동국대학교 의료기기산업학과

교수소개

경영정보

본문

남기환 교수
직위 조교수
강의분야 Artificial Intelligence (AI), Machine learning and deep learning, Business Modeling Analytics, Statistical Decision Analysis and Forecasting
연구분야 Artificial Intelligence (AI), Business Analytics & Business Intelligence & Big Data Analytics, Recommender system, Computer Vision, NLP (Natural Language Processing)
학사학위과정 B.A., Yonsei University
석사학위과정 M.S., Korea University
박사학위과정 Ph.D., Korea Advanced Institute of Science and Technology (KAIST)
경력 Assistant professor, Business School, Dongguk University, 2020-present
Adjunct professor, KAIST College of Business, 2019 -present
연구업적

[Working Paper]

Ghose, A., Lee, H., Nam, K., and Oh, W. "Nudges vs. Sludges: Randomized Field Experiments on the Evaluation of Behavior-Influencing Mechanisms in E-Commerce," Revise & Resubmit at Journal of Marketing Research.

Lee, H., and Nam, K.* "When Machine Vision Meets Human Fashion: Effects of Human Intervention on the Efficacy of CNN-Driven Recommender Systems in Online Fashion Retail," Revise & Resubmit at Production and Operations Management. (*Corresponding Author)

Seong, N., Nam, K.* and Lee, B. "More than words: The effect of communication style on Initial Coin Offering success," Revise & Resubmit at Information & Management. (*Corresponding Author)

Nam, K.*, Choi, K. and Shin, H. "Customer Behavior Analysis in Online and Offline Multi-channel Environment," Revise & Resubmit at Electronic Commerce Research and Applications. (*Corresponding Author)

Nam, K.* "Conversion Paths of Online Consumers: A Sequential Pattern Mining Approach," Revise & Resubmit at Expert Systems with Applications. (*Corresponding Author)

Kim, D., Nam, K.*, Oh, W., and Son, Y. "Taking Action on Inaction: A Randomized Field Experiment on the Efficacy of Dual Learning-Driven Recommender Systems," Production and Operations Management, Under review. (*Corresponding Author)

Kim, J., Seong, N., and Nam, K.* "Better than Humans? The Challenge of AI in Creative Tasks: A Randomized Field Experiment on Fashion Styling" Management Science, Under review. (*Corresponding Author)

Chad, H., Choi, A., and Nam, K.* "The Power of Makeup? Unveiling the Effect of Influencer-generated Content in Beauty Industry Unveiling the Effect of Bare-face Revelation in Beauty Product Advertising," Journal of Marketing Research, Under review. (*Corresponding Author)

Nam, K., Oh, H., Oh, W*, and Seong, N. "Frame of Mind: A Validation of Attraction Effects in Recommender Systems Through A Randomized Field Experiment," In preparation for submission to MIS Quarterly.

 

[Publications]

Seong, N., and Nam, K.* 2021. "Forecasting Price Movements of Global Financial Indices using Complex Quantitative Financial Networks," Knowledge-Based Systems, Forthcoming. (*Corresponding Author)

Seong, N., and Nam, K.* 2021. "Predicting Stock Movements based on Financial News and Market Segmentation," Expert Systems with Applications, Forthcoming. (*Corresponding Author)

Nam, K., and Seong, N.* 2021. "A Study on Influencing Factors for Customer Satisfaction and the Continuing Use of Social Network Services in Financial Industry," Enterprise Information Systems, 15(3), pp. 395-419.

Im, K., Nam, K.* and Cho, H. 2020. "Towards successful business model management with analytic network process-based feasibility evaluation and portfolio management," Electronic Markets, 30, pp. 509-523. (*Corresponding Author)

Nam, K., and Seong, N.* 2019. "Financial news-based stock movement prediction using causality analysis of influence in the Korean stock market," Decision Support Systems, 117, pp. 100-112.

Park, J., and Nam, K.* 2019. "Group Recommender System for Store Product Placement," Data Mining and Knowledge Discovery, 33(1), pp. 204-229. (*Corresponding Author)

Nam, K.*, and Park, M. 2018. "Improvement of an Optimal Bus Scheduling Model based on Transit Smart Card Data," Transport, 33(4), pp. 981-992. (*Corresponding Author)

Lee, Y., and Nam, K.* 2021. "Impact of impulsiveness on mobile banking usage: Moderating effect of credit card use and mediating effect of SNS addiction," Journal of Intelligent and Information Systems, 27(3), pp. 113-137. (*Corresponding Author)

Na, H., and Nam, K.* 2020. "Application of diversity of recommender system according to user preference change," Journal of Intelligent and Information Systems, 26(4), pp. 67-86. (*Corresponding Author)

Seong, N., and Nam, K.* 2019. "Predicting stock movements based on financial news with systematic group identification," Journal of Intelligent and Information Systems, 25(3), pp. 1-17. (*Corresponding Author)

Choi, K., and Nam, K.* 2019. "Analysis of shopping website visit types and shopping pattern," Journal of Intelligent and Information Systems, 25(1), pp. 85-107. (*Corresponding Author)

Shin, H., and Nam, K.* 2018. "The Effect of Online Multiple Channel Marketing by Device Type," Information Systems Review, 20(4), pp. 59-78. (*Corresponding Author)

Nam, K., and Seong, N.* 2018. "Prediction of a hit drama with a pattern analysis on early viewing ratings," Journal of Intelligent and Information Systems, 24(4), pp. 33-49.

Seong, N., and Nam, K.* 2018. "Online News-based Stock Price Forecasting considering Homogeneity in the Sector," Journal of Intelligent and Information Systems, 24(2), pp. 1-19. (*Corresponding Author)

Park, J., and Nam, K.* 2017. "A User based Collaborative Filtering Recommender System with Recommendation Quantity and Repetitive Recommendation Considerations," Information Systems Review, 19(2), pp. 71-94. (*Corresponding Author)

Joe, Y., and Nam, K.* 2017. "SKU Recommender System for Retail Stores that Carry Identical Brands using Collaborative Filtering and Hybrid Filtering," Journal of Intelligent and Information Systems, 23(4), pp. 77-110. (*Corresponding Author) [Best Paper Award]

Seong, N., and Nam, K.* 2017. "Combining macro-economical Effects with Sentiment Analysis for Stock Index Prediction," Entrue Journal of Information Technology, 16(2), pp. 41-54. (*Corresponding Author)

 

[Conference Proceedings & Presentations]

“Deep learning for financial distress prediction considering individual effect and complex system.” Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD) Machine Learning in Finance Workshop [KDD MLF] (2021).

“Neural recommender system considering user homogeneity.” Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD) Machine Learning for Consumers and Markets Workshop[KDD MLCM] (2021).

"Better than Humans? AI challenge in Creative Tasks: Randomized Field Experiment on AI Recommender Systems," with Jooyoung Kim, and Nohyoon Seong, 2020 INFORMS Data Science Workshop, November, 2020.

"Deep learning for financial distress prediction considering individual effect and complex system," with Nohyoon Seong, 2020 INFORMS Data Science Workshop, November, 2020.

"Predicting stock movements based on financial news with systematic group identification," with Nohyoon Seong, 2020 INFORMS Data Science Workshop, November, 2020.

"Straight-up or Made-up? The Impact of Bare-Face Exposure on Cosmetics Sales in Influencer Marketing," with Angela Choi, and Chad Ho, Conference on Information Systems and Technology(CIST 2020), November, 2020.

"The Economics of Nudges and Sludges: Randomized Field Experiments on the Evaluation of Behavior-Influencing Mechanisms in E-Commerce," with Heeseung Andrew Lee, Anindya Ghose, and Wonseok Oh, Conference on Information Systems and Technology(CIST 2020), November, 2020.

"A "Falsely-Framed" Choice: A Randomized Field Experiment on the Attraction Effects in Recommender Systems," with Hyelin Oh, Wonseok Oh, and Nohyoon Seong, Conference on Information Systems and Technology(CIST 2020), November, 2020.

"Better than Humans? AI challenge in Creative Tasks: Randomized Field Experiment on AI Recommender Systems," with Jooyoung Kim, and Nohyoon Seong, Conference on Information Systems and Technology(CIST 2020), November, 2020.

"Context-Dependent Preferences and Image-Based Deep-Learning Recommendations," with Wonseok Oh, and Heeseung Lee, Workshop on Information Systems and Economics (WISE 2019), Munich, December, 2019.

"The Effects of User Competitions on Sustained Use of M-health Application," with Junetae Kim, and Kanghyun Cho, International Conference on Health Data and Information Services, December, 2019.

"On the Equilibrium between Machine Bias and Human Advice: The Economics of CNN-based Product Recommendation," with Wonseok Oh, and Heeseung Lee, AI Workshop, December, 2019.

"A "Falsely-Framed" Choice: A Randomized Field Experiment on the Attraction Effects in Recommender Systems" with Wonseok Oh, Nohyoon Seong, and Hyelin Oh, Information Systems Review Society, November, 2019. [Best Paper Award].

 

[Published Patents]

Nam, K., and Kim, M., Data Security Maintenance Method for Data Analysis Application, 10-2017-0133720, Mar. 2019.

Nam, K., Im, K. and Seong, N., Apparatus for moving makeup video section through learning, 10-2020-0098829, August. 2020.

E-mail namkh@dongguk.edu
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