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    Understanding AI adoption in manufacturing and production firms using an integrated TAM-TOE model

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    Publication date
    2021-09
    Author
    Chatterjee, S.
    Rana, Nripendra P.
    Dwivedi, Y.K.
    Baabdullah, A.M.
    Keyword
    Artificial Intelligence
    Industry 4.0
    Manufacturing and production firms
    TOE framework
    TAM
    Leadership support
    Rights
    © 2021 Elsevier. Reproduced in accordance with the publisher's self-archiving policy. This manuscript version is made available under the CC-BY-NC-ND 4.0 license (https://creativecommons.org/licenses/by-nc-nd/4.0/)
    Peer-Reviewed
    Yes
    Open Access status
    openAccess
    
    Metadata
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    Abstract
    This study aims to identify how environmental, technological, and social factors influence the adoption of Industry 4.0 in the context of digital manufacturing. The Industry 4.0 era has brought a breakthrough in advanced technologies in fields such as nanotechnology, quantum computing, biotechnology, artificial intelligence, robotics, the Internet of Things, fifth-generation wireless technology, fully autonomous vehicles, 3D printing and so on. In this study, we attempted to identify the socioenvironmental and technological factors that influence the adoption of artificial intelligence embedded technology by digital manufacturing and production organizations. In doing so, the extended technology-organization-environment (TOE) framework is used to explore the applicability of Industry 4.0. A conceptual model was proposed that used an integrated technology acceptance model (TAM)-TOE model and was tested using survey-based data collected from 340 employees of small, medium and large organizations. The results highlight that all the relationships, except organizational readiness, organizational compatibility and partner support on perceived ease of use, were found to be significant in the context of digital manufacturing and production organizations. The results further indicated that leadership support acts as a countable factor to moderate such an adoption.
    URI
    http://hdl.handle.net/10454/18484
    Version
    Accepted manuscript
    Citation
    Chatterjee S, Rana NP, Dwivedi YK et al (2021) Understanding AI adoption in manufacturing and production firms using an integrated TAM-TOE model. Technological Forecasting and Social Change. 170: 120880.
    Link to publisher’s version
    https://doi.org/10.1016/j.techfore.2021.120880
    Type
    Article
    Collections
    Management and Law Publications

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