Journal of Convergence for Information Technology (융합정보논문지)

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A Study on the Trend Change using Trademark Information before and after COVID-19

상표권 정보를 활용한 코로나19 전후의 트렌드 변화 연구

  • Na, Myung-Sun (Department of Smart Convergence Consulting, Hansung University) ;
  • Park, Inchae (Division of Smart Management Engineering, Hansung University)
  • 나명선 (한성대학교 스마트융합컨설팅학과) ;
  • 박인채 (한성대학교 스마트경영공학부)
  • Received : 2021.09.20
  • Accepted : 2022.02.20
  • Published : 2022.02.28
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Abstract

Many studies using trademark information have suggested that trademark information is good data to monitor business trends. This study intends to analyze the trend change before and after COVID-19 using trademark information. Changes before and after COVID-19 were analyzed by using goods & service classification, similar group code, and designated goods information as trademark information. Among the trademark information, it was statistically significant that the change in trends before and after COVID-19 using designated goods names. To verify the results, the changes in keywords using designated goods names before and after COVID-19 were compared with the frequency of keywords in Google Trends. Among the top 8 keywords extracted from designated goods names, the frequency of Google trend searches for 'online, antibacterial, prevention of epidemics, meal kit, virtual' is on the rise, and 'mask, droplet' is not on the rise, but it increased rapidly at the time of COVID-19, and even after COVID-19, it showed a higher level than before. The frequency of 'unmanned' does not differ much before and after COVID-19, but it has been maintained at a consistently high level, and related businesses have been active since before COVID-19, and it can be interpreted as a keyword with high public interest. This study has academic achievements in that it specifically identified information that could be used in business trends by using three types of trademark information.

그동안 상표정보 활용과 관련한 여러 연구가 진행되었고 상표정보가 비즈니스 트렌드를 볼 수 있는 좋은 데이터임을 증명하였다. 본 연구는 상표정보를 활용하여 코로나-19 전후의 트렌드 변화를 분석하고자 한다. 상표정보로 상품류, 유사군 코드, 지정상품정보를 활용하여 코로나-19 전후의 변화를 비교하고 통계적으로 유의미한 차이가 있는지 확인하였다. 활용한 상표정보 중에 코로나-19 전후로 지정상품명을 활용한 트렌드의 변화가 유의미한 차이를 나타냈다. 결과의 검증을 위해 코로나-19 전후의 지정상품명에 사용된 키워드의 변화를 구글 트렌드의 키워드의 검색 노출빈도와 비교하였다. 지정상품명칭에서 추출된 상위 8개 키워드 중 '온라인, 항균, 방역, 밀키트, 가상'의 구글 트렌드 검색 노출 빈도는 증가추세이고, '마스크, 비말' 은 증가추세는 아니지만, 코로나-19시점에 급격히 증가하였으며 코로나-19 이후에도 이전에 비해 높은 수준을 나타냈다. '무인' 의 노출 빈도는 코로나-19 전후로 큰 차이는 없지만 꾸준히 높은 수준을 유지하여 코로나 이전부터 관련 비즈니스가 활발하였으며, 대중의 관심이 높은 키워드로 해석할 수있다. 본 연구는 세가지 상표정보를 활용하여 비즈니스 트렌드에 활용 가능성이 있는 정보를 구체적으로 확인하였다 점에서 학문적 성과가 있다.

Keywords

Acknowledgement

This research was financially supported by Hansung University

References

  1. S. Y. Hu. (2003).Overview of Business Intelligence Concept.The Korean Institute of Information Scientists and Engineers, 21(10), 5-11. DOI : http://www.riss.kr/link?id=A82298759
  2. J. H, Yoon, N. U. Ko, B. K. Jeong & J. W. Choi. (2019). Trademark Data-Based Business Intelligence: Applications and Future Research Issues. Journal of the Korean Institute of Industrial Engineers, 45(4), 270-283. DOI : 10.7232/JKIIE.2019.45.4.270
  3. Y. G. Ham & S. B. Chae. (2020). Bigdata, Change Management. Seoul : Samsung Economic Research Institute.
  4. M. G. Lee & S. J. Lee. (2017). Identifying new business opportunities from competitor intelligence: An integrated use of patent and trademark databases.Technological Forecasting and Social Change, 119, 170-183. DOI : 10.1016/j.techfore.2017.03.026
  5. S. J. Lee & S. J. Lee. (2007). Trend Analysis on Industry Covergence Using Trademark Information. A journal of the Korean Institute of Industrial Engineers, 44(2), 160-171. https://doi.org/10.7232/jkiie.2018.44.2.160
  6. C. Castaldi. (2020). All the great things you can do with trademark data: Taking stock and looking ahead. Strategic Organization, 18(3), 472-484. DOI : 10.1177/1476127019847835
  7. S. Mendonca, T. S. Pereira & M. M. Godinho. (2004). Trademark as an indicator of innovation and industrial change. Research Policy, 33(9), 1385-1404. DOI : 10.1016/j.respol.2004.09.005
  8. U. Schmoch.(2003). Service marks as novel innovation indicator. Research Evaluation, 12(12), 149-156. DOI : 10.3152/147154403781776708
  9. S. Petrie, M. Adams, B. M, Kahn & M. Johnson. (2020). TM-Link: An Internationally Linked Trademark Database. The Australian Economic Review, 53(2), 254-269. DOI : 10.1111/1467-8462.12373
  10. C. A. W. de Grazia, A. Myers & A. A. Toole. (2020). Innovation activities and business cycles; are trademarks a leading incicator?. Industry and Innovation, 27(1-2), 184-203. DOI : 10.1080/13662716.2019.1650252
  11. J. M. Kim. (2016). A Study on the Use of Trademark Database to Extract Design Insights: Focused on Symbol Design. A Journal of Brand Design Association of Korea. 14(1), 35-48. https://doi.org/10.18852/BDAK.2016.14.1.35
  12. D. J. Kim, B. Y. Jeong & J. E. Kim. (2017). Product-Service System of Maunfacturing Company Using Trademark: Focusing on T-Station of Hankook Tire. The HCI Society of Korea, 392-395.
  13. B. K. Jeong, N. U. Ko & J. H. Yoon. (2019). Business opportunity using deep on trademark data. Korea Insititute of industrial Engineers, 11, 595-605.
  14. J. W. Choi & J. H. Jang. (2021). A Method of detecting promising business areas through text analysis of trademarked goods. Korean Institute of Industrial Engineer, 18-36.