Assessing the potential integration of large language models in accounting practices: evidence from an emerging economy
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...
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| Format: | Article |
| Language: | English |
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SpringerOpen
2024-07-01
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| Series: | Future Business Journal |
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| Online Access: | https://doi.org/10.1186/s43093-024-00368-8 |
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| author | Ahmad A. Toumeh |
| author_facet | Ahmad A. Toumeh |
| author_sort | Ahmad A. Toumeh |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-14c834205d62432b8a4ece30dc94dac3 |
| institution | OA Journals |
| issn | 2314-7202 2314-7210 |
| language | English |
| publishDate | 2024-07-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Future Business Journal |
| spelling | doaj-art-14c834205d62432b8a4ece30dc94dac32025-08-20T02:31:59ZengSpringerOpenFuture Business Journal2314-72022314-72102024-07-0110111510.1186/s43093-024-00368-8Assessing the potential integration of large language models in accounting practices: evidence from an emerging economyAhmad A. Toumeh0Faculty of Business, Al-Zaytoonah University of JordanAbstract 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.https://doi.org/10.1186/s43093-024-00368-8Accounting practicesAccounting professionalsArtificial intelligenceChatGPTJordanLarge language models |
| spellingShingle | Ahmad A. Toumeh Assessing the potential integration of large language models in accounting practices: evidence from an emerging economy Future Business Journal Accounting practices Accounting professionals Artificial intelligence ChatGPT Jordan Large language models |
| title | Assessing the potential integration of large language models in accounting practices: evidence from an emerging economy |
| title_full | Assessing the potential integration of large language models in accounting practices: evidence from an emerging economy |
| title_fullStr | Assessing the potential integration of large language models in accounting practices: evidence from an emerging economy |
| title_full_unstemmed | Assessing the potential integration of large language models in accounting practices: evidence from an emerging economy |
| title_short | Assessing the potential integration of large language models in accounting practices: evidence from an emerging economy |
| title_sort | assessing the potential integration of large language models in accounting practices evidence from an emerging economy |
| topic | Accounting practices Accounting professionals Artificial intelligence ChatGPT Jordan Large language models |
| url | https://doi.org/10.1186/s43093-024-00368-8 |
| work_keys_str_mv | AT ahmadatoumeh assessingthepotentialintegrationoflargelanguagemodelsinaccountingpracticesevidencefromanemergingeconomy |