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Technological, organisational and environmental determinants of smart contracts adoption: UK construction sector viewpoint
Construction Management and Economics Pub Date : 2020-09-22 , DOI: 10.1080/01446193.2020.1819549
Sulafa Badi 1 , Edward Ochieng 1 , Mohamed Nasaj 1 , Maria Papadaki 1
Affiliation  

Abstract This study aims to identify the factors that influence the adoption of smart contracts in the UK construction sector. A deductive questionnaire-based approach informed by the technology-organisation-environment (TOE) model is adopted. The framework is comprised of twelve independent variables and one dependent variable of smart contracts use intention. Ten hypotheses are developed to statistically test the causal relationships between the eleven variables of the research model. The study adopts a convenience sampling approach, with the population of interest being primarily drawn from among UK construction practitioners. The results generated from linear regression analysis suggest that the following four factors have a significant influence on the adoption of smart contracts: supply chain pressure, competitive pressure, top management support, and observability. The descriptive statistics obtained also offer a greater understanding of the perceptions and attitudes towards smart contracts across the UK construction sector. The results demonstrate the usefulness of a perception-based model that utilises the TOE framework to assess facets that influence the adoption of smart contracts. The study contributes to innovation diffusion studies in construction project management and supports “early adopters” at the footfall of the technology’s diffusion curve.

中文翻译:

采用智能合约的技术,组织和环境决定因素:英国建筑业观点

摘要这项研究旨在确定影响英国建筑业采用智能合约的因素。采用基于技术-组织-环境(TOE)模型的基于演绎问卷的方法。该框架由十二个自变量和一个智能合约使用意图的因变量组成。建立了十个假设以统计检验研究模型的十一个变量之间的因果关系。该研究采用便利抽样的方法,感兴趣的人群主要来自英国的建筑从业人员。线性回归分析产生的结果表明,以下四个因素对智能合约的采用产生重大影响:供应链压力,竞争压力,最高管理层的支持和可观察性。获得的描述性统计数据还提供了对整个英国建筑行业对智能合约的看法和态度的更深入了解。结果证明了基于感知的模型的实用性,该模型利用TOE框架评估影响智能合约采用的方面。该研究为建设项目管理中的创新扩散研究做出了贡献,并在技术扩散曲线不足的情况下为“早期采用者”提供支持。结果证明了基于感知的模型的实用性,该模型利用TOE框架评估影响采用智能合约的方面。该研究为建设项目管理中的创新扩散研究做出了贡献,并在技术扩散曲线不足的情况下为“早期采用者”提供支持。结果证明了基于感知的模型的实用性,该模型利用TOE框架评估影响采用智能合约的方面。该研究为建设项目管理中的创新扩散研究做出了贡献,并在技术扩散曲线不足的情况下为“早期采用者”提供支持。
更新日期:2020-09-22
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