Feiqi (Freddy) Huang
Assistant Professor of Accounting
Dr. Huang is an Assistant Professor of Accounting at the School of Management at Marist College. He received his Ph.D. in Accounting from Rutgers, The State University of New Jersey. He is primarily interested in research topics including XBRL, IT capability, audit analytics, and cyber security disclosure. His research has published in accounting and AIS journals including Accounting Horizons, Journal of Information Systems, and Managerial Auditing Journal.
PhD, Rutgers, The State University of New Jersey; Accounting Information Systems
BS, Southwestern University of Finance and Economics; Economics
Research Interests/Areas of Focus
Data analytics, Cybersecurity incidents, XBRL, IT capability and Audit automation
Huang, F., W. G. No, and M. A. Vasarhelyi. 2019. Do managers use extension elements strategically in the SEC’s tagged data for financial statements? Evidence from XBRL complexity. Journal of Information Systems 33 (3):61-74.
Huang, F., and M.A. Vasarhelyi. 2019. Applying Robotic Process Automation (RPA) in Auditing: A Framework. International Journal of Accounting Information Systems 35:100433.
No, W. G., K. Lee, F. Huang, and Q. Li. 2019. Multidimensional audit data selection (MADS): A framework for using data analytics in the audit data selection process. Accounting Horizons 33 (3):127-140.
Huang, F., H. Li, and T. Wang. 2018. Information technology capability, management forecast accuracy, and analyst forecast revisions. Accounting Horizons 32 (3):49-70.
Chiu, T., F. Huang, Y. Liu, and M. A. Vasarhelyi. 2018. The impact of non-timely 10-Q filings and audit firm size on audit fees. Managerial Auditing Journal 33 (5):503-516.
2019 AAA Annual Meeting: “How Does Information-Processing Efficiency Relate to Investment Efficiency? Evidence from XBRL Adoption”
2018 AAA Annual Meeting: “Applying Robotic Process Automation (RPA) in Auditing: A Framework”
2018 Joint Midyear Meeting of the AIS and SET Section: “Do Managers Strategically Report Machine-Readable Financial Statement? Evidence from XBRL Complexity”
2017 AAA Annual Meeting: “Information Technology Capability, Management Forecast Accuracy and Analyst Forecast Revision”