DOI QR코드

DOI QR Code

SNA분석을 통한 AEO 인증제도 연구동향 분석에 관한 연구

A Study on the Research Trend Analysis of AEO Certification System through SNA Analysis

  • 김진욱 (인천대학교 동북아물류대학원) ;
  • 양태현 (인천대학교 동북아물류대학원) ;
  • 김동명 (인천대학교 동북아물류대학원) ;
  • 여기태 (인천대학교 동북아물류대학원)
  • Kim, Jin-Wook (Graduate School of Logistics, Incheon National University) ;
  • Yang, Tae-Hyeon (Graduate School of Logistics, Incheon National University) ;
  • Kim, Dong-Myung (Graduate School of Logistics, Incheon National University) ;
  • Yeo, Gi-Tae (Graduate School of Logistics, Incheon National University)
  • 투고 : 2019.11.28
  • 심사 : 2020.02.20
  • 발행 : 2020.02.28

초록

본 연구는 AEO 제도관련 기존연구의 연구동향 및 특징을 파악하는 것을 연구의 목적으로 하였다. 연구의 방법론으로는 SNA법에서 제시하는 연결중심성, 근접중심성, 매개중심성을 활용하였다. 키워드 네트워크 분석결과, 연결중심성 결과에서는 "MRA", "Logistics Security"가, 근접중심성 결과에서는 "MRA", "Logistics Security"가 그리고 매개중심성 분석 결과, "AEO 활용혜택", "신뢰성"이 상위 키워드 결과값으로 도출되었다. 또한 기간별 중심성 차이분석를 통하여 특정시점을 기준으로 연구의 동향이 바뀌어 왔음을 확인하였다. 본 연구는 AEO 제도에 대한 키워드 네트워크 분석을 통하여 전 세계적인 연구 동향을 제시하였다는 점에서 연구의 시사점이 있다.

The purpose of this study was to identify the research trends and characteristics of existing research related to the AEO system. The methodology of the study was to utilize the Degree Centrality, Closeness Centrality and Betweenness Centrality presented by the Social Network Analysis (SNA). Keyword network analysis results showed that "MRA", "Logistics Security" were derived from the Degree Centrality results, "MRA", "Logistics Security" from the Closeness Centrality results, and, as a result of the Betweenness Centrality, "AEO Utilization Benefits" and "reliability" were derived from the top keyword results. The analysis of differences in centrality by period also confirmed that trends in research have changed based on specific time points. This study has implications for the study in that it presented worldwide research trends through keyword network analysis of the AEO system.

키워드

참고문헌

  1. D. C. Shin & H. M. Kwon. (2015). AEO MRAs as Trade Facilitation Measures: Estimating Impacts on International Trade. Korea Customs Association, 153-172.
  2. B. R. Joe, B. G. Kang & Y. J. Shin. (2014). The Analysis of the Priority of Success Factors for the Certification and Maintenance of AEO Program. Industrial Innovation Research, 30(1), 121-148.
  3. C. B. Kim & S. H. Roh. (2017). An Empirical Study on the Effects of AEO determinant factor on AEO effects and application benefits of Korean import and export enterprises. KOREA INTERNATIONAL COMMERCIAL REVIEW), 32(3), 231-250.
  4. S. H. Kwon & J. J. An. (2018). A Study on the improvement plan of AEO Post-Audit Program in Korea - Focus on the Self-Assessment -. Journal of customs and trade, 2018(5), 31-40.
  5. Korea Customs Service. (2019). AEO Certified, Required, No Longer Choice . Daejeon : Korea Customs Service.
  6. M. B. Lee & Y. R. Kim. (2015). The Effect of AEO Certification on the Performance of Logistics using Statistical Analysis In Bonded carrier. Korea Logistics Review, 25(3), 25-37. DOI : 10.17825/klr.2015.25.3.25
  7. C. B. Kim & S. H. Roh. (2017). An Empirical Study on the Effects of AEO determinant factor on AEO effects and application benefits of Korean import and export enterprises. KOREA INTERNATIONAL COMMERCIAL REVIEW), 32(3), 231-250.
  8. Den Butter, F. A., Liu, J, & Tan, Y. H. (2012). Using IT to engender trust in government-to-business relationships: The Authorized Economic Operator (AEO) as an example. Government Information Quarterly, 29(2), 261-274. DOI : 10.1016/j.giq.2011.05.004
  9. Weerth & Carsten. (2011). WCO Framework of Standards: Authorized Economic Operator (AEO) in the World, Global Trade and Customs Journal, Kluwer Law International, Alphen aan den Rijn, 6, 377-38.
  10. J. C. Kho, G. T. Jo & Y. H. Jo. (2013). A Study on Recent Research Trend in Management of Technology Using Keywords Network Analysis, Journal of Intelligence and Information Systems, 19(2), 101-123. DOI : 10.13088/JIIS.2013.19.2.101
  11. K. W. Yang. (2017). Research Trend Analysis of 'International Commerce and Information Review' Using SNA-based Keyword Network Analysis. International Commerce and Information Review, 19(1), 23-42.
  12. Tichy, N. M., Tushman, M. L. & Fombrun, C. (1979). Social network analysis for organizations. Academy of management review, 4(4), 507-519. DOI : 10.5465/amr.1979.4498309
  13. Otte, E. & Rousseau, R. (2002). Social network analysis: a powerful strategy, also for the information sciences. Journal of information Science, 28(6), 441-453. DOI : 10.1177/016555150202800601
  14. Y. H. Kim, S. W. Park & S. Y. Jeon. (2006). Analysis of the Structure of the Online Social Network, Informatization policy, 13(4), 167-185.
  15. C. B. Kim & l. S. Chung. (2015). An Empirical Study on the causal relation of AEO application and logistics Performance of AEO system. KOREA INTERNATIONAL COMMERCIAL REVIEW), 30(2), 159-179. https://doi.org/10.18104/kaic.30.2.201506.159
  16. Y. B. Kyeong & S. P. Han. (2018). A Study on the Strategic Improvement of AEO MRA for export expansion. Journal of customs and trade, 19(3), 65-88.
  17. J. S. Kim & C. S. Song. (2014). A Study to Propose Future Directions on AEO Invigoration through a Close Analysis of the Past Studies. International Commerce and Information Review, 16(1), 45-68. https://doi.org/10.15798/kaici.16.1.201402.45