Jun Dai

Jun Dai is an Assistant Professor of Accounting Information Systems at Michigan Technological University's College of Business and a Richard and Joyce Ten Haken Faculty Fellow. Her research focuses on applying blockchain, AI, and Industry 4.0 technologies to enhance accounting efficiency and transparency. She holds a PhD from Rutgers University and a BS from Southwestern University of Finance and Economics in Chengdu, China.

Dr. Dai serves as an associate editor of the Journal of Emerging Technologies in Accounting and contributes to editorial boards of Journal of Information Systems and International Journal of Accounting Information Systems. She chairs the Strategic and Emerging Technologies Research Workshop at the American Accounting Association Annual Meetings. Her work has been published in top journals such as Accounting and Finance, Accounting Horizons, and CPA Journal.

Her research interests include ESG assurance, audit analytics, and blockchain-based accounting systems. Notable achievements include the 2023 Outstanding Researcher Award from the American Accounting Association, the 2021 Notable Contributions Award, and the 2017 Bright Idea Award for innovative research. She has also explored topics like AI ethics in managerial accounting, smart contracts in P2P lending, and satellite-based GHG emissions auditing.

Teaching focuses on accounting systems, analytical methods, and database management. Her interdisciplinary approach bridges technology and accounting, addressing modern challenges in audit processes, fraud prevention, and sustainable reporting.