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Investigating the determents of intelligent construction contract adoption: a refinement of the technology readiness index to inform an integrated technology acceptance model

Alan J. McNamara, Sara Shirowzhan, Samad M. E. Sepasgozar

2022Construction Innovation18 citationsDOIOpen Access PDF

Abstract

Purpose This paper aims to identify the relevant contributing constructs of readiness for the implementation of intelligent contracts (iContracts) in the construction industry. This study investigates the relationship between the personality dimensions of technology readiness index (TRI) and the system specific factors of technology acceptance model (TAM) within the context of iContracts. Design/methodology/approach Drawing insights from the extant literature and the author's previous qualitative investigations into iContract readiness constructs, a quantitative approach is used to operationalise the constructs by offering relevant statements to be measured and validated through a multiple-item scale against the users intent to accept the future iContract technology. Findings This study confirms and validates the relationship of the proposed iContract readiness index (iCRI) statements against the established TAM factors by offering 18 new constructs influencing technology readiness of the iContract technology. This study proves 9 of the 12 hypotheses highlighting key factors to be addressed for the successful development of the iContract technology. Practical implications This paper contributes to the body of knowledge by proposing a novel iCRI that informs an iContract technology readiness acceptance model (iCTRAM) for a trending technology. The iCTRAM can guide developers in producing an appropriate iContract solution and assess the readiness of users and organisations for the successful adoption of the iContract concept. Originality/value This study offers a unique theoretical framework, in an embryonic field, for predicting the success of iContract implementation within construction organisations. This study combines the established studies of TRI and TAM in producing a predictive iContract readiness assessment tool.

Topics & Concepts

Knowledge managementTechnology acceptance modelOriginalityExtant taxonContext (archaeology)Computer scienceScale (ratio)Field (mathematics)Index (typography)Value (mathematics)Process managementBusinessUsabilityQualitative researchSociologyWorld Wide WebHuman–computer interactionEvolutionary biologyMathematicsPhysicsQuantum mechanicsMachine learningPure mathematicsBiologySocial sciencePaleontologyTechnology Assessment and ManagementTechnology Adoption and User BehaviourBig Data and Business Intelligence
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