Journal of Management Research

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Barriers to Software Adoption: A Study of Building Information Modelling Technology in the Hong Kong Construction Industry


Affiliations
1 University of Canberra, Australia
2 School of Computing and Information Science, Caritas Institute of Higher Education, Hong Kong
3 International Graduate School of Business, University of South Australia, Australia
     

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As information technologies have been used by organizations to increase productivity, efficiency and effectiveness, Building Information Modelling (BIM) technology does so by using computer software technology to integrate construction processes built on coordinated and reliable information throughout the design and construction phases, and the operations of construction projects. Amongst the various academic researches on technology usage and adoption that are currently available, the Technology Acceptance Model (TAM) is most widely used by researchers to help understand system usage behavior. This research applied a theoretical extension of the TAM, i.e. TAM2, to the Hong Kong building and construction industry with the addition of factors, including perceived usefulness and usage intentions, to aid explaining readiness to use in relation to overall satisfaction, which consists of process satisfaction and outcome satisfaction. A quantitative analysis was conducted over a period of one year involving 203 validated responses from the Hong Kong building and construction industry to measure the effects of these variables. Correlation analysis was used to determine the effects of significant relationships. The findings support the hypotheses and also conclude with the validated expanded TAM2, which explains the more frequent adoption of BIM software technology in the Hong Kong building and construction industry than the original TAM or the TAM2. In the academic field, this research provides a further extension to TAM2 concluding a validated expanded TAM2. In professional practices, this research provides contributions to improving the understanding of user adoption behavior of BIM Technology in the Hong Kong Building and Construction Industry.

Keywords

Software Adoption, Building Information Modelling, Technology Acceptance Model, Construction Industry.
User
Notifications

  • Agarwal, R. and Prasad J. (1997), The Role of Innovation Characteristics and Perceived Voluntariness in the Acceptance of Information Technologies, Decision Science, 28(3): 557–582.

  • Bratton, J. (2009), Making the Transition from CAD to BIM, EC&M Magazine. Accessed on March 1, 2009, from http:// ecmweb.com/design_engineering/bim_switching_benefits_0301.

  • Chan, S. C. and Lu, M. T. (2004), Understanding Internet Banking Adoption and Use Behavior: A Hong Kong Perspective, Journal of Global Information Management, 12(3): 21–43.

  • CIRC Ed. (2001), Construct for Excellence – Report of the Construction Industry Review Committee, Construction Industry Review Committee, Hong Kong.

  • Collis, J. and Hussey, R. (2003), Analysing Quantitative Data, Business Research, 7: 195–251.

  • Davis, F. D. (1989), Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology, MIS Quarterly, 13(3): 319–339.

  • 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): 982–1002.

  • Doherty, P. (1997), Cyberplaces: The Internet Guide for Architects, Engineer and Contractors, R.S. Means, Kingston, MA.

  • Duyshart, B. (1997), The Digital Document: A Reference for Architects, Engineers, and Design Professionals, Butterworth-Heinemann, Oxford.

  • 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, John Wiley and Sons., NY.

  • Fayad, R. (2006), Extension of the Technology Acceptance Model in Electronic Commerce Business Information Systems, Utah State University.

  • Hjelt, M. and BjÖrk , B. C. (2006), Experiences of EDM Usage in Construction Projects. ITcon, 11.

  • Hong Kong Green Building Council Ed. (2011), HKGBC Homepage. Accessed on June 1, 2011, from http://www.usgbc.org.hk

  • Hopkins, W. G. (2002), A Scale of Magnitudes for Effect Statistics, Internet Society for Sports Science. Available from: http:// sportsci.org/resource/stats/effectmag.html.

  • Huang, T., Kong, S. C. W., Guo, H. L., Baldwin, A. and Li, H. (2007), A Virtual Prototyping System for Simulating Construction Processes, Automation in Construction, 16(5): 576–585.

  • IAI (2002), International Alliance for Interoperability. Accessed on December 1, 2009, from http://iaiweb.vtt.fi/.

  • Kam, C. (2005), Dynamic Decision Breakdown Structure: Ontology, Methodology, and Framework for Information Management in Support of Decision-Enabling Tasks in the Building Industry, CIFE, Stanford University.

  • Li, H., Lu, W. and Huang, T. (2009), Rethinking Project Management and Exploring Virtual Design and Construction as a Potential Solution, Construction Management and Economics, 27(4): 363–371.

  • Manrai, L. A. and Manrai, A. K. (2001), Marketing Opportunities and Challenges in Emerging Markets in the New Millennium: A Conceptual Framework and Analysis, International Business Review, 10: 493–504.

  • Mooney, J. G., Gurbaxani, V. and Kraemer, K. L. (1996), A Process Orientated Framework for Assessing the Business Value of Information Technology, Advances in Information Systems, 27: 68–81.

  • Peansupap, V. and Walker, D. H. T. (2005), Factors Enabling Information and Communication Technology Diffusion and Actual Implementation in Construction Organisations, ITcon, 10: 193–218.

  • Skibniewski, M. J. and Abduh, M. (2000), Web-based Project Management for Construction: Search for Utility Assessment Tools, in Love, P. E. D. (Ed.), Proceedings of INCITE 2000 Conference on Implementing IT to Obtain a Competitive Advantage in the 21st Century, pp. 56–77, The Hong Kong Polytechnic University Press, Hong Kong.

  • Taylor, S. and Todd, P. A. (1995), Assessing IT Usage: The Role of Prior Experience, MIS Quarterly, 19(4): 561–570.

  • Tsang, D. Y. K. (2007), The 2007-2008 Policy Address: A New Direction for Hong Kong, pp. 18–19, Office of the Hong Kong Special Administrative Region.

  • US Green Building Council (2011), USGBC Homepage. Accessed on June 1, 2011, from http://www.usgbc.org/.

  • Venkatesh, V. (2000), Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model, Information Systems Research, 11(4): 342–365.

  • Venkatesh, V. and Davis, F. D. (2000), A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies, Management Science, 46: 186–204.

  • Venkatesh, V., Morris, M. G., Davis, G. B. and Davis, F. D. (2003), User Acceptance of Information Technology: Towards a Unified View, MIS Quarterly, 27(3): 425–478.

  • Westland, J. C. and Clark, T. H. K. (2000), Global Electronic Commerce: Theory and Case Studies, MIT Press, Cambridge, MA.

  • Wong, A. K. D., Wong, F. K.W. and Nadeem, A. (2009), Attributes of Building Information Modelling and its Development in Hong Kong. The Hong Kong Institute of Engineers Transactions, 16(2): 38–45.

  • Wong, A. K. D., Wong, F. K.W. and Nadeem, A. (2011), Building Information Modelling for Tertiary Construction Education in Hong Kong, ITcon, 16: 467–476.

  • Wong, A. K. D., Wong, F. K. W. and 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(1): 61–76.

  • Yi, M. Y., Jackson, J. D., Park, J. S. and Probst, J. C. (2006), Understanding Information Technology Acceptance by Individual Professionals: Toward an Integrative View, Information & Management, (3): 350–363.

  • Young, N. W., Jones, S. and Bernstein, H. M. (2008), Building Information Modeling (BIM): Transforming the Design and Construction Industry to Achieve Greater Industry Productivity, McGraw-Hill Construction.


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  • Barriers to Software Adoption: A Study of Building Information Modelling Technology in the Hong Kong Construction Industry

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Authors

Canon Tong
University of Canberra, Australia
Anthony Wong
School of Computing and Information Science, Caritas Institute of Higher Education, Hong Kong
Wendy Lee
International Graduate School of Business, University of South Australia, Australia

Abstract


As information technologies have been used by organizations to increase productivity, efficiency and effectiveness, Building Information Modelling (BIM) technology does so by using computer software technology to integrate construction processes built on coordinated and reliable information throughout the design and construction phases, and the operations of construction projects. Amongst the various academic researches on technology usage and adoption that are currently available, the Technology Acceptance Model (TAM) is most widely used by researchers to help understand system usage behavior. This research applied a theoretical extension of the TAM, i.e. TAM2, to the Hong Kong building and construction industry with the addition of factors, including perceived usefulness and usage intentions, to aid explaining readiness to use in relation to overall satisfaction, which consists of process satisfaction and outcome satisfaction. A quantitative analysis was conducted over a period of one year involving 203 validated responses from the Hong Kong building and construction industry to measure the effects of these variables. Correlation analysis was used to determine the effects of significant relationships. The findings support the hypotheses and also conclude with the validated expanded TAM2, which explains the more frequent adoption of BIM software technology in the Hong Kong building and construction industry than the original TAM or the TAM2. In the academic field, this research provides a further extension to TAM2 concluding a validated expanded TAM2. In professional practices, this research provides contributions to improving the understanding of user adoption behavior of BIM Technology in the Hong Kong Building and Construction Industry.

Keywords


Software Adoption, Building Information Modelling, Technology Acceptance Model, Construction Industry.

References