• Seongbeom Kim, Woosik Shin and Hee-Woong Kim, "Do Loyal Customers Lead to Higher Purchases? The Role of Browsing Patterns in E-Commerce" Post-ICIS KrAIS Research Workshop, Bangkok, Thailand, December 2024. 

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• Seongbeom Kim, Jaehui Kim and Hee-Woong Kim, "Decoupled Multiview Learning Framework for Retail Demand Forecasting: Capturing Local and Global Patterns in Distribution Channels" 한국경영정보학회 추계학술대회, November 2024. 

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• Seongbeom Kim, Jaehui Kim and Hee-Woong Kim, "Enhancing Retail Demand Forecasting: A Decoupled Framework for Multiview Learning" Workshop on Information Technologies and Systems (WITS), December 2024.

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• Xiaowen Feng, Seongbeom Kim, Zhiyi Chen and Hee-Woong Kim "Exploring the experience factors of Chinese tourists visiting Seoul and Tokyo: A mixed methodology of text mining and interviews" Asia Pacific Journal of Information Systems, 2024/6. (Link)

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• Seongbeom Kim, Woosik Shin and Hee-Woong Kim, "Are Loyal Customers Always More Likely to Buy on the Platform? Moderating Role of Browsing Pattern" Pacific-Asia Conference on Information Systems (PACIS), Ho Chi Minh, Vietnam, July 2024. (Link) (Best Short Paper Nominees)

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• Seongbeom Kim, Woosik Shin and Hee-Woong Kim, "From Browsing to Buying: Unraveling the impact of Browsing Pattern on E-Commerce Platform," 한국경영정보학회 춘계학술대회, 2024/05.

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• 김재희, 양수영, 진지이, 김성범, 김희웅 "이커머스 환경에서의 수요예측 프레임워크 개발: 생성형AI를 중심으로", 한국경영정보학회 춘계학술대회, 2024/05.

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• 김성범, 양수영, "고객의 프로 파일과 추천 시스템을 결합한 생성형 AI 카피라이팅(Copywriting) 초개인화 서비스", 한국지식경영학회 추계학술대회 대학(원)생 아이디어 공모전, 2023/12. (장려상)

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• 김성범, 김재희, 이주현, 진지이, "생성형 AI를 결합한 수요 예측 프로세스 결과 보고서 작성 솔루션", 한국경영정보학회 추계학술대회 생성형 AI 아이디어 부문, 2023/11. (우수상)

 

• Seongbeom Kim, Woosik Shin, and Hee-Woong Kim, "Predicting Online Customer Purchase: The Integration of Customer Characteristics and Browsing Patterns," Decision Support Systems (DSS), 2024/2, 17, 114105. (Link)

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• KyungSung Lee, SeongBeom Kim, and Hee-Woong Kim, "Enhanced Anomaly Detection in Manufacturing Processes through Hybrid Deep Learning Techniques," IEEE Access, 5, 2023/9 , pp. 93368-93380.(Link)

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• Minsu Kim, Woosik Shin, SeongBeom Kim, and Hee-Woong Kim, "Predicting Session Conversion on E-commerce: A Deep Learning-based Multimodal Fusion Approach," Asia Pacific Journal of Information Systems (APJIS),Vol. 33 No.3, Sept.2023, pp.737-767. (Link)

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• Seong Beom Kim and Hee-Woong Kim, "Predicting Customer’s Purchase Stages with an Information Overload Perspective: Integrating Information Foraging Theory and Entropy Approach," IEEE International Conference on Knowledge Innovation and Invention (ICKII), Sapporo, Japan, 2023/08.
   

• 풍효문, 김성범, 김희웅, "Elevating Tourism in South Korea Enhancing the Tourist Experience in Seoul and Jeju," 한국경영정보학회 춘계학술대회, 2023/06.
   

• SeongBeom Kim, and Woosik Shin, “What is the purpose of the visit? A Deep Learning based Purchase Prediction Using Customer Characteristics and Browsing patterns”, International Conference on Innovation and Management (IAM), Sapporo, Japan, Feb 2023

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• 김효중, 김성범, 김희웅 "고객의 투자상품 선호도를 활용한 금융상품 추천시스템 개발", Information Systems Review, 25(1), 2023/2, pp.111-128. (Link)

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• SeongBeom Kim, and Woosik Shin, “A Deep Learning-based Purchase Prediction Using Customer Characteristics and Browsing Patterns”, International Conference on Business and Information Management (ICBIM), Webinar, Aug 2022
   

• 김성범, 김가혜, 김성수, 배준호, "반려동물 질병 진단 정보 중심의 인공지능(AI) 통합 서비스", 경영정보관련학회 춘계통합학술대회 아이디어 부문, 2022/06. (최우수상)
   

• Jitae Kim and Seongbeom Kim, "Unraveling the relationship between customer experience and satisfaction in online grocery shopping", International Conference on Economics, Business, Tourism & Social Sciences(ICEBTS),Webinar, Feb 2022

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• Jitae Kim and Seongbeom Kim, "A Topic Modeling Approach to the Analysis of Customer Experience",International Conference on Innovation and Management (IAM), Webinar, Jan 2022

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• Seongbeom Kim, and Woosik Shin, "Predicting purchase behavior using customer browsing behavior and customer value" International Conference on E-Education, E-Business, E-Management, and E-Learning (IC4E), Osaka Japan, January 2022.

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• 김성범, 배준호, "앙상블 모델 개발을 통한 수출액 예측과 클러스터링 기반 유망 시장 추천", 한국지능정보시스템학회 추계학술대회, 2021/12.

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• 김성범, 배준호, "수출액 예측을 통한 수출 유망 국가 및 품목 추천 :: 앙상블 모형과 클러스터링을 활용한 기업 선호도 반영 추천 솔루션", 산업통상자원부 주최 제 9회 공공데이터 활용 비즈니스 아이디어 공모전 빅데이터 분석 부문, 2021/8, (대상)

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• 김성범,  "인천광역시 지방세 체납 효율화를 위한 빅데이터 분석 :: 체납자 예측과 악성 체납유형 중심으로", 공공 빅데이터 청년인턴십 우수인턴 한국지능정보화사회원장상, 2021/2. (우수상)

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• 김성범,배준호  외 7명, "응급의료 전용헬기를 위한 서울시 인계점 입지 분석", 서울특별시 빅데이터 캠퍼스 공모전, 2020/11. (최우수상)​​