Research

Journal Publications:

  • Cai, Y., Jiang, Z., and Mookerjee, V. How to Deal with Liars? Designing Intelligent Rule-Based Expert Systems to Increase Accuracy or Reduce Cost. INFORMS Journal on Computing, forthcoming.
  • Cai, Y., and Zhu, D. (2016), Reputation in an Open Source Software Community: Antecedents and Impacts. Decision Support Systems, 91, 103-112.

Conference Proceedings:

  • Cai, Y., and Zhu, D. (2015), Rating Fraud Detection—Towards Designing a Trustworthy Reputation Systems, at the Proceedings of the Thirty Six International Conference on Information Systems (ICIS ‘15),, Dallas, TX.
  • Cai, Y., Vogit, M., and Zhu, D. (2015), An Evidence-Based Analysis for Liver Transplants: Insights for Organ Allocation Policy, at the Proceedings of the 21st Americas Conference on Information Systems (AMCIS’ 15), Puerto Rico.
  • Cai, Y. and Zhu, D. (2013), Develop Profitable Recommendation Systems with Shilling Attacks Protection, at the Proceedings of the 23rd Workshop on Information Technologies & Systems (WITS ‘13), Milan, Italy.
  • Cai, Y. and Zhu, D. (2013), Understanding Factors Influencing Users’ Retweeting Behavior—A Theoretical Perspective, at the Proceedings of the 19th Americas Conference on Information Systems (AMCIS ‘13), Chicago, IL.
  • Cai, Y. and Zhu, D. (2013), A Theoretical Exploration for Supply Chain Leagility Capability: From the Dynamic Capabilities View, at the Proceedings of the forty sixth Hawaii International Conference on System Sciences (HICSS ‘13), Maui, HI.
  • Cai, Y., Jiang, Z. and V. Mookerjee. (2012), Designing Intelligent Expert Systems to Cope with Liars, at the Proceedings of the Thirty Third International Conference on Information Systems (ICIS ‘12), Orlando, FL.
  • Cai, Y and Zhu, D. (2012), Reputation in an Open Source Software Community, Research Paper, at the Proceedings of the 22nd Workshop on Information Technologies & Systems (WITS ‘12), Orlando, FL.

Other Presentations:

  • Cai, Y., and Zhu, D. (2015), How Could We Cope With Malicious Rater? —a New Detection Method for Trustworthy Reputation Systems. Presentation at Informs Annual Meeting 2015, Philadelphia, PA, November 1-4, 2015.