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Identifying Cold Chain Management Risk Factors in Food and Medicine Using Topic Modeling

첫 페이지 보기
  • 발행기관
    한국경영정보학회 바로가기
  • 간행물
    Asia Pacific Journal of Information Systems KCI 등재 SCOPUS 바로가기
  • 통권
    제35권 제4호 (2025.12)바로가기
  • 페이지
    pp.779-801
  • 저자
    Deqi Fu, Minjeong Oh, Hyun-Soo Han, Gyoo Gun Lim, SungYong Choi
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A478162

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초록

영어
Cold chain is crucial to ensure product safety and quality, but the risk is higher than tradi-tional supply chain due to the complexity of the operation, such as the need for strict temper-ature control and reliance on specialized equipment. Therefore, implementing strategic measures to maintain temperature control, product quality, and safety while effectively managing and carefully monitoring these risk factors are essential components of cold chain management. This study focuses on exploring the potential hazards inherent in cold chain processes for perishable food and medicine products, which directly affect the quality of human life. We used web crawling techniques to meticulously collect from Google News articles that are related to cold chain risks. Using data collected from the Google News platform from January 2015 to April 2022, we leveraged latent Dirichlet allocation (LDA) topic modeling to systematically extract risk factors in the fresh food and medicine cold chains domain. We then calculated the importance of each topic based on word frequency probabilities. In doing so, we comparatively analyzed the differences and similarities of cold chain elements in the two industries and empirically validated them using non-parametric statistical techniques. The results of this study provide important insights for understanding and mitigating supply chain risks within the cold chain industry.

목차

ABSTRACT
Ⅰ. Introduction
Ⅱ. Conceptual Background
2.1. Cold Chain Risk Factors
2.2. Big Data Analysis in Supply Chain Risk Management
2.3. LDA Topic Modeling in Cold Chain Risk Studies
Ⅲ. Methodology
3.1. Data Collection and Preprocessing
3.2. Our LDA Models
Ⅳ. Result
4.1. Topic Naming
4.2. Topic Matching
Ⅴ. Discussion
5.1. Risk Factor Level Comparisons
5.2. Topic Level Comparisons
5.3. Risk Mitigation Strategy
Ⅵ. Conclusion
6.1. Theoretical and Practical Contributions
6.2. Limitations and Future Research Directions

Appendix

키워드

Supply Chain Risk Cold Chain Risk Factor LDA (Latent Dirichlet Allocation) Food Cold Chains Medicine Cold Chains

저자

  • Deqi Fu [ Ph.D. Candidate, School of Business, Hanyang University, Korea ]
  • Minjeong Oh [ Associate Professor, Global Elite Division at Yonsei University, Korea ]
  • Hyun-Soo Han [ Professor Emeritus, School of Business, Hanyang University, Korea ]
  • Gyoo Gun Lim [ Professor, MIS and the Dean of Business School, Hanyang University, Korea ]
  • SungYong Choi [ Professor, School of Business, Hanyang University, Korea ] Corresponding Author

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    한국경영정보학회 [The Korea Society of Management information Systems]
  • 설립연도
    1989
  • 분야
    사회과학>경영학
  • 소개
    이 학회는 경영정보학의 연구 및 교류를 촉진하고 학문의 발전과 응용에 공헌함을 목적으로 합니다.

간행물

  • 간행물명
    Asia Pacific Journal of Information Systems
  • 간기
    계간
  • pISSN
    2288-5404
  • eISSN
    2288-6818
  • 수록기간
    1990~2026
  • 등재여부
    KCI 등재,SCOPUS
  • 십진분류
    KDC 325 DDC 658

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