Changjun LEE


Sungkyunkwan University (SKKU)

College of Computing and Informatics

✉ changjunlee@skku.edu


Bio

As a computational social scientist, I bring a unique interdisciplinary perspective to the fields of economics, innovation studies, and convergence technologies. With a background in natural sciences, including a bachelor’s degree in biology and chemistry, I went on to earn a Ph.D. in technology management, economics, and policy. My research focuses on utilizing computational methods to tackle a wide range of social phenomena, including technology evolution & regional growth, knowledge management, and technology & convergence innovation. I am passionate about using technology and data to drive innovation and solve real-world problems.

  • Research #Innovation #Media #Culture #Technology #Public Policy

  • Teaching #DataScience #Computational Social Science #Culture&Tech


Employment

  • Sungkyunkwan University (SKKU), Seoul, Republic of Korea
    College of Computing and Informatics
    School of Convergence
    Dep. of Culture & Technology (Head)

    • Associate Professor (2023 ~ present)

  • Hanyang University (ERICA), Ansan, Republic of Korea
    Department of Media & Social Informatics

    • Associate Professor (2022 ~ 2023)
    • Assistant Professor (2019 ~ 2022)

  • University College Dublin, Republic of Ireland
    Spatial Dynamics Lab

    • Senior Postdoctoral Research Fellow (2017 ~ 2019)

  • National University of Singapore, Singapore
    Lee Kuan Yew School of Public Policy

    • Postdoctoral Research Associate (2015 ~ 2017)


Education


Teachings

Go to Course page

  • Culture & Technology (문화와기술): 2023-F

  • Data-Science101 (데이터사이언스의이해): 2022-F, 2021-F, 2020-F, 2020-S, 2019-F

  • Machine Learning 101 (데이터예측모델과기계학습의응용): 2023-S, 2022-S, 2021-S, 2020-F

  • Database101 (데이터베이스의원리와응용): 2022-S, 2021-S, 2020-S

  • Basic Math & Statistics for Data Science (데이터사이언스를위한기초수학과통계): 2021-S

  • (Grad) Media & Data-Science (미디어와데이터사이언스): 2023-S, 2022-S, 2021-S

  • (Grad) Media User Data Analysis (미디어이용자데이터분석): 2022-F

  • Information Society Media Capstone Design 1 (정보사회캡스톤디자인): 2021-S


Internal and External Positions


Achievements

  • 2023. 성균관대학교 글로벌융합학부 컬처앤테크놀로지 Best Professor

  • 2022. 한국미디어경영학회 우수 논문 학술상

  • 2021. 한양대학교 에리카 국제연구부문 학술상 (신진교원상).

  • 2021. IC-PBL 루키 부문 우수상 수상.


Media


Graduate Alumni


Publications

International SSCI or SCIE

  • Choi Y.W. & Lee, C.* (2024). Time-of-Day and Day-of-Week Effects on TV and OTT Media Choices: Evidence from South Korea. Journal of Theoretical and Applied Electronic Commerce Research. 19(1), 1-19. https://doi.org/10.3390/jtaer19010001

  • Lee, C., Na, C. & Kim, K. (2023). The effect of watching OTT late at night on the sleep pattern of users. Sleep Biol. Rhythms, 21, 395–407. https://doi.org/10.1007/s41105-023-00459-z

  • Kim, J. & Lee, C.* (2023). The Return of the King: The Importance of Killer Content in a Competitive OTT Market. Journal of Theoretical and Applied Electronic Commerce Research. 18(2), 976-994. https://doi.org/10.3390/jtaer18020050

  • Na, C. H., Lee, C. & Kim, E. D.* (2023). The Optimal Open Innovation Strategy with Science-based Partners for Venture Firm’s Innovation Capabilities: Focusing on Innovation Modes. Science, Technology and Society, 28(2), 235-256. https://doi.org/10.1177/09717218231160442

  • Liu, H. S., Lee, C., Kim, K., Lee, J., Moon, A., Lee, D., & Park, M. (2023). An Analysis of Factors Influencing the Intention to Use” Untact” Services by Service Type. Sustainability, 15(4), 2870. https://www.mdpi.com/2071-1050/15/4/2870

  • Shim, D., Lee, C., & Oh, I. (2022). Analysis of OTT Users’ Watching Behavior for Identifying a Profitable Niche: Latent Class Regression Approach. Journal of Theoretical and Applied Electronic Commerce Research, 17(4), 1564-1580. https://www.mdpi.com/0718-1876/17/4/79

  • Kim, K., Kogler, D. F., Lee, C., & Kang, T.* (2022). Changes in regional knowledge bases and its effect on local labour markets in the midst of transition: Evidence from France over 1985–2015. Applied Spatial Analysis and Policy, 1-22. https://doi.org/10.1007/s12061-022-09444-4

  • Shon, M., Lee, D. & Lee, C.(2022). Inward or Outward? Direction of Knowledge Flow and Firm Efficiency. International Journal of Technology Management. 90(1-2), 102-121. https://doi.org/10.1504/IJTM.2022.124617

  • Park, I., Lee, J., Lee, D., Lee, C., & Chung, W. Y.* (2022). Changes in consumption patterns during the COVID-19 pandemic: Analyzing the revenge spending motivations of different emotional groups. Journal of Retailing and Consumer Services, 65, 102874. https://doi.org/10.1016/j.jretconser.2021.102874

  • Lee, C., Shin, H., Kim, K., & Kogler, D. F.* (2022). The effects of regional capacity in knowledge recombination on production efficiency. Technological Forecasting and Social Change. 180, 121669. https://doi.org/10.1016/j.techfore.2022.121669

  • Jung, E., Lee, C.*, & Hwang, J. (2022). Effective strategies to attract crowdfunding investment based on the novelty of business ideas. Technological Forecasting and Social Change. 178, 121558. https://doi.org/10.1016/j.techfore.2022.121558

  • Jeon, H., & Lee, C.* (2022). Internet of Things Technology: Balancing Privacy Concerns with Convenience. Telematics and Informatics. 70, 101816. https://doi.org/10.1016/j.tele.2022.101816

  • Kogler, D. F., Davies, R. B., Lee, C., & Kim, K.* (2022). Regional knowledge spaces: the interplay of entry-relatedness and entry-potential for technological change and growth. The Journal of Technology Transfer. 1-24. https://doi.org/10.1007/s10961-022-09924-2

  • Tóth, G., Elekes, Z., Whittle, A., Lee, C.*, & Kogler, D. F. (2022). Technology network structure conditions the economic resilience of regions. Economic Geography. 98(4), 1-24. https://doi.org/10.1080/00130095.2022.2035715

  • Jo, H., Park, S., Shin, D., Shin, J.*, & Lee, C. (2022). Estimating cost of fighting against fake news during catastrophic situations. Telematics and Informatics. 66, 101734. https://doi.org/10.1016/j.tele.2021.101734

  • Park, I., Shim, H., Kim, J., Lee, C., & Lee, D.* (2022). The Effects of Popularity Metrics in News Comments on the Formation of Public Opinion: Evidence from an Internet Portal Site. The Social Science Journal. doi:https://doi.org/10.1080/03623319.2020.1768485

  • Kim, K., Lee, J., & Lee, C.(2022). Which innovation type is better for production efficiency? A comparison between product/service, process, organizational, and marketing innovations using stochastic frontier and meta-frontier analysis. Technology Analysis & Strategic Management. doi: https://doi.org/10.1080/09537325.2021.1965979

  • Rocchetta, S., Mina, A., Lee, C., & Kogler, F. D. (2022). Technological Knowledge Space and the Resilience of European Regions. Journal of Economic Geography. 22(1), 27-51.* doi: https://doi.org/10.1093/jeg/lbab001

  • Lee, C., Cho, H., & Lee, D.* (2021). The mechanism of innovation spill-over across sub-layers in the ICT industry. Asian Journal of Technology Innovation. 29(2), 159-179. doi:https://doi.org/10.1080/19761597.2020.1796725

  • Jung, S., Kim, K. & Lee, C.(2021). The nature of ICT in technology convergence: A knowledge-based network analysis. PLOS ONE. 16(7): e0254424. https://doi.org/10.1371/journal.pone.0254424

  • Na, C., Lee, D., Hwang, J., & Lee, C.* (2021). Strategic Groups Emerged by Selecting R&D Collaboration Partners and Firms’ Efficiency. Asian Journal of Technology Innovation. 29(1), 109-133. doi:https://doi.org/10.1080/19761597.2020.1788957

  • Lee, C., Lee, D., & Shon, M.* (2020). Effect of efficient triple-helix collaboration on organizations based on their stage of growth. Journal of Engineering and Technology Management. 58, 101604. https://doi.org/10.1016/j.jengtecman.2020.101604

  • Lee, C., Kogler, D.F., & Lee, D.* (2019). Capturing Information on Technology Convergence, International Collaboration, and Knowledge Flow from Patent Document: A Case of Information and Communication Technology. Information Processing & Management. 56(4), 1576-1591. doi:1016/j.ipm.2018.09.007

  • Kim, E.H.W.* & Lee, C. (2019). Does Working Long Hours Cause Marital Dissolution? Evidence from the Reduction in South Korea’s Workweek Standard. Asian Population Studies. 15(1), 87-104. doi:1080/17441730.2019.1565131

  • Kim E.H.W.*, Lee, C., & Do, Y.K. (2019). The Effect of Adult Children’s Working Times on Visiting with Elderly Parents: A Natural Experiment in Korea. Population Research and Policy Review. 38(1), 53-72. doi:1007/s11113-018-9486-0

    • Featured in: Straits Times, Lianhe Zaobao (In Chinese)

  • Lee, C.* & Hwang, J. (2018). The Influence of Giant Platform on Content Diversity. Technological Forecasting and Social Change. 136, 157-165. doi:1016/j.techfore.2016.11.029

  • Kim, E.H.W.*, Lee, C., & Do Y.K. (2018). The Effect of a Reduced Statutory Workweek on Familial Long-Term Care in Korea. Journal of Aging and Health. 30(10), 1620-1641. doi:1177/0898264318797469

    • Poster Session Winner, 2018 Population Association of America Conference

  • Lee, C. & Kim, H.* (2018). The Evolutionary Trajectory of ICT Ecosystem: A Network Analysis based on Media User Data. Information & Management. 55(6), 795-805. doi:1016/j.im.2018.03.008

    • Best Paper Award, 2015 Korea Media Panel Conference

  • Lee, C., Shin, J., & Hong, A.* (2018). Does Social Media Use Really Make People Politically Polarized? Direct and Indirect Effects of Social Media Use on Political Polarization. Telematics and Informatics. 35(1), 245-254. doi:1016/j.tele.2017.11.005

  • Na, H.S., Lee, D., Hwang, J., & Lee, C.(2018). Research on the Mutual Relations between ISP and ASP Efficiency Changes for the Sustainable Growth of Internet Industry. Applied Economics. 50(11), 1238-1253. doi:1080/00036846.2017.1358443

  • Lee, C., Kim, J.H., & Lee, D.* (2017). Intra-industry Innovation, Spillovers, and Industry Evolution: Evidence from the Korean ICT industry. Telematics and Informatics. 34(8), 1503-1513. doi:1016/j.tele.2017.06.013

  • Lee, C., Jung, S., & Kim, K.O.* (2017). Effect of a Policy Intervention on Handset Subsidies on the Intention to Change Handsets and Households’ Expenses in Mobile Telecommunications. Telematics and Informatics. 34(8), 1524-1531. doi:1016/j.tele.2017.06.017

  • Lee, C., Kim, H., & Hong, A.* (2017). Ex-post Evaluation of Illegalizing Juvenile Online Game after Midnight: A Case of Shutdown Policy in South Korea. Telematics and Informatics. 34(8), 1597-1606. doi:1016/j.tele.2017.07.006

  • Lee, C., Lee, K., & Lee, D.* (2017). Mobile Healthcare Applications and Gamification for Sustained Health Maintenance. 9(5), 772. doi:10.3390/su9050772

  • Lee, C., Lee, D.*, & Hwang, J. (2015). Platform Openness and the Productivity of Content Providers: A meta-frontier analysis. Telecommunications Policy. 39(7). 553-562. doi:1016/j.telpol.2014.06.010


Korean Citation Index (KCI) Journals

  • Choi, M. & Lee, C.* (2022). The effect of Online Community Activities in Non-face-to-face Situations on Life Satisfaction : Focusing on the Comparison between Before(2017) and After(2021) COVID-19. Information Society & Media. 23(3), 83-124. https://doi.org/52558/ISM.2022.12.23.3.83

  • Yeom, J., Lee, S., & Lee, C.* (2022). Analysis of the Characteristics of Extreme Patriotism and Psychological Motives by Understanding the Cyber Conflict Between Chinese Fandom Patriotism and Hallyu Fandom. Journal of Cybercommunication Academic Society. 39(4). 5-49. https://doi.org/10.36494/JCAS.2022.12.39.4.5

  • Kang, S., Seo, Y., & Lee, C.* (2022). A Study of the Development of Sectoral Digital Transformation Conflict Indicator. Information Society & Media. 23(1), 41-68. https://doi.org/52558/ISM.2022.04.23.1.41

    • Best Paper Award, 2022 Korea Media Management Association

  • Kim, K., Lee, J., & Lee, C.* (2021). Exploratory Analysis of Knowledge Structure and Evolutionary Trajectory in Korean Artificial Intelligence for Effective Technology Policy. Korean Innovation Study, 16(3). DOI:https://doi.org/10.46251/INNOS.2021.8.16.3.139

  • Jo, H., Oh, M., Shin, J.*, & Lee, C. (2021). Identifying Fake news in the Disastrous situations: Video versus Text. Journal of Cybercommunication Academic Society, 38(2).  DOI: https://doi.org/10.36494/JCAS.2021.06.38.2.83

  • Roh, T., Jo, G., & Lee, C.* (2021). Coincidence Analysis with International Patent Classification (IPC) Network of US ICT Companies: Focusing on Technology Similarity and Application. Korean Innovation Study, 16(2).  doi:https://doi.org/10.46251/INNOS.2021.5.16.2.237

  • Lee, C., Woo, H.J., & Park, S.B. (2020). Factors of newly entering into the purchase on TV home-shopping: Random Forest Analysis based on users’ media repertoire data. Korean Innovation Study, 15(2), 113-149. doi:https://doi.org/10.46251/INNOS.2020.05.15.2.113

  • Kim, M.K., Lee, C., & Hong, A. (2016). The Analysis of Media Usage Pattern for Effective Diffusion of Information. Information Society & Media. 17(1). 77-113. doi:https://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE06667546


Book chapters

  • Lee, C. & Bae, Y. (2019). Development of Information Communication Technology Industry and Public Policy in South Korea, In Ahn, M.J., & Kim, Y. (Eds.), Public Administration and Public Policy in Korea. Springer. Doi: https://doi.org/10.1007/978-3-319-31816-5_3801-1