Building Information Modeling: Quality of life

Authors

  • Roshana Takim Centre of Construction Management Studies, FSPU, Universiti Teknologi MARA
  • Mohd Harris Centre of Postgraduate Studies, FSPU, Universiti Teknologi MARA
  • Abdul Hadi Nawawi Centre of Estate Management Studies, FSPU, Universiti Teknologi MARA

DOI:

https://doi.org/10.21834/ajqol.v1i1.30

Abstract

The adoption of Building Information Modeling (BIM) constitutes a paradigm shift in the architectural, engineering and construction (AEC) industry. Broader BIM adoption will transform construction processes to achieve greater efficiency to improve the quality of life (QOL) of construction stakeholders. This paper seeks to identify determinant factors and implementation gaps of BIM in the AEC industry.  A case study was conducted through a preliminary workshop organised by CIDB among the five potential stakeholders from Malaysian public and private. Finally, the workshop suggested an ‘affordable BIM concept' with ‘pay-per-use or periodical license' method to be adopted for SMEs contractors.

2398-4295 © 2016. The Authors. Published for AMER ABRA by e-International Publishing House, Ltd., UK.. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia.

Keywords: Building Information Modeling (BIM); BIM influencing model; construction; technology

References

Abukhzam, M., and Lee, A. (2010). Workforce attitude on technology adoption and diffusion. The Built & Environment Review, 3.

Alshawi, M., Lou, E.C.W., Khosrowshahi, F., & Underwood, J. (2010). Strategic positioning of IT in construction: The way forward. Proceedings of the International Conference on Computing in Civil and Building Engineering, Nottingham University Press.

Arayici, Y., Coates, P., Koskela, L., & Kagioglou, M. (2012). BIM adoption and implementation for architectural practices. London: Prentice Hall.

BTC (2005). What is technology adoption? Bridges to Technology Corporation, Ontario, Canada Retrieved from http://www.bridges-to-technology.com/page21.html

CIDB (2013). Workshop of BIM Portal and Collaboration Platform for Affordable BIM, 9th-11th January 2013, Holiday Inn Glenmarie, Shah Alam, Selangor. Kuala Lumpur: CIDB Internal Reports.

Graphisoft website (2013). Retrieved from http://www.graphisoft.com/company/about_graphisoft/

Gu, N., & London, K. (2010). Understanding and Facilitating BIM adoption in the AEC Industry. Automation in Construction, 19, 988-999.

Davis F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technologies. MIS Quarterly, 13(3), 319-340.

Hasan, H. (2012). Opening keynote address, construction, technology & services conference (CTS), 11th & 12th December 2012, Kuala Lumpur, Malaysia. Kuala Lumpur: CIDB Publications.

Howell, I., & Batcheler, B. (2005). Building information modelling two years later – huge potential, some success and several limitations. USA: Newforma Publications.

Khosrowshahi, F., and Arayici, F. (2012). Roadmap for implementation of BIM in the UK Construction Industry. Engineering, Construction and Architectural Management, 19(6), 610-635.

Majid, T. A., Azman, M. N. A., Zakaria S.A.S., Yahya, A. S., Zaini, S. S., Ahamad, M. S. S., & Hanafi, M. H. (2011). Quantitative Analysis on the Level of IBS Acceptance in Malaysian Construction Industry. Journal of Engineering Science and Technology, 6(2), 179-190.

Mercer (2007). Defining quality of living, mercer human resources consulting LLC. Retrieved from http://www.imercer.com/uploads/common/pdfs/definingqualityofliving.pdf.

Parente, S. L., & Prescott, E. C. (1994). Barriers to technology adoption and development. The Journal of Political Economy, 102(2), 298-321.

Pemandu (2011). Economic Transformation Plan- The ROADMAP for Malaysia: A special report, performance management and delivery unit (PEMANDU).

RISM (2013). Sub-Committee meeting, 19th January 2013, RISM Headquarters, Petaling Jaya. Selangor: RISM BIM Sub-Committee Publications.

Shuratman, Z. (2012). Building Information Modelling in Local Construction Industry. Ph.D. Thesis, University Technology Malaysia.

Suebsin, C., & Gerdsri, N. (2009). Key factors driving the success of technology adoption: Case examples of ERP Adoption, PICMET 2009 Proceedings, August 2-6, Portland. USA: Oregon.

Teng, J. T. C., & Nelson, A. (1996) The Influence of Organisational Factors on CASE technology adoption. Journal of Information Technology Management, 7.

Weygant, R. S. (2011). BIM content development, standards, strategies, and best practices, construction specification institute.

Wong, A. K. D., Wong, F. K. W., & Nadeem, A. (2009). Comparative roles of major stakeholders for the implementation of BIM in various countries. Proceedings of the International Conference on Changing Roles: New Roles, New Challenges, Noordwijk Aan Zee, The Netherlands, 5-9 October.

Wong, A. K. D., Wong, F. K. W., & Nadeem, A. (2011). Government Roles in Implementing Building Information Modelling Systems: Comparison between Hong Kong and the United States. Construction Innovation, Information, Process, Management, 11

Published

2016-05-01