DOI QR코드

DOI QR Code

A Exploratory Analysis on Knowledge Structure of Untact Research

언택트 연구의 지식구조에 대한 탐색적 분석

  • 김성묵 (고려대학교 기술경영전문대학원) ;
  • 차현희 (정화예술대학교 영상미디어학부)
  • Received : 2021.03.30
  • Accepted : 2021.04.30
  • Published : 2021.05.31

Abstract

This study aimed to identify the knowledge structure of researches on 'untact' and derived implications for directions for the studies using text mining. The study included network analysis and topic modelling of keywords and abstracts from 171 thesis published until October 2020. Centrality analysis showed that 'untact' studies had been focused on service, usage, consumption, technology and online. From the topic modelling, 6 topics such as 'COVID-19 and socio-technological change', 'needs and utilization of education contents', 'technology and service for user convenience', 'product marketing and sales', 'service design of the company', 'influence factors of usage and consumption' were extracted. Keywords that connect each topic were technology, service, usage, consumption, needs and factor. Exploratory analysis of 'untact' researches using text mining provides useful results for development of 'untact' studies.

본 연구는 텍스트 마이닝을 이용하여 언택트 연구의 지식구조를 파악하고 연구 방향 정립을 위한 함의를 찾고자 하였다. 2019년부터 2020년 10월까지 발표된 연구 문헌 171편의 서지정보를 네트워크 분석과 토픽 모델링 기법을 사용, 분석하였다. 사용, 서비스, 소비, 영향, 기술 키워드 등의 등장 빈도가 높았고, 등장논문의 수는 코로나19, 기술, 사용, 서비스의 순서였다. 중심성과 구조적 공백 분석 결과 서비스, 사용, 소비, 기술, 온라인 등의 키워드를 중심으로 연구가 이루어졌고, 더 연구가 필요함을 확인하였다. 토픽 모델링으로 코로나19와 사회기술변화, 교육콘텐츠 필요성 및 활용, 사용자 편의 기술 및 서비스, 제품 마케팅 및 판매, 기업의 서비스 디자인, 사용과 소비 영향요인 등 6개 토픽을 추출하였고 토픽을 잇는 키워드는 기술, 서비스, 사용, 소비, 필요, 요인 등이었다. 지식구조 분석은 언택트 연구와 정책 제안에 유용한 정보를 제공할 수 있다. 본 연구의 탐색적 성격을 넘어 양적 축적과 질적 다변화가 필요하다.

Keywords

References

  1. H. K. Park, "Untact?," Excellence Marketing for Customer, Vol. 53, No. 8, pp. 40-42, 2019.
  2. H. S. Kang, J. G. Hur and H. J. Kim, "Impact of the Food Service Industry's Untact Marketing Services on Quality of Service, Customer Relationship and Corporate Trust," Culinary Science & Hospitality Research, Vol. 27, No. 1, pp. 15-28, 2021. DOI : 10.20878/cshr.2021.27.1.002
  3. Y. I. Bae and H. R. Shin, "COVID-19, Accelerates Untact Sociey," Issue & Analysis, pp. 10-26, Gyeonggi Research Institute, 2020.
  4. M. J. Yang, "New Changes and Everyday Life Caused by COVID-19," Digieco Report, pp. 1-42, 2020.
  5. J. Y. Mun, H. J. Ban and H. S. Kim, "A Study on Consumers' Perception of Meal-kit: After the Spread of Coronavirus Infectious Disease-19(COVID 19)," Culinary Science & Hospitality Research, Vol. 26, No. 10, pp. 198-207, 2020. DOI : 10.20878/cshr.2020.26.10.018
  6. H. S. Kang and Y. O. Lee, "A Theoretical Review on the Untact Marketing of the COVID-19 Period Hospitality Industry Services," Journal of the Korea Entertainment Industry Association, Vol. 14, No. 7, pp. 161-173, 2020. DOI: 10.21184/jkeia.2020.10.14.7.161
  7. J. Y. Hwang, "Untact consumption trend caused by COVID 19 and future prospects," Future Horizon, STEPI, pp. 28-35, 2020.
  8. W. C. Lim, "A Critical Study on the Edutech Discourse in the Age of Untact," Education Review, No. 46, pp. 6-29, 2020.
  9. S. M. Kim and Y. J. Kim, "Research Trend Analysis on Living Lab Using Text Mining," Journal of Digital Convergence, Vol. 18, No. 8, pp. 37-48, 2020. DOI: 10.14400/JDC.2020.18.8037
  10. Y. J. Hong, "Regional Limtations and Tasks of Public Welfare Service in Untact Period," Conference of Korea Association of Community Welfare Studies(2020.11), pp. 1-30, 2020.
  11. S. M. Hong, "Direction of Social Service and Role of Local Community in Untact Period," Conference of Korea Association of Community Welfare Studies(2020.11), pp. 37-48, 2020.
  12. D. Y. Kim and S. J. Baek, "Changes in Manufacturing and Direction of Industrial Engineering in Untact Period," Industrial Enginering Magazine, Vol. 27, No. 4, pp. 12-17, 2020.
  13. S. Y. Song and H. K. Kim, "Exploring Factors Influencing College Students' Satisfaction and Persistent Intention to Take Non Face-to-Face Courses during the COVID-19 Pandemic," Asian Journal of Education, Vol. 21, No. 4, pp. 1099-1126, 2020. DOI : 10.15753/aje.2020.12.21.4.1099
  14. H. S. Kim and J. H. Song, "Intellectual Structure Analysis of Achievement Emotion Research by Keyword Network Analysis," Journal of Educational Research Institute, Vol. 22, No. 3, pp. 127-150, 2020. DOI : 10.15564/jeju.2020.08.22.3.127
  15. C. S. Park, Identification of Knowledge Structure of Pain Management Nursing Research applying Text Network Analysis, Ph. D. Thesis, Konkuk University, Korea, 2018.
  16. H. B. Kim and M. H. Lee, "Analysis of Research Trends and Knowledge Structures of Korean Urban Regeneration," Journal of Korea Planning Association, Vol. 51, No. 7, pp. 39-55, 2016. DOI : 10.17208/jkpa.2016.12.51.7.39
  17. E. M. Kim and C. G. Yi, "Research Trends and Knowledge Structure of Studies on Science and Technology Policy," Journal of Korea Technology Innovation Society, Vol. 21, No. 1, pp. 33-63, 2018.
  18. J. Y. Kim, E. H. Lee and J. Y. Lee, "A Study on the Research Trends and Knowledge Structure of Dance Management Using Text-Mining and Semantic Network Analysis," Korean Journal of Sport Management, Vol. 24, No. 3, pp. 85-103, 2019. DOI : 10.31308/KSSM.24.3.6
  19. M. Song, Text Mining, CRbooks, 2017.
  20. J. G. Gam, M. A. Kam and M. H. Park, "Keyword Network Analysis about the Trends of Social Welfare Researches - focused on the papers of KJSW during 1979-2015," Korean Journal of Social Welfare, Vol. 68, No. 2, pp. 185-211, 2016. https://doi.org/10.20970/kasw.2016.68.2.008
  21. S. I. Hwang, Trends in Korean Arts Management Research : A Study on the Big Data Analysis in the Academic Papers (1988-2017), Ph. D. Thesis, Chung-Ang University, Korea, 2019.
  22. H. J. Jung, "Research Dynamics in Innovation Studies Using Text Mining," Journal of Technology Innovation, Vol. 24, No. 4, pp. 249-275, 2016. https://doi.org/10.14383/SIME.2016.24.4.249
  23. Y. D. Shim, Trend Analysis of Convergence Research using Network Analysis - A Focus on Multidisciplinary Research, Ph. D. Thesis, Sungkyunkwan University, Korea, 2020.
  24. N. O. Cho and G. R. Cho, "A Study on Research Trend and Knowledge Structure on Korean Journal of Counseling through Keyword Network Text Analysis," Korean Journal of Counseling, Vol. 18, No. 2, pp. 1-19, 2017.
  25. S. K. Kim and S. Y. Jang, "Research Trend Analysis on Industrial Engineering Using Topic Modelling, Conference of Korean Institute of Industrial Engineers(2016.4), pp. 3996-4018, 2016.
  26. K. S, Lee, I. J. Lee and Y. K. Lee, "Research Trend Analysis on Virtual Reality in Tourism Utilizing LDA Based Topic Modelling," Conference of The Korea Academic Society of Tourism And Leisure(2018.8), pp. 425-432, 2018.
  27. Cyram, Text Network Analysis Using NetMiner, Cyram, 2019.
  28. W. J. Lee, "A Study on Word Cloud Techniques for Analysis of Unstructured Text Data," The Journal of the Convergence on Culture Technology (JCCT), Vol. 6, No. 4, pp. 715-720, 2020. DOI: 10.17703/JCCT.2020.6.4.715
  29. J. H. Lee, S. M. Cho and S. I. Kwon, "A Study on Social Enterprise Research Trends Based on Keyword Network Analysis: Based on the Publication of Korean Academic Journals from 2000 to 2017," Social Enterprise Studies, Vol. 11, No. 2, pp. 183-236, 2018. DOI: 10.32675/ses.2018.11.2.007
  30. K. Y. Kwahk, Social Network Analysis, CRbooks, 2017.
  31. H. B. Kwon, "An Analysis of Meaning of Education and Research Domain in Educational Research by Using Semantic Network Analysis ," Journal of Educational Innovation Research, Vol. 26, No. 1, pp. 125-148, 2016. DOI: 10.21024/pnuedi.26.1.201604.125
  32. J. Y. Lee, "Deep Learning Research Trend Analysis using Text Mining," International Journal of Advanced Culture Technology (IJACT), Vol. 7, No. 4, pp. 295-301, 2019. DOI: 10.17703/IJACT2019.7.4.295