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A Study on the Research Trends in Supply Chain Management in Korea using Network Text Analysis

공급사슬관리 국내연구동향 분석: 네트워크 분석을 활용하여

  • Received : 2020.01.20
  • Accepted : 2020.01.31
  • Published : 2020.02.29

Abstract

Supply chain management (SCM) became a critical success factor for firms. As a result, researchers have carried out related research on SCM. This study aims to explore the research trends in SCM in Korea using network text analysis. We collected the information of 586 articles published in Korean journals using the RISS database, and analyzed the network generated by keywords proposed in the articles. The results showed that there are five research keyword clusters such as logistics, information systems, partnership, risk management, and sustainability.

공급사슬관리는 기업 경영의 핵심 성공요소 중 하나가 되었다. 이에 따라서 많은 연구자들이 지속적으로 공급사슬관리와 관련한 연구를 진행하였다. 본 연구에서는 지난 10년 동안 국내 학술지에 발표한 공급사슬관리 분야 연구논문을 대상으로 네트워크 텍스트 분석 방법으로 연구 동향을 분석하였다. RISS 학술 데이터 베이스에서 총 586편의 관련 논문을 검색하여 개별 연구논문의 키워드 노드를 중심으로 키워드 네트워크를 구축하여 네트워크 분석을 시행하였다. 분석결과에 따르면 지난 10년 동안 국내 공급사슬관리 연구는 물류, 정보시스템, 파트너십, 위험관리, 지속가능 분야를 중심으로 연구되었음을 확인할 수 있었다.

Keywords

References

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Cited by

  1. 키워드 네트워크 분석을 이용한 공공데이터 수요 예측 vol.27, pp.4, 2020, https://doi.org/10.22693/niaip.2020.27.4.024