
Technological Forecasting and Social Change, Год журнала: 2024, Номер 209, С. 123838 - 123838
Опубликована: Окт. 25, 2024
Язык: Английский
Technological Forecasting and Social Change, Год журнала: 2024, Номер 209, С. 123838 - 123838
Опубликована: Окт. 25, 2024
Язык: Английский
Electronics, Год журнала: 2025, Номер 14(6), С. 1107 - 1107
Опубликована: Март 11, 2025
This study examines the key drivers behind adoption of artificial intelligence (AI) in accounting profession, emphasizing influence AI-related knowledge, personality traits, and professional roles. By applying Decision Tree Regression analysis to survey data from professionals, our research identifies AI knowledge as strongest determinant adoption, underscoring importance expertise technology acceptance. While traits play a secondary role, extraversion openness emerge significant factors influencing intentions. The further explores applications financial auditing, tax compliance, fraud detection, clarifying specific domains impacted by integration. These findings offer valuable guidance for policymakers, educators, business leaders aiming equip workforce with necessary skills mindset navigate AI-driven transformation profession.
Язык: Английский
Процитировано
0Technological Forecasting and Social Change, Год журнала: 2024, Номер 209, С. 123838 - 123838
Опубликована: Окт. 25, 2024
Язык: Английский
Процитировано
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