Blockchain Adoption among Multi-Stakeholders under Government Subsidy: From the Technology Diffusion Perspective

Ding, Shishu; Hu, Hao; Dai, Lei; Wang, Wen

doi:10.1061/jcemd4.coeng-12637

Cited by 16 publications

(2 citation statements)

References 33 publications

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“…Besides, it is recommended that conducive conditions be established at national, industry, and organizational levels. The government should enact more regulations to encourage BCT adoption, such as tax incentives for eligible BCT firms, report market demand and potential opportunities, such as by showcasing BCT adoption trend, and set funds for partially subsidizing firms’ cost in purchasing, using, and upgrading relevant software (Ding et al ., 2023). Professional bodies in the industry should publish relevant guidelines to assist users in BCT environment configuration, use, operations, and maintenance.…”

Section: Discussionmentioning

confidence: 99%

Exploring blockchain technology acceptance among non-managerial construction practitioners in Shenzhen, China

Liao,

Ye,

Wei

et al. 2024

ECAM

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PurposeProblems such as information asymmetry and a lack of trust among construction practitioners damage the quality and progress of construction projects. The decentralization, transparency, traceability and temper-proof nature of blockchain technology (BCT) can provide solutions and facilitate multiparty cooperation. However, BCT acceptance in the construction industry is relatively low, and there are few pilot projects adopting BCT. Most relevant literature focuses on BCT acceptance at the industry and organizational levels, but the impact of non-managerial practitioners executing BCT or the traditional approach in day-to-day work tends to be disregarded. This study aims to establish a theoretical model of BCT acceptance, identify key influencing factors and paths of behavioral intention to adopt BCT and promote strategies to enhance BCT adoption.Design/methodology/approachA new BCT acceptance model for construction practitioners was proposed. A survey was performed with 203 construction practitioners in Shenzhen, China and post-survey interviews were conducted with four BCT experts for validation. Covariance-based structural equation modeling was used to examine the influence paths and moderating effect analysis was performed to check practitioners’ differential perceptions.FindingsPerformance expectancy, social influence, facilitating conditions and perceived behavioral control significantly and positively influence behavioral intention to accept BCT, while impacts from effort performance and risk are negative. Overcoming obstacles related to the effort required for BCT adoption and effective risk management will be essential to unlocking BCT’s transformative potential. Then, the moderating effects of respondents’ gender, degree and BCT knowledge as well as the project type involved were analyzed. Continued adoption of BCT in the construction industry has the potential to revolutionize project management, transparency and trust among stakeholders.Research limitations/implicationsThe findings of this research can help practitioners and government agencies understand crucial influencing factors and pathways of BCT acceptance. Targeted measures, such as increasing practitioners’ benefits and sense of BCT usefulness, conducting pilot projects and increasing publicity, were proposed for project leadership teams to enhance BCT adoption. This may lead to increased efficiency, reduced disputes and more streamlined and secure construction processes, ultimately enhancing the industry’s overall performance.Originality/valueFew studies have explored BCT acceptance from the perspective of non-managerial construction practitioners. The BCT acceptance model proposed in this study is a novel adaptation of previous technology acceptance models, with new factors (risk and perceived behavioral control) and moderating variables (degree, BCT knowledge and project type) added for better understanding of non-managerial practitioners’ perceptions and differences.

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Section: Discussionmentioning

confidence: 99%

Exploring blockchain technology acceptance among non-managerial construction practitioners in Shenzhen, China

Liao,

Ye,

Wei

et al. 2024

ECAM

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“…The evaluation standards could refer to the open-sharing evaluation assessment of equipment and instruments about laboratories and the evaluation rules of national critical laboratories promulgated by some countries (MSTPRC, 2014(MSTPRC, , 2022; in the future, the evaluation of resource-sharing behavior of these laboratories can also be incorporated into the credit evaluation system of megaprojects to promote their sharing behavior more effectively. Furthermore, although the data in the numerical simulation are not actual data in practice, the numerical simulation results can fully reflect the research laws and verify the validity of the models (Bravo et al, 2023;Ding et al, 2023;Liu et al, 2023;Zheng & Li, 2023); with the increase in the data used in this experimental resourcesharing platform, case studies and empirical analyses will be conducted to explore the impact of laboratories' participation in the platform on the innovation performance and construction performance of megaprojects; competition will be introduced as a means of coordination, which is similar to the "invisible hand" in the market environment and can incentivize resource-sharing behavior in these laboratories (Gilpatric et al, 2015).…”

Section: Limitations and Future Directionsmentioning

confidence: 94%

Incentive Mechanisms of an Experimental Resource-Sharing Platform Considering Reputation Effects for Megaprojects

Wang,

Zhou

2024

International Journal of Strategic Property Management

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Participating in megaproject experimental tasks would significantly improve the laboratories’ industry influence and future competitiveness. Thus, this paper introduces the long-term reputation effects of the incentive model of an experimental resource-sharing platform for megaprojects, which could motivate them to consider future benefits and improve their current efforts. The aim is to incentivize laboratories’ resource-sharing behavior more effectively and to increase the amount of resources shared by these laboratories on the platform, thus guaranteeing the long-term sustainability of the platform. It constructs the incentive model by combining dual implicit and explicit incentive mechanisms. It analyses the incentive mechanism of a reputation effect on laboratories compared with the pure explicit mechanism so that the primary conditions for reputation incentives can be obtained to achieve Pareto improvement. Finally, the proposed method is validated in combination with data simulation. The results show that although dual implicit and explicit incentive mechanisms could reduce the information asymmetry between the two sides and increase the efforts of laboratories and the benefits of the platform, the platform should not blindly increase the intensity of these incentives and need to consider the influence of the subsidies of these laboratories’ upfront inputs, the degree of sharing and their informatization capabilities.

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Blockchain-based security-minded information-sharing in precast construction supply chain management with scalability, efficiency and privacy improvements

Ding,

Hu,

et al. 2024

Automation in Construction

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Blockchain Adoption among Multi-Stakeholders under Government Subsidy: From the Technology Diffusion Perspective

Cited by 16 publications

References 33 publications

Exploring blockchain technology acceptance among non-managerial construction practitioners in Shenzhen, China

Exploring blockchain technology acceptance among non-managerial construction practitioners in Shenzhen, China

Incentive Mechanisms of an Experimental Resource-Sharing Platform Considering Reputation Effects for Megaprojects

Blockchain-based security-minded information-sharing in precast construction supply chain management with scalability, efficiency and privacy improvements

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