Dr. David Y. Chan is a licensed Certified Public Accountant in the State of New York, Certified Internal Auditor, and Certified Fraud Examiner.
Ph.D., Management with Concentration in Accounting Information Systems, Rutgers, the State University of New Jersey
M.S., Accounting, St. John's University
B.S., Finance, St. John's University
Dr. Chan's teaching interests include financial auditing, internal auditing, fraud examination, and information technology auditing.
Dr. Chan's research interests include auditing, auditing technology, and the application of technology in accounting and auditing.
Chan, D. Y., and Kogan, A. (2016). Data Analytics: Introduction to Using Analytics in Auditing. Journal of Emerging Technologies in Accounting.
Chan, D. Y., and Kogan, A. (2015). Machine Learning for Predicting the Procurement of an Independent Audit at Small Private Commercial Banks: Is the Decision to Procure an Audit Systematic?. Academy of Business Research Journal. vol. II,
Li, P., Chan, D. Y., and Kogan, A. (2015). Exception Prioritization in the Continuous Auditing Environment: A Framework and Experimental Evaluation. Journal Of Information Systems.
Vasarhelyi, M. A., Chan, D. Y., and Krahel, J. (2012). Consequences of XBRL Standardization on Financial Statement Data. Journal Of Information Systems. vol. 26, pp. 155-167.
Chan, D. Y., and Vasarhelyi, M. A. (2011). Innovation and practice of continuous auditing. International Journal Of Accounting Information Systems. vol. 12, pp. 152.