Technical Papers
Feb 29, 2020

Understanding the Determinants of Construction Robot Adoption: Perspective of Building Contractors

Publication: Journal of Construction Engineering and Management
Volume 146, Issue 5

Abstract

Construction robots have emerged as a revolutionary technology for buildings. However, real-world adoption is still limited. Little is known how the decision of adopting construction robots or not is made in organizations, which inhibits the benefits of robots from being fully realized. This paper aims to investigate the determinants affecting construction robot adoption for building works at the organizational level. Drawing on the technology-organization-environment framework, a research model with 11 hypotheses on determinants was developed and empirically evaluated via a survey of 94 typical building contractors in Hong Kong using a partial least-squares structural equation modeling technique. The results indicate that relative advantage, top management support, organizational readiness, market competitive pressure, and high costs are significantly related to the adoption, among which top management support is most influential. A two-stage conceptual framework is derived that provides theoretical insights on the determinants and reveals the complexities and influence dynamics of determinants on the adoption during technology development. The findings offer useful suggestions for the effective development of robots for building works and lay a foundation for construction innovation adoption in a wider context.

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Data Availability Statement

All data, models, or code generated or used during the study are available from the corresponding author by request.

References

Advanced Industrial Science and Technology. 2018. “Development of a humanoid robot prototype, HRP-5P, capable of heavy labor.” Accessed January 5, 2019. https://www.aist.go.jp/aist_e/list/latest_research/2018/20181116/en20181116.html.
Ahuja, V., J. Yang, and R. Shankar. 2009. “Study of ICT adoption for building project management in the Indian construction industry.” Autom. Constr. 18 (4): 415–423. https://doi.org/10.1016/j.autcon.2008.10.009.
Barclay, D., C. Higgins, and R. Thompson. 1995. “The partial least squares (PLS) approach to causal modelling: Personal computer adoption and use as an illustration.” Technol. Stud. Spec. Issue Res. Methodol. 2 (2): 285–309.
Bin Zakaria, Z., N. Mohamed Ali, A. Tarmizi Haron, A. Marshall-Ponting, and Z. Abd Hamid. 2013. “Exploring the adoption of building information modelling (BIM) in the Malaysian construction industry: A qualitative approach.” Int. J. Res. Eng. Technol. 2 (8): 384–395. https://doi.org/10.15623/ijret.2013.0208060.
Blayse, A. M., and K. Manley. 2004. “Key influences on construction innovation.” Constr. Innovation 4 (3): 143–154.
Bock, T. 2015. “The future of construction automation: Technological disruption and the upcoming ubiquity of robotics.” Autom. Constr. 59 (Nov): 113–121. https://doi.org/10.1016/j.autcon.2015.07.022.
Bock, T., and T. Linner. 2016. Construction robots: Elementary technologies and single-task-construction robots. New York: Cambridge University Press.
Bogue, R. 2018. “What are the prospects for robots in the construction industry?” Ind. Rob. Int. J. 45 (1): 1–6. https://doi.org/10.1108/IR-11-2017-0194.
Building Department. 2018. Building Department list of registered contractors. Hong Kong: Building Dept.
Chin, W. W. 1998. “Commentary: Issues and opinion on structural equation modeling.” MIS Quarterly 22 (1): vii–xvi.
Chong, A. Y. L., and F. T. Chan. 2012. “Structural equation modeling for multi-stage analysis on radio frequency identification (RFID) diffusion in the health care industry.” Expert Syst. Appl. 39 (10): 8645–8654. https://doi.org/10.1016/j.eswa.2012.01.201.
Cohen, J. 2013. Statistical power analysis for the behavioral sciences. 2nd ed. New York: Taylor & Francis.
Cousineau, L., and N. Miura. 1998. Construction robots: The search for new building technology in Japan. Reston, VA: ASCE.
Damanpour, F. 1991. “Organizational innovation: A meta-analysis of effects of determinants and moderators.” Acad. Manage. J. 34 (3): 555–590. https://doi.org/10.5465/256406.
Development Bureau. 2018. Development Bureau list of approved contractors for public works. Hong Kong: Hong Kong Special Administrative Region Government.
Di Stefano, G., A. Gambardella, and G. Verona. 2012. “Technology push and demand pull perspectives in innovation studies: Current findings and future research directions.” Res. Policy 41 (8): 1283–1295. https://doi.org/10.1016/j.respol.2012.03.021.
Dubois, A., and L. E. Gadde. 2002. “The construction industry as a loosely coupled system: Implications for productivity and innovation.” Constr. Manage. Econ. 20 (7): 621–631. https://doi.org/10.1080/01446190210163543.
Faul, F., E. Erdfelder, A.-G. Lang, and A. Buchner. 2007. “G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences.” Behav. Res. Methods 39 (2): 175–191. https://doi.org/10.3758/BF03193146.
Fornell, C., and D. F. Larcker. 1981. “Structural equation models with unobservable variables and measurement error: Algebra and statistics.” J. Marketing Res. 18 (3): 382–388. https://doi.org/10.1177/002224378101800313.
Giftthaler, M., T. Sandy, K. Dörfler, I. Brooks, M. Buckingham, G. Rey, M. Kohler, F. Gramazio, and J. Buchli. 2017. “Mobile robotic fabrication at 11 scale: The in situ fabricator.” Constr. Rob. 1 (1–4): 3–14. https://doi.org/10.1007/s41693-017-0003-5.
Grandon, E. E., and J. M. Pearson. 2004. “Electronic commerce adoption: An empirical study of small and medium US businesses.” Inf. Manage. 42 (1): 197–216. https://doi.org/10.1016/j.im.2003.12.010.
Hair, J. F., Jr., G. T. M. Hult, C. Ringle, and M. Sarstedt. 2016. A primer on partial least squares structural equation modeling (PLS-SEM). Thousand Oaks, CA: Sage.
Hameed, M. A., S. Counsell, and S. Swift. 2012. “A conceptual model for the process of IT innovation adoption in organizations.” J. Eng. Tech. Manage. 29 (3): 358–390. https://doi.org/10.1016/j.jengtecman.2012.03.007.
HKTDC (Hong Kong Trade Development Council). 2018. HKTDC database of architectural and civil engineering works at construction site (358 Registered). Hong Kong: HKTDC.
Lee, S., and J. Yu. 2015. “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.
Lim, S., R. A. Buswell, T. T. Le, S. A. Austin, A. G. Gibb, and T. Thorpe. 2012. “Developments in construction-scale additive manufacturing processes.” Autom. Constr. 21 (Jan): 262–268. https://doi.org/10.1016/j.autcon.2011.06.010.
Lin, H. F. 2014. “Understanding the determinants of electronic supply chain management system adoption: Using the technology–organization–environment framework.” Technol. Forecasting Soc. Change 86 (Jul): 80–92. https://doi.org/10.1016/j.techfore.2013.09.001.
Lundeen, K. M., V. R. Kamat, C. C. Menassa, and W. McGee. 2017. “Scene understanding for adaptive manipulation in robotized construction work.” Autom. Constr. 82 (Oct): 16–30. https://doi.org/10.1016/j.autcon.2017.06.022.
Lundeen, K. M., V. R. Kamat, C. C. Menassa, and W. McGee. 2019. “Autonomous motion planning and task execution in geometrically adaptive robotized construction work.” Autom. Constr. 100 (Apr): 24–45. https://doi.org/10.1016/j.autcon.2018.12.020.
Mahbub, R. 2008. “An investigation into the barriers to the implementation of automation and robotics technologies in the construction industry.” Accessed January 5, 2017. https://eprints.qut.edu.au/26377.
Martínez-Román, J. A., J. A. Tamayo, and J. Gamero. 2017. “Innovativeness and its influence on growth and market extension in construction firms in the Andalusian region.” J. Eng. Tech. Manage. 43 (Jan): 19–33. https://doi.org/10.1016/j.jengtecman.2016.11.002.
Mitropoulos, P., and C. B. Tatum. 1999. “Technology adoption decisions in construction organizations.” J. Constr. Eng. Manage. 125 (5): 330–338. https://doi.org/10.1061/(ASCE)0733-9364(1999)125:5(330).
nLink. 2018. “Advanced mobile robotics.” Accessed May 10, 2018. https://www.nlink.no/.
Nunnally, J. C., and I. H. Bernstein. 1994. Psychometric theory. 3rd ed. New York: McGraw-Hill.
Oliveira, T., M. Thomas, and M. Espadanal. 2014. “Assessing the determinants of cloud computing adoption: An analysis of the manufacturing and services sectors.” Inf. Manage. 51 (5): 497–510. https://doi.org/10.1016/j.im.2014.03.006.
Ozorhon, B., and K. Oral. 2016. “Drivers of innovation in construction projects.” J. Constr. Eng. Manage. 143 (4): 04016118. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001234.
Pan, M., T. Linner, H. M. Cheng, W. Pan, and T. Bock. 2018. “A framework of indicators for assessing construction automation and robotics in the sustainability context.” J. Cleaner Prod. 182 (May): 82–95. https://doi.org/10.1016/j.jclepro.2018.02.053.
Pan, M., and W. Pan. 2019. “Determinants of adoption of robotics in precast concrete production for buildings.” J. Manage. Eng. 35 (5): 05019007. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000706.
Pan, W., A. G. Gibb, and A. R. Dainty. 2012. “Strategies for integrating the use of off-site production technologies in house building.” J. Constr. Eng. Manage. 138 (11): 1331–1340. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000544.
Pan, W., and C. K. Hon. 2018. “Modular integrated construction for high-rise buildings.” Proc. Inst. Civ. Eng. Munic. Eng. 1–5. https://doi.org/10.1680/jmuen.18.00028.
Podsakoff, P. M., S. B. MacKenzie, J. Y. Lee, and N. P. Podsakoff. 2003. “Common method biases in behavioral research: A critical review of the literature and recommended remedies.” J. Appl. Psychol. 88 (5): 879. https://doi.org/10.1037/0021-9010.88.5.879.
Rogers, E. M. 2010. Diffusion of innovations. New York: Simon and Schuster.
Saidi, K. S., T. Bock, and C. Georgoulas. 2016. “Robotics in construction.” In Springer handbook of robotics. 2nd ed. 1493–1520. Cham, Switzerland: Springer.
Sepasgozar, S. M., S. R. Davis, H. Li, and X. Luo. 2018. “Modeling the implementation process for new construction technologies: Thematic analysis based on Australian and US practices.” J. Manage. Eng. 34 (3): 05018005. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000608.
Skibniewski, M. J., and E. K. Zavadskas. 2013. “Technology development in construction: A continuum from distant past into the future.” J. Civ. Eng. Manage. 19 (1): 136–147. https://doi.org/10.3846/13923730.2012.756060.
Taghavi, M., H. Heredia, K. Iturralde, H. Halvorsen, and T. Bock. 2018. “Development of a modular end effector for the installation of curtain walls with cable-robots.” J. Facade Des. Eng. 6 (2): 001–008. https://doi.org/10.7480/jfde.2018.2.2067.
Taylor, J. E. 2007. “Antecedents of successful three-dimensional computer-aided design implementation in design and construction networks.” J. Constr. Eng. Manage. 133 (12): 993–1002. https://doi.org/10.1061/(ASCE)0733-9364(2007)133:12(993).
Thiesse, F., T. Staake, P. Schmitt, and E. Fleisch. 2011. “The rise of the ‘next-generation bar code’: An international RFID adoption study.” Supply Chain Manage. Int. J. 16 (5): 328–345. https://doi.org/10.1108/13598541111155848.
Tornatzky, L. G., and M. Fleischer. 1990. The processes of technological innovation. Lexington, KY: Lexington Books.
Wang, Y. M., Y. S. Wang, and Y. F. Yang. 2010. “Understanding the determinants of RFID adoption in the manufacturing industry.” Technol. Forecasting Soc. Change 77 (5): 803–815. https://doi.org/10.1016/j.techfore.2010.03.006.
Wang, Y. S., H. T. Li, C. R. Li, and D. Z. Zhang. 2016. “Factors affecting hotels’ adoption of mobile reservation systems: A technology-organization-environment framework.” Tourism Manage. 53 (Apr): 163–172. https://doi.org/10.1016/j.tourman.2015.09.021.
Whyte, J., D. Bouchlaghem, and T. Thorpe. 2002. “IT implementation in the construction organization.” Eng. Constr. Archit. Manage. 9 (5/6): 371. https://doi.org/10.1108/eb021231.
World Economic Forum. 2018. “Future scenarios and implications for the industry.” Accessed December 1, 2018. http://www3.weforum.org/docs/Future_Scenarios_Implications_Industry_report_2018.pdf.
Yap, J. B. H., H. Abdul-Rahman, and C. Wang. 2018. “Preventive mitigation of overruns with project communication management and continuous learning: PLS-SEM approach.” J. Constr. Eng. Manage. 144 (5): 04018025. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001456.
Zhao, X., W. Pan, and L. Chen. 2018. “Disentangling the relationships between business model innovation for low or zero carbon buildings and its influencing factors using structural equation modelling.” J. Cleaner Prod. 178 (Mar): 154–165. https://doi.org/10.1016/j.jclepro.2018.01.010.

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Go to Journal of Construction Engineering and Management
Journal of Construction Engineering and Management
Volume 146Issue 5May 2020

History

Received: Jul 17, 2019
Accepted: Oct 28, 2019
Published online: Feb 29, 2020
Published in print: May 1, 2020
Discussion open until: Jul 29, 2020

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Postdoctoral Fellow, Dept. of Civil Engineering, Univ. of Hong Kong, Pokfulam, Hong Kong, Hong Kong SAR, China (corresponding author). ORCID: https://orcid.org/0000-0002-5134-8205. Email: [email protected]
Wei Pan, Ph.D. [email protected]
Associate Professor, Dept. of Civil Engineering, Univ. of Hong Kong, Pokfulam, Hong Kong, Hong Kong SAR, China. Email: [email protected]

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