학력

Ph.D. Management Engineering, Korea Advanced Institute of Science and Technology (KAIST)

주요경력

Assistant professor, Management Information Systems, Business School, Dongguk University, 2020-present
Adjunct professor, College of Business, Korea Advanced Institute of Science and Technology (KAIST), 2019-present

산업체자문활동

■ Anomaly Detection Model, Hyundai Heavy Machinary. [현대중공업] (2023)
■ Vibration Data Anomaly Detection and Prediction, HYUNDAI. [현대자동차] (2023)
■ Development of Process Optimization Algorithm, LS ELECTRIC. [LS일렉트릭] (2022)
■ AI Prediction Model Development, SK ecoplant co.,Ltd.. [SK에코플랜트] (2022)
■ Medical Image Analysis, The Catholic University of Korea Catholic Medical Center. [가톨릭대학교의료원] (2022)
■ Temperature Prediction Algorithm, HYUNDAI STEEL. [현대제철] (2022)
■ Medical Image Analysis, Dongguk University Medical Center. [동국대학교의료원] (2021)
■ Medical Image Analysis, Ewha Womans University Medical Center. [이화여대의료원] (2021)
■ Data analysis direction suggestion, Pulmuone. [풀무원] (2021)
■ Development of AI methodology for prediction, KB Financial Group. [KB금융지주] (2020)
■ Data Analysis with R, LG Household & Health care Ltd. [LG생활건강] (2019)
■ Natural Language Processing & Big Data Analysis, AfreecaTV Co., Ltd. [아프리카 TV] (2019)
■ Development of Recommender System, Samsung C&T. [삼성물산] (2017-2019)
■ Recommender System Algorithm, Hyundai Card [현대카드] (2016-2017)
■ Text Mining, Korea Institute of Science Technology Evaluation and Planning. [KISTEP 한국과학기술기획평가원] (2016)
■ Marketing Strategy using Big Data Analysis, AfreecaTV Co., Ltd [아프리카TV] (2016)
■ Customer Marketing Channel Analysis, Adobe Systems Incorporated. [어도비] (2016)
■ Used Car Price Prediction Model, Dong Wha Enterprise Corporation. [동화] (2015)
■ Big Data Analysis, Baedal Eui Minjok. [배달의 민족] (2015)
■ Recommender System using Customer Details Analysis, Samsung Life Insurance Corporation. [삼성생명] (2014)

주요논문 (특허등)

[Publications]

Ghose, A., Lee, H., Nam, K., and Oh, W. 2023. The Effects of Pressure and Self-Assurance Nudges on Product Purchases and Returns in Online Retailing: Evidence from a Randomized Field Experiment, Journal of Marketing Research, Forthcoming.

Kyeong, N., and Nam, K.* 2022. Mechanism Design for Data Reliability Improvement through Network-Based Reasoning Model, Expert Systems with Applications, 205, 117660. (*Corresponding Author)

Lee, D., Nam, K.* Han, I. and Cho, K. 2022. From Free to Fee: Monetizing Digital Content through Utility-based Business Rule Analytics, Information & Management, 59(6), 103681. (*Corresponding Author)

Nam, K.* 2022. Conversion Paths of Online Consumers: A Sequential Pattern Mining Approach, Expert Systems with Applications, 202, 117253. (*Corresponding Author)

Seong, N., and Nam, K.* 2022. Forecasting Price Movements of Global Financial Indices using Complex Quantitative Financial Networks, Knowledge-Based Systems, 235, 107608. (*Corresponding Author)

Seong, N., and Nam, K.* 2021. Predicting Stock Movements based on Financial News and Market Segmentation, Expert Systems with Applications, 164, 113988. (*Corresponding Author)

Nam, K., and Seong, N.* 2021. A Study on Influencing Factors for Customer Satisfaction and the Continuing Use of Social Network Services, 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, 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)

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.* 2018. Types of Shopping Website Navigation and Purchase Process Pattern Analysis, 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 Block-Buster Drama, Through Initial Viewing-time Pattern Analysis, Journal of Intelligent and Information Systems, 24(4), pp. 33-49.

Seong, N., and Nam, K.* 2017. 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)

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)


[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.

Nam, K., and Kim, M., Data Security Maintenance Method for Data Analysis Application, US 11,263,338 B2, Mar. 2022.

Nam, K., and Seong, N., A method for detecting abnormal motion of a robot arm based on artificial intelligence, 10-2022-0091561, 2023.

Nam, K., and Seong, N., Multimodal data processing system and electronic device in smart factory, 10-2022-0091560, 2023.

Nam, K., and Seong, N., AI-based robotic arm image data processing method, 10-2022-0091557, 2023.

Nam, K., and Seong, N., Apparatus and method for providing a smart factory behavior improvement solution, 10-2022-0091556, 2023.

Nam, K., and Seong, N., System for providing safety distance securing service using smart factory-based collaborative robot trajectory analysis, 10-2023-0030067, 2023.

Nam, K., and Seong, N., Data synchronization service provision system between vision-based collaborative robots, 10-2023-0030068, 2023.

Nam, K., and Seong, N., Mass data processing method and device, 10-2023-0038798, 2023.

Nam, K., and Seong, N., Method and apparatus for optimizing robot process having delay compensation function of deadlock point, 10-2023-0038799, 2023.

Nam, K., and Seong, N., Method and apparatus for removing vibration noise of robot arm, 10-2023-0038800, 2023.

Nam, K., and Seong, N., Motion analysis method and device of humanoid robot based on ergonomics, 10-2023-0044204, 2023.

Nam, K., and Seong, N., Robot motion analysis method and apparatus, 10-2023-0044205, 2023.

Nam, K., and Seong, N., Noise removal method and device of robot arm, 10-2023-0040913, 2023.


[Conference Proceedings & Presentations]

Socialize Less Pay More: The Link Between Virtual Network x-embeddedness and User Contributions, with Kanghyun Cho, Americas Conference on Information Systems (AMCIS), Panama City, Panama, 2023.

Who Gets the Money When the Bots Sleep: Investigating the Role of Expertise in the Cryptocurrency Market, with Kanghyun Cho and Jason Thatcher, Statistical Conference in E-Commerce Research (SCECR) 2023.

The Effects of Sludges and Nudges on Product Purchases and Returns in Online Retailing: Evidence from a Randomized Field Experiment, with Anindya Ghose, Wonseok Oh, and Heeseung Lee, Statistical Conference in E-Commerce Research (SCECR) 2023.

Designing Recommender Systems in the Presence of Social Influencers, with Angela Choi, and Chad Ho, Conference on Information Systems and Technology(CIST 2022), October, 2022.

Bless or Curse: Impact of Algorithmic Trading Bots Invasion on the Cryptocurrency Market, with Kanghyun Cho, International Conference on Information Systems (ICIS) 2022.

Bless or Curse: Impact of Algorithmic Trading Bots Invasion on the Cryptocurrency Market, with Kanghyun Cho, Statistical Conference in E-Commerce Research (SCECR) 2022.

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

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

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.

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.

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.

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.

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].

연구분야

■ Advanced Personalization Strategy based on Technical Analysis
- Curation
- Recommender system
■ Artificial Intelligence(AI)
■ Machine Learning and Deep Learning
■ Business Analytics & Business Intelligence
- Data Mining for Business Analysis
- Statistical Analysis for Business Analysis
- Application of Parallel Computing on Large Scale Business Analysis
■ Economics of IS
■ Quantitative Marketing (Econometrics Models for Marketing Decisions)
■ Big Data Analytics
■ Stock & Cryptocurrency Price Prediction (Financial Technology)
■ Blockchain, Token economy
■ NLP (Natural Language Processing)
■ Image Mining
■ Customer Behavior

Data Mining(MGT650)

Artificial Intelligence Business Strategy(MIM870)

Business Modeling Analytics(BA562)