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George Mason UniversitySchool of Business
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Chen, Min

Focus:Research Focused Faculty
Academic Unit:Information Systems and Operations Management
Positions:Associate Professor, Dean
Phone:703-993-4276
Office Location:Enterprise Hall 140
Office Hours:By Appointment
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

Profile:

Min Chen is an Associate Professor of Information Systems and Operations Management and a Dean’s Scholar at the School 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.

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

Research and Awards:

Min Chen, Min-Seok Pang, and Subodha Kumar. 2020. “Do You Have a Room for Us in Your IT? An Economic Analysis of Shared IT Services and Implications for IT Industries,” MIS Quarterly, forthcoming.

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.


HONORS AND AWARDS

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