Blending results from existing literature reviews on digital technologies in the Economia Aziendale domain

Titolo Rivista MANAGEMENT CONTROL
Autori/Curatori Gaia Bassani, Antonio Gitto, Stefania Servalli
Anno di pubblicazione 2025 Fascicolo 2025/1 Suppl.
Lingua Inglese Numero pagine 27 P. 65-91 Dimensione file 215 KB
DOI 10.3280/MACO2025-001-S1004
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Artificial Intelligence (AI) and digital transformation are currently the most influential forces in business and society. Although numerous studies have examined the impacts of various digital technologies in the field of Economia Aziendale, there is a need to consolidate and integrate these findings from different communities of practice. This paper aims to provide a comprehensive overview by conducting an integrative review of existing literature on digital technologies in Economia Aziendale, using Scopus and Web of Science databases to identify relevant studies. After careful selection, 25 literature reviews were analyzed. The analysis revealed limited connections among existing reviews, typically across different research communities, except within the AIS community. Some reviews cover multiple technologies using broad terminology, while others delve into specific technologies. Findings are organized within a comprehensive framework that delineates the antecedents and effects of digital technologies. Furthermore, the analysis identifies seven promising areas for future research exploration. This review aims to bridge gaps in the field by synthesizing knowledge across different communities, aiding scholars in contributing to broader discussions on digital technologies’ impact. For practitioners, the findings provide valuable insights for navigating the complexities of digital transformation, while policy-makers can use this review to prioritize interventions and allocate resources effectively.

Parole chiave:Digital technologies, Artificial Intelligence, AI, Literature Review, Economia Aziendale

  1. Senave E., Jans M.J., Srivastava R.P. (2023), The application of text mining in accounting, International Journal of Accounting Information Systems, 50, 100624.
  2. Abu Huson Y., Sierra-García L., Garcia-Benau M.A. (2024), A bibliometric review of information technology, artificial intelligence, and blockchain on auditing, Total Quality Management & Business Excellence, 35, pp. 91-113. DOI: 10.1080/14783363.2023.2256260
  3. Agustí M.A., Orta-Pérez M. (2023), Big data and artificial intelligence in the fields of accounting and auditing: a bibliometric analysis, Revista de Contabilidad-Spanish Accounting Review, 52, pp. 412-438. DOI: 10.1080/02102412.2022.2099675
  4. Almufadda G., Almezeini N. A. (2022), Artificial intelligence applications in the auditing profession: A literature review, Journal of Emerging Technologies in Accounting, 19, pp. 29-42. DOI: 10.2308/JETA-2020-083
  5. Belahouaoui R., Attak El H. (2024), Digital taxation, artificial intelligence and tax administration 3.0: improving tax compliance behavior – a systematic literature review using textometry (2016-2023), Accounting Research Journal, 37, pp. 172-191. DOI: 10.1108/ARJ-12-2023-0372
  6. Brown C.E., Baldwin-Morgan A.A., Sangster A. (1995), Expert systems in accounting education - a literature guide, Accounting Education, 4, pp. 283-296. DOI: 10.1080/09639289500000034
  7. Connell N.A.D. (1987), Expert Systems in Accountancy: A Review of Some Recent Applications, Accounting and Business Research, 17, 221-233. DOI: 10.1080/00014788.1987.9729802
  8. De Villiers R. (2021), Seven principles to ensure future-ready accounting graduates – a model for future research and practice, Meditari Accountancy Research, 29, pp. 1354-1380. DOI: 10.1108/MEDAR-04-2020-0867
  9. Eulerich M., Kalinichenko A. (2018), The current state and future directions of continuous auditing research: An analysis of the existing literature, Journal of Information Systems, 32, pp. 31-51.
  10. Fähndrich J. (2023), A literature review on the impact of digitalisation on management control, Journal of Management Control, 34, pp. 9-65.
  11. Fisher I.E., Garnsey M.R., Hughes M.E. (2016), Natural Language Processing in Accounting, Auditing and Finance: A synthesis of the literature with a roadmap for future research, Intelligent Systems in Accounting, Finance and Management, 23, pp. 157-214.
  12. Gray G.L., Chiu V., Liu Q., Li P. (2014), The expert systems life cycle in AIS research: What does it mean for future AIS research? International Journal of Accounting Information Systems, 15, pp. 423-451.
  13. Han H., Shiwakoti R.K., Jarvis R., Mordi C., Botchie D. (2023), Accounting and auditing with blockchain technology and artificial Intelligence: A literature review, International Journal of Accounting Information Systems, 48, 100598.
  14. Kureljusic M., Karger E. (2024), Forecasting in financial accounting with artificial intelligence – A systematic literature review and future research agenda, Journal of Applied Accounting Research, 25, pp. 81-104. DOI: 10.1108/JAAR-06-2022-0146
  15. Lehner O.M., Ittonen K., Silvola H., Ström E., Wührleitner A. (2022), Artificial intelligence based decision-making in accounting and auditing: ethical challenges and normative thinking, Accounting, Auditing and Accountability Journal, 35, pp. 109-135. DOI: 10.1108/AAAJ-09-2020-4934
  16. Lombardi D.R., Sipior J.C., Dannemiller S. (2023), Auditor judgment bias research: A 50-year trend analysis and emerging technology use, Journal of Information Systems, 37, pp. 109-141. DOI: 10.2308/ISYS-2020-079
  17. Losbichler H., Lehner O.M. (2021), Limits of artificial intelligence in controlling and the ways forward: a call for future accounting research, Journal of Applied Accounting Research, 22, pp. 365-382. DOI: 10.1108/JAAR-10-2020-0207
  18. Mancini D., Lombardi R., Tavana M. (2021), Four research pathways for understanding the role of smart technologies in accounting, Meditari Accountancy Research, 29, pp. 1041-1061. DOI: 10.1108/MEDAR-03-2021-1258
  19. Moll J., Yigitbasioglu O. (2019), The role of internet-related technologies in shaping the work of accountants: New directions for accounting research, The British Accounting Review, 51, 100833.
  20. Mugwira T. (2022), Internet related technologies in the auditing profession: A WOS bibliometric review of the past three decades and conceptual structure mapping, Spanish Accounting Review, 25, pp. 201-216.
  21. Nielsen S. (2022), Management accounting and the concepts of exploratory data analysis and unsupervised machine learning: a literature study and future directions, Journal of Accounting & Organizational Change, 18, pp. 811-853. DOI: 10.1108/JAOC-08-2020-0107
  22. Parycek P, Schmid V, Novak A-S (2024), Artificial Intelligence (AI) and Automation in Administrative Procedures: Potentials, Limitations, and Framework Conditions, Journal of the Knowledge Economy, 15, pp. 8390-8415.
  23. Ranta M., Ylinen M., Järvenpää M. (2023), Machine learning in management accounting research: Literature review and pathways for the future, European Accounting Review, 32, pp. 607-636. DOI: 10.1080/09638180.2022.2137221
  24. Sutton S.G., Holt M., Arnold V. (2016), “The reports of my death are greatly exaggerated” – Artificial intelligence research in accounting, International Journal of Accounting Information Systems, 22, pp. 60-73.
  25. Tavares M.C., Azevedo G., Marques R.P., Bastos M.A. (2023), Challenges of education in the accounting profession in the Era 5.0: A systematic review, Cogent Business and Management, 10, 2220198. DOI: 10.1080/23311975.2023.2220198

Gaia Bassani, Antonio Gitto, Stefania Servalli, Blending results from existing literature reviews on digital technologies in the Economia Aziendale domain in "MANAGEMENT CONTROL" 1 Suppl./2025, pp 65-91, DOI: 10.3280/MACO2025-001-S1004