University of Maryland

Ping Wang

drwangping148Associate Professor


Affiliate Associate Professor

Decision, Operations and Information Technologies Department, Robert H. Smith School of Business

At the University of Maryland, College Park, Ping Wang is an associate professor at the College of Information Studies (iSchool) and a Senior Fellow at the Center for the Advanced Study of Communities and Information (CASCI). He is also an affiliate associate professor at the Decision, Operations and Information Technologies department of the R. H. Smith School of Business. Dr. Wang studies digital innovations – new ideas, practices, and products enabled by digital technologies. Specifically, his research seeks to understand the communities and ecosystems where digital innovations emerge, spread, and influence individuals, organizations, and society. He leads interdisciplinary research teams that employ diverse methods, such as natural language processing, crowdsourcing, information visualization, and social network analysis, to develop theories of digital innovation communities and ecosystems. His work has appeared in leading journals such as MIS Quarterly, Journal of the American Society for Information Science and Technology, Information Visualization, and MIT Sloan Management Review. In 2016, one of his papers won the Best Paper Award at the International Conference on Information Systems (ICIS). In 2010, one of his papers won the Best Published Paper Award from the Organizational Communication and Information Systems division of the Academy of Management. Dr. Wang received his MBA from the Smith School of Business at the University of Maryland, and his Ph.D. from UCLA Anderson School.

Research Interests

Information technology innovation, Social media and green IT, Science of science & innovation policy, Institutional theory, Innovation ecology, Technology entrepreneurship

Recent Publications

Tausczik, Y., and Wang, P., To share, or not to share? Community-level collaboration in open innovation contests, Proceedings of the 21st ACM conference on Computer-Supported Cooperative Work and Social Computing (CSCW), Jersey City, NJ, November 2018.

Tausczik, Y., Wang, P., and Choi, J., Which size matters? Effects of crowd size on solution quality in big data Q&A communities, Proceedings of the 11th The International AAAI Conference on Web and Social Media (ICWSM), Montreal, Canada, May 2017.

Wang, P., Lee, M., Meng, X., and Butler, B.S., Toward an ecology theory of creativity in IT products: A study of mobile device industry, Proceedings of the 37th International Conference on Information Systems (ICIS), Dublin, Ireland, December 2016.