Research

Journal 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, Forthcoming at Journal of Marketing Research.

  • 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) 

  • Yoon, S., and Nam, K.* 2022. "Information types and characteristics within the Wireless Emergency Alert in COVID-19: Focusing on Wireless Emergency Alerts in Seoul," Journal of Intelligent and Information Systems, 28(1), pp. 45-68. (*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.* 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) [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) 

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

• • Beyond automation: Unpacking the role of trading bots in shaping online cryptocurrency return, with Kanghyun Cho and Jason Thatcher, Academy of Management Proceedings(AOM) 2024.

  • 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, Workshop on Information Systems and Economics (WISE ) 2023.

  • Socialize Less Pay More: The Link Between Virtual Network 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].

Under Review (SSCI & SCI)

• • 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," Revise and Resubmit at MIS Quarterly. (*Corresponding Author)

  • 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 and 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 and Resubmit at Information & Management. (*Corresponding Author)

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

  • Nam, K., and Cho, K.* "How Do Consumers’ Online Browsing and Purchasing Behaviors Differ Across Devices: The Role of Mobile Devices throughout Customer Journey" Management Science, Under review.

  • Cho, K., and Nam, K.* " It Takes Two to Tango: Influence of user-group homogeneity on contribution decision in platform economy" Journal of Consumer Research, Under review. (*Corresponding Author)

  • Lee, B., Seong, N. and Nam, K.* "Comparison of Real-Time Cylinder P-max and IMEP Optimization ELM Prediction with Engine Data Separation Methodology," Applied Energy, 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.

  • Seong, N., and Nam, K.* "Forecasting Price Movements of Global Financial Indices using Complex Quantitative Financial Networks," Decision Support Systems, Under review. (*Corresponding Author)

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

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

  • Cho, K., and Nam, K.* " When Loyalty Does Not Help: Understanding the Motivation for Contribution in a Virtual World" Journal of Business Research, Under review. (*Corresponding Author)

  • Lee, S., and Nam, K.* "Recommendation Technique for Comparative Sizing based on User Feedback in E Commerce," International Journal of Industrial Ergonomics, Under review. (*Corresponding Author)

  • Song, C., and Nam, K.* "The Effect of Media SNS on Product Prices Sensitively Changed by Consumers rather than Fixed Prices: The Case of Automobile Market," Journal of Strategic Marketing, Under review. (*Corresponding Author)

  • Choi, K., and Nam, K.* "Online Purchase Intent Prediction Utilizing Shopping Visit Types," Business and Information Systems Engineering, Under review. (*Corresponding Author)

  • Nam, K.*, and Yun, J. "Conversion Paths of Online Consumers: A Sequential Pattern Mining Approach," Data Mining and Knowledge Discovery, Under review. (*Corresponding Author)

  • Lee, N., and Nam, K.* "Forecasting of stock prices based on blue-chip keyword dictionary of news articles," Statistical Analysis and Data Mining, Under review. (*Corresponding Author)

Manuscripts in preparation for submission

• • Context-Dependent Preferences and Image-Based Deep-Learning Recommendations, with Wonseok Oh and Heeseung Andrew Lee, Working Paper, In preparation for submission to Information Systems Research, 2023.

  • Randomized Field Experiment on Correcting Risk Misperception in p2p Lending Platform, with Guangzhi Shang, Aerry Angela Choi and Hyunji So, in progress, In preparation for submission to Information Systems Research, 2023.

  • Straight-up or Made-up? The Impact of Bare-Face Exposure on Cosmetics Sales in Influencer Marketing, with Yi-Chun (Chad) Ho and Aerry Angela Choi, Working Paper, In preparation for submission to Marketing Science, 2023.

  • Impact of Video Mining Recommender Systems on Social Influencers, with Yi-Chun (Chad) Ho and Aerry Angela Choi, Working Paper, In preparation for submission to Management Science, 2023.

  • The Impact of Online Marketing Channels According to Various Contextual Factors on Product Selection, with Jeahyeon Ahn, Working Paper, [Doctoral Thesis] In preparation for submission to Management Science, 2023.

  • Behavior-based Recommender Systems, with Jeahyeon Ahn, in progress, [Doctoral Thesis] In preparation for submission to Decision Support Systems, 2023.

  • From Browsing to Return: The total understanding of impulsive buying in O2O environment, with Kanghyun Cho, in progress, In preparation for submission to Information Systems Research, 2023.

  • Deep learning for financial distress prediction considering individual effect and complex system, with Nohyoon Seong, in progress, In preparation for submission to Information Systems Research, 2023.

  • Predicting stock movements based on financial news with Random Matrix Theory, with Nohyoon Seong, in progress, In preparation for submission to Decision Support Systems, 2023.

  • Donation vs. Advertising: Empirical Analyses on Monetization of Digital Content in Individual Broadcasting Platform, with Aerry Angela Choi, in progress, In preparation for submission to Information Systems Research, 2023.

  • Prediction of Block-Buster Drama, Through Initial Viewing-time Pattern Analysis, with Nohyoon Seong, Working Paper, In preparation for submission to Journal of Marketing, 2023. 

  • Customer Usage and Loyalty Pattern for Paid/Free Participation of Users: in Communicative Media Platform, in progress, In preparation for submission to Information Systems Research, 2023.

Doctoral Thesis

• • Behavior-based Recommender Systems using Big Data Analysis, KAIST.

    • Fields of Study

      1. Big Data Analytics [Data on the behavior of over 300 million users was analyzed] 

      2. Advanced Analytical Methodology [Statistical Analysis, Machine learning, Deep learning]

      3. Economics of IS [Econometrics Models] - Business Intelligence & Quantitative Marketing