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Artificial Intelligence Adoption in Small and Medium Enterprises: A Systematic Literature Review under the Lens of Absorptive Capacity Framework

    Research output: Contribution to conferenceAbstractpeer-review

    Abstract

    This study examines the capabilities of small and medium-sized organisations (SMEs) to adopt artificial intelligence (AI) by analysing the existing literature and prominent related themes. The research classifies thirty peer-reviewed papers from reputable databases including Scopus, Web of Science, and Taylor & Francis. We employed the thematic analysis which revealed eight themes associated with SMEs' capabilities and AI adoption, namely digitalisation, technology, manufacturing, innovation, management, knowledge, decision-making, and system, utilising the four dimensions of ACAP's framework. The dimensions of acquisition and assimilation pertaining to the potential of absorptive capacity (PACAP), which includes SMEs' ability to obtain new knowledge from external sources, and realised absorptive capacity (RACAP), which encompasses companies' ability to integrate new knowledge into their daily operations.
    Original languageEnglish
    Pages1219-1219
    Number of pages1
    Publication statusPublished - Dec 2024
    Event37th ANZAM Conference: Celebrating management research, its impact & future - University of Wollongong, Wollongong, Australia
    Duration: 3 Dec 20245 Dec 2024
    Conference number: 37th
    https://anzamconference.org/

    Conference

    Conference37th ANZAM Conference
    Abbreviated titleANZAM
    Country/TerritoryAustralia
    CityWollongong
    Period3/12/245/12/24
    Internet address

    Bibliographical note

    Paper presentation Wednesday 4th December 2024

    Keywords

    • Artificial intelligence (AI)
    • Small and medium enterprises (SME)
    • Systematic literature review
    • Absorptive capacity

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