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Faculty Experts

Ching Ren

CONNECT

Carlson School of Management

Ching Ren

Assistant Professor, Information and Decision Sciences

Yuqing Ching Ren is an assistant professor of information and decision sciences at the Carlson School of Management at the University of Minnesota. She holds a PhD from Carnegie Mellon University. Her research interests are social media, online community, distributed collaboration, knowledge management, and computational modeling of social and organizational systems. Recently she has been studying the opportunities and challenges associated with social media and how businesses can transform their structure and culture to adapt to the new trends. Her work has been published at Academy of Management Annals, Human-Computer Interaction, Journal of Management Studies, Journal of MIS, Management Science, MIS Quarterly, Organization Science, and Organization Studies as well as the proceedings of AOM, CSCW, HICSS, ICIS, and SIGCHI. She currently serves on the editorial board of Organization Science.

Research Interests

  • Social media’s impact on work and organization

  • Virtual teams and collaboration

  • Online community design

  • Social media marketing


Related Publications

“Agent-based modeling to inform online community theory and design: Impact of discussion moderation on member commitment and contribution.” Human-Computer Interaction. 2014.

“The impact of membership overlap on the growth: An ecological competition view of online groups.” Organization Science, 2013, 24(2), 414-431.

“Building member attachment in online communities: Applying theories of group identity and interpersonal bonds.” MIS Quarterly, 2012, 36(3), 841-864. [PDF]

“Transactive memory systems: Micro foundations of dynamic capabilities.” Journal of Management Studies, 2012, 49(8), 1375-1382.

“Multiple group coordination in complex and dynamic task environments: Interruptions, coping mechanisms, and technology recommendations.” Journal of MIS, 2008, 23(1), 105-130.

“Expertise and collaboration in the geographically dispersed organization.” Organization Science, 2007, 18(4), 595-612.