Factors That Facilitated the Development of Blockchain Technology in the AEC Industry: Study Based on System Dynamics
Publication: Journal of Management in Engineering
Volume 40, Issue 6
Abstract
Various factors restrict the forward movement of blockchain technology (BT) in the architecture, engineering, and construction (AEC) industry. These factors frequently interact and change over time. Thus, conducting continual research and recognizing the crucial factors to establish focused policies and strategies for progress are essential. To tackle this issue, this paper puts forward a theoretical research model of the system dynamics of BT development in the AEC industry from a dynamic research perspective. This research model incorporates the technology–organization–environment framework and the technology acceptance model. The research results show that the development trend of BT within the AEC industry follows an overall S-shape. To varying degrees, the key influencing factors at the technological, organizational, and environmental levels can promote the development of BT. Furthermore, the paper analyzes promotion strategies for the key influencing factors at these three levels. We found that promoting organizational drive significantly impacted improving the effect of BT development. For instance, promoting organizational drive twice could improve the effect by 6.85%. On the other hand, promoting technological factors had a lesser effect; doubling that promotion resulted in an improvement of only 4.53%. Additionally, in the initial phases of BT development, its maturity, compatibility, and adoption cost play a more pronounced effect in determining the level of its development. The research findings aim to enable analyzing the key factors that influence AEC industry development by leveraging BT. This analysis provides the government with the necessary information to create policies that relate to BT. It also shows how adopting this technology can help businesses to reduce costs and improve efficiency.
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Data Availability Statement
Data about SD model parameters are available from the corresponding author upon reasonable request.
Acknowledgments
This research project was supported by funding from the Guangdong Philosophy and Social Science Foundation (No. GD23XGL075) and the National Social Science Foundation of China (No. 22BGL187).
References
Akinradewo, O. I., C. O. Aigbavboa, D. J. Edwards, and A. E. Oke. 2022. “A principal component analysis of barriers to the implementation of blockchain technology in the South African built environment.” J. Eng. Des. Technol. 20 (4): 914–934. https://doi.org/10.1108/JEDT-05-2021-0292.
Al Hadwer, A., M. Tavana, D. Gillis, and D. Rezania. 2021. “A systematic review of organizational factors impacting cloud-based technology adoption using Technology-organization-environment framework.” Internet Things 15 (Sep): 100407. https://doi.org/10.1016/j.iot.2021.100407.
Ameyaw, E. E., D. J. Edwards, B. Kumar, N. Thurairajah, D. G. Owusu-Manu, and G. D. Oppong. 2023. “Critical factors influencing adoption of blockchain-enabled smart contracts in construction projects.” J. Constr. Eng. Manage. 149 (3): 04023003. https://doi.org/10.1061/JCEMD4.COENG-12081.
Ameye, N., J. Bughin, and N. van Zeebroeck. 2023. “How uncertainty shapes herding in the corporate use of artificial intelligence technology.” Technovation 127 (Sep): 102846. https://doi.org/10.1016/j.technovation.2023.102846.
Andersen, D. L., L. F. Luna-Reyes, V. G. Diker, L. Black, E. Rich, and D. F. Andersen. 2012. “The disconfirmatory interview as a strategy for the assessment of system dynamics models.” Syst. Dyn. Rev. 28 (3): 255–275. https://doi.org/10.1002/sdr.1479.
Armenia, S., E. Franco, F. Iandolo, G. Maielli, and P. Vito. 2024. “Zooming in and out the landscape: Artificial intelligence and system dynamics in business and management.” Technol. Forecast. Soc. Change 200 (Mar): 123131. https://doi.org/10.1016/j.techfore.2023.123131.
Arowolo, W., M. Larsson, and I. Nicolaï. 2024. “Governance of automated vehicle in the urban transport system: Insight from a willingness-to-use survey and Norwegian cultural context.” Transp. Res. Interdiscip. Perspect. 24 (Mar): 101040. https://doi.org/10.1016/j.trip.2024.101040.
Baker, J. 2012. “The technology–organization–environment framework.” Inf. Syst. Theory: Explaining Predicting Our Digital Soc. 1 (Jan): 231–245. https://doi.org/10.1007/978-1-4419-6108-2_12.
Barlas, Y. 1996. “Formal aspects of model validity and validation in system dynamics.” Syst. Dyn. Rev. J. Syst. Dyn. Soc. 12 (3): 183–210. https://doi.org/10.1002/(SICI)1099-1727(199623)12:3%3C183::AID-SDR103%3E3.0.CO;2-4.
Blair, C., E. Gralla, F. Wetmore, J. Goentzel, and M. Peters. 2021. “A systems framework for international development: The data-layered causal loop diagram.” Prod. Oper. Manage. 30 (12): 4374–4395. https://doi.org/10.1111/poms.13492.
Chatterjee, S., N. P. Rana, Y. K. Dwivedi, and A. M. Baabdullah. 2021. “Understanding AI adoption in manufacturing and production firms using an integrated TAM-TOE model.” Technol. Forecast. Soc. Change 170 (Sep): 120880. https://doi.org/10.1016/j.techfore.2021.120880.
Chaveesuk, S., B. Khalid, and W. Chaiyasoonthorn. 2020 “Understanding stakeholders need for using blockchain-based smart contracts in the construction industry of Thailand: Extended TAM framework.” In Proc., 13th Int. Conf. on Human System Interaction (HSI), 2020, 137–141. New York: IEEE. https://doi.org/10.1109/HSI49210.2020.9142675.
China Academy of Information and Communications Technology. 2023. “Blockchain white paper 2018-2023.” Accessed December 1, 2023. http://www.caict.ac.cn/kxyj/qwfb/bps/.
Chung, I. B., C. Caldas, and F. Leite. 2022. “An analysis of blockchain technology and smart contracts for building information modeling.” J. Inf. Technol. Constr. 27 (Jan): 972–990. https://doi.org/10.36680/j.itcon.2022.047.
Chunsheng, Z., Q. Mengfei, L. Hujun, C. Huihua, and Y. Zengke. 2023. “A review of blockchain applications in the construction area.” J. Railway Sci. Eng. 20: 1105–1115. https://doi.org/10.19713/j.cnki.43-1423/u.t20220767.
Clohessy, T., and T. Acton. 2019. “Investigating the influence of organizational factors on blockchain adoption: An innovation theory perspective.” Ind. Manage. Data Syst. 119 (7): 1457–1491. https://doi.org/10.1108/IMDS-08-2018-0365.
Davis, F. D. 1989. “Perceived usefulness, perceived ease of use, and user acceptance of information technology.” MIS Q. 13 (3): 319–340. https://doi.org/10.2307/249008.
Dehghani, M., R. W. Kennedy, A. Mashatan, A. Rese, and D. Karavidas. 2022. “High interest, low adoption. A mixed-method investigation into the factors influencing organizational adoption of blockchain technology.” J. Bus. Res. 149 (Oct): 393–411. https://doi.org/10.1016/j.jbusres.2022.05.015.
Ding, S., H. Hu, L. Dai, and W. Wang. 2023. “Blockchain adoption among multi-stakeholders under government subsidy: From the technology diffusion perspective.” J. Constr. Eng. Manage. 149 (5): 04023016. https://doi.org/10.1061/JCEMD4.COENG-12637.
Drazin, R. 1991. “The processes of technological innovation.” J. Technol. Transfer 16 (1): 45–46. https://doi.org/10.1007/BF02371446.
Elbashbishy, T. S., G. G. Ali, and I. H. El-Adaway. 2022. “Blockchain technology in the construction industry: Mapping current research trends using social network analysis and clustering.” Construct. Manage. Econ. 40 (5): 406–427. https://doi.org/10.1080/01446193.2022.2056216.
Elghaish, F., M. R. Hosseini, S. Matarneh, S. Talebi, S. Wu, I. Martek, M. Poshdar, and N. Ghodrati. 2021. “Blockchain and the ‘Internet of Things’ for the construction industry: Research trends and opportunities.” Autom. Constr. 132 (Dec): 103942. https://doi.org/10.1016/j.autcon.2021.103942.
European Securities and Markets Authority. 2023. “Markets in crypto-assets regulation (MiCA)”. Accessed December 1, 2023. https://www.esma.europa.eu/esmas-activities/digital-finance-and-innovation/markets-crypto-assets-regulation-mica.
Figueiredo, K., A. W. Hammad, A. Haddad, and V. W. Tam. 2022. “Assessing the usability of blockchain for sustainability: Extending key themes to the construction industry.” J. Cleaner Prod. 343 (Apr): 131047. https://doi.org/10.1016/j.jclepro.2022.131047.
Gangwar, H., H. Date, and R. Ramaswamy. 2015. “Understanding determinants of cloud computing adoption using an integrated TAM-TOE model.” J. Enterp. Inf. Manage. 28 (1): 107–130. https://doi.org/10.1108/JEIM-08-2013-0065.
Hald, K. S., and A. Kinra. 2019. “How the blockchain enables and constrains supply chain performance.” Int. J. Phys. Distrib. Logist. Manage. 49 (4): 376–397. https://doi.org/10.1108/IJPDLM-02-2019-0063.
Heiskanen, A. 2017. “The technology of trust: How the internet of things and blockchain could usher in a new era of construction productivity.” Constr. Res. Innov. 8 (2): 66–70. https://doi.org/10.1080/20450249.2017.1337349.
Hiran, K. K., and A. Henten. 2020. “An integrated TOE–DoI framework for cloud computing adoption in the higher education sector: A case study of Sub-Saharan Africa, Ethiopia.” Int. J. Syst. Assur. Eng. Manage. 11 (Apr): 441–449. https://doi.org/10.1007/s13198-019-00872-z.
Huang, J.-Y., and S.-J. Lin. 2020. “Analysis of the influential factors of transformation resistance of small and medium enterprise managers.” J. Gen. Manage. 45 (3): 163–175. https://doi.org/10.1177/0306307019892708.
Izadi, E., M. Nikbakht, M. R. Feylizadeh, and A. Shahin. 2023. “A system dynamics model in the humanitarian supply chain based on blockchain technology.” Int. J. Disaster Risk Reduct. 96 (Oct): 103977. https://doi.org/10.1016/j.ijdrr.2023.103977.
Japutra, A., S. Molinillo, A. F. Utami, and I. A. Ekaputra. 2022. “Exploring the effect of relative advantage and challenge on customer engagement behavior with mobile commerce applications.” Telemat. Inf. 72 (Aug): 101841. https://doi.org/10.1016/j.tele.2022.101841.
Jo, H., and Y. Bang. 2023. “Understanding continuance intention of enterprise resource planning (ERP): TOE, TAM, and IS success model.” Heliyon 9 (10): e2019. https://doi.org/10.1016/j.heliyon.2023.e21019.
Kamble, S. S., A. Gunasekaran, V. Kumar, A. Belhadi, and C. Foropon. 2021. “A machine learning-based approach for predicting blockchain adoption in the supply chain.” Technol. Forecast. Soc. Change 163 (Feb): 120465. https://doi.org/10.1016/j.techfore.2020.120465.
Király, G., and P. Miskolczi. 2019. “Dynamics of participation: System dynamics and participation—An empirical review.” Syst. Res. Behav. Sci. 36 (2): 199–210. https://doi.org/10.1002/sres.2580.
Kiu, M., F. Chia, and P. Wong. 2022. “Exploring the potentials of blockchain application in the construction industry: Asystematic review.” Int. J. Constr. Manage. 22 (15): 2931–2940. https://doi.org/10.1080/15623599.2020.1833436.
Komulainen, R., and S. Nätti. 2023. “Barriers to blockchain adoption: Empirical observations from securities services value network.” J. Bus. Res. 159 (Apr): 113714. https://doi.org/10.1016/j.jbusres.2023.113714.
Kouhizadeh, M., S. Saberi, and J. Sarkis. 2021. “Blockchain technology and the sustainable supply chain: Theoretically exploring adoption barriers.” Int. J. Prod. Econ. 231 (Jan): 107831. https://doi.org/10.1016/j.ijpe.2020.107831.
Kumar, S., and M. K. Barua. 2023. “Exploring the hyper ledger blockchain technology disruption and barriers of blockchain adoption in the petroleum supply chain.” Resour. Policy 81 (Mar): 103366. https://doi.org/10.1016/j.resourpol.2023.103366.
Kusumaningdyah, W., A. Eunike, and R. Yuniarti. 2013. “Modeling tradeoff in ship breaking industry considering sustainability aspects: A system dynamics approach.” Procedia Environ. Sci. 17 (Jan): 785–794. https://doi.org/10.1016/j.proenv.2013.02.096.
Lakhani, K. R., and M. Iansiti. 2017. “The truth about blockchain.” Harv. Bus. Rev. 95 (1): 119–127.
Lee, S., W. Han, and Y. Park. 2015. “Measuring the functional dynamics of product-service system: A system dynamics approach.” Comput. Ind. Eng. 80 (Feb): 159–170. https://doi.org/10.1016/j.cie.2014.12.005.
Li, C., Y. Zhang, and Y. Xu. 2022. “Factors influencing the adoption of blockchain in the construction industry: A hybrid approach using PLS-SEM and fsQCA.” Buildings 12 (9): 1349. https://doi.org/10.3390/buildings12091349.
Li, L., Z. Yi, F. Jiang, S. Zhang, and J. Zhou. 2023. “Exploring the mechanism of digital transformation empowering green innovation in construction enterprises.” Dev. Built Environ. 15 (Oct): 100199. https://doi.org/10.1016/j.dibe.2023.100199.
Lin, Y., and W. J. Zhang. 2004. “Towards a novel interface design framework: Function–behavior–state paradigm.” Int. J. Hum. Comput. Stud. 61 (3): 259–297. https://doi.org/10.1016/j.ijhcs.2003.11.008.
Lippert, S. K., and C. Govindarajulu. 2006. “Technological, organizational, and environmental antecedents to web services adoption.” Commun. IIMA 6 (1): 14. https://doi.org/10.58729/1941-6687.1303.
Liu, H., S. Han, and Z. Zhu. 2023. “Blockchain technology toward smart construction: Review and future directions.” J. Constr. Eng. Manage. 149 (3): 03123002. https://doi.org/10.1061/JCEMD4.COENG-11929.
Liu, J., L. Yan, and D. Wang. 2022. “A hybrid blockchain model for trusted data of supply chain finance.” Wirel. Pers. Commun. 127 (Nov): 919–943. https://doi.org/10.1007/s11277-021-08451-x.
Lu, L., C. Liang, D. Gu, Y. Ma, Y. Xie, and S. Zhao. 2021. “What advantages of blockchain affect its adoption in the elderly care industry? A study based on the technology–organisation–environment framework.” Technol. Soc. 67 (Nov): 101786. https://doi.org/10.1016/j.techsoc.2021.101786.
Mikalef, P., K. Lemmer, C. Schaefer, M. Ylinen, S. O. Fjørtoft, H. Y. Torvatn, and B. Niehaves. 2022. “Enabling AI capabilities in government agencies: A study of determinants for European municipalities.” Gov. Inf. Q. 39 (4): 101596. https://doi.org/10.1016/j.giq.2021.101596.
Ministry of Housing and Urban-Rural Development of the People’s Republic of China. 2023. “Construction statistical yearbook: 2022 Statistical yearbook of urban construction.” Accessed December 1, 2023. https://www.mohurd.gov.cn/gongkai/fdzdgknr/sjfb/tjxx/index.html.
Mohammadi, H. 2015. “Investigating users’ perspectives on e-learning: An integration of TAM and IS success model.” Comput. Hum. Behav. 45 (Apr): 359–374. https://doi.org/10.1016/j.chb.2014.07.044.
Msawil, M., D. Greenwood, and M. Kassem. 2022. “A systematic evaluation of blockchain-enabled contract administration in construction projects.” Autom. Constr. 143 (Nov): 104553. https://doi.org/10.1016/j.autcon.2022.104553.
Mun, Y. Y., J. D. Jackson, J. S. Park, and J. C. Probst. 2006. “Understanding information technology acceptance by individual professionals: Toward an integrative view.” Inf. Manage. 43 (3): 350–363. https://doi.org/10.1016/j.im.2005.08.006.
Oliveira, T., and M. F. Martins. 2010. “Understanding e-business adoption across industries in European countries.” Ind. Manage. Data Syst. 110 (9): 1337–1354. https://doi.org/10.1108/02635571011087428.
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.
Orji, I. J., S. Kusi-Sarpong, S. Huang, and D. Vazquez-Brust. 2020. “Evaluating the factors that influence blockchain adoption in the freight logistics industry.” Transp. Res. Part E: Logist. Transp. Rev. 141 (Sep): 102025. https://doi.org/10.1016/j.tre.2020.102025.
Pan, X., B. Zhong, D. Sheng, X. Yuan, and Y. Wang. 2022. “Blockchain and deep learning technologies for construction equipment security information management.” Autom. Constr. 136 (Apr): 104186. https://doi.org/10.1016/j.autcon.2022.104186.
Perera, S., S. Nanayakkara, M. Rodrigo, S. Senaratne, and R. Weinand. 2020. “Blockchain technology: Is it hype or real in the construction industry?” J. Ind. Inf. Integr. 17 (Mar): 100125. https://doi.org/10.1016/j.jii.2020.100125.
Qiao, W., Y. Ju, P. Dong, and R. L. Tiong. 2024. “How to realize value creation of digital transformation? A system dynamics model.” Expert Syst. Appl. 244 (Jun): 122667. https://doi.org/10.1016/j.eswa.2023.122667.
Qin, X., Y. Shi, K. Lyu, and Y. Mo. 2020. “Using a TAM-TOE model to explore factors of Building Information Modelling (BIM) adoption in the construction industry.” J. Civ. Eng. Manage. 26 (3): 259–277. https://doi.org/10.3846/jcem.2020.12176.
Ranganathan, C., T. S. Teo, and J. Dhaliwal. 2011. “Web-enabled supply chain management: Key antecedents and performance impacts.” Int. J. Inf. Manage. 31 (6): 533–545. https://doi.org/10.1016/j.ijinfomgt.2011.02.004.
Rathnayake, I., G. Wedawatta, and A. Tezel. 2022. “Smart contracts in the construction industry: A systematic review.” Buildings 12 (12): 2082. https://doi.org/10.3390/buildings12122082.
Rogers, E. M. 1995. Diffusion of innovations. New York: Free Press.
Rogers, E. M. 2010. Diffusion of innovations. New York: Simon and Schuster.
Sadeghi, M., A. Mahmoudi, and X. Deng. 2022. “Adopting distributed ledger technology for the sustainable construction industry: Evaluating the barriers using ordinal priority approach.” Environ. Sci. Pollut. Res. 29 (7): 10495–10520. https://doi.org/10.1007/s11356-021-16376-y.
Scherer, R., F. Siddiq, and J. Tondeur. 2019. “The technology acceptance model (TAM): A meta-analytic structural equation modeling approach to explaining teachers’ adoption of digital technology in education.” Comput. Educ. 128 (Jan): 13–35. https://doi.org/10.1016/j.compedu.2018.09.009.
Schleich, J., and S. Alsheimer. 2024. “The relationship between willingness to pay and carbon footprint knowledge: Are individuals willing to pay more to offset their carbon footprint if they learn about its size and distance to the 1.5°C target?” Ecol. Econ. 219 (May): 108151. https://doi.org/10.1016/j.ecolecon.2024.108151.
Schmitt, G., A. Mladenow, C. Strauss, and M. Schaffhauser-Linzatti. 2019. “Smart contracts and Internet of things: A qualitative content analysis using the technology-organization-environment framework to identify key-determinants.” Procedia Comput. Sci. 160 (Jan): 189–196. https://doi.org/10.1016/j.procs.2019.09.460.
Sepasgozar, S. M., S. Hawken, S. Sargolzaei, and M. Foroozanfa. 2019. “Implementing citizen-centric technology in developing smart cities: A model for predicting the acceptance of urban technologies.” Technol. Forecast. Soc. Change 142 (May): 105–116. https://doi.org/10.1016/j.techfore.2018.09.012.
Silvestri, R., N. Adamashvili, M. Fiore, and A. Galati. 2023. “How blockchain technology generates a trust-based competitive advantage in the wine industry: A resource-based view perspective.” Eur. Bus. Rev. 35 (5): 713–736. https://doi.org/10.1108/EBR-10-2022-0217.
Singh, A. K., V. G. R. P. Kumar, J. Hu, and M. Irfan. 2023a. “Investigation of barriers and mitigation strategies to blockchain technology implementation in the construction industry: An interpretive structural modeling approach.” Environ. Sci. Pollut. Res. 30 (38): 89889–89909. https://doi.org/10.1007/s11356-023-28749-6.
Singh, A. K., V. P. Kumar, G. Dehdasht, S. R. Mohandes, P. Manu, and F. P. Rahimian. 2023b. “Investigating the barriers to the adoption of blockchain technology in sustainable construction projects.” J. Cleaner Prod. 403 (Jun): 136840. https://doi.org/10.1016/j.jclepro.2023.136840.
Sun, W., M. F. Antwi-Afari, I. Mehmood, S. Anwer, and W. Umer. 2023. “Critical success factors for implementing blockchain technology in construction.” Autom. Constr. 156 (Dec): 105135. https://doi.org/10.1016/j.autcon.2023.105135.
The White House. 2022. “FACT SHEET: White house releases first-ever comprehensive framework for responsible development of digital assets.” Accessed December, 1 2023. https://www.whitehouse.gov/briefing-room/statements-releases/2022/09/16/fact-sheet-white-house-releases-first-ever-comprehensive-framework-for-responsible-development-of-digital-assets/.
Turner, B. L., H. Kim, and D. F. Andersen. 2013. “Improving coding procedures for purposive text data: Researchable questions for qualitative system dynamics modeling.” Syst. Dyn. Rev. 29 (4): 253–263. https://doi.org/10.1002/sdr.1506.
Ullah, F., S. Qayyum, M. J. Thaheem, F. Al-Turjman, and S. M. Sepasgozar. 2021a. “Risk management in sustainable smart cities governance: A TOE framework.” Technol. Forecast. Soc. Change 167 (Jun): 120743. https://doi.org/10.1016/j.techfore.2021.120743.
Ullah, N., W. Mugahed Al-Rahmi, A. I. Alzahrani, O. Alfarraj, and F. M. Alblehai. 2021b. “Blockchain technology adoption in smart learning environments.” Sustainability 13 (4): 1801. https://doi.org/10.3390/su13041801.
Upadhyay, N. 2020. “Demystifying blockchain: A critical analysis of challenges, applications, and opportunities.” Int. J. Inf. Manage. 54 (Oct): 102120. https://doi.org/10.1016/j.ijinfomgt.2020.102120.
Vafadarnikjoo, A., H. Badri Ahmadi, J. J. Liou, T. Botelho, and K. Chalvatzis. 2021. “Analyzing blockchain adoption barriers in manufacturing supply chains by the neutrosophic analytic hierarchy process.” Ann. Oper. Res. 327 (1): 129–156. https://doi.org/10.1007/s10479-021-04048-6.
Wang, X., L. Liu, J. Liu, and X. Huang. 2022. “Understanding the determinants of blockchain technology adoption in the construction industry.” Buildings 12 (10): 1709. https://doi.org/10.3390/buildings12101709.
Wang, Y.-M., Y.-S. Wang, and Y.-F. Yang. 2010. “Understanding the determinants of RFID adoption in the manufacturing industry.” Technol. Forecast. Soc. Change 77 (5): 803–815. https://doi.org/10.1016/j.techfore.2010.03.006.
Weigong, C., Z. Na, Z. Yousen, C. Zhun, and Z. Yue. 2021. “Study on influencing factors of urban disaster resilience based on DEMATEL-ISM.” J. Catastrophology 36 (1): 1–6. https://doi.org/10.3969/j.issn.1000-811X.2021.01.001.
Weiner, B. J. 2009. “A theory of organizational readiness for change.” Implementation Sci. 4 (Oct): 67. https://doi.org/10.1186/1748-5908-4-67.
Wolf, P., S. Verma, M. Koscina, T. Jasak, and M. Gregersen. 2022. “Consumer-desired far-future circular economy scenarios with blockchain application.” Cleaner Responsible Consumption 4 (Mar): 100048. https://doi.org/10.1016/j.clrc.2022.100048.
Wong, C. Y., Z. X. Keng, Z. F. Mohamad, and S. A. Azizan. 2016. “Patterns of technological accumulation: The comparative advantage and relative impact of Asian emerging economies in low carbon energy technological systems.” Renewable Sustainable Energy Rev. 57 (May): 977–987. https://doi.org/10.1016/j.rser.2015.12.102.
Wu, L., W. Lu, Z. Peng, and C. Webster. 2023. “A blockchain non-fungible token-enabled ‘passport’ for construction waste material cross-jurisdictional trading.” Autom. Constr. 149 (May): 104783. https://doi.org/10.1016/j.autcon.2023.104783.
Xu, Y., H.-Y. Chong, and M. Chi. 2023. “Modeling the blockchain adoption barriers in the AEC industry.” Eng. Constr. Archit. Manage. 30 (1): 125–153. https://doi.org/10.1108/ECAM-04-2021-0335.
Zhang, K., and C. Bu. 2024. “Top managers with information technology backgrounds and digital transformation: Evidence from small and medium companies.” Econ. Model. 132 (Mar): 106629. https://doi.org/10.1016/j.econmod.2023.106629.
Zhang, P., H. Wu, H. Li, B. Zhong, I. W. Fung, and Y. Y. R. Lee. 2023a. “Exploring the adoption of blockchain in modular integrated construction projects: A game theory-based analysis.” J. Cleaner Prod. 408 (Jul): 137115. https://doi.org/10.1016/j.jclepro.2023.137115.
Zhang, X., T. Liu, A. Rahman, and L. Zhou. 2023b. “Blockchain applications for construction contract management: A systematic literature review.” J. Constr. Eng. Manage. 149 (1): 03122011. https://doi.org/10.1061/(ASCE)CO.1943-7862.0002428.
Zhu, K., K. L. Kraemer, and S. Xu. 2006. “The process of innovation assimilation by firms in different countries: A technology diffusion perspective on e-business.” Manage. Sci. 52 (10): 1557–1576. https://doi.org/10.1287/mnsc.1050.0487.
Zuluaga, J. A. F., J. F. Escobar, G. A. G. Martínez, J. C. D’Aleman, and A. O. Vallejo. 2024. “Model for measuring technological maturity for critical sector industries.” J. Open Innovation: Technol. Mark. Complexity 10 (1): 100194. https://doi.org/10.1016/j.joitmc.2023.100194.
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Received: Jan 8, 2024
Accepted: May 22, 2024
Published online: Jul 30, 2024
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