Michelle Wang

Color portrait of Lei Wang

Assistant Professor of Supply Chain & Information Systems

Office Address 426 Business Building
Phone Number 814-867-5838
Email Address luw21@smeal.psu.edu

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Lei Wang joins Penn State after completing her Ph.D. in the School of Business at University of Connecticut. Her research interests include location-based services, gamification, digital health and digital marketing.


Location-based services, Mobile-Commerce, Gamification, Healthcare Information Systems, Digital Marketing


Ph D, Business Administrative (Management Information Systems), University of Connecticut, 2014

MS, Economics, Xi'an Jiaotong University, 2008

BS, Electronic Science and Technology, Nanjing University of Science and Technology, 2005

Courses Taught

MIS 301 – Business Analytics (3)
Firms now have more data than ever generated from transaction processing systems, internal and external documents, and online activities such as emails, social networks, and click stream data. The challenge is to apply IS-supported tools and techniques to extract value from such data to support competitive strategies. This course will examine the complexities of data analysis and the tools and techniques companies are using today to extract information from this data. Topics include introductory data analysis with statistics, charting, histograms, and what if analysis; search engines and click stream analysis; social network analysis; and data visualization. Cases studies will be studied and discussed as a learning tool to understand successful data analysis occurring in business today. Microsoft’s Excel and Access, Gephi social network analysis software, and IBM’s Cognos data visualization software will be used as tools to apply students’ knowledge.

Selected Publications

Wang L., Gopal R., Shankar R., Pancras J., "On the Brink: Predicting Business Failure with Mobile Location-Based Checkins." Decision Support Systems, vol. 76, 2015, pp. 3-13, doi:10.1016/j.dss.2015.04.010, dx.doi.org/10.1016/j.dss.2015.04.010.
Wang L., Ba S., "Digital health communities: The effect of their motivation mechanisms." Decision Support Systems, vol. 55, no. 4, 2013, pp. 941-947, doi:10.1016/j.dss.2013.01.003, www.sciencedirect.com/science/article/pii/S0167923613000122.