경영정보학과

BBA: Major in Management Science at The University of Georgia, USA

MS Major in Information Technology at George Washington University, USA

"Information Technology", 2004

경영대학 우수 연구자상 연구비 분야 수상(2023.5)

1997. 03 ~ Present: Professor, Dongguk Business School (Teaching courses: Information Technology, MIS, Data Communication )

§ "Local Emergency Response Planning", 2010, MKE
§ "National Disaster Prevention Criteria Research",2010 , NEMA
§ "Effective Modeling on Disaster Resource Allocation", 2008.06, Disaster Prevention

"Research on Effective KMS implementation", 2007. 06 International e-Business
"Disaster of Telecommunication", 2006. 02.01 Korea Telecommunication Journal

BBA : Chung-Ang University

ME : KAIST (Management Information Systems)

Seo, Y., Park, J., Kim, J., Lee, K., Kim, K., Management Information Systems on e-Business Era, Hankyung Publishing, Seoul, Korea, 2007. (In Korean)

Kim, S., Kim, K., Kim, C.S., Kim, M., Kim, Y.S., Customer Relationship Management in Ubiquitous Computing Era, Hyungseol Publishing, Seoul, Korea, 2004. (In Korean)

• 현, 정보처장
• 2003 ~ Present : Associate Professor, Dongguk Business School

Kim, K., & Ahn, H., "Simultaneous optimization of artificial neural networks for financial forecasting", Applied Intelligence, Forthcoming.
Shin, K., & H., Kim, K., "Evolving profitable trading rules with genetic algorithms", Information Jorunal, Forthcoming.
Kim, K., & Ahn, H., "A corporate credit rating model using multi-class support vector machines with an ordinal pairwise partitioning approach", Computers & Operations Research, Vol. 39, No. 8, pp. 1800-1811, 2012.
Kim, K., & Ahn, H., "Optimization of support vector machines for financial forecasting", Journal of Intelligence and Information Systems, Vol. 17, No. 4, pp. 241-254, 2011.
Kim, K., & Ahn, H., "Collaborative filtering with a user-item matrix reduction techniques for recommender systems", International Journal of Electronic Commerce, Vol. 16, No. 1, pp. 113-135, 2011.
Kim, K., & Ahn, H., "Customer level classification model using ordinal multiclass support vector machines", Asia Pacific Journal of Information Systems, Vol. 20, No. 2, pp. 23-37, 2010.
Heo, J., Kim, K., & Han, I., "Market timing using rough set analysis", Journal of Intelligence and Information Systems, Vol. 16, No. 3, pp. 77-97, 2010. (In Korean)
Lee, S., & Kim, K., "Using case-based reasoning for the design of controls for Internet-based information systems", Expert Systems with Applications, Vol. 36, No. 3, pp. 5582-5591, 2009.
Ahn, H., & Kim, K., "Corporate bond rating using several multi-class SVMs", Asia-Pacific Journal of Information Systems, Vol.19, No.2, pp. 157-178, 2009. (In Korean)
Ahn, H., & Kim, K., "Bankruptcy prediction modeling with hybrid case-based reasoning and genetic algorithms approach", Applied Soft Computing, Vol. 9, No.2, pp. 599-607, 2009.
Kim, K., & Ahn, H., "User-Item Matrix Reduction Technique for Personalized Recommender Systems", Journal of Information Technology Application & Management, Vol.16, No.1, pp. 97-113, 2009. (In Korean)
Ok, J., & Kim, K., "Integrated corporate bankruptcy prediction model using genetic algorithms", Journal of Intelligence and Information Systems, Vol. 15, No. 4, pp. 99-121, 2009. (In Korean)
Ahn, H., & Kim, K., "Global optimization of case-based reasoning for breast cytology diagnosis", Expert Systems with Applications, Vol. 36, No. 1, pp. 724-734, 2009.
Ahn, H., Kim, K., & Han, I., "Using genetic algorithms to optimize nearest neighbors for data mining", Annals of Operations Research, Vol. 163, No.1, pp. 5-18, 2008.
Kim, K., & Ahn, H., "A recommender system using GA K-means clustering in an online shopping market", Expert Systems with Applications, , Vol.34, No.2, pp. 1200-1209, 2008.
Lee, S. & Kim, K., "Factors affecting the implementation success of Internet-based information systems", Computers in Human Behavior, Vol.23, No.4, pp. 1853-1880, 2007.
Ahn, H., Kim, K., & Han, I., "A case-based reasoning system with the two-dimensional reduction technique for customer classification", Expert Systems with Applications, Vol.32, No.4, pp. 1011-1019, 2007.
Ahn, H, & Kim, K., "Multiclass SVM model with order information", International Journal of Fuzzy Logic and Intelligent Systems, Vol.6, No.4, pp.331-334, 2006.
Ahn, H., Kim, K., & Han, I., "Hybrid genetic algorithms and case-based reasoning systems for customer classification", Expert Systems, Vol.23, No.3, pp. 127-144, 2006.
Kim, K., "Artificial neural networks with evolutionary instance selection for financial forecasting", Expert Systems with Applications, Vol. 30, No. 3, pp. 519-526, 2006.
Ahn, H., Kim, K., & Han, I., "Location-based advertisement recommendation model for customer relationship management under the mobile communication environment", The Journal of MIS Research, Vol.16, No.4, pp. 239-254, 2006.
Ahn, H., Kim, K., & Han, I., "Bond rating model for Korean companies using multiclass support vector machines",The Journal of Management Research, Vol. 35, No. 5, pp.1479-1496, 2006. (In Korean)
Ahn, H., Han, I., & Kim, K., "Product recommender systems using hybrid association and classification model", Information Systems Review, Vol.8, No.1, pp.181-201, 2006. (In Korean)
Kim, K., Ahn, H., & Han, I., "Optimization of case-based reasoning systems using genetic algorithms: Applications to Korean stock market", The Journal of MIS Research, Vol.16, No.1, pp.71-84, 2006. (In Korean)
Kim, K., & Kim, B.K., "Product recommender systems for online shopping market using data mining techniques",Journal of Korea Intelligent Information Systems Society, Vol.11, No.1, 2005. (In Korean)
Ahn, H., Kim, K., & Han, I., "Customer classification model suing support vector machines", Journal of Korea Intelligent Information Systems Society, Vol.11, No.3, 2005. (In Korean)
Kim, K., & Ahn, H., "Web-based intelligent recommender systems using advanced data mining techniques", Journal of Information Technology Applications & Management, Vol. 12, No.3, pp.41-56, 2005. (In Korean)
Kim, K., & Ahn, H., "Hybrid Case-based Reasoning and Genetic Algorithms Approach for Customer Classification", International Journal of Maritime Information and Communication Sciences, Vol.3, No.4, pp.209-212, 2005.
Kim, K., "Toward global optimization of case-based reasoning systems for financial forecasting", Applied Intelligence, Vol. 21, No. 3, pp. 239-249, 2004.
Kim, K., "Artificial neural networks with feature transformation based on domain knowledge for the prediction of stock index futures", Intelligent Systems in Accounting, Finance & Management, Vol. 12, No. 3, pp. 167-176, 2004.
Kim, K. & Lee, W.B., "Stock market prediction using artificial neural networks with optimal feature transformation", Neural Computing & Applications, Vol. 13, No. 3, pp. 255-260, 2004.
Kim, K., "Financial forecasting using support vector machines", Neurocomputing, Vol. 55, No. 1-2, pp. 307-319, 2003.
Kim, K. & Han, I., "Application of a hybrid genetic algorithm and neural network approach in activity-based costing", Expert Systems with Applications, Vol. 24, No. 1, 73-77, 2003.
Oh, K.J. & Kim, K., "Analyzing stock market tick data using piecewise nonlinear model", Expert Systems with Applications, Vol. 22, No. 3, pp. 249-255, 2002.
Chun, S.H., Kim, K. & Kim, S.H., "Chaotic analysis of predictability versus knowledge discovery techniques: case study of the Polish stock market", Expert Systems, Vol. 19, No. 5, pp. 264-272, 2002.
Oh, K.J. & Kim, K., "Piecewise nonlinear model for financial time series forecasting with artificial neural networks", Intelligent Data Analysis: An International Journal, Vol. 6, No. 2, pp. 175-185, 2002.
Kim, K. & Han, I., "Maintaining case-based reasoning systems using a genetic algorithms approach", Expert Systems with Applications, Vol. 21, No. 3, pp. 139-145, 2001.
Kim, K. & Han, I., "The extraction of trading rules from stock market data using rough sets", Expert Systems, Vol. 18, No. 4, pp. 194-202, 2001.
Kim, K. & Han, I., "Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index", Expert Systems with Applications, Vol. 19, No. 2, pp. 125-132, 2000.

Ahn, H., Kim, K., & Han, I., "Global optimization of support vector machines using genetic algorithms", Lecture Notes in Computer Science, Vol. 4234, pp.420-429, 2006.
Kim, K. & Ahn, H., "Using clustering genetic algorithm to support customer segmentation for personalized recommender systems", Lecture Notes in Artificial Intelligence, Vol. 3397, pp. 409-415, 2005.
Ahn, H., Kim, K. & Han, I., "Hybrid genetic algorithms and case-based reasoning systems", Lecture Notes in Computer Science, Vol. 3314, pp. 922-927, 2004.

B.S., Seoul National University

M.S., Purdue University

Dongguk University, Assistant Professor, 2022-present
Assistant Professor of Management Information System, Korea University, Sejong (March 2016 – August, 2022)

Kwon, Soyeon, and Albert Park (2023). Examining thematic and emotional differences across Twitter, Reddit, and YouTube: The case of COVID-19 vaccine side effects. Computers in Human Behavior, 144, 107734.

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.

B.S., Ulsan National Institute of Science and Technology

Dongguk University, Assistant Professor, 2024.09.–present
Korea University, Postdoctoral Researcher, 2024.03.–2024.08.

- 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.

동국대학교 경영학

KAIST 경영정보학

IT기반의 비즈니스 혁신, 경영사례분석

경영혁신을 위한 생성형 AI 이해와 활용, 십일프로(11%), 2024
생성형 AI로 여는 교육의 미래, 한국기술교육대학교 출판부, 2024
AI와 데이터 분석 기초, 박영사, 2024

한국경영학회 융합학술대회, 우수논문상, 2024
경영정보학연구 상반기 발행논문 최우수 논문상, 2023
한국지능정보시스템학회 춘계학술대회, 최우수 논문상, 2023

● 동국대학교, 조교수, 2025.03.-
● 한국기술교육대학교, 조교수, 2022.03-2025.02
● 스마트미디어렙, 데이터사이언스, 2019.12-2022.02
● SBSi, 서비스기획자, 2012.12-2019.12
● KTH, 서비스기획자, 2010.01-2012.12

[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]
---------
[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.