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

McNamara, A J; Shirowzhan, S and M.E. Sepasgozar, S (2024) Investigating the determents of intelligent construction contract adoption: A refinement of the technology readiness index to inform an integrated technology acceptance model. Construction Innovation, 24(3), pp. 702-724. ISSN 1471-4175

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.

Item Type: Article
Uncontrolled Keywords: automation; construction contracts; digitalisation; intelligent contract; technology acceptance; technology readiness
Index terms: construction organization, personality, readiness assessment, investigation, construction contract, technology acceptance model, dimension, automation, construction industry, implementation, digitalization, drawing, methodology, technology acceptance, body of knowledge
Subjects: industry analysis, behavioral psychology, research methods, automation and robotics, acoustic properties, digital technology, technical documentation, contractual arrangements, knowledge management, innovation and technology management, health monitoring assessment and metrics, risk assessment, data collection methods, organization, contract type
Topics: Digital Applications, Design Practice, Risk Management, Procurement, Health and Safety, Business Strategy, Engineering Principles, Information Management, Research Practice
Descriptive scope: 4 PCTA

N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here