What influences stakeholders' decision in adopting blockchain-based quality tracking systems in prefabricated construction

Xu, Shirong; Zhou, Linfeng; Zou, Patrick X.W.

doi:10.1108/ecam-06-2022-0501

Cited by 10 publications

(3 citation statements)

References 50 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Despite Wu et al . (2023) and Xu et al . (2023a, b) also proposed construction BCT adoption models, they primarily focused on managers, experts, and different stakeholders (such as developer, manufacturer, and contractor).…”

Section: Discussionmentioning

confidence: 97%

“…Professional bodies in the industry should publish relevant guidelines to assist users in BCT environment configuration, use, operations, and maintenance. BCT adoption in the construction industry is hindered by the scarcity of BCT-proficient practitioners (Xu et al ., 2023a). Thus, BCT education should be integrated into daily workflows, allowing practitioners to immediately apply what they learn in their projects.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

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

Liao,

Ye,

Wei

et al. 2024

ECAM

View full text Add to dashboard Cite

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.

show abstract

Section: Discussionmentioning

confidence: 97%

Section: Discussionmentioning

confidence: 99%

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

Liao,

Ye,

Wei

et al. 2024

ECAM

View full text Add to dashboard Cite

show abstract

“…Digital adoption in the infrastructure industry has broad benefits. By adopting digital technologies, tools, and processes in infrastructure projects, infrastructure participants can enhance on-site safety, quality, productivity, error detection, and communication [26,27]. Additionally, they can improve transparency and efficiency, and ensure maximum data security [25].…”

Section: The Needs and Challenges In Digital Adoption In Infrastructu...mentioning

confidence: 99%

What Drives Infrastructure Participants to Adopt Digital Technology: A Nexus of Internal and External Factors

Qiu,

Wang,

Hou

et al. 2023

Sustainability

Self Cite

View full text Add to dashboard Cite

Given the potential of digital technologies in value-adding and decision support in infrastructure projects, the promotion of digital technologies, how factors of government promotion, technological development, and the organization’s technology capability and capacity influence digital technology adoption is necessary but still unclear. This research aims to identify the environmental, technological, and organizational factors, as well as the interactive relationships among them, for infrastructure participants’ intention to adopt digital technologies. The extended Technology Acceptance Model (e-TAM) was used as a theoretical base to develop a hypothesis of the influencing paths of internal and external factors, with perceived usefulness (PU), perceived ease of use (PEU), and perceived image improvement (PII) as critical internal factors, and technological and environmental factors as external factors. The questionnaire survey collected 172 valid responses and structural equation modeling was applied for the hypothesis testing. The model fitting results indicated that intentions of digital adoption are directly influenced by PU as internal factors and environmental factors, while PEU, PII, and technological factors play indirect roles. As the interaction of external and internal factors, environmental factors directly affect PEU, and technological factors significantly correlate with PU. The findings supported most of the hypothesis and contributed to providing guidance for infrastructure participants’ digital adoption practice.

show abstract

Coupled Paths of Influencing Factors on The Diffusion of Prefabricated Construction Technology: A Multi-agent Synergy Perspective

Dou,

Zhu,

Yan

et al. 2024

KSCE J Civ Eng

View full text Add to dashboard Cite

What influences stakeholders' decision in adopting blockchain-based quality tracking systems in prefabricated construction

Cited by 10 publications

References 50 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

What Drives Infrastructure Participants to Adopt Digital Technology: A Nexus of Internal and External Factors

Coupled Paths of Influencing Factors on The Diffusion of Prefabricated Construction Technology: A Multi-agent Synergy Perspective

Contact Info

Product

Resources

About