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Developing a theoretical framework for intelligent contract acceptance

delete2020-03-16
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A
Alan J. McNamara *
S
Samad M. E. Sepasgozar
DOI:10.1108/CI-07-2019-0061delete
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摘要

摘要

En 中文
Purpose This paper aims to develop a novel theoretical technology acceptance model, namely, for predicting acceptance of the trending technology of intelligent contracts (iContracts) in construction, which aims to integrate the data from emerging cyber-physical systems being introduced to the sector through the industry 4.0 revolution. This model includes main dimensions and critical contributing factors to assess the readiness for the iContract concept within the construction contract environment. Design/methodology/approach Through an extensive literature review, the structure of a unique theoretical technology acceptance model for iContract implementation, within construction, was developed iContract acceptance model (iCAM). Relevant themes were assessed through the lens of the technology acceptance model framework and the four accepted dimensions of the technology readiness index (TRI) concept. The main components of the model were examined with selected practitioners, with relevant experience and understanding of the iContract concept, with thematic mapping of the discussions correlated back to 12 specific iContract contributing constructs of the four adapted TRI dimensions. Findings The paper contributes to the body of knowledge by proposing a novel iCAM for a trending technology based on the specific requirements of iContract adoption. The interviews show that while the desire to digitalise the contractual environment exists, the readiness of the sector for such a disruptive change is unknown. Originality/value This study offers a unique and theoretical framework, in an embryonic field, for predicting the success of iContract implementation within construction organisations through the digital, industry 4.0 and revolution.
Keyword:
Automation
TAM
Construction
Readiness
Digitalisation
Intelligent contract
Blockchain
TRI
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期刊

C
Construction Innovation
IF:
3.5
论文数:
432
被引数:
2.1K

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