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Craig School of Business

Chang Heon Lee

Associate Professor

Information Systems and Decision Sciences | 559.278.0102 | Office: PB 237

changheon@mail.fresnostate.edu

Education

Ph.D, Management Information Systems, Eller College of Management, University of Arizona

M.S., Information Systems, Kelley School of Business, Indiana University Bloomington

B.E., Electrical Engineering, Korea University, Seoul, South Korea

Courses Taught

IS 130. Information Systems
Chang Heon Lee is an associate professor of the Information Systems and Decision Sciences department, Craig School of Business. He earned his Ph.D. in Management Information Systems from the Eller College School of Management, University of Arizona, USA. He is interested in the research areas of crowdsourcing/crowdfunding, social media, big data analytics, business intelligence, and cloud computing. He also received his master degree in Management Information Systems from Indiana University, Bloomington, USA and his bachelor degree in Electrical Engineering from Korea University, South Korea.
Crowdfunding, Healthcare Analytics, Social Media, Platform Strategy
Lee, C. H., & Zhao, J. L. (2022). Social media engagement and crowdfunding performance: The moderating role of product type and entrepreneurs' characteristics. Journal of the Association for Information Science and Technology, 73(11), 1559-1578. https://doi.org/10.1002/asi.24694.

He, Y., Meng, J., Lee, C. H., Ren, J., Li, J., Yang, Q., ... & Yu, H. (2022, September). Efficient and Accurate Feature Extraction Using Local Density Detector. In Proceedings of the 2022 5th International Conference on Artificial Intelligence and Pattern Recognition (pp. 531-536). https://dl.acm.org/doi/abs/10.1145/3573942.3574059.

Liu, Y., Kong, J., Lee, C. H., & Bian, Y. (2021). Predicting the Retweeting of Social Media Content during Disasters. In PACIS (p. 64). https://aisel.aisnet.org/pacis2021/64/.

Lee, C. H., & Yu, H. (2020). The impact of language on retweeting during acute natural disasters: uncertainty reduction and language expectancy perspectives. Industrial Management & Data Systems, 120(8), 1501-1519. https://doi.org/10.1108/IMDS-12-2019-0711.

Bahng, J., & Lee, C. H. (2020). Topic modeling for analyzing patients’ perceptions and concerns of hearing loss on social Q&A sites: Incorporating patients’ perspective. International Journal of Environmental Research and Public Health, 17(17), 6209.

Lee, C. H., & Chiravuri, A. (2019). Dealing with initial success versus failure in crowdfunding market: Serial crowdfunding, changing strategies, and funding performance. Internet Research, 29(5), 1190-1212. https://doi.org/10.1108/INTR-03-2018-0132.

Lee, C. H., Bian, Y., Karaouzene, R., & Suleiman, N. (2019). Examining the role of narratives in civic crowdfunding: linguistic style and message substance. Industrial Management & Data Systems, 119(7), 1492-1514. https://doi.org/10.1108/IMDS-08-2018-0370.

Bian, Y., Lee, C. H., Zhao, J. L., & Wan, Y. (2019). A deep learning based model for driving risk assessment. http://hdl.handle.net/10125/59570.

Lee, C. H., & Bian, Y. (2018). Factors affecting success of serial crowdfunding: From heuristic and systematic perspectives. https://aisel.aisnet.org/pacis2018/131.