., & Al Hazza, M. (2021). Crucial Role of Efficient Communication on Construction Projects Progress, Deliverablesand Conflicts Reduction in the United Arab Emirates. Polish Journal of Management Studies, 23(1), 9-22.
  • Allen, C., Smallwood, J., & Emuze, F. (2012). Building Information Modelling: South African architect’s and contractor’s perceptions and practices. South Africa: Nelson Mandela Metropolitan University.
  • ASAQS – The South African Association of Quantity Surveying (2018). Announcing the ASAQS Elemental Class system. Retrieved from https://www.asaqs.co.za/news/395452/Announcing-the-ASAQS-Elemental-Class-system.htm
  • Bernstein, P. (2015). TEDx Talks. The Future of Making Buildings. Retrieved from https://www.youtube.com/watch?v=Kg0gbG1DAkk
  • Cao, D., Li, H., Wang, G., & Huang, T. (2017). Identifying and contextualising the motivations for BIM implementation in construction projects: An empirical study in China. International Journal of Project Management, 35(4), 658-669.
  • Du Plessis, H. B. (2019). Facilitation of construction project management through building contracts: A South African perspective on the locally developed suites of contracts. Acta Structilia, 26(1), 120147. doi: 10.18820/24150487/as26i1.5
  • Du Plessis, H. B., & Oosthuizen, P. M. (2018). Construction project management through building contracts, a South African perspective. Acta Structilia, 25(1), 152181. doi: 10.18820/24150487/as25i1.6
  • Eastman, Ch., Teicholz, P., Sacks, R., & Liston, K. (2011). BIM handbook, a guide to building information modelling for owners, designers, engineers, contractors, and facility Managers. 2nd ed. John Wiley & Sons.
  • Exactal (2018). Digital Drawing File Optimisation. For Measurement & Estimating Purposes Simple tips for a collaborative approach to improved drawing file intelligence. CostX6.7 Exactal Technologies Pty Ltd.
  • Haque, M. E., & Mishra, R. (2007). 5D virtual construction: Designer/constructors perspective’. In 10th International Conference on Computer and Information Technology, 1-4.
  • Kocakaya, M. N., Namli, E., & Isikdag, U. (2019). Building Information Management (BIM). A new approach to Project Management. Journal of Sustainable Construction Materials and Technologies, 4(1), 323- 332.
  • Leedy, P. D., & Ormond, J. E. (2010). Practical research, planning and design. 11th ed. Malaysia: Pearson Education Limited.
  • Malleson, A. (2018). The National BIM Report 2018. National Building Specification (NBS). RIBA Enterprises Ltd. Retrieved from https://www.thenbs.com/knowledge/the-national-bim-report-2018
  • Maritz, M. J., & Siglé, H. M. (2016). Quantity surveying in South Africa. Pretoria: Construction Economics Associates (Pty) Ltd.
  • Mayouf, M., Gerges, M., & Cox, S. (2019). 5D BIM: an investigation into the integration of quantity surveyors within the BIM process. Journal of Engineering Design and Technology, 17(3), 537-553.
  • Naoum, S. G. (2007). Dissertation Research & Writing for Construction Students. 2nd ed. Elsevier Ltd.
  • Odubiyi, T. B., Aigbavboa1, C., Thwala, W., & Netshidane N. (2019). Strategies for building information modelling adoption in the South African construction industry. Conference. Modular and Offsite Construction (May 21 -24). Banff Springs, Canada.
  • Ostravik, F. (2015). Incentives for innovation in construction. In F. Ostravik, A. Dainty C. & Abbott (Eds.), Construction Innovation (pp. 13-28). United Kingdom: Wiley Balckwell.
  • Panuwatwanich, K., Wong, M. L., Stewart, R. A., & Mccarthy, T. J. (2013). Integrating building information modelling (BIM) into engineering education: an exploratory study of industry perceptions using social network data Publication Details. Retrieved from http://ro.uow.edu.au/eispapers/1920
  • Potgieter, P. (2017). The conflicted state of BIM in South Africa. Retrieved from http://www.ee.co.za/article/conflicted-state-bim-south-africa.html
  • RICS – Royal Institute of Chartered Surveyors (2007). Quantity surveyor services. Royal Institute of Chartered Surveyors. Retrieved from https://www.rics.org/globalassets/rics-website/media/upholding-professional-standards/sector-standards/construction/ quantity-surveyor-services-rics.pdf
  • RICS – Royal Institute of Chartered Surveyors (2013). Design and specification. RICS Professional Guidance, UK. London, UK: RICS.
  • Sacks, R., Eastman C., Lee G., & Teicholz, P. (2018). BIM handbook, a guide to building information modeling for owners, designers, engineers, contractors, and facility Managers. 3rd ed. Hoboken, NJ: Wiley.
  • Smith, P. (2016). Project Cost Management with 5D BIM. Procedia – Social and Behavioural Sciences, 226, 193- 200.
  • South Africa (2021). Statistics South Africa. Statistical Release P0441, Gross domestic product. 8 June 2021. Retrieved from http://www.statssa.gov.za/publications/P0441/P04411stQuarter2021.pdf
  • The Association of South African Quantity Surveyors (2017). The conflicted state of BIM in South Africa. Retrieved from https://www.asaqs.co.za/news/348631/The-conflicted-state-of-BIM-in-South-Africa.htm?page=SalarySurveyReport
  • Trobia, A. (2008). Nonprobability sampling. In P. J. Lavrakas (Ed.), Encyclopedia of survey research methods (pp. 784-785). Thousand Oaks, CA: Sage Publications, Inc.
  • Waterhouse, R. (2019). The National BIM Report 2019. National Building Specification (NBS). RIBA Enterprises Ltd. Retrieved from https://www.thenbs.com/knowledge/national-bim-report-2019
  • WEF – World Economic Forum (2018). The Fourth Industrial Revolution is about to hit the construction industry. Here’s how it can thrive. Retrieved from https://www.weforum.org/agenda/2018/06/construction-industry-future-scenarios-labourtechnology/
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-4289e54f-08f2-4643-be6e-aadb659912bc
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