Faculty/Staff

Fang-Chun Liu

Fang-Chun Liu

Associate Professor
fangchun@usf.edu
Campus: St. Petersburg
Room: LPH 319F
Phone: 727-873-4288

Fang-Chun Liu is an associate professor at the Lynn Pippenger School of Accountancy in St. Petersburg. She has been at 新澳门六合彩内幕信息since 2018, coming from the Stevens Institute of Technology where she was an assistant professor. She currently teaches Accounting Information Systems and Principles of Managerial Accounting.

Her research interests include business value of technology, corporate governance, extensible business reporting language, strategic management and performance measurement. Her work has been published in Benchmarking: An International Journal, Decision Sciences, Information and Management, and International Journal of Operations and Production Management. She has presented her research at the American Accounting Association Annual Meeting and the International Conference on Information Systems, among others. She is a member of the American Accounting Association and the Association for Information Systems.

Liu received a PhD from Temple University, an MBA from the National Chung Cheng University in Taiwan, and a bachelor鈥檚 degree in accounting from National Cheng Kung University in Taiwan.

Teaching

  • ACG 2071 Principles of Managerial Accounting
  • ACG 3401 Accounting Information Systems

Research

  • Xu, G., F. Liu, H. Hsu, and J. W. Lin. (2020) 鈥淭he impact of pension governance practices on the public defined benefit pension performance,鈥 Benchmarking: An International Journal, 27(1): 192-214.
  • Yang, S., Liu, F., Zhu, X. & Yen, D. (2019). A graph mining approach to identify financial reporting patterns: An empirical examination of industry classifications. Decision Sciences, 50(4): 847-876.
  • Liu, F., Hsu, H. & Yen, D. (2018). Technology executives in the changing accounting information environment: Impact of IFRS adoption on CIO compensation. Information and Management, 55(7): 877-889.

Service

  • Member, Diversity Committee, Muma College of Business