Emerging Technologies Used in the Accounting Industry: Evidence from Sefwi Wiawso Municipality, Ghana

Authors

Ebenezer Assoah

School of Graduate Studies, Christian Service University (Ghana)

Isaac Armah

School of Graduate Studies, Valley View University (Ghana)

Dennis Boateng Adofo

School of Graduate Studies, Kwame Nkrumah University of Science and Technology, Kumasi (Ghana)

Article Information

DOI: 10.47772/IJRISS.2026.10100580

Subject Category: Accounting

Volume/Issue: 10/1 | Page No: 7487-7497

Publication Timeline

Submitted: 2026-02-01

Accepted: 2026-02-07

Published: 2026-02-18

Abstract

This study investigates the adoption and use of emerging technologies within the accounting industry, drawing empirical evidence from the Sefwi Wiawso Municipality in the Western North Region of Ghana. The primary objective of the study was to assess the extent to which accounting professionals and business managers have embraced selected emerging technologies and to identify the dominant technologies influencing contemporary accounting practices within the municipality. A quantitative research design was employed to ensure objectivity and allow for statistical generalization of findings. Primary data were collected through structured questionnaires administered to a sample of 154 respondents, comprising professional accountants and business managers operating in both the public and private sectors. The questionnaires were designed to capture respondents’ awareness, usage levels, and perceptions regarding the adoption of emerging technologies in accounting. Descriptive statistical tools, including frequencies, percentages, means, and standard deviations, were used to analyse the data and determine the extent of adoption of the selected technologies.
The findings indicate that Artificial Intelligence (AI) is the most dominant and widely adopted emerging technology within the accounting industry in Sefwi Wiawso. AI applications are primarily used in areas such as automated data processing, error detection, and decision-support systems. This is followed by Big Data analytics, which is increasingly utilized to enhance financial analysis, forecasting, and strategic decision-making. Cloud Accounting also shows a moderate level of adoption, largely due to its benefits in terms of accessibility, cost efficiency, and real-time financial reporting. Robotic Process Automation (RPA), however, records the lowest level of adoption, suggesting limited awareness, high implementation costs, and inadequate technical expertise as possible barriers.
Overall, the study concludes that the accounting industry in Sefwi Wiawso Municipality is gradually transitioning toward technology-driven practices. However, the adoption of emerging technologies is uneven, with significant disparities across different technological tools. These variations are influenced by factors such as organizational size, availability of infrastructure, technical skills, and financial capacity.
Based on these findings, the study recommends targeted capacity-building programmes, including continuous professional training and digital skills development for accounting professionals. It also advocates for increased investment in technological infrastructure and supportive policy frameworks by government and regulatory bodies to facilitate the effective integration of emerging technologies. Such measures would enhance efficiency, accuracy, and competitiveness within the accounting industry, ultimately contributing to improved financial management and economic development in the region.

Keywords

emerging technologies, accounting industry, artificial intelligence, automation.

Downloads

References

1. Agevall, L., Broström, A., & Karlsson, J. (2018). Digital transformation and organizational change. Journal of Organizational Change Research. [Google Scholar] [Crossref]

2. Ahmad, M., et al. (2024). Applications of artificial intelligence in accounting practice. Journal of Accounting and Emerging Technologies. [Google Scholar] [Crossref]

3. Alawadhi, S., & Alrefai, R. (2024). Automated accounting technologies and professional practice. International Journal of Accounting Information Systems. [Google Scholar] [Crossref]

4. Anomah, S., et al. (2024). Digital infrastructure and SME accounting practices in Ghana. African Journal of Accounting and Finance. [Google Scholar] [Crossref]

5. Appelbaum, D., Kogan, A., Vasarhelyi, M. A., & Yan, Z. (2017). Impact of business analytics and enterprise systems on managerial accounting. International Journal of Accounting Information Systems, 25, 29–44. https://doi.org/10.2308/isys-51804 [Google Scholar] [Crossref]

6. Barreto, L., et al. (2025). Big data analytics and strategic decision-making. Journal of Management Accounting Research. [Google Scholar] [Crossref]

7. Belur, J., et al. (2021). Reliability and validity in quantitative research. Qualitative Research in Organizations and Management. [Google Scholar] [Crossref]

8. Bühler, J. (2020). Technology Acceptance Model in accounting technology adoption. Journal of Accounting Technology. [Google Scholar] [Crossref]

9. Coman, A., et al. (2022). Cloud accounting systems and organizational efficiency. International Journal of Accounting Information Systems. [Google Scholar] [Crossref]

10. Cortes, J., et al. (2010). Assessing normality in social science research. Journal of Social Science Methodology. [Google Scholar] [Crossref]

11. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008 [Google Scholar] [Crossref]

12. Garanina, T., et al. (2025). Artificial intelligence and audit quality. Journal of Auditing Practice and Theory. [Google Scholar] [Crossref]

13. Göktürk, I., et al. (2024). Automation technologies in accounting firms. Accounting and Business Research. [Google Scholar] [Crossref]

14. Igou, A., et al. (2023). Cloud accounting adoption trends. Journal of Accounting Technology. [Google Scholar] [Crossref]

15. Jackson, D., et al. (2023). Developing accountants for the future: Technology-driven skills. Accounting Education: An International Journal. [Google Scholar] [Crossref]

16. Janvrin, D. J., & Watson, M. W. (2017). Big data: A new twist to accounting. Journal of Accounting Education, 38, 3–8. https://doi.org/10.2308/isys-51703 [Google Scholar] [Crossref]

17. Jędrzejka, D. (2019). Robotic process automation in accounting. Foundations of Management. [Google Scholar] [Crossref]

18. Kokina, J., et al. (2021). Emerging technologies in accounting and auditing. Journal of Emerging Technologies in Accounting. [Google Scholar] [Crossref]

19. Liu, Q., et al. (2021). Cloud-based accounting systems adoption. Journal of Accounting Information Systems. [Google Scholar] [Crossref]

20. Mancini, D., et al. (2021). Smart technologies and ERP systems in accounting. Journal of Accounting and Organizational Change. [Google Scholar] [Crossref]

21. Mediaty, F. (2024). AI-driven financial analysis and predictive modelling. Journal of Financial Analytics. [Google Scholar] [Crossref]

22. Moll, J., & Yigitbasioglu, O. (2019). The role of emerging technologies in accounting. Accounting, Auditing & Accountability Journal. [Google Scholar] [Crossref]

23. Qasim, A., et al. (2023). Artificial intelligence in automated accounting systems. Journal of Intelligent Accounting Systems. [Google Scholar] [Crossref]

24. Shamsudin, A., et al. (2025). Robotic process automation and accounting efficiency. International Journal of Accounting and Information Management. [Google Scholar] [Crossref]

25. Sun, T., et al. (2017). Changing roles of accountants in the digital era. Journal of Accounting in Emerging Economies. [Google Scholar] [Crossref]

26. Sutton, S., et al. (2016). Challenges of technology adoption in accounting. Journal of Accounting Information Systems. [Google Scholar] [Crossref]

27. Vasarhelyi, M. A., et al. (2023). Artificial intelligence in accounting and auditing. Journal of Emerging Technologies in Accounting. [Google Scholar] [Crossref]

28. Vitali, E., & Giuliani, M. (2024). Cloud accounting in auditing firms: Opportunities and challenges. Managerial Auditing Journal. [Google Scholar] [Crossref]

29. Wang, Y., et al. (2017). Digital accounting systems and financial reporting quality. Journal of Accounting Information Systems. [Google Scholar] [Crossref]

30. Yoshikuni, A., et al. (2023). Accounting automation and AI adoption. Journal of Management Accounting Research. [Google Scholar] [Crossref]

31. Zotorvie, J., et al. (2025). Digital skills gaps in Ghanaian accounting practice. African Journal of Accounting Research. [Google Scholar] [Crossref]

Metrics

Views & Downloads

Similar Articles