This research aims to determine the factors affecting the attitudes and behaviors of accounting professionals towards artificial intelligence applications within the framework of the Technology Acceptance Model and to reveal their perceptions regarding their acceptance of artificial intelligence technologies. As a result of the Structural Equation Modeling analysis of the data obtained from 485 accounting professionals, it was determined that technological innovation has a statistically significant and positive effect on perceived ease of use; and perceived ease of use has a statistically significant and positive effect on perceived usefulness. Findings showing that perceived ease of use does not have a statistically significant effect on attitude towards use also show that perceived usefulness and compatibility have statistically significant and positive effects on perceived ease of use. Other findings of the study show that artificial intelligence anxiety has a statistically significant and negative effect on attitude towards use, and attitude towards use has a statistically significant and positive effect on behavioral intention.
Accountants Artificial Intelligence Artificial Intelligence Applications Structural Equation Modeling
Bu araştırma muhasebe meslek mensuplarının yapay zekâ uygulamalarına yönelik tutum ve davranışlarını etkileyen faktörlerin Teknoloji Kabul Modeli çerçevesinde belirlenerek yapay zekâ teknolojilerini kabullerine yönelik algılarının ortaya konmasını amaçlamaktadır. 485 muhasebe meslek mensubundan anket yoluyla toplanan verilerin Yapısal Eşitlik Modellemesi analizi sonucunda teknolojik yenilikçiliğin algılanan kullanım kolaylığı üzerinde; algılanan kullanım kolaylığının algılanan kullanışlılık üzerinde istatistiki olarak anlamlı ve pozitif yönde bir etkisinin olduğu tespit edilmiştir. Algılanan kullanım kolaylığının, kullanıma yönelik tutum üzerinde istatistiki olarak anlamlı bir etkisinin olmadığını gösteren bulgular aynı zamanda algılanan kullanım kolaylığı üzerinde algılanan kullanışlılığın ve uygunluğun istatistiki olarak anlamlı ve pozitif yönde etkilerinin olduğunu göstermektedir. Çalışmanın diğer bulguları yapay zekâ kaygısının kullanıma yönelik tutum üzerinde istatistiki olarak anlamlı ve negatif yönde, davranışsal niyet üzerinde ise kullanıma yönelik tutumun istatistiki olarak anlamlı ve pozitif yönde etkisini göstermektedir.
Primary Language | Turkish |
---|---|
Subjects | Business Administration |
Journal Section | MAIN SECTION |
Authors | |
Early Pub Date | June 30, 2025 |
Publication Date | June 30, 2025 |
Submission Date | October 16, 2024 |
Acceptance Date | March 13, 2025 |
Published in Issue | Year 2025 Volume: 27 Issue: 2 |
Authorship
MBDD follows the guidelines in COPE Authorship Guideline to ensure fair recognition of contributions to a research paper (https://publicationethics.org/guidance/discussion-document/authorship ). Authorship carries both credit and responsibility, and it is essential that all listed authors have made significant contributions to the research.
For multi-author studies, the Contributions of Authors must be declared after the conclusion and before the bibliography of the paper. The authors' initials and last names should be used to indicate which author contributed to which part of the manuscript. Details can be found by clicking the “Article Submission Checklist” button. The authors can acknowledge contributions that do not merit authorship.
The author(s) should disclose the use of generative Artificial Intelligence (AI) and AI-assisted tools in design and implementation of the research. Such use need to be disclosed within the methodology section of the manuscript. Use of AI does not preclude the manuscript from publication, rather provides a transparent picture of the research.