Emerging information technology acceptance model for the development of smart construction system
Abstract
The potential of emerging information technology has been proposed by many researchers and practitioners in the construction industry, including smart construction. Meanwhile, emerging information technology acceptance and use is one of the major subjects for current smart construction study and practice. Furthermore, although there are many potential applications for and benefits of emerging information technology in the development of smart construction system, the current issue is that it is unclear why this technology is adopted, and that the factors that enhance its implementation are unknown. Therefore, an emerging information technology acceptance model (EITAM) was proposed, and our hypotheses were tested by structural equation modeling (SEM) based on an open-ended questionnaire survey. This study identified the factors that affect emerging information technology acceptance from engineering construction technology and innovation professionals. The EITAM evaluation results can be used to develop an emerging information technology acceptance strategy that is suitable for continual smart construction promotion. Finally, this study can provide guidance to smart construction developers to establish an effective technological integration plan.
Keyword : technology acceptance model (TAM), information technology, construction system, structural equation modeling (SEM)
How to Cite
Yang, Z., Wang, Y., & Sun, C. (2018). Emerging information technology acceptance model for the development of smart construction system. Journal of Civil Engineering and Management, 24(6), 457-468. https://doi.org/10.3846/jcem.2018.5186
This work is licensed under a Creative Commons Attribution 4.0 International License.
References
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Davis, F. D. 1989. Perceived usefulness, perceived ease of use and user acceptance of information technology, MIS Quartely 13(3): 319–340. https://doi.org/10.2307/249008
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. https://doi.org/10.2307/249008
Dinev, T.; Hu, Q. 2007. The centrality of awareness in the formation of user behavioral intention toward protective information technologies, Journal of the Association for Information Systems 8(7): 386–408. https://doi.org/10.17705/1jais.00133
Ford, D. N.; Pena, F. 1994. Design of a proactive cost feedback system for construction project management, in Proceedings of the 1st Congress on Computing in Civil Engineering, 1994, Washington DC, USA, 1365–1372.
Fornell, C.; Larcker, D. F. 1981. Evaluating structural equation models with unobservable and measurement error, Journal of Marketing Research 18: 39–51. https://doi.org/10.2307/3151312
Froese, T. M. 2010. The impact of emerging information technology on project management for construction, Automation in Construction 19(5): 531–538. https://doi.org/10.1016/j.autcon.2009.11.004
Ghazizadeh, M.; Lee, J. D.; Boyle, L. N. 2012. Extending the technology acceptance model to assess automation, Cognition Technology & Work 14(1): 39–49. https://doi.org/10.1007/s10111-011-0194-3
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Hamner, M.; Qazi, R. 2009. Expanding the technology acceptance model to include additional factors such as personal utility, Government Information Quarterly 26: 128–136. https://doi.org/10.1016/j.giq.2007.12.003
Harborne, P.; Hendry, C. 2009. Pathways to commercial wind power in the US, Europe and Japan: The role of demonstration projects and field trials in the innovation process, Energy Policy 37(9): 3580–3595. https://doi.org/10.1016/j.enpol.2009.04.027
Hayduk, L. A.; Littvay, L. 2012. Should researchers use single indicators, best indicators, or multiple indicators in structural equation models, BMC Medical Research Methodology 12(1): 159. https://doi.org/10.1186/1471-2288-12-159
He, Z.; Chen, X.; Lv, T. J. 2013. Research into consumers’ user acceptance willingness of mobile advertising. Berlin Heidelberg: Springer. https://doi.org/10.1007/978-3-642-38442-4_126
Holden, R. J.; Karsh, B. 2010. The technology acceptance model: Its past and its future in health care, Journal of Biomedical Informatics 43(1): 159–172. https://doi.org/10.1016/j.jbi.2009.07.002
Jokonya, O. 2015. Validating technology acceptance model (TAM) during IT adoption in organizations, in IEEE International Conference on Cloud Computing Technology & Science, 30 November – 3 December 2015, Vancouver, BC, Canada, 509–516. https://doi.org/10.1109/CloudCom.2015.56
Kakoli, B.; Soumava, B. 2010. User acceptance of information technology across cultures, International Journal of Intercultural Information Management 2(3): 553–561. https://doi.org/10.1504/IJIIM.2010.037862
Klitkou, A.; Coenen, L.; Andersen, P. D.; Fevolden, A.; Hansen, T. 2013. Role of demonstration projects in innovation: transition to sustainable energy and transport, in The 4th International Conference on Sustainability Transitions (IST 2013), 19–21 June 2013, Zürich, Switzerland, 638–664.
Lee, S.; Yu, J.; Jeong, D. 2013. BIM acceptance model in construction organizations, Journal of Management in Engineering 31(3): 0401404801. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000252
Legris, P.; Ingham, J.; Collerette, P. 2003. Why do people use information technology? A critical review of the technology acceptance model, Information & Management 40(3): 191–204. https://doi.org/10.1016/S0378-7206(01)00143-4
Liang, G. 2017. Discussion on the application of intelligent information technology in construction engineering, China Computer & Communication 18: 31–36 (in Chinese).
Lin, W. T.; Chuang, C. H.; Choi, J. H. 2010. A partial adjustment approach to evaluating and measuring the business value of information technology, International Journal of Production Economics 127(1): 158–172. https://doi.org/10.1016/j.ijpe.2010.05.007
Ma, J.; Jin, L. 2011. On the role that the construction of the demonstration projects plays in promoting the content building in vocational colleges, Value Engineering 30(7): 275–276 (in Chinese).
Malhotra, Y.; Galletta, D. F. 1999. Extending the technology acceptance model to account for social influence: theoretical bases and empirical validation, in Proceedings of the 32nd Hawaii International Conference on System Sciences (HICSS-32), 5–8 January 1999, Hawaii, 1–14. https://doi.org/10.1109/HICSS.1999.772658
Marangunić, N.; Granić, A. 2015. Technology acceptance model: a literature review from 1986 to 2013, Universal Access in the Information Society 14(1): 81–95. https://doi.org/10.1007/s10209-014-0348-1
Mavaahebi, M.; Nagasaka, K. 2013. A neural network and expert systems based model for measuring business effectiveness of information technology investment, American Journal of Industrial & Business Management 3(2): 245–254. https://doi.org/10.4236/ajibm.2013.32030
McCloskey, D. W. 2008. The importance of ease of use, usefulness, and trust to online consumers: An examination of the technology acceptance model with older consumers, Journal of Organizational & End User Computing 18(3): 47–65. https://doi.org/10.4018/joeuc.2006070103
Michel, C.; Bobillier-chaumon, M. E.; Sarnin, P. 2014. Technology acceptance model: analyse of the value build through the user experience, in Proceedings of the 8th International Conference on Partitioned Global Address Space Programming Models, 6–10 October 2014, Eugene, OR, USA, 130–137. https://doi.org/10.1145/2671470.2671489
Mooney, J. G.; Gurbaxani, V.; Kraemer, K. L. 1996. A process oriented framework for assessing the business value of information technology, Acm Sigmis Database: The Database for Advances in Information Systems 27(2): 68–81. https://doi.org/10.1145/243350.243363
Morell, J. A. 1994. Standards and the market acceptance of information technology: An exploration of relationships, Computer Standards & Interfaces 16(4): 321–329. https://doi.org/10.1016/0920-5489(94)90057-4
Mortenson, M. J.; Vidgen, R. 2016. A computational literature review of the technology acceptance model, International Journal of Information Management 36(6): 1248–1259. https://doi.org/10.1016/j.ijinfomgt.2016.07.007
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