The Impact of AI-Enabled Accounting Information Systems on Decision-Making Effectiveness: The Mediating Role of Data Analytics Capability
DOI:
https://doi.org/10.70568/ijdafs.3.1.3Keywords:
AI, Accounting Information Systems, Decision-Making Effectiveness, Data Analytics Capability, Digital Literacy, PLS-SEMAbstract
The current study investigates the impact of the AI-Enabled Accounting Information Systems on the Decision-Making Effectiveness, and it examines the mediating role of the Data Analytics Capability and the moderating role of the Digital Literacy in this relationship. Based on the review of the previous literature, it is argued that the AI-Enabled Accounting Information Systems represent a socio-technical capability rather than a stand-alone technology, and that the benefit of such systems depends on the organisational capability to convert the technical resources into a decision-useful knowledge. The data of the current study were analysed by using the Partial Least Squares Structural Equation Modeling (PLS-SEM) technique, and the measurement model and the structural model were both assessed in accordance with the established criteria. The results indicate that the AI-Enabled Accounting Information Systems has a positive and a significant effect on the Data Analytics Capability (β = 0.400, p = 0.000) and on the Decision-Making Effectiveness (β = 0.246, p = 0.000), and that the Data Analytics Capability also has a positive and a significant effect on the Decision-Making Effectiveness (β = 0.300, p = 0.000). Moreover, the mediation analysis confirms that the Data Analytics Capability partially mediates the relationship between the AI-Enabled Accounting Information Systems and the Decision-Making Effectiveness (indirect effect = 0.120, p = 0.000), and the moderation analysis confirms that the Digital Literacy strengthens this relationship (β = 0.148, p = 0.021). It is concluded that the value of the AI-Enabled Accounting Information Systems for the organisational decision-making is not automatic, and that it depends on the organisational capability to analyse the data and on the digital literacy of the users. The theoretical and the practical implications, as well as the limitations of the current study, are discussed accordingly.
References
Abbas, K. (2026). Management accounting and artificial intelligence: A comprehensive literature review and recommendations for future research. The British Accounting Review, 58(2), 101551.
Al-Htaybat, K., & von Alberti-Alhtaybat, L. (2017). Big data and corporate reporting. Journal of Financial Reporting and Accounting, 15(1), 92–104. https://doi.org/10.1108/JFRA-01-2016-0005
Alles, M. G. (2015). Drivers of the use and value of big data by internal auditors. Accounting Horizons, 29(2), 439–454. https://doi.org/10.2308/acch-51068
Alonso-Morales, N., & Saez-Martín, A. (2026). Artificial intelligence in public sector accounting information systems: adoption or resistance among accountants and auditors?. Journal of Public Budgeting, Accounting & Financial Management, 38(6), 61-80.
Appelbaum, D., Kogan, A., Vasarhelyi, M. A., & Yan, Z. (2017). Big data and analytics in the modern audit. Accounting Horizons, 31(2), 1–15.
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/10.1016/j.accinf.2017.03.003
Arnold, V. (2018). The changing technological environment and the future of management accounting. Journal of Accounting Education, 44, 1–14. https://doi.org/10.1016/j.jaccedu.2018.05.001
Bhimani, A. (2020). Digital data and management accounting. Management Accounting Research, 47, 100700. https://doi.org/10.1016/j.mar.2020.100700
Bhimani, A., & Willcocks, L. (2014). Digitisation, “Big Data” and the transformation of accounting information. Accounting and Business Research, 44(4), 469–490. https://doi.org/10.1080/00014788.2014.910051
Brynjolfsson, E., & McAfee, A. (2014). The second machine age. W. W. Norton.
Chiu, V., Liu, Q., & Vasarhelyi, M. A. (2014). The development of information systems assurance. Journal of Information Systems, 28(1), 1–12. https://doi.org/10.2308/isys-50665
Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard Business Review, 96(1), 108–116.
DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success. Journal of Management Information Systems, 19(4), 9–30. https://doi.org/10.1080/07421222.2003.11045748
Duan, Y., Edwards, J. S., & Dwivedi, Y. K. (2019). Artificial intelligence for decision making in the era of Big Data. International Journal of Information Management, 48, 63–71. https://doi.org/10.1016/j.ijinfomgt.2019.01.021
Elliott, R. K. (1992). The third wave breaks on the shores of accounting. Accounting Horizons, 6(2), 61–85.
Faccia, A., & Mosteanu, N. R. (2019). Accounting and blockchain technology: From double-entry to triple-entry. Business and Management Horizons, 7(2), 108–116. https://doi.org/10.5296/bmh.v7i2.15343
Ghasemaghaei, M. (2019). Does data analytics use improve firm decision making quality? Information & Management, 56(3), 348–358. https://doi.org/10.1016/j.im.2018.09.007
Grabski, S. V., Leech, S. A., & Schmidt, P. J. (2011). A review of ERP research. Journal of Information Systems, 25(1), 37–69. https://doi.org/10.2308/jis.2011.25.1.37
Jarrahi, M. H. (2018). Artificial intelligence and the future of work. Business Horizons, 61(4), 577–586. https://doi.org/10.1016/j.bushor.2018.03.001
Kokina, J., Mancha, R., & Pachamanova, D. (2017). Blockchain: Emergent industry adoption and implications for accounting. Journal of Emerging Technologies in Accounting, 14(2), 91–100. https://doi.org/10.2308/jeta-51911
Krahel, J. P., & Titera, W. R. (2015). Consequences of big data and formalization on accounting and auditing standards. Accounting Horizons, 29(2), 409–422. https://doi.org/10.2308/acch-51065
Mikalef, P., & Gupta, M. (2021). Artificial intelligence capability. Information & Management, 58(3), 103434. https://doi.org/10.1016/j.im.2021.103434
Mikalef, P., van der Heijden, T., & Pateli, A. (2020). Big data analytics capabilities and innovation. Information & Management, 57(7), 103381. https://doi.org/10.1016/j.im.2020.103381
Moll, J., & Yigitbasioglu, O. (2019). The role of internet-related technologies in shaping the work of accountants. The British Accounting Review, 51(6), 100833. https://doi.org/10.1016/j.bar.2019.04.002
Niu, Y., Ying, L., Yang, J., Bao, M., & Sivaparthipan, C. B. (2021). Organizational business intelligence and decision making. Information Processing & Management, 58(6), 102761. https://doi.org/10.1016/j.ipm.2021.102761
Raisch, S., & Krakowski, S. (2021). Artificial intelligence and management: The automation–augmentation paradox. Academy of Management Review, 46(1), 192–210. https://doi.org/10.5465/amr.2018.0072
Sarker, I. H. (2021). Machine learning: Algorithms, real-world applications and research directions. SN Computer Science, 2, 160. https://doi.org/10.1007/s42979-021-00592-x
Schiavi, G. S., & Behr, A. (2018). Emerging technologies and the evolution of accounting. Meditari Accountancy Research, 26(2), 231–254. https://doi.org/10.1108/MEDAR-05-2017-0151
Shrestha, Y. R., Ben-Menahem, S. M., & von Krogh, G. (2019). Organizational decision-making structures in the age of artificial intelligence. California Management Review, 61(4), 66–83. https://doi.org/10.1177/0008125619862257
Sutton, S. G., Holt, M., & Arnold, V. (2016). The reports of my death are greatly exaggerated. International Journal of Accounting Information Systems, 22, 60–73. https://doi.org/10.1016/j.accinf.2016.07.005
Sutton, S. G., Holt, M., & Arnold, V. (2018). “The reports of my death are greatly exaggerated”—Artificial intelligence research in accounting. International Journal of Accounting Information Systems, 28, 60–73. https://doi.org/10.1016/j.accinf.2017.12.005
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology. MIS Quarterly, 27(3), 425–478. https://doi.org/10.2307/30036540
Warren, J. D., Moffitt, K. C., & Byrnes, P. (2015). How big data will change accounting. Accounting Horizons, 29(2), 397–407. https://doi.org/10.2308/acch-51069
Wiersema, W. F., & de Jong, A. (2020). The impact of artificial intelligence on accounting and auditing. Journal of Emerging Technologies in Accounting, 17(2), 1–15.
Wilkin, C. L., & Liu, B. R. (2026). How accountants judge and use big data as an information source for business decision-making. International Journal of Accounting Information Systems, 57, 100774.
Yan, J., Zhou, R., Liu, B., Xu, Y., & Cao, X. (2023). Plexiform schwannomas of the sciatic nerve: a case report and review of the literature. Heliyon, 9(7).
Yigitbasioglu, O. M. (2015). The role of institutional pressures and top management support in the intention to adopt cloud computing. International Journal of Accounting Information Systems, 18, 1–15. https://doi.org/10.1016/j.accinf.2015.02.003
Zhang, Y., Xiong, F., Xie, Y., Fan, X., & Gu, H. (2020). The impact of artificial intelligence and blockchain on the accounting profession. IEEE Access, 8, 110461–110477. https://doi.org/10.1109/ACCESS.2020.3000505
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