Publication Details
Title:
Adapting to AI:Exploring the Implications of the AI Integration in Shaping the Accounting Profession for Developing Economies an Empirical Situation of Ghana.
Details:
Authors;
Boadu Ayeboafo,Sampson Anomah,Maurice Adumoah.
Abstract
The emergence of AI tools is driving speculations about the ability of the accounting profession to cope with the fast-changing traditional accounting processes and to stay relevant in the profession. The study explored the adaptability of the accounting profession in the era of the rapid advancement and integration of AI technologies in Accountancy as practiced in developing economies with Ghana as the empirical situation. The findings include six viable factors for adaptability for professionals of the future. An extracted model based on the attributes was tested by a survey method to gather data from a diverse sample of accounting professionals and the results were analyzed using the structural equation model. The model fit indices indicate that the Standardized Root Mean Square Residual (SRMR), used as an absolute measure of (model) fit criterion, is less than 0.08 and the Normed Fit Index (NFI) ranges between 0 and 1. The conclusion drawn from the results of the analysis is that the model is a fit representation of the accounting profession’s adaptability in the face of the disruption of AI. This research contributes to the understanding of the adaptability of the accounting profession in developing economies amidst the disruptive forces of AI.
Keywords: Artificial Intelligence (AI), Integration, Accounting Profession, Attributes, Adaptability