International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Disruptive Accounting Technology and Institutional Efficiency of Professional Accounting Institutes in Nigeria

Abstract

There is problem of adoption and adapting to disruptive technologies key drivers. This failure of adoption and adapting to disruptive technologies key drivers could have created the problem of institutional inefficiency among accounting practitioners and accounting professional institutes in Nigeria. Accounting professional institutes in Nigeria may not achieve efficiency in accounting service delivery as most accounting professional institutes do not have in-depth knowledge of disruptive technologies, because it is a new development in the global community. Therefore, this study evaluates the effect of disruptive accounting technology on institutional efficiency of professional accounting institutes in Nigeria. The study employed a primary data distributed among the professional members of Institute of Chartered Accountant of Nigeria and the Association of National Accountants of Nigeria. Artificial Intelligence (AI), Robotic Technology (RT), Cloud Accounting (CA), Blockchain Technology (BCT), and QuickBook Technology (QBT) were used as proxies for disruptive accounting technology and it is represented as the independent variable while institutional efficiency is used as the dependent variable. Structural equation modelling was adopted for data analysis. The paper establishes that AI, CA, and QBT have a significant effect on institutional efficiency at P < 0.05 (5% significance level). The paper, therefore, recommends that accounting institute must be a force for change. The disrupt, innovate, and energize worried that the pull of the past would prevent accountants from chaining to meet the future.

Country : Nigeria

1 Ahannaya. Chinedu Gandolph PhD.2 Johnson. Adebayo Akanbi M.Sc.3 Daniel-Adebayo. Olugbenga Ph.D4 Sanni. Adeyemi Sheriff Ph.D.

  1. Department of Accounting, Babcock University, Ilishan-Remo, Nigeria
  2. Department of Accounting, Adeleke University, Ede, Osun State, Nigeria
  3. Department of Accounting, Babcock University, Ilishan-Remo, Nigeria
  4. Department of Accounting, Babcock University, Ilishan-Remo, Nigeria

IRJIET, Volume 7, Issue 7, July 2023 pp. 30-37

doi.org/10.47001/IRJIET/2023.707004

Full Paper
Download

References

  1. Ahannaya, C.G., Oshinowo, A.D., Sanni, A.S., Arogundade, J.A., & Ogunwole, O.J. (2021). The effect of crypto currencies on Nigerian economy. International European Extended Enablement in Science, Engineering & Management (IEEESEM) 2(2), 8-14.
  2. Asikhia, O. U., & Binuyo, O. (2012). Competitive intensity as a moderator in customer orientation – performance relationship in Nigeria. International Journal of Economics and Management Sciences, 2(3), 18-24.
  3. Asikhia, O. A., Magaji, N., & Muritala, A. S. (2019). Technological Intelligence and organisational Performance: Moderating role of process innovation. Open Journal of Economics and Commerce, 2(1), 25-31.
  4. Bartuševičienė, I., Romerio, M., & Šakalytė, E. (2013). Organizational assessment: effectiveness vs. efficiency. Social transformations in contemporary society, 1, 45-53.
  5. Bhavsar, K., Shah, V., & Gopalan, S. (2019). Business process reengineering: A scope of automation in software project management using artificial intelligence. International Journal of Engineering and Advanced Technology, 9(2), 3589-3584.
  6. Burnes, B. (2004). Managing change. Pearson: Harlow.
  7. Chen, T., Chuang, T., & Nakatani, K. (2016). The perceived business benefit of cloud computing: An exploratory study. Journal of International Technology and Information Management, 25(4), 101-129.
  8. Daft, R. (2003). Management. South-Western, Mason.
  9. Daft, R. (2002). Organization theory and design. South-Western College, Cincinnati.
  10. Dimitriu, O., & Matei, M. (2014a). A new paradigm for accounting through cloud computing. Procedia Economics and Finance, 15, 840 – 846.
  11. Dimitriu, O., & Matei, M. (2015a). Cloud accounting: A new business model in a challenging context. Procedia Economics and Finance 32, 665 – 671.
  12. Dominic, B. C., & Wilhelmina, S. (2012). An analysis of impact of disruptive technology on the success of SMEs in a developing nation. A case of King Williams Town, South Africa. Journal of Business Management, 6, 50-60.
  13. Ismail, N.A., & King, M. (2014). Factors influencing the alignment of accounting information systems in small and medium sized Malaysian manufacturing firms. Journal of Information Systems and Small Business, 1(2), 1-20.
  14. Kumar S., Gulati R., (2010). Measuring efficiency, effectiveness and performance of Indian public sector banks. International Journal of Productivity and Performance Management, 59(1), 51 – 74.
  15. Machera, R.P., & Machera, P.C. (2017). Computerised accounting software; A curriculum that enhances an accounting programme. Universal Journal of Educational Research 5(3), 372-385.
  16. Mihaiu, D.M., Opreana, A., & Chrstescu, M.P. (2010). Efficiency, effectiveness and performance of the public sector. Romanian Journal of Economic Forecasting, 4, 132-148.
  17. Modi, P.M. (2018). Cloud accounting - It’s benefits and challenges. International Journal of Trend in Scientific Research and Development, 2(2), 1091-1095.
  18. Odhong, E. A., & Were, S. (2013). Human capital management as a tool for value creation.  Proceedings of First SHRD Annual Research Conference, 12th and 13th September, Nairobi, Jomo Kenyatta University of Agriculture and Technology main campus.
  19. Pinprayong, B., & Siengtai, S. (2012). Restructuring for organizational efficiency in the banking sector in Thailand: A case study of Siam commercial bank. Far East Journal of Psychology and Business, 8(2), 29-42.
  20. Popenici, S.A.D., & Kerr, S. (2017). Exploring the impact of artificial intelligence on teaching and learning in higher education. Research Practical and Technology Enhancement. Learning, 12, 22-38.
  21. Pritchici, C., & Ionescu (2015). Cloud accounting: A new paradigm of accounting policies. Practical Application of Science, 3(7), 489-496.
  22. Rogers. E. M. (1976). Diffusion of innovations (4th ed). New York: Free Press.
  23. Saberi, S., Kouhizadeh, M., & Sarkis, J. (2018). Blockchain technology: a panacea or pariah for resources conservation and recycling? Resources, Conservative Recycling, 130, 80–81.
  24. Strauss, E., Kristandl, G., & Quinn, M. (2015). The effects of cloud technology on management accounting and decision making. Chartered Institute of Management Accountants.
  25. Surry, D., & Farquhar, J. (1997). Diffusion theory and instructional technology. Journal of Instructional Science and Technology, 2(1), 269–278.
  26. Utterbeck, J.M., & Acee, H.J. (2020). Disruptive technologies: An expanded view. International Journal of Innovation Management, 9(1), 1-13.
  27. Vocke, C., Constantinescu, C., & Popescu, D. (2019). Application of potentials of artificial intelligence for the design of innovation processes. Procedia Social and Business, 84, 810–813.
  28. Vojko, P. (2006). Business operations between efficiency and effectiveness. Arnal of information and organizational sciences, 30(2), 251-262.
  29. Yang, H., & Tate, M. (2012). A descriptive literature review and classification of cloud computing research. The Communication of Association for Information Systems, 31(2), 35-60.
  30. Žigiene, G., Rybakovas, E., & Alzbutas, R. (2019). Artificial intelligence based commercial risk management framework for SMEs. Sustainability, 11, 4501-4524.

Copyright @ 2026-2017 IRJIET. All Right Reserved.

Developed by Byzero Technologies