1. Alles, M. G., Kogan, A., & Vasarhelyi, M. A. (2002). Feasibility and economics of continuous assurance. Auditing: A Journal of Practice & Theory, 21(1), 125–138.
2. Appelbaum, D., Kogan, A., & Vasarhelyi, M. (2015). Moving towards continuous audit and big data with audit analytics: Implications for research and practice. Rutgers Accounting Research Center (RARC) and Continuous Auditing & Reporting Laboratory (CAR-Lab).
3. Balios, D., Kotsilaras, P., Eriotis, N., & Vasiliou, D. (2020). Big data, data analytics and external auditing. Journal of Modern Accounting and Auditing, 16, 5.
4. Dickey, G. (2019). Machine learning in Auditing current and future applications. CPA Journal, 2019(June), 1–10.
5. Jesus, M. (2018). How machine learning is disrupting the accounting industry. BigML Blog. https://bit.ly/37hIvU5