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Jeong Duk HoonProfessor
  • 연락처
    (02)2260-3825
  • E-mail
    duke@dongguk.edu
  • 교수연구실
    L502
  • Academic background
    Ph.D. in Management Information System, George Washington University
  • Major area
    Management Information System
  • Detail research field
    Disaster Infromation Management, Data Communication
Kim, Kyoung-jaeProfessor
  • 연락처
    (02)2260-3324
  • E-mail
    kjkim@dongguk.edu
  • 교수연구실
    L504
  • Academic background
    Ph.D. in Management Engineering, KAIST
  • Major area
    Management Information Systems
  • Detail research field
    Business Intelligence, Data Mining
Kwon Soyeon Professor
  • 연락처
    02-2260-3292
  • E-mail
    miskwon@dongguk.edu
  • 교수연구실
    L415
  • Academic background
    Purdue University, Consumer Science
  • Detail research field
    Psychological aspects of Human-Computer Interaction, Social Media Data Analytics
  • B.S.
    B.S., Seoul National University
  • M.S.
    M.S., Purdue University
  • Ph.D.
    Ph.D., Purdue University
  • 경력
    - Dongguk University, Assistant Professor, 2022-present
    - Assistant Professor of Management Information System, Korea University, Sejong (March 2016 – August, 2022)
  • 연구업적
    Kwon, Soyeon, and Albert Park (2022), “Understanding user responses to the COVID-19 pandemic on Twitter from a terror management theory perspective: Cultural differences among the US, UK and India,” Computers in Human Behavior, 128, 107087.

    Kwon, Soyeon, and Sejin Ha (2022), “Examining identity-and bond-based hashtag community identification: the moderating role of self-brand connections,” Journal of Research in Interactive Marketing.

    Kwon, Soyeon (2020), “Understanding user participation from the perspective of psychological ownership: The moderating role of social distance,” Computers in Human Behavior, 105, 106207.

    Kwon, Soyeon, Sejin Ha, and Chris Kowal (2017), “How online self-customization creates identification: Antecedents and consequences of consumer-customized product identification and the role of product involvement,” Computers in Human Behavior, 75, 1-13.

    이한진, 권소연, 민대환 (2021), “모바일 식품구매 서비스 고객여정의 경험만족도에 관한 실증연구,” Journal of Information Technology Applications & Management, 28(4), 59-78.

    권소연 (2019), “온라인 맞춤 서비스가 소비자의 상품에 대한 동일시 인식에 미치는 영향,” 한국IT정책경영학회논문지, 11(3), 1239-1254.

    권소연, 범설 (2019), “블랙보드에 대한 교수의 심리적 주인의식이 블랙보드의 만족도와 교수 효능감에 미치는 영향,” 한국IT정책경영학회논문지, 11(6), 1465-1471.
Gyu Min LeeProfessor
  • 연락처
    02-2260-3841
  • E-mail
    gyuminlee@dgu.ac.kr
  • 교수연구실
    L429
  • Academic background
    Ulsan National Institute of Science and Technology
  • Detail research field
    Data analytics, Natural language processing, Technology management, Intelligent manufacturing systems
  • B.S.
    B.S., Ulsan National Institute of Science and Technology
  • Ph.D.
    Combined M.S.-Ph.D., Ulsan National Institute of Science and Technology
  • 경력
    Dongguk University, Assistant Professor, 2024.09.–present
    Korea University, Postdoctoral Researcher, 2024.03.–2024.08.
  • 연구업적
    - Gyumin Lee, Sungjun Lee, and Changyong Lee, 2023. Inventor–licensee matchmaking for university technology licensing: A fastText approach. Technovation, 125, p.102765.
    - Gyumin Lee, Daeil Kwon, and Changyong Lee, 2023. A convolutional neural network model for SOH estimation of Li-ion batteries with physical interpretability. Mechanical Systems and Signal Processing, 188, p.110004.
    - Juram Kim, Gyumin Lee, Seungbin Lee, and Changyong Lee, 2022. Towards expert–machine collaborations for technology valuation: An interpretable machine learning approach. Technological Forecasting and Social Change, 183, p.121940.
    - Gyumin Lee, Juram Kim, and Changyong Lee, 2022. State-of-health estimation of Li-ion batteries in the early phases of qualification tests: An interpretable machine learning approach. Expert Systems with Applications, 197, p.116817.
    - Gyumin Lee, Seung Jun Lee, and Changyong Lee, 2021. A convolutional neural network model for abnormality diagnosis in a nuclear power plant. Applied Soft Computing, 99, p.106874.
    - Jae Min Kim, Gyumin Lee, Changyong Lee, and Seung Jun Lee, 2020. Abnormality diagnosis model for nuclear power plants using two-stage gated recurrent units. Nuclear Engineering and Technology, 52(9), p.2009–2016.
    - Gyumin Lee, Daejin Kim, and Changyong Lee, 2020. A sequential pattern mining approach to identifying potential areas for business diversification. Asian Journal of Technology Innovation, 28(1), p.21–41.
    - Changyong Lee and Gyumin Lee, 2019. Technology opportunity analysis based on recombinant search: patent landscape analysis for idea generation. Scientometrics, 121(2), p.603–632.
    - Changhun Lee and Gyumin Lee, 2024. Repurformer: Transformers for repurposing-aware molecule generation. In Language and Molecules ACL 2024 (Oral).
    - Changhun Lee, Gyumin Lee, and Chiehyeon Lim, 2018. Development of a context-aware serendipitous recommender system. In INFORMS Annual Meeting 2018.
    - 박정원, 이규민, 전대성, 최재웅, 이창용, 2024. 언어모델과 공공부문 행정혁신: 개념, 접근법 및 고려 사항. 정부학연구, 30(1), 35-88.
    - 이규민, 이창용, 2024. Seek your fortune!: Technological impact-guided technology opportunity analysis using generative-predictive machine learning models. 2024 기술경영경제학회 동계학술대회.
    - 이규민, 이창헌, 2021. 약물 재창출 가능성을 고려한 생성 및 예측 모델 기반 신약후보물질 발굴 방법론 개발. 2021 대한산업공학회-한국경영과학회 춘계공동학술대회.
Sang-Hyeak YoonProfessor
  • 연락처
    02-2260-3842
  • E-mail
    yoonsh@dongguk.edu
  • 교수연구실
    L510
  • Academic background
    Ph.D. in Information Systems, Graduate School of Information, Yonsei University
  • Major area
    Artificial Intelligence, Management Information Systems
  • Detail research field
    Generative AI, Artificial Intelligence, Big Data, Online Advertising, IT Services
  • B.S.
    B.B.A. in Business Administration, Dongguk University
  • M.S.
    M.S. in Management Information Systems, KAIST
  • Ph.D.
    Ph.D. in Information Systems, Graduate School of Information, Yonsei University
  • 대표 저서
    Yoon, S. H., Yang, S. B., & Lee, S. H. (2025). Comprehensive examination of the bright and dark sides of generative AI services: A mixed-methods approach. Electronic Commerce Research and Applications, 101491. [First author]
    Lee, J. Y., Kim, B., & Yoon, S. H. (2024). A conceptual digital policy framework via mixed-methods approach: Navigating public value for value-driven digital transformation. Government Information Quarterly, 41(3), 101961. [Corresponding author]
    Kim, S., Lee, J., Yoon, S.-H., & Kim, H.-W. (2023). "How Can We Achieve Better e-Learning Success in the New Normal?," Internet Research, 33(1), 410-441. [Corresponding author]
    Yoon, S.-H., Park, G.-Y., & Kim, H.-W. (2022). "Unraveling the Relationship between the Dimensions of User Experience and User Satisfaction: A Smart Speaker Case," Technology in Society, 71, 102067. [First author]
  • 수상 내역
    한국경영학회 융합학술대회, 우수논문상, 2024
    경영정보학연구 상반기 발행논문 최우수 논문상, 2023
    한국지능정보시스템학회 춘계학술대회, 최우수 논문상, 2023
  • 경력
    Assistant Professor, Dongguk University (Mar. 2025 – Present)
    Assistant Professor, Korea University of Technology and Education (Mar. 2022 – Feb. 2025)

    Data Scientist, Smart Media Rep (Dec. 2019 – Feb. 2022)
    Service Planner, SBSi (Dec. 2012 – Dec. 2019)
    Service Planner, KTH (Jan. 2010 – Dec. 2012)
  • 연구업적
    [SSCI/SCIE]
    Yoon, S. H., Yang, S. B., & Lee, S. H. (2025). Comprehensive examination of the bright and dark sides of generative AI services: A mixed-methods approach. Electronic Commerce Research and Applications, 101491. [First author]
    Lee, J. Y., Kim, B., & Yoon, S. H. (2024). A conceptual digital policy framework via mixed-methods approach: Navigating public value for value-driven digital transformation. Government Information Quarterly, 41(3), 101961. [Corresponding author]
    Kim, S., Lee, J., Yoon, S.-H., & Kim, H.-W. (2023). "How Can We Achieve Better e-Learning Success in the New Normal?," Internet Research, 33(1), 410-441. [Corresponding author]
    Yoon, S.-H., Park, G.-Y., & Kim, H.-W. (2022). "Unraveling the Relationship between the Dimensions of User Experience and User Satisfaction: A Smart Speaker Case," Technology in Society, 71, 102067. [First author]
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    [KCI]
    이소현, 윤상혁. (2024). 엘리베이터 TV 광고의 인지 및 효과에 관한 연구: 실험적 접근과 EEG 분석. 지식경영연구, 25(3), 253-278.
    양지훈, 양성병, 윤상혁. (2023). 생성형 AI 서비스의 성공요인에 대한 탐색적 연구: 텍스트 마이닝과 ChatGPT 를 활용하여. 경영정보학연구, 25(2), 125-144.
    김나경, 양성병, 윤상혁. (2022). 라이브 커머스 및 쇼호스트 특성이 소비자의 충동구매가능성에 미치는 영향: 시나리오 기반 실험연구. Information Systems Review, 24(4), 77-96.