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Application of Social Big Data Analysis for CosMedical Cosmetics Marketing : H Company Case Study

기능성 화장품 마케팅의 소셜 빅데이터 분석 활용 : H사 사례를 중심으로

  • 황신해 (영남대학교 일반대학원 경영학과) ;
  • 구동영 (영남대학교 일반대학원 경영학과) ;
  • 김정군 (영남대학교 경영학과)
  • Received : 2019.04.17
  • Accepted : 2019.07.20
  • Published : 2019.07.28

Abstract

This study aims to analyze the cosmedical cosmetics market and the nature of customer through the social big data analysis. More than 80,000 posts were analyzed using R program. After data cleansing, keyword frequency analysis and association analysis were performed to understand customer needs and competitor positioning, formulated several implications for marketing strategy sophistication and implementation. Analysis results show that "prevention" is a new and essential attribute for appealing target customers. The expansion of the product line for the gift market is also suggested. It has been shown that there is a high correlation with products that can be complementary to each other. In addition to the traditional marketing technique, the social big data analysis based on evidence was useful in deriving the characteristics of the customers and the market that had not been identified before. Word2vec algorithm will be beneficial to find additional.

Keywords

Bigdata Analysis;CosMedical Cosmetics;Linkage Analysis;Keyword Analysis;Cosmetics Marketing

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Fig. 1. Frequency analysis by counseling field through R program

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Fig. 2. Frequency analysis by counseling field through R program

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Fig. 3. Frequency analysis by counseling field through R program

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Fig. 4. Frequency analysis by counseling field through R program

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Fig. 5. Linkage Analysis of Consultation Needs for 2017-2018 by R program

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Fig. 6. Linkage Analysis of Consultation Needs for 2017-2018 by R program

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Fig. 7. Frequency analysis by counseling field through R program

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Fig. 8. Linkage Analysis of Consultation Needs for2017-2018 by R program

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Fig. 9. Frequency analysis by counseling field through R program

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Fig. 10. Linkage Analysis of Consultation Needs for 2017-2018 by R program

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Fig. 11. Frequency analysis by counseling field through R program

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Fig. 12. Linkage Analysis of Consultation Needs for 2017-2018 by R program

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Fig. 13. Frequency analysis by counseling field through R program

References

  1. P. M. Weill & T. Apel. (2011). The Business Model: The Investors Prefer, MIT Sloan Management Review, 52(4), 17-19. DOI : 10.1007/JDC.978.3.642.37620.7.18
  2. R. Amit & C. Zott. (2012). Creating Value Through Business Model Innovation, MIT Sloan Management Review, 53(3), 40-49. DOI : 10.4337/JDC.9781783475520.00011
  3. R. B. Ferguson. (2013). Competitive Advantage with Data? Maybe … Maybe Not. MIT Sloan Management Review Blog.
  4. W. G. Mangold & D. J. Faulds. (2009). Social media: The new hybrid element of the promotion mix. Business Horizons, 52(4), 357-365. DOI : 10.1016/JDC.2009.03.002 https://doi.org/10.1016/j.bushor.2009.03.002
  5. Z. Xiang & U. Gretzel. (2010). Role of social media in online travel information search. Tourism Management, 31(2), 179-188. DOI : 10.1016/JDC.2009.02.016 https://doi.org/10.1016/j.tourman.2009.02.016
  6. J. Fernandez & M. Lopez. (2013). Communication, destination brands and mobile applications. Communication & Society, 26(2), 95-113. DOI : 10.1016/JDC.2014.02.001
  7. S. T. Yu. & S. H. Oh. (2015). Malware Analysis Mechanism using the Word Cloud based on API Statistics. Journal of the Korea Academia-Industrial cooperation Society, 16(10), 7211-7218. DOI : 10.5762/JDC.2015.16.10.7211 https://doi.org/10.5762/KAIS.2015.16.10.7211
  8. M. H. Jang & Y. Y. Yoon. (2016). Research into Changes in Government Policies and Public Perceptions on Camping via Analyses of Big Data from Social Media. Korea Journal of Tourism Research, 31(1), 91-112. DOI : 10.5040/JDC.9781501306549.0004
  9. K. S. Noh. (2015). Educational Policy Proposals through Analysis of the Perception of Big data for University Students. Journal of Digital Convergence, 13(11), 25-33. DOI : 10.14400/JDC.2015.13.11.25
  10. Korea Database Agency. (2014). The Guide for Advanced Data Analytics Professional.
  11. D. H. Im. (2015). Big data analysis using R. Free Academy.
  12. W. G. Kang, E. S. Ko, H. R. Lee & J. N. Kim. (2018). A Study of the Consumer Major Perception of Packaging Using Big Data Analysis -Focusing on Text Mining and Semantic Network Analysis. Journal of the Korea Convergence Society, 9(4), 15-22.
  13. M. Shirota. (2013). The Impact of Big Data. HanbitMedia.
  14. B. W. Kang, M. K. Huh & S. B. Choi. (2015). Performance analysis of volleyball games using the social network and text mining techniques. Journal of the Korean Data & Information Science Society, 26, 619-30. DOI : 10.7465/JDC.2015.26.3.619 https://doi.org/10.7465/jkdi.2015.26.3.619
  15. Y. J. Lee & J. H. Yoon. (2014). A Study on Utilizing SNS Big Data in the Tourism Studies : Based on an Analysis of Key Words for Tourism Information Search. Korea Journal of Tourism Research, 28(3), 5-14. DOI : 10.1007/JDC.40558.018.0127.6
  16. H. J. Shim, Y. C. Kim, H. Y. Shon & J. Y. Lim. (2011). An exploratory usage pattern research of smartphone and social media users through semantic network analysis: Gender and age differences in perception and evaluation of usage pattern. Korean Journal of Broadcasting, 25(4), 28-138. DOI : 10.1109/JDC.2016.8070174
  17. I. K. Oh, T. S. Lee & C. N. Chon. (2015). A Study on Awareness of Korea Tourism through Big Data Analysis. Korea Journal of Tourism Research, 39(10), 107-126. DOI : 10.17086/JDC.2015.39.10.107.126
  18. J. Y. Han & H. B. Kim. (2017). A Study on the Awareness of Destination Image Using Social Network Analysis based on Big Data. Korea Journal of Tourism Research, 41(8), 91-119. DOI : 10.17086/JDC.2017.41.8.91.119
  19. H. J. Joun. (2018). Association Rule Analysis and Application of Informal Data on Accommodations: Demand and Supply Perspective in IRTS 2008 . Korea Journal of Tourism Research, 42(5), 137-150. DOI : 10.17086/JDC.2018.42.5.137.150
  20. K. S. Noh. (2014). A Study on Utilization Strategy of Big Data for Local Administration by Analyzing Cases. Journal of Digital Convergence, 12(1), 89-97. DOI : 10.14400/JDC.2014.12.1.89
  21. M. G. Song. (2016). The suggestion of new big data platform for the strengthening of privacy and enabled of big data. Journal of Digital Convergence, 14(12), 155-164. DOI : 10.14400/JDC.2016.14.12.155
  22. M. J. Jung, Y. L. Lee, C. M. Yoo, J. W. Kim & J. E. Chung. (2019). An exploratory study on consumers' responses to mobile payment service focused on Samsung Pay. Journal of Digital Convergence, 17(1), 9-27. DOI : 10.14400/JDC.2019.17.1.009