From Input to Insight: How AI Automations Are Transforming Managerial Accounting

References

[1] 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.

[2] Granlund, M., & Malmi, T. (2002). Moderate impact of ERPs on management accounting: a lag or permanent outcome? Management Accounting Research, 13(3), 299–321.

[3] Kokina, J., & Davenport, T. H. (2017). The emergence of artificial intelligence: How automation is changing auditing. Journal of Emerging Technologies in Accounting, 14(1), 115–122.

[4] Lepri, B., Oliver, N., Letouzé, E., Pentland, A., & Vinck, P. (2018). Fair, transparent, and accountable algorithmic decision-making processes. Philosophy & Technology, 31(4), 611–627.

[5] Li, F. (2010). The information content of forward-looking statements in corporate filings—A naïve Bayesian machine learning approach. Journal of Accounting Research, 48(5), 1049–1102.

[6] Power, M., & Gendron, Y. (2015). Qualitative research in auditing: A methodological roadmap. Auditing: A Journal of Practice & Theory, 34(2), 147–165.

[7] Schatsky, D., Muraskin, C., & Gurumurthy, R. (2015). Cognitive technologies: The real opportunities for business. Deloitte University Press.

[8] 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, 60–73.

[9] Warren, J. D., Moffitt, K. C., & Byrnes, P. (2015). How big data will change accounting. Accounting Horizons, 29(2), 397–407.

@article{1708944,
      author = {Lilian Cunha},
      title = {From Input to Insight: How AI Automations Are Transforming Managerial Accounting},
      journal = {Iconic Research And Engineering Journals},
      year = {2021},
      volume = {4},
      number = {7},
      pages = {314-318},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1708944.pdf},
      abstract = {The integration of artificial intelligence (AI) and automation into managerial accounting is fundamentally reshaping the field, moving it from traditional data input and reporting towards delivering real-time strategic insights. This evolution enhances the accuracy, speed, and depth of financial and operational analysis by automating repetitive tasks and leveraging advanced analytics such as machine learning and natural language processing. As organizations operate in increasingly volatile and complex environments, AI-driven tools empower management accountants to become proactive business partners who support agile decision-making and strategic planning. However, challenges related to algorithmic transparency, data governance, ethical considerations, and the need for new skills must be addressed to fully realize the potential of AI in accounting. This article explores the transformative impact of AI automation on managerial accounting processes, roles, and organizational outcomes.},
      keywords = {Artificial intelligence, managerial accounting, automation, real-time insights, decision-making.},
      month = {January},
  }