Research Presentations by My Students

  1. Jaecheol Park, Arslan Aziz, Gene Moo Lee (2021) “Do Incentivized Reviews Poison the Well? Evidence from a Natural Experiment at Amazon.com”, Workshop on Information Systems and Economics (WISE), December 2021, Austin, TX.
  2. Soonjae Kwon, Sung-Hyuk Park, Gene Moo Lee, Dongwon Lee (2021) Learning Faces to Predict Matching Probability in an Online Dating Market, Workshop on Information Technologies and Systems (WITS), December 2021, Austin, TX.
  3. Soonjae Kwon, Sung-Hyuk Park, Gene Moo Lee, Dongwon Lee (2021) Learning Faces to Predict Matching Probability in an Online Dating Market, Conference on Artificial Intelligence, Machine Learning, and Business Analytics (AIMLBA), December 2021, Virtual.
  4. Myunghwan Lee, Gene Moo Lee, Hasan Cavusoglu, Marc-David L. Seidel (2021) Structural Hole-based Measures of Firm’s Strategic Competitive Positioning, INFORMS Workshop on Data Science (DS), November 2021, Virtual.
  5. Rui Cao, Gene Moo Lee, Hasan Cavusoglu (2021) Corporate Social Network Analysis: A Deep Learning Approach, INFORMS Workshop on Data Science (DS), November 2021, Virtual.
  6. Soonjae Kwon, Sung-Hyuk Park, Gene Moo Lee, Dongwon Lee (2021) Learning Faces to Predict Matching Probability in an Online Dating Market, INFORMS Workshop on Data Science (DS), November 2021, Virtual.
  7. Rui Cao, Gene Moo Lee, Hasan Cavusoglu (2021) Corporate Social Network Analysis: A Deep Learning Approach, INFORMS Annual Meeting, October 2021, Virtual.
  8. Jaecheol Park, Arslan Aziz, Gene Moo Lee (2021) “Do Incentivized Reviews Poison the Well? Evidence from a Natural Experiment at Amazon.com”, UBC Sauder MIS Seminar Series, October 2021, Virtual.
  9. Myunghwan Lee, Gene Moo Lee, Donghyuk Shin, Sang-Pil Han (2021) Robots Serve Humans: Does AI Robot Adoption Enhance Operational Efficiency and Customer Experience?, UBC Sauder MIS Seminar Series, February 2021, Virtual.
  10. Matthias Schulte-Althoff, Daniel Fuerstenau, Gene Moo Lee, Hannes Rothe, Robert Kauffman (2021) A Scaling Perspective in AI Startups, HIIG Brownbag Lunch Seminar, February 2021, Virtual.
  11. Matthias Schulte-Althoff, Daniel Fuerstenau, Gene Moo Lee  (2021) A Scaling Perspective in AI Startups, Hawaii International Conference on System Sciences (HICSS), January 2021, Virtual.
  12. Myunghwan Lee, Gene Moo Lee, Donghyuk Shin, Sang-Pil Han (2020) Robots Serve Humans: Does AI Robot Adoption Enhance Operational Efficiency and Customer Experience?, Workshop on Information Technologies and Systems (WITS), December 2020, Virtual.
  13. Rui Cao, Gene Moo Lee, Hasan Cavusoglu (2020) Corporate Social Network Analysis: A Deep Learning Approach, Workshop on Information Technologies and Systems (WITS), December 2020, Virtual.
  14. Myunghwan Lee, Gene Moo Lee, Donghyuk Shin, Sang-Pil Han (2020) Robots Serve Humans: Does AI Robot Adoption Enhance Operational Efficiency and Customer Experience?, KrAIS Workshop, December 2020, Virtual.
  15. Rui Cao, Gene Moo Lee, Hasan Cavusoglu (2020) Corporate Social Network Analysis: A Deep Learning Approach, UBC Sauder MIS Seminar Series, February 2020, Virtual.
  16. Matthias Schulte-Althoff, Kai Schewina, Gene Moo Lee, Daniel Fuerstenau (2020) On the Heterogeneity of Digital Infrastructure in Entrepreneurial Ecosystems, Hawaii International Conference on System Sciences (HICSS), January 2020, Maui, Hawaii.
  17. Myunghwan Lee, Gene Moo Lee, Hasan Cavusoglu, Marc-David L. Seidel (2019) Opportunity Structure: Tensions in Strategic Posture Identification and Positioning of IPOs, KrAIS Workshop, December 2019, Munich, Germany.
  18. Myunghwan Lee, Gene Moo Lee, Hasan Cavusoglu, Marc-David L. Seidel (2019) Opportunity Structure: Tensions in Strategic Posture Identification and Positioning of IPOs, INFORMS Conference on Information Systems and Technologies (CIST), November 2019, Seattle, Washington.
  19. Sam Hwang, Gene Moo Lee, Myunghwan Lee, Raymond Situ (2019) How Does Heterogeneity in Beliefs Affect Students in the Intergenerational Game? KER International Conference, August 2019, Seoul, Korea.
  20. Victor Song, Hasan Cavusoglu, Gene Moo Lee, Mary Li Zhi Ma (2019) IT Risk Factor Disclosure and Stock Price Crash Risk, UBC Sauder MIS Seminar Series, February 2019, Vancouver, British Columbia.
  21. Yunsik Choi (2018) CybeRatings: An origin responsibility measurement framework using spam and phishing data, Bright Internet Global Summit (BIGS), December 2018, San Francisco, California.
  22. Myunghwan Lee, Gene Moo Lee, Hasan Cavusoglu, Marc-David L. Seidel (2018) Opportunity Structure: Tensions in Strategic Posture Identification and Positioning of IPOs, UBC Sauder MIS Seminar Series, November 2018, Vancouver, British Columbia.
  23. Victor Song, Hasan Cavusoglu, Gene Moo Lee, Mary Li Zhi Ma (2018) IT Risk Factor Disclosure and Stock Price Crash Risk, UBC Cybersecurity Summit, May 2018, Vancouver, British Columbia.
  24. Yunsik Choi, Shu He, Gene Moo Lee, Chung Man Leung, Andrew Whinston, Yunhui Zhuang (2017) A Pan-Asian Field Experiment of Organizational Awareness to Information Security and Preparedness Against Cybercrime, Workshop on Information Technologies and Systems (WITS), December 2017, Seoul, Korea. Best Research-In-Progress Nomination.
  25. Yunsik Choi, Jin Hyuk Choi, Gene Moo Lee, Andrew Whinston (2017) Internet Service Providers as Cyber-Defenders: A Dynamic Game-Theoretic Model, Workshop on Information Technologies and Systems (WITS), December 2017, Seoul, Korea.
  26. Yunsik Choi, Jin Hyuk Choi, Gene Moo Lee, Andrew Whinston (2017) To Disconnect or Not: A Cybersecurity Game, KrAIS Workshop, December 2017, Seoul, Korea. Best Paper Award.
  27. Yunsik Choi, Jin Hyuk Choi, Gene Moo Lee, Andrew Whinston (2017) To Disconnect or Not: A Cybersecurity Game, INFORMS Conference on Information Systems and Technologies (CIST), November 2017, Houston, Texas.