American Psychological Association 6th edition

Khanmohammadi, M., Salehi, M., Hassani, M., & Memarimoghadam, A. (2025). The alchemy of accuracy: machine learning illuminates audit fees in emerging markets. Journal of Revenue and Pricing Management, 1-14. https://doi.org/10.1057/s41272-025-00571-4

ISO-690 (author-date, English)

KHANMOHAMMADI, Mohammadhamed, SALEHI, Mahdi, HASSANI, Mohammad und MEMARIMOGHADAM, Arezoo, 2025. The alchemy of accuracy: machine learning illuminates audit fees in emerging markets. Journal of Revenue and Pricing Management. 22 Dezember 2025. P. 1-14. DOI 10.1057/s41272-025-00571-4.

Modern Language Association 9th edition

Khanmohammadi, M., M. Salehi, M. Hassani, und A. Memarimoghadam. „The Alchemy of Accuracy: Machine Learning Illuminates Audit Fees in Emerging Markets“. Journal of Revenue and Pricing Management, Dezember 2025, S. 1-14, https://doi.org/10.1057/s41272-025-00571-4.

Mohr Siebeck - Recht (Deutsch - Österreich)

Khanmohammadi, Mohammadhamed/Salehi, Mahdi/Hassani, Mohammad/Memarimoghadam, Arezoo: The alchemy of accuracy: machine learning illuminates audit fees in emerging markets, Journal of Revenue and Pricing Management 2025, 1-14.

Emerald - Harvard

Khanmohammadi, M., Salehi, M., Hassani, M. und Memarimoghadam, A. (2025), „The alchemy of accuracy: machine learning illuminates audit fees in emerging markets“, Journal of Revenue and Pricing Management, S. 1-14.

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.