Technological, organisational and environmental determinants of smart contracts adoption: UK construction sector viewpoint
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 inde pendent variables and o...
محفوظ في:
| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , , |
| منشور في: |
2020
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| الوصول للمادة أونلاين: | https://bspace.buid.ac.ae/handle/1234/3520 |
| الوسوم: |
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| _version_ | 1862980610192048128 |
|---|---|
| author | Badi, Sulafa |
| author2 | Ochieng, Edward Nasaj, Mohamed Papadaki, Maria |
| author2_role | author author author |
| author_facet | Badi, Sulafa Ochieng, Edward Nasaj, Mohamed Papadaki, Maria |
| author_role | author |
| dc.creator.none.fl_str_mv | Badi, Sulafa Ochieng, Edward Nasaj, Mohamed Papadaki, Maria |
| dc.date.none.fl_str_mv | 2020-09-22 2026-01-22T07:54:14Z |
| dc.identifier.none.fl_str_mv | https://bspace.buid.ac.ae/handle/1234/3520 |
| dc.language.none.fl_str_mv | en_US |
| dc.title.none.fl_str_mv | Technological, organisational and environmental determinants of smart contracts adoption: UK construction sector viewpoint |
| dc.type.none.fl_str_mv | Article |
| description | 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 inde pendent 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 influ ence on the adoption of smart contracts: supply chain pressure, competitive pressure, top man agement support, and observability. The descriptive statistics obtained also offer a greater understanding of the perceptions and attitudes towards smart contracts across the UK construc tion 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. |
| id | budr_238db38306e4091cf1f120aa417bddd1 |
| language_invalid_str_mv | en_US |
| network_acronym_str | budr |
| network_name_str | The British University in Dubai repository |
| oai_identifier_str | oai:bspace.buid.ac.ae:1234/3520 |
| publishDate | 2020 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Technological, organisational and environmental determinants of smart contracts adoption: UK construction sector viewpointBadi, SulafaOchieng, EdwardNasaj, MohamedPapadaki, MariaThis 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 inde pendent 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 influ ence on the adoption of smart contracts: supply chain pressure, competitive pressure, top man agement support, and observability. The descriptive statistics obtained also offer a greater understanding of the perceptions and attitudes towards smart contracts across the UK construc tion 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.2026-01-22T07:54:14Z2020-09-22Articlehttps://bspace.buid.ac.ae/handle/1234/3520en_USoai:bspace.buid.ac.ae:1234/35202026-01-29T14:27:55Z |
| spellingShingle | Technological, organisational and environmental determinants of smart contracts adoption: UK construction sector viewpoint Badi, Sulafa |
| title | Technological, organisational and environmental determinants of smart contracts adoption: UK construction sector viewpoint |
| title_full | Technological, organisational and environmental determinants of smart contracts adoption: UK construction sector viewpoint |
| title_fullStr | Technological, organisational and environmental determinants of smart contracts adoption: UK construction sector viewpoint |
| title_full_unstemmed | Technological, organisational and environmental determinants of smart contracts adoption: UK construction sector viewpoint |
| title_short | Technological, organisational and environmental determinants of smart contracts adoption: UK construction sector viewpoint |
| title_sort | Technological, organisational and environmental determinants of smart contracts adoption: UK construction sector viewpoint |
| url | https://bspace.buid.ac.ae/handle/1234/3520 |