Journal of the Korea Society of Computer and Information (한국컴퓨터정보학회논문지)

Korean Society of Computer Information (한국컴퓨터정보학회)
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Mobile Commerce Brand Identity Strategy by SNS Text mining

  • Received : 2020.10.19
  • Accepted : 2020.10.26
  • Published : 2020.10.30
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Abstract

In this paper, I propose an efficient brand identity strategy by topic modeling the Instagram posts, one of SNS(Social Network Service) having more than 1billion world-wide and 500 million daily users. Since the 92% age groups of the Instagram is 18~50 years old (59% 18~29y and 33% 30~49), I set research analysis target three mobile commerce sites to dress and cosmetics sales sites that sale apparels cosmetics and gadgets that recently opened and have operated marketing on diverse channel including SNS. By topic modeling SNS posts for 6 months after launching the site that tagged each m-commerce site brand name or company name, I validate companies' brand identity strategy works effectively and suggest moderation of strategy for brand image. As a result, I found one of three mobile commerce site has different brand image by users and need different identity set up.

본 논문은 SNS 토픽 모델링을 통해 효율적인 브랜드 아이덴티티 전략을 제안하고자 하며, 토믹 모델링 대상은 SNS는 전 세계적으로 10억이상 사용자와 5억이상 매일 사용자를 가진 인스타그램을 크롤링하였다. 인스타그램의 사용자그룹은 59%가 18~29세, 33%가 30~49세인 것을 감안하여 세개의 최근 런칭한 젊은 세대들을 위한 패션 판매 모바일 사이트를 분석대상으로 하였으며 이들은 각각 SNS을 마케팅 채널로 활용하였다. 각 모바일 사이트들의 서비스 시작후 6개월간 각 회사의 브랜드 명이나 회사명이 태깅된 SNS 포스팅을 크롤링하였으며, 토픽 모델링을 통한 브랜드 이미지 분석을 통해 각 회사의 브랜드 아이덴터티 전략이 효과적으로 적용되었는지 검증하였다. 결과적으로 세 개의 사이트 중 한 개의 사이트가 브랜드 아이덴티티 의도와 다른 브랜드 이미지가 설정되어있음을 발견하였으며 이를 보완하기 위한 전략을 제언하였다.

Keywords

References

  1. Korea Ministry of Statistics, "2020. JULY Online Shopping Trend", 2020.
  2. SG Hong, KH Lee, and HJ Lee, "A Study on trend of brand identity desin-from 2009 to 2018-", The Treatise on The Plastic Media, Vol.21, No.4, pp. 293-303, 2018
  3. Alina Wheeler, "Designing Brand Identity: An Essential Guide for the Whole Branding Team", John Wiley & Sons, 2017
  4. Chernatony, L., "Brand Management Through Narrowing the Gap Between Brand Identity and Brand Reputation", Journal of Marketing Management, Vol.15, No.1-3, pp. 157-179, 1999 https://doi.org/10.1362/026725799784870432
  5. Ghodeswar, B.M., "Building brand identity in competitive markets: a conceptual model", Journal of Product & Brand Management, Vol.17, No.1, pp.4-12, 2008 https://doi.org/10.1108/10610420810856468
  6. Obar, Jonathan A. and Wildman, Steve, "Social media definition and the governance challenge: An introduction to the special issue". Telecommunications Policy. Vol.39, No.9, pp.745-750, 2015 https://doi.org/10.1016/j.telpol.2015.07.014
  7. Boyd, Danah M. and Ellison, Nicole B, "Social Network Sites: Definition, History, and Scholarship". Journal of Computer-Mediated Communication, Vol.13, No.1, pp.210-230, 2007 https://doi.org/10.1111/j.1083-6101.2007.00393.x
  8. Neumeier, Marty, "The Dictionary of Brand", New York City: AIGA Center for Brand Experience, p.20, 2004
  9. A.Gupta, P.Madan and S.Gupta, "Factors influencing B2C M-commerce Satisfaction and Trust toward M-commerce Service Providers", Journal of Pure and Applied Science & Technology, Vol.2, No.1, pp.59-65, 2011
  10. Dobni, D. and Zinkhan, G.M., "In search of brand image: A foundation analysis," Advances in Consumer Research, Vol.17, No.1, pp. 110-119, 1990
  11. Peppard, J., "Customer relationship management (CRM) in financial services", European Management Journal, Vol.18 No.3, pp. 312-327, 2000 https://doi.org/10.1016/S0263-2373(00)00013-X
  12. Padgett, D. and Allen, D., "Communicating experiences: A narrative approach to creating service brand image," Journal of Advertising, Vol.26, No.4, pp.49-62, 1997 https://doi.org/10.1080/00913367.1997.10673535
  13. YS Hwang et al, "Journalism in Data era", Communication Books, 2017
  14. TJ Kim, "Journal news analysis about COVID19 by news bigdata", Korea journal of contents, Vol.20, No.5, pp.457-466, 2020
  15. Ashok Srivastava and Mehran Sahami, "Text Mining: Classification, clustering, and application", CRC press, pp.71-89, 2009.
  16. D. M. Blei, "Probabilistic topic models", Communications of the ACM, Vol.55, No.4, pp.77-84, 2012. https://doi.org/10.1145/2133806.2133826
  17. D. Newman, J. H. Lau, K. Grieser, and T. Baldwin, T, "Automatic evaluation of topic coherence", In Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, pp.100-108, 2010.