I am interested in applying economic modeling, optimization algorithms, and data analytics to study problems related to decision making. By using these tools, I study the impact of incentives and information in environments with complicated operations. The research findings may help one build decision support systems for decision optimization. Currently my works mainly lie in the following fields:

  • Multi-sided platforms.
  • Digital economy.
  • Supply chain and operations management.
  • Healthcare management.

In our deparment, my students and I together run the Lab of Information Economics and Decision Optimization to study problems in the above fields. While we pursue academic contributions in theory, we always try to keep our research aligned with industry needs. Current major industry partners of our lab include:

  • One harbor in Taiwan (personnel scheduling, ship scheduling).
  • One IT solution provider in Taiwan (inventory control, facility location, vehicle routing.
  • One healthcare provider in Taiwan (personnel scheduling, performance evaluation).

All prospective graduate students who are interested in our lab are welcome to contact me or other lab members directly for more information. Undergraduate students are also welcome.

Unfortunately (?!), most of my works require some technical skills. To make yourselves comfortable in our lab, you must like (or at least, do not hate) mathematical programming, game-theoretic modeling, and/or data analytics. Typically that means you like subjects such as Operations Research, Algorithms, Probability, Statistics, and/or Game Theory. We do write programs; we do develop information systems. However, those are not the main focus in this lab. If you want to learn more in software engineering and system development, I regret that I really cannot help you.

  • Cheng-Yuan (Kevin) Cheng* and Ling-Chieh Kung (2019), "Evaluation of innovation risk through patent risk factors: an empirical approach," Queen Mary Journal of Intellectual Property, 9(4) 414-429. Available from the publisher.

  • Ling-Chieh Kung* and Wei-Hung Liao (2018), "An approximation algorithm for a competitive facility location problem with network effects," European Journal of Operational Research, 267(1) 176-186. Available from the publisher or SSRN.

  • Ling-Chieh Kung* and Guan-Yu Zhong (2017), "The optimal pricing strategy for two-sided platform delivery in the sharing economy," Transportation Research Part E, 101 1-12. Available from the publisher or SSRN.

  • Ling-Chieh Kung* and Zong-Ting Chen (2016), "Price negotiation for taxi services under private customer urgency," International Journal of Operations Research, 13(4) 153-163. Available from the publisher.

  • Ling-Chieh Kung* and Ying-Ju Chen (2014), "Impact of reseller's and sales agent's forecasting accuracy in a multilayer supply chain," Naval Research Logistics 61(3) 207-222. Available from the publisher or SSRN.

  • Ling-Chieh Kung and Ying-Ju Chen* (2012), "The resource allocation problem for demand forecasting and performance measurement," Operations Research Letters 40(1) 61-68. Available from the publisher or SSRN.

  • Ling-Chieh Kung and Ying-Ju Chen* (2011), "Monitoring the market or the salesperson? The value of information in a multi-layer supply chain," Naval Research Logistics 58(8) 743-762. Available from the publisher or SSRN.
    * This paper received the 2014 Harold W. Kuhn Award as an exceptional paper published in NRL during 2011-2013.

  • Ling-Chieh Kung and Ching-Chin Chern* (2009), "Heuristic factory planning algorithm for advanced planning and scheduling," Computers and Operations Research 36(9) 2513-2530. Available from the publisher