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Perceptions of South African Accountants on Factors with a Role in the Adoption of Artificial Intelligence in Financial Reporting

Author

Listed:
  • Tankiso Moloi

    (Department of Accountancy, University of Johannesburg, P.O. Box 524, Auckland Park 2006, South Africa)

  • Hassan Obeid

    (Department of Economics, Paris School of Business, 75013 Paris, France)

Abstract

Purpose —The objective of this study was to conduct a detailed South African study that sought to explore and analyse the views of South African accountants regarding the factors that affect the adoption of AI in financial reporting. In other words, this study aimed to understand what accountants in South Africa think about the use of AI in their field, especially concerning its integration into financial reporting practices. Three main theories underpinned the study, namely, the diffusion of innovation, technology, organisation, and environment framework, and the institutional theory. In essence, the study sought to determine the perception of South Africa’s accountants on these factors. Design/methodology/approach —This study adopted the quantitative research method and descriptive design. In this regard, positivism as a philosophy was preferred. An online survey was developed to collect information from the participants. Participants were recruited based on their affiliation with the four IFAC-recognised accounting bodies in South Africa: SAICA, SAIPA, CIMA, and ACCA. Findings —Th study found that, overall, South African accountants believe that organisational, technological, and environmental factors play a role in adopting artificial intelligence in financial reporting. Originality/value: This study contributes by enriching the understanding of South African accountants’ perceptions of the adoption of artificial intelligence in financial reporting through the lenses of the selected theories.

Suggested Citation

  • Tankiso Moloi & Hassan Obeid, 2024. "Perceptions of South African Accountants on Factors with a Role in the Adoption of Artificial Intelligence in Financial Reporting," JRFM, MDPI, vol. 17(9), pages 1-17, September.
    • Handle: RePEc:gam:jjrfmx:v:17:y:2024:i:9:p:389-:d:1469906
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    References listed on IDEAS

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    1. Jannie Rossouw & James Styan, 2019. "Steinhoff collapse: a failure of corporate governance," International Review of Applied Economics, Taylor & Francis Journals, vol. 33(1), pages 163-170, January.
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