We are Tilburg University

We are Tilburg University

Bio

Carol Xiaojuan Ou is a full professor of Information Management at Tilburg University. Her research interests include digital transformation, digital platforms, applied business analytics, cross-cultural studies, knowledge management, social networks, computer-mediated communication, and electronic commerce. Carol is serving as a Senior Editor for Information Systems Journal, Information & Management, as well as IT and People. She is a Certified IS Auditor, an Academic Advocate or IS Audit and Control Association, as well as a Committee Member of various conferences on IS and IT. She is now the Head of Management Department together with Aswin van Oijen.

Teaching

320124 IT Governance and Strategic Sourcing

Courses

Recent publications

  1. Making the developing world a better place with high-impact IS resear…

    Andrade, A. D., Techatassanasoontorn, A. A., & Ou, C. (2019). Making the developing world a better place with high-impact IS research. Information Systems Journal, 29(4), 838-841.
  2. Media or message, which is the king in social commerce? - An empirica…

    Wang, W., Chen, R. R., Ou, C. X., & Ren, S. J. (2019). Media or message, which is the king in social commerce? An empirical study of participants' intention to repost marketing messages on social media. Computers in Human Behavior, 93, 176-191.
  3. Adopted globally but unusable locally: What workarounds reveal about …

    Davison, R. M., Wong, L. H. M., Alter, S., & Ou, C. (2019). Adopted globally but unusable locally: What workarounds reveal about adoption, resistance, compliance and non-compliance. In Proceedings of the 27th European Conference on Information Systems (ECIS) [19] Stockholm, Sweden : Association for Information Systems.
  4. Modeling shopping cart decisions with heterogeneous product involveme…

    Gao, H., Ou, C., & Liu, H. W. (2019). Modeling shopping cart decisions with heterogeneous product involvement and reviews. In Proceedings of the 23rd Pacific Asia Conference on Information Systems (PACIS) Xi’an, China.
  5. Predicting re-loan success based on friendship network characteristic…

    Gao, H., Liu, H., Ou, C., Pavlou, P. A., Zhu, H., & Zhan, M. (2018). Predicting re-loan success based on friendship network characteristics in the online micro-loan marketplace. In Proceedings of 24th Americas Conference on Information Systems (2018 AMCIS): Digital Disruption [14] New Orleans: Association for Information Systems.

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