Using a TAM-TOE model to explore factors of Building Information Modelling (BIM) adoption in the construction industry

    Xuan Qin   Affiliation
    ; Ye Shi   Affiliation
    ; Kuncan Lyu   Affiliation
    ; Yiyi Mo   Affiliation


Building Information Modelling (BIM) has been adopted as the main technology in the construction industry in many developed countries due to its notable advantages. However, its applications in developing countries are limited. This paper aims to investigate factors which impact on BIM adoption in the construction industry. Twelve external variables were identified by an integrated TAM (Technology Acceptance Model) and TOE (Technology Organization Environment) framework and a systematic review of past studies. A survey was conducted in development, construction, design and consulting companies to investigate the impacts of these 12 external variables on BIM adoption. Using the interval Decision Making Trial and Evaluation Laboratory (DEMATEL) method, retrieved 120 completed questionnaires were analysed. The “Requirements from national policies” was found to be the most significant driving variable of BIM adoption by investigated companies. A further simulation analysis revealed that the “Intention to Use” BIM varied significantly with the change of “Requirements from national policies”, “Standardization of BIM”, and “Popularity of BIM in the industry”. The results lead to the conclusion that government incentives play critical roles in BIM adoption in China. Policy makers could put more efforts into motivation strategies, standardization measures, and BIM culture cultivation to promote BIM applications in the construction industry.

Keyword : building information modelling, technology acceptance model, TAM-TOE model, decision making trial and evaluation laboratory, construction organization

How to Cite
Qin, X., Shi, Y. ., Lyu, K. ., & Mo, Y. . (2020). Using a TAM-TOE model to explore factors of Building Information Modelling (BIM) adoption in the construction industry. Journal of Civil Engineering and Management, 26(3), 259-277.
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Mar 30, 2020
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Ahmi, A., Saidin, S. Z., & Abdullah, A. (2014). IT adoption by internal auditors in public sector: A conceptual study. Procedia-Social and Behavioral Sciences, 164, 591–599.

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, 20(2), 189–195.

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.

Bosch, A., Volker, L., & Koutamanis, A. (2015). BIM in the operations stage: Bottlenecks and implications for owners. Built Environment Project and Asset Management, 5(3), 331–343.

Cao, D., Wang, G., Li, H., Skitmore, M., Huang, T., & Zhang, W. (2015). Practices and effectiveness of building information modelling in construction projects in China. Automation in Construction, 49, 113–122.

Chien, K.-F., Wu, Z.-H., & Huang, S.-C. (2014). Identifying and assessing critical risk factors for BIM projects: Empirical study. Automation in Construction, 45, 1–15.

Construction Enterprise BIM Technology Application Status Research Group. (2015). Research on the application status of BIM technology in the construction enterprise.

Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: a comparison of two theoretical models. Management Science, 35(8), 982–1003.

Ding, Z., Zuo, J., Wu, J., & Wang, J. (2015). Key factors for the BIM adoption by architects: A China study. Engineering, Construction and Architectural Management, 22(6), 732–748.

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.

Drazin, R. (1991). The processes of technological innovation. The Journal of Technology Transfer, 16(1), 45–46.

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.

Eadie, R., Odeyinka, H., Browne, M., McKeown, C., & Yohanis, M. (2014). Building information modelling adoption: An analysis of the barriers to implementation. Journal of Engineering and Architecture, 2(1), 77–101.

Edirisinghe, R., & London, K. (2015). Comparative analysis of international and national level BIM standardization efforts and BIM adoption. In Proceedings of the 32nd CIB W78 Conference, Eindhoven, The Netherlands.

Feng, J. (2014). Research on project management maturity model based on BIM technology. Kunming University of Science and Technology, Kunming, China.

Feng, M., & Pi, W. (2013). An empirical study on the hierarchical dynamic competency about enterprise managers-based on the DEMATEL analysis model. East China Economic Management, 6, 129–137.

Forsythe, P., Sankaran, S., & Biesenthal, C. (2015). How far can BIM reduce information asymmetry in the Australian construction context? Project Management Journal, 46(3), 75–87.

Gangwar, H., Date, H., & Ramaswamy, R. (2015). Understanding determinants of cloud computing adoption using an integrated TAM-TOE model. Journal of Enterprise Information Management, 28(1), 107–130.

Gao, P. R., & Lu, X. Y. (2014). Theory and application study on extended DEMATEL method based on interval number. Operations Research and Management Science, 3(1), 44–50.

Gilligan, B., & Kunz, J. (2007). VDC use in 2007: Significant value, dramatic growth, and apparent business opportunity (Technical Report). CIFE.

Gu, N., & London, K. (2010). Understanding and facilitating BIM adoption in the AEC industry. Automation in Construction, 19(8), 988–999.

Haraguchi, L. (2016). BIM implementation – A bibliographic study of the benefits and costs involved. Journal of Civil Engineering and Architecture, 10(007), 755–761.

HKCIC. (2014). Roadmap for building information modelling strategic implementation in Hong Kong’s construction industry. Hong Kong Construction Industry Council.

Hosseini, M. R., Azari, E., Tivendale, L., & Chileshe, N. (2015). Barriers to adoption of building information modeling (BIM) in Iran: Preliminary results. In The 6th International Conference on Engineering, Project, & Production Management (EPPM2015). Griffith School of Engineering, Griffith University.

Hsiao, C. H., & Yang, C. (2011). The intellectual development of the technology acceptance model: A co-citation analysis. International Journal of Information Management, 31(2), 128–136.

Le, Y., Zheng, X., & Li, Y. (2018). Study on the value flows and driver paths of BIM technology application based on SVN. Journal of Industrial Engineering and Engineering Management, 21(1), 71–78.

Lee, S., Yu, J., & Jeong, D. (2013). BIM acceptance model in construction organizations. Journal of Management in Engineering, 31(3), 04014048.

Lee, Y.-C., Li, M.-L., Yen, T.-M., & Huang, T.-H. (2010). Analysis of adopting an integrated decision making trial and evaluation laboratory on a technology acceptance model. Expert Systems with Applications, 37(2), 1745–1754.

Li, J. (2014). Hinder research of BIM technology diffusion (Master’s thesis). Harbin Institute of Technology, Harbin, China.

Li, Y. (2015). BIM Application in the building construction enterprise (Master’s thesis). Wuhan University of Science and Technology, Wuhan, China.

Li, Y., Liao, Z., & Yuan, H. (2014a). Investigating the Impacts of BIM on project parties and its application. Construction Technology, 43(6), 522–523.

Li, J., Hou, L., Wang, X., Wang, J., Guo, J., Zhang, S., & Jiao, Y. (2014b). A project-based quantification of BIM benefits. International Journal of Advanced Robotic Systems, 11(8), 123.

Liu, H. J., Wang, X., & Yang, Y. (2011). Strategy research on manufacture ERP planning based on TOE-TAM model. Science and Technology Management Research, 13, 163–166.

Liu, Y., Van Nederveen, S., & Hertogh, M. (2017). Understanding effects of BIM on collaborative design and construction: An empirical study in China. International Journal of Project Management, 35(4), 686–698.

Lyu, K. C., Qin, X., & Wang, F. H. (2017). A comparative study on BIM application modes based on social network analysis. Building Science, 33(2), 138–147.

McGraw-Hill Construction. (2012). The business value of BIM in North America: Multi-year trend analysis and user ratings (2007–2012).

Mehran, D. (2016). Exploring the adoption of BIM in the UAE construction industry for AEC firms. Procedia Engineering, 145, 1110–1118.

MOHURD. (2015). China construction industry information development report: BIM’s deep application and development. Ministry of housing and urban-rural development, China.

Morin, G. (2015). BIM in geotechnics: The benefits of including geotechnical data in building information modelling. GeoStrata – Geo Institute of ASCE, 19(6), 58–62.

Park, J., Lee, H., & Kwak, P. (2015). Case study on the application of BIM in Korea’s civil engineering and improvement of interoperability of BIM models. International Journal of Software Engineering and its Applications, 9(10), 29–38.

Qin, X., Mancini, M., & Travaglini, A. (2016). A comparative study on barriers between China and Italy in BIM adoption from the construction market perspective. Chinese Journal of Management, 13(11), 1718–1721.

Rogers, J., Chong, H.-Y., & Preece, C. (2015). Adoption of building information modelling technology (BIM) perspectives from Malaysian engineering consulting services firms. Engineering, Construction and Architectural Management, 22(4), 424–445.

Salleh, H., & Phui Fung, W. (2014). Building Information Modelling application: Focus-group discussion. Građevinar, 66(08), 705–714.

Shanghai Construction Industry Association, & Shanghai Luban Consulting Company. (2014). 2014 annual research report on BIM technology application status in construction enterprises.

Shen, L., Edirisinghe, R., & Yang, M. (2016). An investigation of BIM readiness of owners and facility managers in Singapore: Institutional case study. In CIB World Building Congress, Tampere, Finland.

Sheppard, B. H., Hartwick, J., & Warshaw, P. R. (1988). The theory of reasoned action: A meta-analysis of past research with recommendations for modifications and future research. Journal of Consumer Research, 15(3), 325–343.

Singh, V., & Holmström, J. (2015). Needs and technology adoption: observation from BIM experience. Engineering, Construction and Architectural Management, 22(2), 128–150.

Songer, A., Young, R., & Davis, K. (2001). Social architecture for sustainable IT implementation in AEC/EPC. In Proceedings of IT in Construction of Africa, Mpumalunga, South Africa.

Stanley, R., & Thurnell, D. P. (2014). The benefits of, and barriers to, implementation of 5D BIM for quantity surveying in New Zealand. Construction Economics and Building, 14(1), 105–117.

Succar, B., & Kassem, M. (2015). Macro-BIM adoption: Conceptual structures. Automation in Construction, 57, 64–79.

Sun, C.-C. (2015). Identifying critical success factors in EDA industry using DEMATEL method. International Journal of Computational Intelligence Systems, 8(2), 208–218.

Tian, C. (2014). Diffusion and application of building information model technology. Xi’an University of Architecture and Technology, Xi’an, China.

Tornatzky, L. G., & Fleischer, M. (1990). The processes of technological innovation. Lexington Books.

Tseng, M.-L. (2009). Using the extension of DEMATEL to integrate hotel service quality perceptions into a cause–effect model in uncertainty. Expert Systems with Applications, 36(5), 9015–9023.

Venkatesh, V., & Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions. Decision Sciences, 39(2), 273–315.

Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186–204.

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478.

Wang, Y. (2013). BIM technology adoption model and implication research. Harbin Institute of Technology, Harbin, China.

Won, J., Lee, G., Dossick, C., & Messner, J. (2013). Where to focus for successful adoption of building information modeling within organization. Journal of Construction Engineering and Management, 139(11), 04013014.

Xu, F. (2012). Research on organizational information system adoption based on integrated TOE framework and UTAUT model. Shandong University, Jinan, China.

Xu, B. (2015). Research on BIM application status and influence mechanism of Chinese construction industry. Construction Economy, 36(3), 10–14.

Xu, H., Feng, J., & Li, S. (2014). Users-orientated evaluation of building information model in the Chinese construction industry. Automation in Construction, 39, 32–46.

Yalcinkaya, M., & Singh, V. (2015). Patterns and trends in building information modeling (BIM) research: A latent semantic analysis. Automation in Construction, 59, 68–80.

Yamazaki, Y., Tabuchi, T., Kataoka, M., & Shimazaki, D. (2014). 3D/BIM applications to large-scale complex building projects in Japan. International Journal of High-Rise Buildings, 3(4), 311–323.

Yang, L. (2015). Research on construction enterprise acceptance of BIM technology. Construction Economy, 36(7), 21–26.

Zheng, S., Si, H., & Zhang, L. (2016). The empirical research of BIM technology adoption intention based on UTAUT. Science and Technology Management Research, 19, 230–235 (in Chinese).

Zuhairi, A. H., Marshall-Ponting, A., Ahmad, T. H., Nasly, M. A., & Zahrizan, Z. (2014). Exploring the barriers and driving factors in implementing Building Information Modelling (BIM) in the Malaysian construction industry – a preliminary study. Journal of the Institution of Engineers, 75(1), 1–10.