Ting Sun

Dr. Ting Sun is an Assistant Professor of Accounting and Information Systems at the School of Business, the College of New Jersey. She holds a Ph.D. in accounting information systems from Rutgers, the State University of New Jersey, and a Ph.D. in accounting from Southwestern University of Finance and Economics. Dr. Sun is interested in the applications of Artificial Intelligence in accounting and auditing, financial reporting quality, machine learning, and data analytics. Her publications have appeared in the Review of Accounting Studies, Accounting Horizons, CPA Journal, Journal of Emerging Technologies in Accounting, Intelligent Systems in Accounting, Finance & Management, Managerial Auditing Journal, and many other prestigious journals. Dr. Sun is an editor for the Journal of Emerging Technologies in Accounting and reviewer for European Accounting Review, International Journal of Accounting Information Systems, Journal of Information Systems, and many other academic journals. She also serves as a reviewer for American Accounting Association Annual/Midyear Meeting. Dr. Sun has taught a variety of courses such as Accounting Information Systems, Auditing, Introduction to Financial Accounting, and Managerial Accounting.

Education

• Doctor of Philosophy (Ph.D.) Rutgers University - Newark (2014 — 2018)
• Doctor of Philosophy - PhD Southwestern University of Finance and Economics (2008 — 2012)

Companies

• Assistant Professor The College of New Jersey (2018)
• Instructor Rutgers Business School (2014)

Publications

• Sun, Ting, Appelbaum, Deniz, Showalter, D.Scott, Vasarhelyi Miklos. "A Framework for Auditor Data Literacy: A Normative Position.," Accounting Horizons, no. 35, 5-25, 2021.
• Sun, Ting, Hu, Hanxin, Duan, Kelly, Appelbaum Deniz. "Business News Headlines & Prophetic Vision of Bankruptcies: An Application Of Natural Language Processing." Presented at 51th World Continuous Auditing & Reporting Online Symposium, 2021.
• Sun, Ting, Hu Hanxin. "Applications of Machine Learning in Accounting and Auditing Research." Presented at 29th Annual Pacific Basin Finance, Economics, Accounting and Management Conference, 2021.
• Sun, Ting, Hu, Hanxin, Duan, Kelly, Appelbaum Deniz. "Business News Headlines & Prophetic Vision of Bankruptcies: An Application Of Natural Language Processing." Presented at 1st Conference of New Liberal Art, New Technology, New Accounting, Shanghai, 2021.
• Sun, Ting, Hu, Hanxin, Vasarhelyi, Miklos, Zhang Min. "A Machine Learning Approach to Measuring Audit Quality with Surprise Scores: Evidence from China and the US." Presented at American Accounting Association 2021 Annual Meeting, 2021.
• Sun, Ting, Hu Hanxin. "The applications of machine learning in accounting and auditing research," in Encyclopedia of Finance, Lee, C.F. and Lee, A.C. 2021
• Sun, Ting, Ding, Kexing, Peng, Xuan, Lev, Baruch, Vasarhelyi Miklos. "Machine Learning Improves Accounting Estimates," Review of Accounting Studies, 2020.
• Sun, Ting, Cho, Yoon, Zhang, Abby, Vasarhelyi Miklos. "Learning from Machine Learning in Accounting and Assurance.," Journal of Emerging Technologies in Accounting, 2020.
• Sun, Ting, Vasarhelyi Miklos. "Predicting Credit Card Delinquencies: An Application of Deep Neural Networks," in Handbook of Finance Econometrics, Mathematics, Statistics, and Machine Learning, Lee, C.F. and Lee, J. 2020 4349-4381.
• Sun Ting. "Machine Learning Improves Accounting Estimates." Presented at The Review of Accounting Studies (RAST) Annual Conference (International), Singapore, 2019.
• Sun Ting. "Applying Deep Learning in Audit Procedures: An Illustrative Framework.," The Accounting Horizons, no. 33, 89-109, 2019.
• Sun, Ting, Vasarhelyi Miklos. "Predicting Credit Card Delinquency: An Application of the Decision Tree Technique," in Audit Analytics in the Financial Industry: Rutgers Studies in Accounting Analytics, 2019 71-83.
• Sun Ting. "Discussion of "Enterprise Crowdsourcing Innovation in the Big 4 Consulting Firms"." Presented at AAA 2018 annual meeting, Washington D.C., 2018.
• Sun Ting. "• Applying Deep Learning in Audit Procedures: An Illustrative Framework." Presented at AAA 2018 annual meeting, Washington D.C., 2018.
• Sun, Ting, Vasarhelyi Miklos. "Predicting Credit Card delinquencies: An Application of Deep Neural Networks," Intelligent Systems in Accounting, Finance & Management, 2018.
• Sun, Ting, Sales Leonardo. "Predicting Public Procurement Irregularity: An Application of Neural Networks," Journal of Emerging Technologies in Accounting, no. 15, 141-154, 2018.
• Sun, Ting, Vasarhelyi Miklos. "Embracing Textual Data Analytics in Auditing with Deep Learning," International Journal of Digital Accounting Research, no. 18, 49-67, 2018.
• Sun Ting. "The Incremental Informativeness of the Sentiment of Conference Calls for Internal Control Material Weaknesses," Journal of Emerging Technologies in Accounting, no. 15, 11-27, 2018.
• Sun Ting. "Predicting Credit Card Delinquencies: An Application of Neural Networks." Presented at AAA 2017 annual meeting, San Diego, 2017.
• Sun Ting. "The Incremental Informativeness of Management Sentiment of Conference Calls for Internal Control Material Weaknesses." Presented at AAA 2017 annual meeting, San Diego, 2017.
• Sun Ting. "The Sentiment Feature of 10-K MD&As and the Financial Misstatement Prediction: A Comparison of Deep Learning and ‘Bag of Words’ Approaches." Presented at AAA 2017 midyear meeting, Orlando, 2017.
• Sun Ting. "The Routledge companion to accounting information systems ," in Routledge, Martin Quinn, Erik Strauss 2017
• Sun, Ting, Vasarhelyi Miklos. "Deep Learning and the Future of Auditing: How an Evolving Technology Could Transform Analysis and Improve Judgment.," The CPA Journal, no. 87, 24-29, 2017.
• Sun, Ting, Issa, Hussein, Vasarhelyi Miklos. "Research Ideas for Artificial Intelligence in Auditing: The Formalization of Audit and Workforce Supplementation," Journal of Emerging Technologies in Accounting, no. 13, 1-20, 2016.
• Sun, Ting, Vasarhelyi Miklos. "Adopting Continuous Auditing: A Cross-Sectional Comparison between China and the United States," Managerial Auditing Journal, no. 30, 176-204, 2015.
• Sun, Ting, Hu Hanxin. "CPA firms’ characteristics and audit quality: evidence from China," Research Currently in Progress.
• Sun Ting. "The informativeness of the sentiment of text for financial frauds prediction: a deep learning approach," Research Currently in Progress.