A DANP model for evaluating the factors influencing blockchain adoption in the construction industry’s carbon trading
Yi-Hsin Lin , Mengqi Qiao , Zilefac Ebenezer Nwetlawung
Urban Lifeline ›› 2025, Vol. 3 ›› Issue (1) : 10
Blockchain technology is believed to address trust and efficiency issues in the carbon trading market. This study aims to identify the factors that impact the adoption of blockchain technology in the carbon trading within the construction industry. Using the Technology-Organization-Environment (TOE) framework, this study explores the factors impacting the adoption of blockchain, proposing 18 influencing factors. Based on a survey involving 29 experts, an analysis of the interrelationships among factors was performed using the Decision Testing and Evaluation Laboratory (DEMATEL). The identification of key factors was then accomplished by analyzing the weight results of the DEMATEL-based Analytical Network Process (DANP). The results show that carbon trading companies contend with more environmental and technological influences, with the former dominating. Key determinants include network effect, top management support and government support. Furthermore, technological maturity additionally influences the decision-making process regarding the adoption of blockchain to a certain extent. This research provides insights influencing blockchain adoption for carbon emission trading within the construction sector, informing sustainable practices in emissions management.
Carbon trading / Blockchain / TOE / DEMATEL / DEMATEL-based ANP (DANP) / Information and Computing Sciences / Information Systems / Commerce, Management, Tourism and Services / Business and Management
| [1] |
|
| [2] |
|
| [3] |
|
| [4] |
|
| [5] |
|
| [6] |
|
| [7] |
|
| [8] |
|
| [9] |
|
| [10] |
|
| [11] |
|
| [12] |
|
| [13] |
|
| [14] |
|
| [15] |
|
| [16] |
|
| [17] |
|
| [18] |
|
| [19] |
|
| [20] |
|
| [21] |
|
| [22] |
|
| [23] |
|
| [24] |
|
| [25] |
|
| [26] |
|
| [27] |
|
| [28] |
|
| [29] |
|
| [30] |
|
| [31] |
|
| [32] |
|
| [33] |
|
| [34] |
Ganguly KK (2022) Understanding the challenges of the adoption of blockchain technology in the logistics sector: the TOE framework. Technol Anal Strateg Manag 36(3):457–71. https://doi.org/10.1080/09537325.2022.2036333 |
| [35] |
|
| [36] |
Wang X, Du Y, Liang X (2019) A reputation-based carbon emissions trading scheme enabled by block chain. Proceedings of the 34th Youth Academic Annual Conference of Chinese-Association-of-Automation 446–50. https://doi.org/10.1109/YAC.2019.8787610 |
| [37] |
|
| [38] |
|
| [39] |
|
| [40] |
|
| [41] |
|
| [42] |
|
| [43] |
|
| [44] |
|
| [45] |
Liang X, Du Y, Wang X, Zeng Y (2019) Design of a double-blockchain structured carbon emission trading scheme with reputation. Proceedings of the 34th Youth Academic Annual Conference of Chinese-Association-of-Automation 464–7. https://doi.org/10.1109/YAC.2019.8787720 |
| [46] |
|
| [47] |
Batubara FR, Ubacht J, Janssen M (2019) Unraveling transparency and accountability in blockchain. Proceedings of the 20th Annual International Conference on Digital Government Research 204–13. https://doi.org/10.1145/3325112.3325262 |
| [48] |
|
| [49] |
|
| [50] |
Chavalala MM, Bag S, Pretorius JHC, Rahman MS (2024) A multi-method study on the barriers of the blockchain technology application in the cold supply chains. J Enterp Inf Manag 37(2):745-76. https://doi.org/10.1108/Jeim-06-2022-0209 |
| [51] |
|
| [52] |
|
| [53] |
|
| [54] |
Wu HT, Zhong WY, Zhong BT, Li H, Guo JD, Mehmood I (2025) Barrier identification, analysis and solutions of blockchain adoption in construction: a fuzzy DEMATEL and TOE integrated method. Eng Constr Archit Ma 32(1):409-26. https://doi.org/10.1108/Ecam-02-2023-0168 |
| [55] |
|
| [56] |
|
| [57] |
|
| [58] |
|
| [59] |
|
| [60] |
|
| [61] |
|
| [62] |
|
| [63] |
|
| [64] |
|
| [65] |
Nguyen MV (2024) Barriers to corporate social responsibility performance in construction organizations. Eng Constr Archit Ma 31(4): 1473-96. https://doi.org/10.1108/Ecam-05-2022-0489 |
| [66] |
Giri BC, Molla MU, Biswas P (2022) Pythagorean fuzzy DEMATEL method for supplier selection in sustainable supply chain management. Expert Systems with Applications 193:116396. https://doi.org/10.1016/j.eswa.2021.116396 |
| [67] |
Liu X, Zhu T, Xue Y, Huang Z, Le Y (2024) Analyzing the drivers of the low-carbon construction supply chain based on an integrated DEMATEL–ANP approach. Engineering, Construction and Architectural Management (ahead-of-print). https://doi.org/10.1108/ECAM-09-2023-0965 |
| [68] |
Rasti H, Feili A, Sorooshian S (2024) Analysing critical success factor of smart contract in construction industry with DANP approach. Front Built Environ 10:1478239. https://doi.org/10.3389/fbuil.2024.1478239 |
| [69] |
|
| [70] |
|
| [71] |
Yang J, Bi H, Liang Z, Zhou H, Yang H (2020) A survey on blockchain: architecture, applications, challenges, and future trends. 2020 International Conferences on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics):749–54. https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData-Cybermatics50389.2020.00129 |
| [72] |
|
| [73] |
|
| [74] |
Aghion P (2012) Innovation process and policy: what do we learn from new growth theory? In: Lerner J, Stern S (eds) The rate and direction of inventive activity revisited. University of Chicago Press, Chicago, IL, pp 515–20 |
| [75] |
|
The Author(s)
/
| 〈 |
|
〉 |