Determinants to blockchain technology adoption: a survey in Vietnam construction enterprises
Email:
hungnv.xd@tdmu.edu.vn
Từ khóa:
blockchain technology; technology acceptance model; TOE; structural equation modeling; construction industry; adoption factors
Tóm tắt
In recent years, blockchain technology has demonstrated significant potential benefits for the construction industry, yet its adoption remains limited. This study investigates the determinants influencing blockchain adoption within construction organizations in Vietnam. The research combined Technology Acceptance Model (TAM) and Technology–Organization–Environment (TOE) framework to identify and organize determinants into latent constructs including technology, organization and environment dimensions. A questionnaire was developed to collect data from 122 construction practitioners, the model was then empirically tested and validated through using structural equation modeling (SEM). The results indicate that technological factors significantly affect users' perceived usefulness and perceived ease of use regarding blockchain technology. In contrast, organizational and environmental factors do exhibit no significant impact on perceived ease of use. Moreover, perceived usefulness emerges as a critical determinant of user acceptance of blockchain technology. Collectively, these insights contribute to valuable data to develop a roadmap for promoting blockchain implementation in the Vietnamese construction industryTài liệu tham khảo
[1]. K. Kim, G. Lee, S. Kim. A study on the application of blockchain technology in the construction industry, KSCE journal of civil engineering, 24 (2020) 2561-71. https://doi.org/https://doi.org/10.1007/s12205-020-0188-x
[2]. D. Lee, SH. Lee, N. Masoud, M. Krishnan, V.C. Li, Integrated digital twin and blockchain framework to support accountable information sharing in construction projects. Automation in construction, 127 (2021) 103688. https://doi.org/https://doi.org/10.1016/j.autcon.2021.103688
[3]. E.E. Ameyaw, D.J. Edwards, B. Kumar, N. Thurairajah, D.-G. Owusu-Manu, G.D. Oppong, Critical factors influencing adoption of blockchain-enabled smart contracts in construction projects, Journal of Construction Engineering and Management, 149 (2023) 04023003. https://doi.org/https://doi.org/10.1061/jcemd4.coeng-12081
[4]. N.O. Nawari, S. Ravindran, Blockchain and the built environment: Potentials and limitations, Journal of Building Engineering, 25 (2019) 100832. https://doi.org/https://doi.org/10.1016/j.jobe.2019.100832
[5]. M. Salimitari, M. Chatterjee, Y.P. Fallah, A survey on consensus methods in blockchain for resource-constrained IoT networks, Internet of Things, 11 (2020) 100212. https://doi.org/https://doi.org/10.1016/j.iot.2020.100212
[6]. G.T. Weerasuriya, S. Perera, R.N. Calheiros, Technological imperatives for issues in the certification of quality, progress, and payments in construction projects: A systematic review, Construction Economics and Building, 25 (2025) 25-48. https://doi.org/10.5130/AJCEB.v25i1.8680
[7]. S. Mansfield-Devine, Beyond Bitcoin: using blockchain technology to provide assurance in the commercial world, Computer Fraud & Security, 2017 (2017) 14-8. https://doi.org/https://doi.org/10.1016/s1361-3723(17)30042-8
[8]. M. Wang, B. Li, D. Song, The impact of blockchain on restricting the misuse of green loans in a capital-constrained supply chain. European Journal of Operational Research, 314 (2024) 980-96. https://doi.org/https://doi.org/10.1016/j.ejor.2023.11.003
[9]. C. Ting, X. Sun, Z. Sun, X. Zhang, J. Qiu, The role of blockchain technology in facilitating finance for metal and mining resources, Resources Policy, 99 (2024) 105383. https://doi.org/https://doi.org/10.1016/j.resourpol.2024.105383
[10]. S. Ahmadisheykhsarmast, R. Sonmez, A smart contract system for security of payment of construction contracts. Automation in construction, 120 (2020) 103401. https://doi.org/10.1016/j.autcon.2020.103401.
[11]. M. Das, H. Luo, J.C. Cheng, Securing interim payments in construction projects through a blockchain-based framework, Automation in construction, 118 (2020) 103284. https://doi.org/https://doi.org/10.1016/j.autcon.2020.103284
[12]. L. Hughes, Y.K. Dwivedi, S.K. Misra, N.P. Rana, V. Raghavan, V. Akella, Blockchain research, practice and policy: Applications, benefits, limitations, emerging research themes and research agenda, International journal of information management, 49 (2019) 114-29. https://doi.org/https://doi.org/10.1016/j.ijinfomgt.2019.02.005.
[13]. D. Sheng, L. Ding, B. Zhong, P.E. Love, H. Luo, J. Chen, Chen J. Construction quality information management with blockchains, Automation in construction, 120 (2020) 103373. https://doi.org/10.1016/j.autcon.2020.103373
[14]. A.A. Hijazi, S. Perera, R.N. Calheiros, A. Alashwal, Rationale for the integration of BIM and blockchain for the construction supply chain data delivery: A systematic literature review and validation through focus group, Journal of construction engineering and management, 147 (2021) 03121005. https://doi.org/https://doi.org/10.1061/(asce)co.1943-7862.0002142
[15]. X. Tao, M. Das, Y. Liu, J.C. Cheng, Distributed common data environment using blockchain and Interplanetary File System for secure BIM-based collaborative design, Automation in Construction, 130 (2021) 103851. https://doi.org/https://doi.org/10.1016/j.autcon.2021.103851
[16]. C. Li, Y. Zhang, Y. Xu, Factors influencing the adoption of blockchain in the construction industry: a hybrid approach using PLS-SEM and fsQCA, Buildings, 12 (2022) 1349. https://doi.org/10.3390/buildings12091349
[17]. X. Wang, L. Liu, J. Liu, X. Huang, Understanding the determinants of blockchain technology adoption in the construction industry, Buildings, 12 (2022) 1709. https://doi.org/https://doi.org/10.3390/buildings12101709
[18]. A.K. Singh, V.P. Kumar, G. Dehdasht, S.R. Mohandes, P. Manu, F.P. Rahimian, Investigating barriers to blockchain adoption in construction supply chain management: A fuzzy-based MCDM approach, Technological Forecasting and Social Change, 196 (2023) 122849. https://doi.org/https://doi.org/10.1016/j.techfore.2023.122849.
[19]. Y. Xu, H.-Y. Chong, M. Chi, Modelling the blockchain adoption barriers in the AEC industry, Engineering, Construction and Architectural Management, 30 (2023) 125-53. https://doi.org/https://doi.org/10.1108/ecam-04-2021-0335
[20]. S.-L. Si, X.-Y. You, H.-C. Liu, P. Zhang, DEMATEL technique: a systematic review of the state‐of‐the‐art literature on methodologies and applications, Mathematical problems in Engineering, 1 (2018) 3696457. https://doi.org/https://doi.org/10.1155/2018/3696457
[21]. F.D. Davis, Perceived usefulness, perceived ease of use, and user acceptance of information technology, MIS quarterly, (1989) 319-40. https://doi.org/https://doi.org/10.2307/249008
[22]. W.J. Obidallah, W. Rashideh, A.M. Kamaruddeen, T. Alzahrani, Y. Alduraywish, A. Alsahli, Beyond the hype: A TAM-based analysis of blockchain adoption drivers in construction industry, Heliyon, 10 (2024). https://doi.org/https://doi.org/10.1016/j.heliyon.2024.e38522.
[23]. J.M. Utterback, The process of technological innovation within the firm, Academy of management Journal, 14 (1971) 75-88. https://doi.org/10.5465/254712.
[24]. O. Awa, O. Ukoha, S.R. Igwe, Revisiting technology-organization-environment (TOE) theory for enriched applicability, The Bottom Line, 30 (2017) 2-22. https://doi.org/https://doi.org/10.1108/BL-12-2016-0044.
[25]. S. Chatterjee, N.P. Rana, Y.K. Dwivedi, A.M. Baabdullah, Understanding AI adoption in manufacturing and production firms using an integrated TAM-TOE model, Technological Forecasting and Social Change, 170 (2021) 120880. https://doi.org/https://doi.org/10.1016/j.techfore.2021.120880
[26]. M.G. Aboelmaged, Predicting e-readiness at firm-level: An analysis of technological, organizational and environmental (TOE) effects on e-maintenance readiness in manufacturing firms, International Journal of Information Management, 34 (2014) 639-51. https://doi.org/https://doi.org/10.1016/j.ijinfomgt.2014.05.002
[27]. R. Ibrahim, N. Leng, R. Yusoff, G. Samy, S. Masrom, Z. Rizman, E-learning acceptance based on technology acceptance model (TAM), Journal of Fundamental and Applied Sciences, 9 (2017) 871-89. https://doi.org/https://doi.org/10.4314/jfas.v9i4S.50
[28]. A. Sani, Y. Khristiana, A.U. Zailani, T. Husain, E-business adoption models in organizational contexts on the TAM extended model: A preliminary assessment, 2020 8th International conference on cyber and IT service management, (2020) 1-5. https://doi.org/10.1109/citsm50537.2020.9268869
[29]. C. Yoon, Extending the TAM for Green IT: A normative perspective, Computers in Human Behavior, 83 (2018) 129-39. https://doi.org/https://doi.org/10.1016/j.chb.2018.01.032.
[30]. P. Manu, A.-M. Mahamadu, T.T. Nguyen, C. Ath, A.Y.T. Heng, S.C. Kit, Health and safety management practices of contractors in South East Asia: A multi country study of Cambodia, Vietnam, and Malaysia, Safety science, 107 (2018) 188-201. https://doi.org/https://doi.org/10.1016/j.ssci.2017.07.007.
[2]. D. Lee, SH. Lee, N. Masoud, M. Krishnan, V.C. Li, Integrated digital twin and blockchain framework to support accountable information sharing in construction projects. Automation in construction, 127 (2021) 103688. https://doi.org/https://doi.org/10.1016/j.autcon.2021.103688
[3]. E.E. Ameyaw, D.J. Edwards, B. Kumar, N. Thurairajah, D.-G. Owusu-Manu, G.D. Oppong, Critical factors influencing adoption of blockchain-enabled smart contracts in construction projects, Journal of Construction Engineering and Management, 149 (2023) 04023003. https://doi.org/https://doi.org/10.1061/jcemd4.coeng-12081
[4]. N.O. Nawari, S. Ravindran, Blockchain and the built environment: Potentials and limitations, Journal of Building Engineering, 25 (2019) 100832. https://doi.org/https://doi.org/10.1016/j.jobe.2019.100832
[5]. M. Salimitari, M. Chatterjee, Y.P. Fallah, A survey on consensus methods in blockchain for resource-constrained IoT networks, Internet of Things, 11 (2020) 100212. https://doi.org/https://doi.org/10.1016/j.iot.2020.100212
[6]. G.T. Weerasuriya, S. Perera, R.N. Calheiros, Technological imperatives for issues in the certification of quality, progress, and payments in construction projects: A systematic review, Construction Economics and Building, 25 (2025) 25-48. https://doi.org/10.5130/AJCEB.v25i1.8680
[7]. S. Mansfield-Devine, Beyond Bitcoin: using blockchain technology to provide assurance in the commercial world, Computer Fraud & Security, 2017 (2017) 14-8. https://doi.org/https://doi.org/10.1016/s1361-3723(17)30042-8
[8]. M. Wang, B. Li, D. Song, The impact of blockchain on restricting the misuse of green loans in a capital-constrained supply chain. European Journal of Operational Research, 314 (2024) 980-96. https://doi.org/https://doi.org/10.1016/j.ejor.2023.11.003
[9]. C. Ting, X. Sun, Z. Sun, X. Zhang, J. Qiu, The role of blockchain technology in facilitating finance for metal and mining resources, Resources Policy, 99 (2024) 105383. https://doi.org/https://doi.org/10.1016/j.resourpol.2024.105383
[10]. S. Ahmadisheykhsarmast, R. Sonmez, A smart contract system for security of payment of construction contracts. Automation in construction, 120 (2020) 103401. https://doi.org/10.1016/j.autcon.2020.103401.
[11]. M. Das, H. Luo, J.C. Cheng, Securing interim payments in construction projects through a blockchain-based framework, Automation in construction, 118 (2020) 103284. https://doi.org/https://doi.org/10.1016/j.autcon.2020.103284
[12]. L. Hughes, Y.K. Dwivedi, S.K. Misra, N.P. Rana, V. Raghavan, V. Akella, Blockchain research, practice and policy: Applications, benefits, limitations, emerging research themes and research agenda, International journal of information management, 49 (2019) 114-29. https://doi.org/https://doi.org/10.1016/j.ijinfomgt.2019.02.005.
[13]. D. Sheng, L. Ding, B. Zhong, P.E. Love, H. Luo, J. Chen, Chen J. Construction quality information management with blockchains, Automation in construction, 120 (2020) 103373. https://doi.org/10.1016/j.autcon.2020.103373
[14]. A.A. Hijazi, S. Perera, R.N. Calheiros, A. Alashwal, Rationale for the integration of BIM and blockchain for the construction supply chain data delivery: A systematic literature review and validation through focus group, Journal of construction engineering and management, 147 (2021) 03121005. https://doi.org/https://doi.org/10.1061/(asce)co.1943-7862.0002142
[15]. X. Tao, M. Das, Y. Liu, J.C. Cheng, Distributed common data environment using blockchain and Interplanetary File System for secure BIM-based collaborative design, Automation in Construction, 130 (2021) 103851. https://doi.org/https://doi.org/10.1016/j.autcon.2021.103851
[16]. C. Li, Y. Zhang, Y. Xu, Factors influencing the adoption of blockchain in the construction industry: a hybrid approach using PLS-SEM and fsQCA, Buildings, 12 (2022) 1349. https://doi.org/10.3390/buildings12091349
[17]. X. Wang, L. Liu, J. Liu, X. Huang, Understanding the determinants of blockchain technology adoption in the construction industry, Buildings, 12 (2022) 1709. https://doi.org/https://doi.org/10.3390/buildings12101709
[18]. A.K. Singh, V.P. Kumar, G. Dehdasht, S.R. Mohandes, P. Manu, F.P. Rahimian, Investigating barriers to blockchain adoption in construction supply chain management: A fuzzy-based MCDM approach, Technological Forecasting and Social Change, 196 (2023) 122849. https://doi.org/https://doi.org/10.1016/j.techfore.2023.122849.
[19]. Y. Xu, H.-Y. Chong, M. Chi, Modelling the blockchain adoption barriers in the AEC industry, Engineering, Construction and Architectural Management, 30 (2023) 125-53. https://doi.org/https://doi.org/10.1108/ecam-04-2021-0335
[20]. S.-L. Si, X.-Y. You, H.-C. Liu, P. Zhang, DEMATEL technique: a systematic review of the state‐of‐the‐art literature on methodologies and applications, Mathematical problems in Engineering, 1 (2018) 3696457. https://doi.org/https://doi.org/10.1155/2018/3696457
[21]. F.D. Davis, Perceived usefulness, perceived ease of use, and user acceptance of information technology, MIS quarterly, (1989) 319-40. https://doi.org/https://doi.org/10.2307/249008
[22]. W.J. Obidallah, W. Rashideh, A.M. Kamaruddeen, T. Alzahrani, Y. Alduraywish, A. Alsahli, Beyond the hype: A TAM-based analysis of blockchain adoption drivers in construction industry, Heliyon, 10 (2024). https://doi.org/https://doi.org/10.1016/j.heliyon.2024.e38522.
[23]. J.M. Utterback, The process of technological innovation within the firm, Academy of management Journal, 14 (1971) 75-88. https://doi.org/10.5465/254712.
[24]. O. Awa, O. Ukoha, S.R. Igwe, Revisiting technology-organization-environment (TOE) theory for enriched applicability, The Bottom Line, 30 (2017) 2-22. https://doi.org/https://doi.org/10.1108/BL-12-2016-0044.
[25]. S. Chatterjee, N.P. Rana, Y.K. Dwivedi, A.M. Baabdullah, Understanding AI adoption in manufacturing and production firms using an integrated TAM-TOE model, Technological Forecasting and Social Change, 170 (2021) 120880. https://doi.org/https://doi.org/10.1016/j.techfore.2021.120880
[26]. M.G. Aboelmaged, Predicting e-readiness at firm-level: An analysis of technological, organizational and environmental (TOE) effects on e-maintenance readiness in manufacturing firms, International Journal of Information Management, 34 (2014) 639-51. https://doi.org/https://doi.org/10.1016/j.ijinfomgt.2014.05.002
[27]. R. Ibrahim, N. Leng, R. Yusoff, G. Samy, S. Masrom, Z. Rizman, E-learning acceptance based on technology acceptance model (TAM), Journal of Fundamental and Applied Sciences, 9 (2017) 871-89. https://doi.org/https://doi.org/10.4314/jfas.v9i4S.50
[28]. A. Sani, Y. Khristiana, A.U. Zailani, T. Husain, E-business adoption models in organizational contexts on the TAM extended model: A preliminary assessment, 2020 8th International conference on cyber and IT service management, (2020) 1-5. https://doi.org/10.1109/citsm50537.2020.9268869
[29]. C. Yoon, Extending the TAM for Green IT: A normative perspective, Computers in Human Behavior, 83 (2018) 129-39. https://doi.org/https://doi.org/10.1016/j.chb.2018.01.032.
[30]. P. Manu, A.-M. Mahamadu, T.T. Nguyen, C. Ath, A.Y.T. Heng, S.C. Kit, Health and safety management practices of contractors in South East Asia: A multi country study of Cambodia, Vietnam, and Malaysia, Safety science, 107 (2018) 188-201. https://doi.org/https://doi.org/10.1016/j.ssci.2017.07.007.
Tải xuống
Chưa có dữ liệu thống kê
Nhận bài
01/10/2025
Nhận bài sửa
11/11/2025
Chấp nhận đăng
12/01/2026
Xuất bản
15/01/2026
Chuyên mục
Công trình khoa học
Kiểu trích dẫn
Nguyen Viet, H. (1768410000). Determinants to blockchain technology adoption: a survey in Vietnam construction enterprises. Tạp Chí Khoa Học Giao Thông Vận Tải, 77(1), 58-69. https://doi.org/10.47869/tcsj.77.1.5
