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A Study on Research Trends in Korea's Smart Logistics Field by using R and its implications

R을 활용한 한국의 스마트물류 연구동향 분석과 시사점

  • Song, in-Geun (Department of International Logistics and Trade, Jeonju University)
  • 송민근 (전주대학교 경영대학 물류무역학과)
  • Received : 2021.08.31
  • Accepted : 2021.09.20
  • Published : 2021.09.28

Abstract

This study analyzed research trends on smart logistics in Korea by conducting social network analysis (SNA) using R. The purpose of this study is to enhance the understanding of the smart logistics field along with the smart logistics status and policy review, and to suggest implications and future research tasks. The analysis period and subjects were 128 academic journal papers on smart logistics-related topics over the past 10 years (2011-2020), and the results were divided into the first half (2011-2015) and the second half (2016-2020). The analysis of the study was carried out step-by-step through frequency analysis, network centrality analysis, and visualization. As a result of the study, the quantitative increase and diversification of the research field were confirmed. It was also confirmed that the concentration of research on core areas increased by increasing the proportion of duplicate keywords. In addition, keywords with high betweenness centrality and degree centrality score such as Logistics, Authentication, Smart, Service, RFID, Technology, and Revolution were presented. Lastly, this study reviewed the structure with a focus on betweenness centrality after visualizing the network with main keywords. As a result, early research was focused on the field of logistics, and after 2016, it was confirmed that the center of research was diversifying and expanding with the development of the 4th industrial revolution and major technologies.

본 연구는 R을 활용한 사회네트워크 분석(SNA)을 실시하여 국내 스마트물류에 관한 연구 동향을 분석하고 스마트물류 현황 및 정책 검토 등과 함께 스마트물류 분야에 대한 이해를 높이고 시사점을 도출하는 데 목적이 있다. 분석 기간과 대상은 지난 10년간(2011~2020년) 스마트물류 주제의 학술지 논문 128편이며, 결과는 4차 산업혁명이 공식 언급된 2016년 1월 세계경제포럼(WEF)을 기준으로 전기(2011~2015년)와 후기(2016~2020년)로 구분하고 빈도분석, 네트워크 중심성 분석, 시각화 등을 진행했다. 주요 연구결과는 연구의 양적 증가와 분야의 다양화 그리고 중복 키워드 비중의 확대로 핵심 분야에서 연구 집중도가 높아지는 것을 확인했으며, Logistics, Authentication, Smart, Service, RFID, Technology, Revolution 등 매개중심성과 연결중심성이 높은 키워드를 제시했다. 또한, 연구대상 논문의 핵심 키워드로 네트워크를 시각화한 이후 매개중심성을 중심으로 구조를 검토했으며 분석의 대상이 된 초기 연구가 물류 분야에 집중되었다면, 2016년 이후 4차 산업혁명 및 주요 기술 등으로 연구의 중심이 다양화 및 확대되고 있음을 확인했다. 분석결과와 함께 스마트 물류 동향과 국내 정책 등을 검토했으며 연구의 한계점 및 향후 연구과제를 제시했다.

Keywords

Acknowledgement

본 연구는 2020학년도 전주대학교 정착연구지원사업의 지원을 받아 수행되었음.

References

  1. K. Weise. & M. Corkery. (Aug. 17, 2021.). People Now Spend More at Amazon Than at Walmart, The New York Times.
  2. OECD. (2020). OECD Economic Outlook, The World economy on a tightrope. Paris : OECD.
  3. FKII. (2020). Untact Service Trends and implications due to COVID-19, Seoul : FKII issue report 2020-1.
  4. H. S. Bang., K. H. Lee., C. B. Lee. & S. H. Kim. (2011). Logistics Management. Seoul : crbooks.
  5. H. S. Lim. (Nov. 3, 2020.). Korea Research Institute for Human Settlements(KRIHS). Smart Logistics Center. https://library.krihs.re.kr/
  6. KOTI. (2018). Fostering and supporting new industries related to smart living logistics, Seoul : KOTI(Korea Transport Institute).
  7. Roland Berger. (2015). Industry 4.0, the role of Switzerland within a European manufacturing revolution. Zurich : Roland Berger.
  8. B. J. Park. (2012). Evolution into Smart. Logistics. Gyeongnam Development, 121, 96-111.
  9. Y. J. Min., S. J. Jeong., S. Y. Jang., B. S. Choi., S. S. Yoon., Y. J. Kim. & Y. S. Jang. (2017). Discovery and support plan for convergence logistics business in the era of logistics 4.0. Seoul : KOTI
  10. H. B. Ham. (2018). A Comparative Study on Korea & China Smart Logistics Policy. The e-Business Studies, 19(5), 171-186. https://doi.org/10.20462/tebs.2018.10.19.5.171
  11. M. S. Sim. & Y. S. Kim. (2021). A Study on the Change of Stock Index in the Shipping and Logistics Industry fter COVID-19. The Journal of shipping and logistics, 37(1), 71-90.
  12. M. G. Song. A Study on the New Retail in Post-Corona Era - Focused on the fresh food market in China and the United States. The Journal of shipping and logistics, 26(2), 325-356.
  13. Dcode EFC. (2021). Decoding the economics of COVID-19 - Sector's Performance. Cairo : Dcode EFC(Economic & Financial Consulting).
  14. M. G. Song. (2019). The Characteristics and Implications of the largest e-commerce day in the world, China's Singles Day. Journal of Digital Convergence, 18(4), 9-21. https://doi.org/10.14400/JDC.2020.18.4.009
  15. H. B. Lim. (2017). The Roles of Government and 'Failure Business' in the Fourth Industrial Revolution. Korea Policy Review, 17(3), 1-22.
  16. M. G. Song. (2020). The rapid expansion of e-commerce caused by COVID-19 and the beginning of the 4th industrial revolution. Incheon : AOCS, Incheon National University.
  17. MOEF. (Oct. 13, 2020). Regional Balanced 'New Deal' Promotion Plan with Local Regions, Ministry of Economy and Finance of Korea.
  18. MOEF. (Mar. 03, 2021). Response and development strategy of the service industry related to COVID-19, KDI(Korea Development Institute).
  19. Y. T. Park. (2015). A Study on Logistics Distribution Industry's IoT Situation and Development Direction. Management & Information Systems Review, 34(3), 141-160. https://doi.org/10.29214/damis.2015.34.3.008
  20. S. K. Lee & T. S. Jung. (2016). Smart logistics in big data era. industrial engineering magazine, 23(4), 13-20.
  21. D. H. Byun. (2019). Evaluating Usability of Mobile Applications for Smart Logistics. The Journal of the Korea Contents Association, 19(3), 10-21. https://doi.org/10.5392/JKCA.2019.19.03.010
  22. E. K. Lee. & S. Y. Lee. (2019). A Comparative Analysis on the Level of the Korean Smart Port in the Era of 4th Industrial Revolution. The Journal of shipping and logistics, 35(2), 323-348. https://doi.org/10.37059/TJOSAL.2019.35.2.323
  23. J. H. Park., J. G. Oh., D. M. Kim. & G. T. Yeo. (2019). A Study on the Establishment Direction of Smart Distribution Logistics Center in the era of the Fourth Industrial Revolution. Journal of Digital Convergence, 17(2), 59-71. https://doi.org/10.14400/JDC.2019.17.2.059
  24. C. Y. Choi. & H. G. Kim. A Study on Strategies for the Korea Smart Logistics to Enter the Chinese Market. Journal of Corporation and Innovation, 42(3), 39-60. https://doi.org/10.22778/JCI.2019.42.3.39
  25. Y. J. Son. (2020). An Evaluation of Priority in Logistics Policies for Logistics Innovation Responding to Change in Industrial Trend and Cultivation of Smart-Logistics Industry. Journal of Corporation and Innovation, 43(4), 97-109. https://doi.org/10.22778/JCI.2020.43.4.97
  26. J. H. Sung. (2021). Analysis of Research Trends in the 30 Years of 'Journal of Arbitration Studies'. Journal of Arbitration Studies, 31(2), 3-22.
  27. S. Y. Lee. & I. S. Choi. (2021). An analysis of the historical transitions and research trends of Early Childhood Education & Care journal between 2005 to 2020. Early Childhood Education & Care, 16(2), 117-143. https://doi.org/10.16978/ECEC.2021.16.2.005
  28. M. J. Kim., S. H. Park., Y. Kim., H. C. Lee. & G. T. Yeo. (2021). A Study on Research Trend in Field of Busan Port by Social Network Analysis. 19(2), Journal of Digital Convergence, 117-132. https://doi.org/10.14400/JDC.2021.19.2.117
  29. C. H. Joung., S. H. Park., Y. S. Choi., H. C. Lee. & G. T. Yeo. (2021). Research Trends in Automobile Logistics Using the Methods of CFPR and SNA. Journal of Shipping and Logistics, 37(2), 181-206.
  30. H. M. Hong. (2021). Examining Research Trends and Knowledge structure of The Journal of Holistic Convergence Education: Applying Keyword Network Analysis. Journal of Holistic Convergence Education, 25(1), 19-40. https://doi.org/10.35184/kshce.2021.25.1.19
  31. J. H. Joo. & J. H. Song. (2021). Exploration of Knowledge Hiding Research Trends Using Keyword Network Analysis. Knowledge Management Review (KMR), 22(1), 217-242. https://doi.org/10.15813/KMR.2021.22.1.011
  32. M. G. Song., Y. D. Cha. & G. T. Yeo. (2016). An Analysis of the "One Belt, One Road" Research Trend Using Social Network Analysis. Journal of Shipping and Logistics, 32(2), 387-413. https://doi.org/10.37059/tjosal.2016.32.2.387
  33. D. R. Kim., K. S. Kwon. & S. B. Jeong. (2015). Knowledge Structure Analysis on Business Administration Research using Keyword Network Analysis. Journal of Decision Science, 23(1), 111-125.
  34. S. P. Borgatti., M. G. Everett. & L. C. Freeman. (2002). Ucinet for Windows: Software for Social Network Analysis. Harvard, MA : Analytic Technologies.
  35. Y. S. Nam. & H. S. Lim. (2019). Analysis of Domestic Research Trends Related to Tourism Development Using Language Network Method: Focused on Research Keyword Analysis. The Journal of Humanities and Social science(HSS21), 10(2), 1851-1866.
  36. K. H. Choi. & J. A. Yoo. (2015). A reviews on the social network analysis using R. Journal of the Korea Convergence Society, 6(1), 77-83. https://doi.org/10.15207/JKCS.2015.6.1.077
  37. S. J. Park. (2015). A Topic Analysis of SW Education Textdata Using R. Journal of the Korean Association of information Education, 19(4), 517-524. https://doi.org/10.14352/jkaie.2015.19.4.517
  38. C. H. Yoon. & K. D. Choi. (2016). A Study on the Double Mediation Analysis in Structural Equating Models with Bootstrapping Using R. Journal of Digital Convergence, 14(9), 111-121. https://doi.org/10.14400/JDC.2016.14.9.111
  39. B. H. Leem. (2011). Impacts of Container Port Network on Productivity : Based on Social Network Analysis Perspective. Korean Journal of Logistics, 19(3), 19-35. https://doi.org/10.15735/kls.2011.19.3.002
  40. S. B. Park., D. S. Yang. & M. S. Kim. (2020). A Study on the Research Trends of Local Autonomy in Jeju: Focused on the Analysis of the Network of Main Language. The Journal of Humanities and Social science(HSS21), 11(6), 1511-1524.
  41. M. S. Ahn. & I. K. Oh. (2015). Analysis of Attitudes on Using Five-Star Hotel Packages Applying Network Text Analysis Method - Using Portal Sites. International Journal of Tourism Management and Sciences, 30(5), 163-181.
  42. L. C. Freeman. (1979). Centrality in social networks conceptual clarification. Social Networks, 1(3), 215-239. https://doi.org/10.1016/0378-8733(78)90021-7
  43. S. P. Borgati., M. G. Evert. & J. C. Johnson. (2018). Analyzing social networks. Thousand Oaks : Sage Publications Ltd.
  44. S. J. Song., K. W. Hong., H. S. Kim. & J. H. Lee. (2018). A Study on Opinion Mining Using Statistical Package R: Focusing on Pizza Franchise Companies. Culinary Science & Hospitality Research, 24(9), 30-38. https://doi.org/10.20878/CSHR.2018.24.9.004
  45. M. Norman. (2011). The art of R programming, San Francisco : No Starch Press.
  46. S. S. Lee. (2014). A Content Analysis of Journal Articles Using the Language Network Analysis Methods. Journal of the Korean Society for Information Management, 31(4), 49-68. https://doi.org/10.3743/KOSIM.2014.31.4.049
  47. RDocumentation. Network(version 1.13.0) : Network Objects. https://www.rdocumentation.org
  48. RDocumentation. ggraph(version 2.0.5), A grammar of graphics for relational data. https://www.rdocumentation.org
  49. R Core Team. (2017). R: A language and environment for statistical computing. R Foundation for Statistical Computing. https://www.R-project.org/.
  50. R project. (2018). Word Clouds(version 2.6). https://cran.r-project.org
  51. G. Csardi. & T. Nepusz. (2005). The Igraph Software Package for Complex Network Research. International Journal of Complex Systems, 1695(5), 1-9.
  52. D. Ivanov. (2020). Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case. Transportation Research Part E: Logistics and Transportation Review, 136.