IDEAS home Printed from https://ideas.repec.org/a/eee/ijoais/v49y2023ics1467089523000118.html
   My bibliography  Save this article

Ethical impact of artificial intelligence in managerial accounting

Author

Listed:
  • Zhang, Chao
  • Zhu, Weidong
  • Dai, Jun
  • Wu, Yong
  • Chen, Xulong

Abstract

Recent advances in technology have accelerated digitalization and intelligence in modern business. Particularly, the increasing use of Artificial Intelligence (AI) in managerial accounting is expected to accurately measure corporate performance, provide intelligent analyses, and predict the future of a company. However, along with the benefits, ethical concerns of using AI also arise, such as deprofessionalization, data breach, and isolation among accountants. This paper explores the ethical impact of AI in managerial accounting at both pre- and post-adoption stages. Based on 47 interviews conducted with companies, an AI system vendor, and regulators, we found that data security, privacy, and misuse; accountability; accessibility; benefits and challenges; and transparency and trust of AI are among the most common ethical risks in the development and use of AI in managerial accounting. Unique ethical impacts on four types of stakeholders: developers, managers in charge of AI adoption, managerial accountants, and regulators, were also discovered.

Suggested Citation

  • Zhang, Chao & Zhu, Weidong & Dai, Jun & Wu, Yong & Chen, Xulong, 2023. "Ethical impact of artificial intelligence in managerial accounting," International Journal of Accounting Information Systems, Elsevier, vol. 49(C).
  • Handle: RePEc:eee:ijoais:v:49:y:2023:i:c:s1467089523000118
    DOI: 10.1016/j.accinf.2023.100619
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1467089523000118
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.accinf.2023.100619?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Granlund, Markus, 2011. "Extending AIS research to management accounting and control issues: A research note," International Journal of Accounting Information Systems, Elsevier, vol. 12(1), pages 3-19.
    2. Ittner, Christopher D. & Larcker, David F., 2001. "Assessing empirical research in managerial accounting: a value-based management perspective," Journal of Accounting and Economics, Elsevier, vol. 32(1-3), pages 349-410, December.
    3. Brougham, David & Haar, Jarrod, 2018. "Smart Technology, Artificial Intelligence, Robotics, and Algorithms (STARA): Employees’ perceptions of our future workplace," Journal of Management & Organization, Cambridge University Press, vol. 24(2), pages 239-257, March.
    4. Elizabeth Johnson & Matthew Petersen & Joshua Sloan & Adrian Valencia, 2021. "The Interest, Knowledge, And Usage Of Artificial Intelligence In Accounting: Evidence From Accounting Professionals," Accounting & Taxation, The Institute for Business and Finance Research, vol. 13(1), pages 45-58.
    5. Rikhardsson, Pall & Yigitbasioglu, Ogan, 2018. "Business intelligence & analytics in management accounting research: Status and future focus," International Journal of Accounting Information Systems, Elsevier, vol. 29(C), pages 37-58.
    6. Kaplan, Andreas & Haenlein, Michael, 2020. "Rulers of the world, unite! The challenges and opportunities of artificial intelligence," Business Horizons, Elsevier, vol. 63(1), pages 37-50.
    7. Appelbaum, Deniz & Kogan, Alexander & Vasarhelyi, Miklos & Yan, Zhaokai, 2017. "Impact of business analytics and enterprise systems on managerial accounting," International Journal of Accounting Information Systems, Elsevier, vol. 25(C), pages 29-44.
    8. Alles, Michael, 2020. "Using the 2019 JBE conference and 2017 JIS themed issue as natural experiments to examine the role of editors as gatekeepers of the research literature in AIS and ethics," International Journal of Accounting Information Systems, Elsevier, vol. 39(C).
    9. Amani, Farzaneh A. & Fadlalla, Adam M., 2017. "Data mining applications in accounting: A review of the literature and organizing framework," International Journal of Accounting Information Systems, Elsevier, vol. 24(C), pages 32-58.
    10. Ivy Munoko & Helen L. Brown-Liburd & Miklos Vasarhelyi, 2020. "The Ethical Implications of Using Artificial Intelligence in Auditing," Journal of Business Ethics, Springer, vol. 167(2), pages 209-234, November.
    11. Lee, Jessica & Elbashir, Mohamed Z. & Mahama, Habib & Sutton, Steve G., 2014. "Enablers of top management team support for integrated management control systems innovations," International Journal of Accounting Information Systems, Elsevier, vol. 15(1), pages 1-25.
    12. Kexing Ding & Baruch Lev & Xuan Peng & Ting Sun & Miklos A. Vasarhelyi, 2020. "Machine learning improves accounting estimates: evidence from insurance payments," Review of Accounting Studies, Springer, vol. 25(3), pages 1098-1134, September.
    13. Alles, Michael & Gray, Glen L., 2016. "Incorporating big data in audits: Identifying inhibitors and a research agenda to address those inhibitors," International Journal of Accounting Information Systems, Elsevier, vol. 22(C), pages 44-59.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Fábio Albuquerque & Paula Gomes Dos Santos, 2023. "Recent Trends in Accounting and Information System Research: A Literature Review Using Textual Analysis Tools," FinTech, MDPI, vol. 2(2), pages 1-27, April.
    2. Robalo, Rui C. & Moreira, José António, 2020. "The influence of power strategies in AIS implementation processes," International Journal of Accounting Information Systems, Elsevier, vol. 39(C).
    3. Mohamed Z. Elbashir & Steve G. Sutton & Habib Mahama & Vicky Arnold, 2021. "Unravelling the integrated information systems and management control paradox: enhancing dynamic capability through business intelligence," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(S1), pages 1775-1814, April.
    4. Maël Schnegg & Klaus Möller, 2022. "Strategies for data analytics projects in business performance forecasting: a field study," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 33(2), pages 241-271, June.
    5. Francis Aboagye‐Otchere & Cletus Agyenim‐Boateng & Abdulai Enusah & Theodora Ekua Aryee, 2021. "A Review of Big Data Research in Accounting," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 28(4), pages 268-283, October.
    6. Jochen Fähndrich, 2023. "A literature review on the impact of digitalisation on management control," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 34(1), pages 9-65, March.
    7. Wilkin, Carla & Ferreira, Aldónio & Rotaru, Kristian & Gaerlan, Luigi Red, 2020. "Big data prioritization in SCM decision-making: Its role and performance implications," International Journal of Accounting Information Systems, Elsevier, vol. 38(C).
    8. Zhang, Chanyuan (Abigail) & Cho, Soohyun & Vasarhelyi, Miklos, 2022. "Explainable Artificial Intelligence (XAI) in auditing," International Journal of Accounting Information Systems, Elsevier, vol. 46(C).
    9. Ahmad H. Juma’h & Yazan Alnsour, 2018. "Using Social Media Analytics: The Effect of President Trump’s Tweets On Companies’ Performance," Journal of Accounting and Management Information Systems, Faculty of Accounting and Management Information Systems, The Bucharest University of Economic Studies, vol. 17(1), pages 100-121, March.
    10. Reinking, Jeff & Arnold, Vicky & Sutton, Steve G., 2020. "Synthesizing enterprise data through digital dashboards to strategically align performance: Why do operational managers use dashboards?," International Journal of Accounting Information Systems, Elsevier, vol. 37(C).
    11. Adilson Carlos Yoshikuni & Rajeev Dwivedi & Ronaldo Gomes Dultra-de-Lima & Claudio Parisi & José Carlos Tiomatsu Oyadomari, 2023. "Role of Emerging Technologies in Accounting Information Systems for Achieving Strategic Flexibility through Decision-Making Performance: An Exploratory Study Based on North American and South American," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 24(2), pages 199-218, June.
    12. Jun, So Young & Kim, Dong Sung & Jung, Suk Yoon & Jun, Sang Gyung & Kim, Jong Woo, 2022. "Stock investment strategy combining earnings power index and machine learning," International Journal of Accounting Information Systems, Elsevier, vol. 47(C).
    13. Makarius, Erin E. & Mukherjee, Debmalya & Fox, Joseph D. & Fox, Alexa K., 2020. "Rising with the machines: A sociotechnical framework for bringing artificial intelligence into the organization," Journal of Business Research, Elsevier, vol. 120(C), pages 262-273.
    14. Knudsen, Dan-Richard, 2020. "Elusive boundaries, power relations, and knowledge production: A systematic review of the literature on digitalization in accounting," International Journal of Accounting Information Systems, Elsevier, vol. 36(C).
    15. Klaus Möller & Utz Schäffer & Frank Verbeeten, 2020. "Digitalization in management accounting and control: an editorial," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 31(1), pages 1-8, April.
    16. Shiyu Liu & Ou Liu & Junyang Chen, 2023. "A Review on Business Analytics: Definitions, Techniques, Applications and Challenges," Mathematics, MDPI, vol. 11(4), pages 1-20, February.
    17. Ágnes Szukits, 2022. "The illusion of data-driven decision making – The mediating effect of digital orientation and controllers’ added value in explaining organizational implications of advanced analytics," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 33(3), pages 403-446, September.
    18. Andrea Cardoni & Evgeniia Kiseleva & Francesco De Luca, 2020. "Continuous auditing and data mining for strategic risk control and anticorruption: Creating “fair” value in the digital age," Business Strategy and the Environment, Wiley Blackwell, vol. 29(8), pages 3072-3085, December.
    19. Saxton, Gregory D. & Guo, Chao, 2020. "Social media capital: Conceptualizing the nature, acquisition, and expenditure of social media-based organizational resources," International Journal of Accounting Information Systems, Elsevier, vol. 36(C).
    20. De Obesso Arias, María de las Mercedes & Pérez Rivero, Carlos Alberto & Carrero Márquez, Oliver, 2023. "Artificial intelligence to manage workplace bullying," Journal of Business Research, Elsevier, vol. 160(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ijoais:v:49:y:2023:i:c:s1467089523000118. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/international-journal-of-accounting-information-systems/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.