Building on Digital Twin: Overcoming Barriers and Unlocking Success in the Construction Industry
Publication: Journal of Construction Engineering and Management
Volume 150, Issue 10
Abstract
Digital twins (DTs) link physical and virtual spaces, providing analytical and diagnostic value for built assets. Despite DT’s potential benefits, its adoption in the construction industry is nascent, hindered by underexplored barriers and a lack of practical strategies. This study (1) identified barriers to DT adoption, (2) proposes strategies to spur DT adoption, and (3) prioritizes identified barriers and strategies and assesses the varying perceptions of organizations with different types and sectors on these factors. This study conducted a comprehensive literature review and content analysis, complemented by pilot interviews, to identify and categorize 25 barriers and 23 strategies. A survey questionnaire was distributed to industry professionals, and 91 valid responses were received for analysis. The survey and postsurvey interviews helped prioritize these barriers and strategies and assess different construction organizations’ perceptions of DT adoption. Additionally, two case studies were conducted to gain deeper insights into DT’s real-world applications, barriers, and strategies. This study enriches the knowledge base by identifying and assessing the barriers and strategies for DT adoption and provides construction practitioners with actionable guidance for adopting DT.
Practical Applications
This study presents five key insights for implementing digital twins in the construction industry. First, it identified 25 barriers and 23 strategies for DT adoption. Practitioners should pay attention to the top barriers, such as cost pressures, lack of models and data, and uncertain economic returns, while prioritizing effective strategies such as senior management support, clear objectives and expected outcomes from clients, and financial subsidies. Second, facility management (FM) and architect organizations face more challenges in adopting DT, so their needs should be prioritized when applying strategies. Third, the private sector, particularly small and medium enterprises, encounters greater challenges in DT adoption than the public sector due to limited IT infrastructure. Collaboration between the public and private sectors is recommended to overcome this challenge. Fourth, senior management plays a crucial role in creating a DT-friendly environment by training DT-competent employees and shifting conservative organizational cultures. The study presents two real-life examples of successful DT adoption in construction, providing valuable insights for practitioners.
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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.
Acknowledgments
This work was supported by the Singapore Ministry of Education Academic Research Fund Tier 1 (Grant No. A-0008553-01-00) and Singapore Ministry of Education Academic Research Fund Tier 1 (Grant No. A-8001206-00-00).
References
Agrawal, A., M. Fischer, and V. Singh. 2022. “Digital twin: From concept to practice.” J. Manage. Eng. 38 (3): 06022001. https://doi.org/10.1061/(ASCE)ME.1943-5479.0001034.
Aibinu A. A., and S. Venkatesh. 2012. “The rocky road to BIM adoption: Quantity surveyors perspectives.” Accessed October 12, 2023. https://findanexpert.unimelb.edu.au/scholarlywork/499272-the-rocky-road-to-bim-adoption--quantity-surveyors-perspectives.
Akanmu, A. A., C. J. Anumba, and O. O. Ogunseiju. 2021. “Towards next generation cyber-physical systems and digital twins for construction.” J. Inf. Technol. Construct. 26 (27): 505–525. https://doi.org/10.36680/j.itcon.2021.027.
Akintoye, A. 2000. “Analysis of factors influencing project cost estimating practice.” Construct. Manage. Econ. 18 (1): 77–89. https://doi.org/10.1080/014461900370979.
Alankarage, S., N. Chileshe, A. Samaraweera, R. Rameezdeen, and D. J. Edwards. 2023. “Guidelines for using a case study approach in construction culture research: Application to BIM-enabled organizations.” J. Constr. Eng. Manage. 149 (9): 05023009. https://doi.org/10.1061/JCEMD4.COENG-13569.
Alhasan, S., O. Amoudi, M. Tong, and B. Kumar. 2019. “Effectiveness of adopting BIM on quantity surveying profession during the project life cycle.” In Proc., Thirty-Fifth Annual Conf., 273. London: Association of Researchers in Construction Management.
Alonso, R., M. Borras, R. H. E. M. Koppelaar, A. Lodigiani, E. Loscos, and E. Yöntem. 2019. “SPHERE: BIM digital twin platform.” Proceedings 20 (1): 1. https://doi.org/10.3390/proceedings2019020009.
Arayici, Y., and P. Coates. 2012. “A system engineering perspective to knowledge transfer: A case study approach of BIM adoption.” In Virtual reality—Human computer interaction. London: Intech Open. https://doi.org/10.5772/51052.
Arslan, M., C. Cruz, and D. Ginhac. 2019. “Visualizing intrusions in dynamic building environments for worker safety.” Saf. Sci. 120 (Sep): 428–446. https://doi.org/10.1016/j.ssci.2019.07.020.
Babbie, E. R. 2020. The practice of social research. Boston: Cengage Learning.
Barricelli, B. R., E. Casiraghi, and D. Fogli. 2019. “A survey on digital twin: Definitions, characteristics, applications, and design implications.” IEEE Access 7 (May): 167653–167671. https://doi.org/10.1109/ACCESS.2019.2953499.
Blanco, J. L., T. Dohrmann, J. Julien, J. Law, and R. Palter. 2019. “Governments can lead construction into the digital era.” Accessed September 15, 2023. https://www.mckinsey.com/capabilities/operations/our-insights/governments-can-lead-construction-into-the-digital-era.
Blayse, A. M., and K. Manley. 2004. “Key influences on construction innovation.” Constr. Innovation 4 (3): 143–154. https://doi.org/10.1108/14714170410815060.
Boje, C., A. Guerriero, S. Kubicki, and Y. Rezgui. 2020. “Towards a semantic construction digital twin: Directions for future research.” Autom. Constr. 114 (Apr): 103179. https://doi.org/10.1016/j.autcon.2020.103179.
Bolarinwa, O. 2015. “Principles and methods of validity and reliability testing of questionnaires used in social and health science researches.” Niger. Postgrad. Med. J. 22 (4): 195–201. https://doi.org/10.4103/1117-1936.173959.
Bosch-Sijtsema, P., C. Claeson-Jonsson, M. Johansson, and M. Roupe. 2021. “The hype factor of digital technologies in AEC.” Constr. Innovation 21 (4): 899–916. https://doi.org/10.1108/CI-01-2020-0002.
Bryde, D., M. Broquetas, and J. M. Volm. 2013. “The project benefits of Building Information Modelling (BIM).” Int. J. Project Manage. 31 (7): 971–980. https://doi.org/10.1016/j.ijproman.2012.12.001.
Burla, L., B. Knierim, J. Barth, K. Liewald, M. Duetz, and T. Abel. 2008. “From text to codings: Intercoder reliability assessment in qualitative content analysis.” Nurs. Res. 57 (2): 113–117. https://doi.org/10.1097/01.NNR.0000313482.33917.7d.
Carley-Baxter, L. R., C. A. Hill, D. J. Roe, S. E. Twiddy, R. K. Baxter, and J. Ruppenkamp. 2009. “Does response rate matter? Journal editors use of survey quality measures in manuscript publication decisions.” Surv. Pract. 2 (7). https://doi.org/10.29115/SP-2009-0033.
Chan, T. W. 2014. “Barriers of implementing BIM in construction industry from the designers’ perspective: A Hong Kong experience.” J. Syst. Manage. Sci. 4 (2): 024–040.
Choi, J. O., B. K. Shrestha, Y. H. Kwak, and J. S. Shane. 2020. “Critical success factors and enablers for facility design standardization of capital projects.” J. Manage. Eng. 36 (5): 04020048. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000788.
Coupry, C., S. Noblecourt, P. Richard, D. Baudry, and D. Bigaud. 2021. “BIM-based digital twin and XR devices to improve maintenance procedures in smart buildings: A literature review.” Appl. Sci. 11 (15): 6810. https://doi.org/10.3390/app11156810.
Dassault Systèmes. 2019. “Virtual Singapore.” Accessed September 14, 2023. https://www.3ds.com/insights/customer-stories/virtual-singapore.
Devetakovic, M., and M. Radojevic. 2007. “Facility management: A paradigm for expanding the scope of architectural practice.” Archnet-IJAR: Int. J. Archit. Res. 1 (3): 127–139.
Dou, Y., T. Li, L. Li, Y. Zhang, and Z. Li. 2023. “Tracking the research on ten emerging digital technologies in the AECO industry.” J. Constr. Eng. Manage. 149 (3): 03123003. https://doi.org/10.1061/JCEMD4.COENG-12290.
Drives & Controls. 2019. “€20m EU project will create digital twin platform for industry.” Accessed October 21, 2023. https://www.drivesncontrols.com/news/fullstory.php/aid/6144/_8020m_EU_project_will_create_digital_twin_platform_for_industry.html.
Eadie, R., M. Browne, H. Odeyinka, C. McKeown, and S. McNiff. 2013. “BIM implementation throughout the UK construction project lifecycle: An analysis.” Autom. Constr. 36 (Dec): 145–151. https://doi.org/10.1016/j.autcon.2013.09.001.
Enterprise Singapore. 2024. “Enhanced partnerships for capability transformation (PACT) to support more collaborations between larger companies and SMEs.” Accessed March 31, 2024. https://www.enterprisesg.gov.sg/resources/media-centre/media-releases/2024/march/mti-factsheet-on-enhanced-partnerships-for-capability-transformation-to-support-more-collaborations-between-larger-companies-and-smes.
Fariq, N. 2020. “Digital twins: What it means for future construction?” In Proc., 8th Int. Graduate Conf. on Engineering, Science and Humanities (IGCESH) 2020. Johor, Malaysia: Universiti Teknologi Malaysia.
Farsi, M., A. Daneshkhah, A. Hosseinian-Far, and H. Jahankhani. 2020. Digital twin technologies and smart cities. London: Springer.
Francisco, A., N. Mohammadi, and J. E. Taylor. 2020. “Smart city digital twin–enabled energy management: Toward real-time urban building energy benchmarking.” J. Manage. Eng. 36 (2): 04019045. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000741.
Fuller, A., Z. Fan, C. Day, and C. Barlow. 2020. “Digital twin: Enabling technologies, challenges and open research.” IEEE Access 8 (Aug): 108952–108971. https://doi.org/10.1109/ACCESS.2020.2998358.
Ghobakhloo, M., T. S. Hong, M. S. Sabouri, and N. Zulkifli. 2012. “Strategies for successful information technology adoption in small and medium-sized enterprises.” Information 3 (1): 36. https://doi.org/10.3390/info3010036.
Hardie, M., G. Miller, K. Manley, and S. Mcfallan. 2005. “The quantity surveyor’s role in innovation generation, adoption and diffusion in the Australian construction industry.” In Proc., QUT Research Week 2005: Conf., 1–10. Brisbane, QLD, Australia: Queensland Univ. of Technology.
Hassanien, A. E., A. Darwish, and V. Snasel. 2022. Vol. 423 of Digital twins for digital transformation: Innovation in industry. Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-030-96802-1.
Hsieh, H.-F., and S. E. Shannon. 2005. “Three approaches to qualitative content analysis.” Qual. Health Res. 15 (9): 1277–1288. https://doi.org/10.1177/1049732305276687.
Hwang, B. G., J. Ngo, and P. W. Y. Her. 2020. “Integrated digital delivery: Implementation status and project performance in the Singapore construction industry.” J. Cleaner Prod. 262 (20). https://doi.org/10.1016/j.jclepro.2020.121396.
Hwang, B. G., M. Shan, and K. Y. Looi. 2018. “Key constraints and mitigation strategies for prefabricated prefinished volumetric construction.” J. Cleaner Prod. 183 (Jul): 183–193. https://doi.org/10.1016/j.jclepro.2018.02.136.
Hwang, B.-G., and W. J. Ng. 2013. “Project management knowledge and skills for green construction: Overcoming challenges.” Int. J. Project Manage. 31 (2): 272–284. https://doi.org/10.1016/j.ijproman.2012.05.004.
IMDA (Infocomm Media Development Authority). 2019. “Singapore’s digital economy forges ahead: 5G innovation, smart estates and progressive legislation.” Accessed September 16, 2023. https://www.imda.gov.sg/resources/press-releases-factsheets-and-speeches/archived/imda/press-releases/2019/singapore-digital-economy-forges-ahead-5g-innovation-smart-estates-and-progressive-legislation.
Jiang, F., L. Ma, T. Broyd, and K. Chen. 2021. “Digital twin and its implementations in the civil engineering sector.” Autom. Constr. 130 (Jun): 103838. https://doi.org/10.1016/j.autcon.2021.103838.
Kan, C., and C. J. Anumba. 2019. “Digital twins as the next phase of cyber-physical systems in construction.” In Proc., Int. Conf. on Computing in Civil Engineering 2019, 256–264. Reston, VA: ASCE. https://doi.org/10.1061/9780784482438.033.
Karros, D. J. 1997. “Statistical methodology: II. Reliability and validity assessment in study design, Part B.” Acad. Emerg. Med. 4 (2): 144–147. https://doi.org/10.1111/j.1553-2712.1997.tb03723.x.
Kien, H. L., and G. Ofori. 2002. “Minimising environmental impacts of building materials in Singapore: Role of architects.” Int. J. Environ. Technol. Manage. 2 (1/2/3): 244. https://doi.org/10.1504/IJETM.2002.000789.
Kruskal, W. H., and W. A. Wallis. 1952. “Use of ranks in one-criterion variance analysis.” J. Am. Stat. Assoc. 47 (260): 583–621. https://doi.org/10.1080/01621459.1952.10483441.
Kučera, A., and T. Pitner. 2018. “Semantic BMS: Allowing usage of building automation data in facility benchmarking.” Adv. Eng. Inf. 35 (Mar): 69–84. https://doi.org/10.1016/j.aei.2018.01.002.
Kula, B., and E. Ergen. 2021. “Implementation of a BIM-FM platform at an international airport project: Case study.” J. Constr. Eng. Manage. 147 (4): 05021002. https://doi.org/10.1061/(ASCE)CO.1943-7862.0002025.
Liao, L., and E. A. L. Teo. 2019. “Managing critical drivers for building information modelling implementation in the Singapore construction industry: An organizational change perspective.” Int. J. Constr. Manage. 19 (3): 240–256. https://doi.org/10.1080/15623599.2017.1423165.
Liao, L., E. A. L. Teo, R. Chang, and X. Zhao. 2020. “Diffusion of building information modeling in building projects and firms in Singapore.” Sustainability 12 (18): 18. https://doi.org/10.3390/su12187762.
Liao, L., E. A. L. Teo, L. Li, X. Zhao, and G. Wu. 2021. “Reducing non-value-adding BIM implementation activities for building projects in Singapore: Leading causes.” J. Manage. Eng. 37 (3): 05021003. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000900.
Liao, L., E. Teo Ai Lin, and S. P. Low. 2019. “Assessing building information modeling implementation readiness in building projects in Singapore: A fuzzy synthetic evaluation approach.” Eng. Constr. Archit. Manage. 27 (3): 700–724. https://doi.org/10.1108/ECAM-01-2019-0028.
Ling, F. Y. Y., Z. Zhang, and Y. R. Y. Aurelia. 2022. “Impact of COVID-19 pandemic on demand, output, and outcomes of construction projects in Singapore.” J. Manage. Eng. 38 (2). https://doi.org/10.1061/(ASCE)ME.1943-5479.0001020.
Liu, M., S. Fang, H. Dong, and C. Xu. 2021. “Review of digital twin about concepts, technologies, and industrial applications.” J. Manuf. Syst. 58 (Nov): 346–361. https://doi.org/10.1016/j.jmsy.2020.06.017.
Love, P. E. D., G. D. Holt, and H. Li. 2002. “Triangulation in construction management research.” Eng. Constr. Archit. Manage. 9 (4): 294–303. https://doi.org/10.1108/eb021224.
Lu, Q., A. K. Parlikad, P. Woodall, G. D. Ranasinghe, X. Xie, Z. Liang, E. Konstantinou, J. Heaton, and J. Schooling. 2020. “Developing a digital twin at building and city levels: Case study of West Cambridge campus.” J. Manage. Eng. 36 (3): 05020004. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000763.
Lu, Q., X. Xie, J. Heaton, A. K. Parlikad, and J. Schooling. 2019. “From BIM towards digital twin: Strategy and future development for smart asset management.” In Proc., Int. Workshop on Service Orientation in Holonic and Multi-Agent Manufacturing, 392–404. Cham, Switzerland: Springer.
Lukesh, T., E. Ottinger, N. Bajaj, J. Stein, M. Gibson, A. Jain, and E. Crandon. 2021. “Digital twin: The age of aquarius in construction and real estate.” Accessed September 10, 2023. https://www.nbmcw.com/product-technology/technologies-digitilization-software/digital-twin-the-age-of-aquarius-in-construction-and-real-estate.html.
Mann, H. B., and D. R. Whitney. 1947. “On a test of whether one of two random variables is stochastically larger than the other.” Ann. Math. Stat. 18 (1): 50–60. https://doi.org/10.1214/aoms/1177730491.
Marsh, L., and R. Flanagan. 2000. “Measuring the costs and benefits of information technology in construction.” Eng. Constr. Archit. Manage. 7 (4): 423–435. https://doi.org/10.1108/eb021164.
McGraw-Hill Construction. 2008. “McGraw-Hill construction BIM report shows growing demand for digital models, training.” Accessed August 21, 2023. https://www.usgnn.com/documents/newsBIM20081203.pdf.
Nassereddine, H., M. El Jazzar, and M. Piskernik. 2020. “Transforming the AEC industry: A model-centric approach.” In Proc., Creative Construction E-Conf. 2020, 13–18. Budapest, Hungary: Budapest Univ. of Technology and Economics & Diamond Congress.
Neto, A. A., F. Deschamps, E. Ribeiro da Silva, and E. Pinheiro de Lima. 2020. “Digital twins in manufacturing: An assessment of drivers, enablers and barriers to implementation.” Procedia CIRP 93 (Apr): 210–215. https://doi.org/10.1016/j.procir.2020.04.131.
Ngo, J., B.-G. Hwang, and C. Zhang. 2020. “Factor-based big data and predictive analytics capability assessment tool for the construction industry.” Autom. Constr. 110 (Nov): 103042. https://doi.org/10.1016/j.autcon.2019.103042.
Núñez-Torrón Stock, A., and Q. Moynihan. 2021. “The world’s first 3D-printed steel bridge has opened in Amsterdam.” Accessed October 2, 2023. https://www.businessinsider.com/software-computer-design-cad-netherlands-technology-innovation-construction-robotics-architecture-2021-7.
Oesterreich, T. D., and F. Teuteberg. 2016. “Understanding the implications of digitisation and automation in the context of Industry 4.0: A triangulation approach and elements of a research agenda for the construction industry.” Comput. Ind. 83 (Dec): 121–139. https://doi.org/10.1016/j.compind.2016.09.006.
Opoku, D.-G. J., S. Perera, R. Osei-Kyei, and M. Rashidi. 2021. “Digital twin application in the construction industry: A literature review.” J. Build. Eng. 40 (Feb): 102726. https://doi.org/10.1016/j.jobe.2021.102726.
Ostaševičius, V. 2022. Digital twins in manufacturing: Virtual and physical twins for advanced manufacturing. Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-030-98275-1.
Ott, R. L., and M. T. Longnecker. 2015. An introduction to statistical methods and data analysis. London: Cengage Learning.
Oyeka, I. C. A., and G. U. Ebuh. 2012. “Modified Wilcoxon signed-rank test.” Open J. Stat. 2 (2): 2. https://doi.org/10.4236/ojs.2012.22019.
Ozturk, G. B. 2021. “Digital twin research in the AECO-FM industry.” J. Build. Eng. 40 (Aug): 102730. https://doi.org/10.1016/j.jobe.2021.102730.
Pacheco-Torgal, F. 2014. “Eco-efficient construction and building materials research under the EU Framework Programme Horizon 2020.” Constr. Build. Mater. 51 (Feb): 151–162. https://doi.org/10.1016/j.conbuildmat.2013.10.058.
Pan, Y., and L. Zhang. 2021. “A BIM-data mining integrated digital twin framework for advanced project management.” Autom. Constr. 124 (Mar): 103564. https://doi.org/10.1016/j.autcon.2021.103564.
Perno, M., L. Hvam, and A. Haug. 2020. “Enablers and barriers to the implementation of digital twins in the process industry: A systematic literature review.” In Proc., IEEE Int. Conf. on Industrial Engineering and Engineering Management (IEEM), 959–964. New York: IEEE.
Perno, M., L. Hvam, and A. Haug. 2022. “Implementation of digital twins in the process industry: A systematic literature review of enablers and barriers.” Comput. Ind. 134 (Apr): 103558. https://doi.org/10.1016/j.compind.2021.103558.
PMI (Project Management Institute). 2017. A guide to the Project Management Body of Knowledge (PMBOK guide). 6th ed. Newtown Square, PA: PMI.
Ragab, M. A., and M. Marzouk. 2021. “BIM adoption in construction contracts: Content analysis approach.” J. Constr. Eng. Manage. 147 (8): 04021094. https://doi.org/10.1061/(ASCE)CO.1943-7862.0002123.
Ramilo, R. 2014. “Key determinants and barriers in digital innovation among small architectural organizations.” J. Inf. Technol. Constr. 19 (11): 188–209.
Rasheed, A., O. San, and T. Kvamsdal. 2020. “Digital twin: Values, challenges and enablers from a modeling perspective.” IEEE Access 8 (Jan): 21980–22012. https://doi.org/10.1109/ACCESS.2020.2970143.
Reeves, K., and C. Maple. 2019. “Realising the vision of digital twins: Challenges in trustworthiness.” In Proc., Living in the Internet of Things (IoT 2019), 33. London: Institution of Engineering and Technology.
Rogers, E. M. 2003. Diffusion of innovations. 5th ed. New York: Free Press.
Rosner, B., R. J. Glynn, and M.-L. T. Lee. 2006. “The Wilcoxon signed rank test for paired comparisons of clustered data.” Biometrics 62 (1): 185–192. https://doi.org/10.1111/j.1541-0420.2005.00389.x.
Sacks, R., I. Brilakis, E. Pikas, H. S. Xie, and M. Girolami. 2020. “Construction with digital twin information systems.” Data-Centric Eng. 14. https://doi.org/10.1017/dce.2020.16.
Sepasgozar, S. M. E., F. K. P. Hui, S. Shirowzhan, M. Foroozanfar, L. Yang, and L. Aye. 2021. “Lean practices using building information modeling (BIM) and digital twinning for sustainable construction.” Sustainability 13 (1): 1. https://doi.org/10.3390/su13010161.
Shen, Z.-J. M., L. Wang, and T. Deng. 2021. Digital twin: What it is, why do it, related challenges, and research opportunities for operations research. Amsterdam, Netherlands: Elsevier. https://doi.org/10.2139/ssrn.3777695.
Singapore Business Federation. 2019. “National business survey 2018/2019 summary report.” Accessed July 3, 2023. https://www.sbf.org.sg/docs/default-source/advocacy-policy/sbf-research-reports/national-business-survey/summary-report/sbf_nbs_2018-2019_summary_report.pdf?sfvrsn=97b950ea_1.
Singh, M., E. Fuenmayor, E. P. Hinchy, Y. Qiao, N. Murray, and D. Devine. 2021. “Digital twin: Origin to future.” Appl. Syst. Innovation 4 (2): 36. https://doi.org/10.3390/asi4020036.
Stewart, R. A., S. Mohamed, and M. Marosszeky. 2004. “An empirical investigation into the link between information technology implementation barriers and coping strategies in the Australian construction industry.” Constr. Innovation 4 (3): 155–171. https://doi.org/10.1108/14714170410815079.
Suprun, E. V., and R. A. Stewart. 2015. “Construction innovation diffusion in the Russian Federation: Barriers, drivers and coping strategies.” Constr. Innovation 15 (3): 278–312. https://doi.org/10.1108/CI-07-2014-0038.
Tan, K. S., and J. T. H. Tang. 2016. “New skills at work: Managing skills challenges in ASEAN-5.” Accessed October 18, 2023. https://ink.library.smu.edu.sg/soe_research/1891.
Tao, F., and Q. Qi. 2019. “Make more digital twins.” Nature 573 (7775): 490–491. https://doi.org/10.1038/d41586-019-02849-1.
Tchana, Y., G. Ducellier, and S. Remy. 2019. “Designing a unique Digital Twin for linear infrastructures lifecycle management.” Procedia CIRP 84 (Jan): 545–549. https://doi.org/10.1016/j.procir.2019.04.176.
Teng, S. Y., M. Touš, W. D. Leong, B. S. How, H. L. Lam, and V. Máša. 2021. “Recent advances on industrial data-driven energy savings: Digital twins and infrastructures.” Renewable Sustainable Energy Rev. 135 (Jan): 110208. https://doi.org/10.1016/j.rser.2020.110208.
Teo, E. A. L., S. L. Chan, and P. H. Tan. 2007. “Empirical investigation into factors affecting exporting construction services in SMEs in Singapore.” J. Constr. Eng. Manage. 133 (8): 582–591. https://doi.org/10.1061/(ASCE)0733-9364(2007)133:8(582).
Uhlemann, T. H.-J., C. Schock, C. Lehmann, S. Freiberger, and R. Steinhilper. 2017. “The digital twin: Demonstrating the potential of real time data acquisition in production systems.” Procedia Manuf. 9 (Jan): 113–120. https://doi.org/10.1016/j.promfg.2017.04.043.
van der Heijden, J. 2023. “Construction 4.0 in a narrow and broad sense: A systematic and comprehensive literature review.” Build. Environ. 244 (Nov): 110788. https://doi.org/10.1016/j.buildenv.2023.110788.
Veile, J. W., D. Kiel, J. M. Müller, and K.-I. Voigt. 2019. “Lessons learned from industry 4.0 implementation in the German manufacturing industry.” J. Manufact. Technol. Manage. 31 (5): 977–997. https://doi.org/10.1108/JMTM-08-2018-0270.
Voss, C., N. Tsikriktsis, and M. Frohlich. 2002. “Case research in operations management.” Int. J. Oper. Prod. Manage. 22 (2): 195–219. https://doi.org/10.1108/01443570210414329.
Wanasinghe, T. R., L. Wroblewski, B. K. Petersen, R. G. Gosine, L. A. James, O. De Silva, G. K. I. Mann, and P. J. Warrian. 2020. “Digital twin for the oil and gas industry: Overview, research trends, opportunities, and challenges.” IEEE Access 8 (Jun): 104175–104197. https://doi.org/10.1109/ACCESS.2020.2998723.
Wang, Y., D. Chong, and X. Liu. 2021. “Evaluating the critical barriers to green construction technologies adoption in China.” Sustainability 13 (12): 12. https://doi.org/10.3390/su13126510.
Wen, Q., and R.-G. Zhu. 2020. “Automatic generation of 3D building models based on line segment vectorization.” Math. Prob. Eng. 2020 (Jan): e8360706. https://doi.org/10.1155/2020/8360706.
Yan, T., and T. Raghunathan. 2007. “Using proxy measures of the survey variables in post-survey adjustments in a transportation survey.” Proc. Surv. Res. Methods Sect. Am. Statist. Assoc. 414 (5): 3349–3355.
Yang, J.-B., and H.-Y. Chou. 2018. “Mixed approach to government BIM implementation policy: An empirical study of Taiwan.” J. Build. Eng. 20 (Jan): 337–343. https://doi.org/10.1016/j.jobe.2018.08.007.
Yin, R. K. 2023. Case study research and applications. 6th ed. Thousand Oaks, CA: SAGE.
Zar, J. H. 2005. “Spearman rank correlation.” In Encyclopedia of biostatistics. New York: Wiley. https://doi.org/10.1002/0470011815.b2a15150.
Zhu, H., B.-G. Hwang, J. Ngo, and J. P. S. Tan. 2022. “Applications of smart technologies in construction project management.” J. Constr. Eng. Manage. 148 (4): 04022010. https://doi.org/10.1061/(ASCE)CO.1943-7862.0002260.
Information & Authors
Information
Published In
Journal of Construction Engineering and Management
Volume 150 • Issue 10 • October 2024
Copyright
© 2024 American Society of Civil Engineers.
History
Received: May 9, 2023
Accepted: May 24, 2024
Published online: Aug 9, 2024
Published in print: Oct 1, 2024
Discussion open until: Jan 9, 2025
ASCE Technical Topics:
- Aerospace engineering
- Business management
- Case studies
- Construction engineering
- Construction industry
- Construction management
- Diagnosis
- Engineering fundamentals
- Forensic engineering
- Methodology (by type)
- Organizations
- Practice and Profession
- Research methods (by type)
- Structural engineering
- Surveys (non-geomatic)
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