The Impact of artificial intelligence on management accounting practices: a case study of Crown bank

Abstract

The integration of fourth industrial revolution technologies has basically transformedcorporate finance functions world-wide. The research analysed the impact of artificial intelligence on management accounting practices, specifically evaluating operationalperformance and user acceptance within a commercial banking environment. The studywas theoretically established in Davis’s (1989) Technology Acceptance Model (TAM),focusing on the core constructs of PU and PEOU. Making use of quantitative research,the empirical data was gathered through questionnaires distributed to a sample of internal auditors, IT, finance and management professionals. The reliability of the assessment instrument was statistically validated, returning a reliable overall Cronbach’s alpha coefficient of 0.822. The findings of the study showed a high viewpoint of AI strategic utility, with respondents agreeing that technology maximizes macro level organizational decision making, financial accuracy and operational efficiency. Regarding system convenience, the respondents rated interface clarityhighly, though a definite technical skill gap developed regarding operational mastery.The accuracy of monthly budgeting yielded the lowest rating and the highest volatility in the data set, thereby exposing limitations under volatile macroeconomic conditions.The study judges that while perceive usefulness serves as the primary driver for AIadoption in the banking sector, perceived ease of use remains an operational blockage that requires continuous training. Additionally, system automation cannot entirely replace human oversight in short term forecasting. The study recommend implementing data literacy upgrading programs alongside a “human in the loop”budgeting framework to increase reliability and maintain financial control.