Min Chen

Min Chen is an Associate Professor of Information Systems at the Costello College of Business, George Mason University. He has received a PhD in Management Science from the Jindal School of Management at the University of Texas at Dallas.

Dr. Chen’s research interests include online advertising, economics of information systems, and optimization models. His research has been published in Management Science, Information Systems Research, MIS Quarterly, IEEE Transactions on Knowledge and Data Engineering, and Decision Support Systems. He has presented his research at various conferences, including the International Conference on Information Systems (ICIS), the Workshop on Information Technology and Systems (WITS), the Conference on Information Systems and Technology (CIST), the Workshop on the Economics of Information Security (WEIS), and the China Workshop on Economics of Information Systems Theory (CWEIST). He is an associate editor at Information Technology and Management, on the editorial review board at Production and Operations Management and Decision Sciences, and a member of the Association for Information Systems (AIS), the Institute for Operations Research and the Management Sciences (INFORMS), and the Production and Operations Management Society (POMS).

Research Interests

• Agency problems in Online Advertising
• Economics of Information Systems
• Information Security
• Data Mining
• Optimization Models

Education

• Ph.D. in Management Science (Major: Information Systems), The University of Texas at Dallas, USA

Research and Awards

• Min Chen, Abhishek Ray, and Subodha Kumar. 2025. “An Economic Analysis of Online Ad Fraud Deterrence,” Management Science, Forthcoming.
• Min Chen, Min-Seok Pang, and Subodha Kumar. 2021. “Do You Have a Room for Us in Your IT? An Economic Analysis of Shared IT Services and Implications for IT Industries,” MIS Quarterly, 45 (1): 225–268.
• Min Chen. 2020. “Reducing Web Page Complexity to Facilitate Effective User Navigation,” IEEE Transactions on Knowledge and Data Engineering (TKDE), 32(4), 739 - 753.
• Min Chen. 2018. “Improving Website Structure through Reducing Information Overload,” Decision Support Systems, Vol. 110, pp. 84 – 94.
• Min Chen, Varghese S. Jacob, Suresh Radhakrishnan, and Young U. Ryu. 2015. “Can Payment-Per-Click Induce Improvements in Click Fraud Identification Technologies?” Information Systems Research, Vol. 26, pp. 754 – 772.
• Min Chen and Young U. Ryu. 2013. “Facilitating Effective User Navigation through Website Structure Improvement,” IEEE Transactions on Knowledge and Data Engineering, Vol25, pp. 571 – 588.
• Presented the paper titled, “Do You Have a Room for Us in Your IT? – An Economic Analysis of Shared IT Services and Implications for IT Industries” at the INFORMS Conference on Information Systems and Technology in San Francisco, California in 2014 (with coauthor Min-Seok Pang). The paper was also published in the conference proceedings.
• Presented the paper titled, “An Economic Analysis of Shared IT Services in Public Sector” at the INFORMS Annual Meeting in San Francisco, California in 2014 and at the Workshop on Information Technology and Systems in Auckland, New Zealand in 2014 (with colleague Min-Seok Pang). The paper was also published in the proceedings from both conferences.
• Presented the paper titled, “An Analysis of Click Fraud Auditing in Pay-Per-Click Advertising” at the INFORMS Annual Meeting in Phoenix, Arizona in October in 2012 (with coauthors). 
• Presented the paper titled, “The Effect of Fraud Investigation Cost on Pay-Per-Click Advertising” at The Annual Workshop on the Economics of Information Security (WEIS) in Berlin, Germany in June in 2012 (with coauthors). The paper was published in the conference proceedings.
• Published an article titled, “Facilitating Effective User Navigation through Website Structure Improvement” in IEEE Transactions on Knowledge and Data Engineering in 2013.

Awards

• School of Business Dean’s Scholar, George Mason University, 2020-2023
• Outstanding Research Award, George Mason University, 2014, 2016

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