Yixin Lu

Yixin Lu
Title:
Assistant Professor of Information Systems & Technology Management
Office:
Information Systems & Technology Management
Address:
Funger Hall
2201 G Street NW
Suite 506
Washington, DC 20052
Phone:
202-994-5975
Email:
[email protected]

Yixin Lu’s research focuses on the strategic use of information and its impact on decision making. She applies interdisciplinary approaches combining econometrics, game theory, controlled lab experiment, large-scale randomized experiment, and machine learning techniques to identify and quantify the impact of technological advancement on individuals, organizations and markets. Her research has been published (or accepted for publication) in top journals and at conferences including Management Science, Management Information Systems Quarterly, the International Conference of Information Systems, and the Conference on Information Systems and Technologies, among others. Yixin has developed a close collaborative relationship with industry partners and has worked with a variety of firms, from traditional retail and wholesale sectors to new media and digital sharing platforms. Her academic work introduces novel methods and principles to guide these firms to manage informational challenges, optimize business operations, build capabilities, and compete in the big data era.

 

  • Auction Design
  • Business Intelligence
  • Digital Markets
  • Healthcare Analytics
  • Ph.D., Rotterdam School of Management, Erasmus University, 2014
  • M.S., Eindhoven University of Technology, 2008
  • M.S., University of Kaiserslautern, 2008
  • B.S., Chu Kochen Honors College, Zhejiang University, 2006
  • Introduction to Programming (ISTM3119)
  • Management Information Systems Technology (BADM2301)
  • Lu, Y., Gupta, A., Ketter, W. & Heck, E. van (2016). Exploring Bidder Heterogeneity in Multi-channel Sequential B2B Auctions: Evidence from the Dutch Flower Auctions. MIS Quarterly, 40 (3), pp.645-662.
  • Lu, Y., A. Gupta, W. Ketter, and E. van Heck. Dynamic Decision-Making in B2B Sequential Auctions: A Structural Econometric Approach, Forthcoming at Management Science.
  • Lu, Y., A. Gupta, W. Ketter, and E. van Heck. Information Transparency in B2B Auction Markets:Theory and Evidence from a Field Experiment, Forthcoming at Management Science.