Determinants of the Adoption of Green Building Simulation Technologies in Architectural Design Practices in Taiwan
Publication: Journal of Construction Engineering and Management
Volume 148, Issue 1
Abstract
Critical decisions about whether and how to integrate sustainability measures into the life cycle activities of green buildings are made in the early architectural design phase. To this end, researchers have advocated the use of various green building simulation technologies (GBSTs) to perform sustainability analyses to support integrated architectural design processes, cross-disciplinary communications, and evidence-based decision making. However, the adoption of GBSTs in architectural design practices remains limited. Building on the technology acceptance model, this paper investigates the determinants and mechanisms that influence the adoption of GBSTs in practice. Empirical data collected from architectural designers in Taiwan through qualitative interviews and a quantitative survey show that perceived usefulness is a strong predictor of designers’ intentions to adopt GBSTs. Job relevance, result demonstrability, compatibility, and competitive advantage are also important determinants of GBST adoption. Practical recommendations are offered to encourage greater adoption of GBSTs in architectural design practices. Theoretically, this research extends the technology adoption literature in the architecture, engineering, and construction (AEC) industry by broadening and deepening the understanding of context-specific determinants of GBST adoption.
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Data Availability Statement
Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.
References
Abdelmegid, M. A., V. A. González, M. Poshdar, M. O’Sullivan, C. G. Walker, and F. Ying. 2020. “Barriers to adopting simulation modelling in construction industry.” Autom. Constr. 111 (Mar): 103046. https://doi.org/10.1016/j.autcon.2019.103046.
AbouRizk, S. 2010. “Role of simulation in construction engineering and management.” J. Constr. Eng. Manage. 136 (10): 1140–1153. https://doi.org/10.1061/(asce)co.1943-7862.0000220.
Abowitz, D. A., and T. M. Toole. 2010. “Mixed method research: Fundamental issues of design, validity, and reliability in construction research.” J. Constr. Eng. Manage. 136 (1): 108–116. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000026.
Adriaanse, A., H. Voordijk, and G. Dewulf. 2010. “Adoption and use of interorganizational ICT in a construction project.” J. Constr. Eng. Manage. 136 (9): 1003–1014. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000201.
Ahmed, A. L., and M. Kassem. 2018. “A unified BIM adoption taxonomy: Conceptual development, empirical validation and application.” Autom. Constr. 96 (Dec): 103–127. https://doi.org/10.1016/j.autcon.2018.08.017.
Bagozzi, R. P., and Y. Yi. 1988. “On the evaluation of structural equation models.” J. Acad. Market. Sci. 16 (1): 74–94.
Chau, P. Y. K., and P. J. H. Hu. 2001. “Information technology acceptance by individual professionals: A model comparison approach.” Decis. Sci. 32 (4): 699−719. https://doi.org/10.1111/j.1540-5915.2001.tb00978.x.
Choi, B., S. Hwang, and S. Lee. 2017. “What drives construction workers’ acceptance of wearable technologies in the workplace?: Indoor localization and wearable health devices for occupational safety and health.” Autom. Constr. 84 (Dec): 31–41. https://doi.org/10.1016/j.autcon.2017.08.005.
Chung, B., M. J. Skibniewski, and Y. H. Kwak. 2009. “Developing ERP systems success model for the construction industry.” J. Constr. Eng. Manage. 135 (3): 207–216. https://doi.org/10.1061/(asce)0733-9364(2009)135:3(207.
Clarke, J. A., and J. L. M. Hensen. 2015. “Integrated building performance simulation: Progress, prospects and requirements.” Build. Environ. 91 (Sep): 294–306. https://doi.org/10.1016/j.buildenv.2015.04.002.
Cohen, J. 1988. Statistical power analysis for the behavioral sciences. 2nd ed. New York: Routledge.
Davis, F. D. 1985. “A technology acceptance model for empirically testing new end-user information systems: Theory and results.” Ph.D. dissertation, MIT Sloan School of Management.
Davis, F. D., and V. Venkatesh. 1996. “A critical assessment of potential measurement biases in the technology acceptance model: Three experiments.” Int. J. Hum.-Comp. Studies 45 (1): 19–45.
Environmental Protection Agency. 2016. “Green building basis information.” Accessed May 17, 2021. https://archive.epa.gov/greenbuilding/web/html/about.html.
Fornell, C., and J. Cha. 1994. “Partial least squares.” Adv. Methods Marketing Res. 407 (Jan): 52–78. https://doi.org/10.1016/0003-2670(86)80028-9.
Fornell, C., and D. F. Larcker. 1981. “Evaluating structural equation models with unobservable variables and measurement error.” J. Marketing Res. 18 (1): 39–50. https://doi.org/10.1177/002224378101800104.
Gaetani, I., P. J. Hoes, and J. L. M. Hensen. 2016. “Occupant behavior in building energy simulation: Towards a fit-for-purpose modeling strategy.” Energy Build. 121 (Jun): 188–204. https://doi.org/10.1016/j.enbuild.2016.03.038.
Gefen, D., E. E. Rigdon, and D. Straub. 2011. “Editor’s comments: An update and extension to SEM guidelines for administrative and social science research.” MIS Q. 35 (2): 3–14. https://doi.org/10.2307/23044042.
Gokuc, Y. T., and D. Arditi. 2017. “Adoption of BIM in architectural design firms.” Arch. Sci. Rev. 60 (6): 483–492. https://doi.org/10.1080/00038628.2017.1383228.
Hair, J. F., W. C. Black, B. J. Babin, and R. E. Anderson. 2010. Multivariate data analysis. 7th ed. New York: Pearson.
Hair, J. F., J. G. T. Hult, C. M. Ringle, and M. Sarstedt. 2017. A primer on partial least squares structural equation modeling (PLS-SEM). 2nd ed. Thousand Oaks, CA: SAGE.
Hong, S. W., D. Schaumann, and Y. E. Kalay. 2016. “Human behavior simulation in architectural design projects: An observational study in an academic course.” Comput. Environ. Urban Syst. 60 (Nov): 1–11. https://doi.org/10.1016/j.compenvurbsys.2016.07.005.
Hong, T., J. Langevin, and K. Sun. 2018. “Building simulation: Ten challenges.” Build. Simul. 11 (5): 871–898. https://doi.org/10.1007/s12273-018-0444-x.
Lee, S., and J. Yu. 2016. “Comparative study of BIM acceptance between Korea and the United States.” J. Constr. Eng. Manage. 142 (3): 05015016. https://doi.org/10.1061/(asce)co.1943-7862.0001076.
Lee, S., J. Yu, and D. Jeong. 2015. “BIM acceptance model in construction organizations.” J. Manage. Eng. 31 (3): 04014048. https://doi.org/10.1061/(asce)me.1943-5479.0000252.
Legris, P., J. Ingham, and P. Collerette. 2003. “Why do people use information technology? A critical review of the technology acceptance model.” Inf. Manage. 40 (3): 191–204. https://doi.org/10.1016/s0378-7206(01)00143-4.
Liu, D., W. Lu, and Y. Niu. 2018. “Extended technology-acceptance model to make smart construction systems successful.” J. Constr. Eng. Manage. 144 (6): 04018035. https://doi.org/10.1061/(asce)co.1943-7862.0001487.
Lowry, G. 2002. “Modelling user acceptance of building management systems.” Autom. Constr. 11 (6): 695–705. https://doi.org/10.1016/S0926-5805(02)00010-9.
Lu, Y., Z. Wu, R. Chang, and Y. Li. 2017. “Building information modeling (BIM) for green buildings: A critical review and future directions.” Autom. Constr. 83 (Nov): 134–148. https://doi.org/10.1016/j.autcon.2017.08.024.
Miles, M. B., and A. M. Huberman. 1994. Qualitative data analysis: An expanded sourcebook. 2nd ed. Thousand Oaks, CA: SAGE.
Moore, G. C., and I. Benbasat. 1991. “Development of an instrument to measure the perceptions of adopting an information technology innovation.” Inform. Syst. Res. 2 (3): 192–222. https://doi.org/10.1287/isre.2.3.192.
Nguyen, H. D., L. D. Nguyen, Y. Y. Chih, and L. Le-Hoai. 2017. “Influence of participants’ characteristics on sustainable building practices in emerging economies: Empirical case study.” J. Constr. Eng. Manage. 143 (8): 05017014. https://doi.org/10.1061/(asce)co.1943-7862.0001321.
Nugroho, M. A., A. Z. Susilo, M. A. Fajar, and D. Rahmawati. 2017. “Exploratory study of SMEs technology adoption readiness factors.” Procedia Comput. Sci. 124 (Jan): 329–336. https://doi.org/10.1016/j.procs.2017.12.162.
Østergård, T., R. L. Jensen, and S. E. Maagaard. 2016. “Building simulations supporting decision making in early design—A review.” Renewable Sustainable Energy Rev. 61 (Aug): 187–201. https://doi.org/10.1016/j.rser.2016.03.045.
Park, E., S. J. Kwon, and J. Han. 2019. “Antecedents of the adoption of building information modeling technology in Korea.” Eng. Constr. Archit. Manage. 26 (8): 1735–1749. https://doi.org/10.1108/ecam-04-2018-0174.
Park, Y., H. Son, and C. Kim. 2012. “Investigating the determinants of construction professionals’ acceptance of web-based training: An extension of the technology acceptance model.” Autom. Constr. 22 (Mar): 377–386. https://doi.org/10.1016/j.autcon.2011.09.016.
Pilechiha, P., M. Mahdavinejad, F. P. Rahimian, P. Carnemolla, and S. Seyedzadeh. 2020. “Multi-objective optimisation framework for designing office windows: Quality of view, daylight and energy efficiency.” Appl. Energy 261 (Mar): 114356. https://doi.org/10.1016/j.apenergy.2019.114356.
Premkumar, G., and M. Roberts. 1999. “Adoption of new information technologies in rural small businesses.” Omega 27 (4): 467–484. https://doi.org/10.1016/S0305-0483(98)00071-1.
Purup, P. B., and S. Petersen. 2020. “Research framework for development of building performance simulation tools for early design stages.” Autom. Constr. 109 (Jan): 102966. https://doi.org/10.1016/j.autcon.2019.102966.
Rogers, E. M. 1995. Diffusion of innovations. New York: Free Press.
Shi, X., Z. Tian, W. Chen, B. Si, and X. Jin. 2016. “A review on building energy efficient design optimization from the perspective of architects.” Renew. Sustain. Energy Rev. 65 (Nov): 872–884. https://doi.org/10.1016/j.rser.2016.07.050.
Son, H., S. Lee, and C. Kim. 2015. “What drives the adoption of building information modeling in design organizations? An empirical investigation of the antecedents affecting architects’ behavioral intentions.” Autom. Constr. 49 (Jan): 92–99. https://doi.org/10.1016/j.autcon.2014.10.012.
Son, H., Y. Park, C. Kim, and J.-S. Chou. 2012. “Toward an understanding of construction professionals’ acceptance of mobile computing devices in South Korea: An extension of the technology acceptance model.” Autom. Constr. 28 (Dec): 82–90. https://doi.org/10.1016/j.autcon.2012.07.002.
Venkatesh, V., and H. Bala. 2008. “Technology acceptance model 3 and a research agenda on interventions.” Decis. Sci. 39 (2): 273–315. https://doi.org/10.1111/j.1540-5915.2008.00192.x.
Venkatesh, V., and F. D. Davis. 2000. “A theoretical extension of the technology acceptance model: Four longitudinal field studies.” Manage. Sci. 46 (2): 186–204. https://doi.org/10.1287/mnsc.46.2.186.11926.
World Green Building Council. n.d. “About green building.” Accessed May 17, 2021. https://www.worldgbc.org/what-green-building.
Wu, C. Y., and S. F. Lo. 2018. “What makes a greener building? Lessons from Taiwan.” J. Environ. Prot. 9 (9): 957. https://doi.org/10.4236/jep.2018.99060.
Xu, H., J. Feng, and S. Li. 2014. “Users-orientated evaluation of building information model in the Chinese construction industry.” Autom. Constr. 39 (Apr): 32–46. https://doi.org/10.1016/j.autcon.2013.12.004.
Zhang, J., N. Liu, and W. Sang. 2020. “A parametric approach for performance optimization of residential building design in Beijing.” Build. Simul. 13 (2): 223–235. https://doi.org/10.1007/s12273-019-0571-z.
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Journal of Construction Engineering and Management
Volume 148 • Issue 1 • January 2022
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© 2021 American Society of Civil Engineers.
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Received: Mar 5, 2021
Accepted: Oct 5, 2021
Published online: Nov 12, 2021
Published in print: Jan 1, 2022
Discussion open until: Apr 12, 2022
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