Assessing the potential integration of large language models in accounting practices: evidence from an emerging economy

Ahmad A. Toumeh ()
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Ahmad A. Toumeh: Al-Zaytoonah University of Jordan

Future Business Journal, 2024, vol. 10, issue 1, 1-15

Abstract: Abstract This research intends to demonstrate the potential integration of large language models (LLMs) in accounting practices in Jordan. It is a mixed methods study that employs semi-structured interviews and content analysis of published financial reports. A total of 13 semi-structured interviews are conducted with various accounting professionals, such as accountant, financial analyst, financial controller, auditor, tax consultant, and finance manager. In addition, the study includes a thorough content analysis of financial reports, which reveals a compelling pattern highlighting the distinct narrative content richness prevalent across financial, industrial, and service sectors. The results emphasize the need for sector-specific adaptation, suggesting a paradigm shift in financial reporting practices. This study represents the initial empirical exploration in Jordan. It serves as a bridge between theory and application, offering both theoretical insights and practical guidance for accounting professionals. Ultimately, the study envisions a future where LLMs significantly enrich financial reporting practices across diverse sectors.

Keywords: Accounting practices; Accounting professionals; Artificial intelligence; ChatGPT; Jordan; Large language models (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1186/s43093-024-00368-8

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