Artificial Intelligence for Auditing
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-65014-7_4
Reference26 articles.
1. Zhang, C., Cho, S., Vasarhelyi, M.: Explainable Artificial Intelligence (XAI) in auditing. Int. J. Acc. Inf. Syst. 46, 100572 (2022)
2. Hope, O.K., Thomas, W.B., Vyas, D.: Stakeholder demand for accounting quality and economic usefulness of accounting in U.S. private firms. J. Acc. Public Policy 36(1), 1–13 (2017)
3. Cooper, D.J., Dacin, T., Palmer, D.: Fraud in accounting, organizations and society: extending the boundaries of research. Acc. Organ. Soc. 38(6–7), 440–457 (2013)
4. Harber, M., Maroun, W., Ricquebourg, A.D.: Audit firm executives under pressure: a discursive analysis of legitimisation and resistance to reform. Crit. Perspect. Acc. 97, 102580 (2023, in press)
5. Mikalef, P., Gupta, M.: Artificial intelligence capability: conceptualization, measurement calibration, and empirical study on its impact on organizational creativity and firm performance. Inf. Manage. 58(3), 103434 (2021)
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