Swinburne
Browse

AI in small businesses: Current and potential applications and issues for adoption

Download (654.73 kB)
chapter
posted on 2025-05-29, 03:22 authored by Misita AnwarMisita Anwar, Axel KorthausAxel Korthaus, Scott Bingley, Stephen Burgess
Artificial intelligence (AI) represents a new area in digital technologies and is already changing the operations of businesses. Small businesses generally make up 99% of businesses and employ around half of the workforce in western countries, so it is important to examine the impact of AI on them. Despite this, AI adoption in small businesses remains under-researched. This chapter provides a high-level exploration of the adoption, and challenges associated with the use of AI by small businesses through a scoping review of the literature across relevant social sectors. The chapter highlights the effect of the COVID pandemic and considers whether this will lead to broader AI adoption. Barriers such as resource limitations, cybersecurity, and knowledge gaps are discussed. The chapter concludes with strategies to support AI adoption, emphasizing tailored tools and improved training to overcome these barriers, thereby enhancing operational efficiency and innovation in small businesses.

History

Available versions

Accepted manuscript

ISBN

9798369395882

Parent title

Cutting-Edge Technologies for Business Sectors

Pagination

29-56

Publisher

IGI Global

Copyright statement

Copyright © 2025 the authors. This is the author's final peer-reviewed accepted manuscript version, hosted under the terms and conditions of the Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license. See http://creativecommons.org/licenses/by-nc/4.0/

Usage metrics

    Publications

    Categories

    No categories selected

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC