DOI QR코드

DOI QR Code

온라인 패션커뮤니티 네트워크에서의 구전 영향력과 확산력에 관한 연구

Study on Influence and Diffusion of Word-of-Mouth in Online Fashion Community Network

  • 송기은 (한국과학기술원 기술경영학과) ;
  • 이덕희 (한국과학기술원 기술경영학과)
  • Song, Kieun (Dept. of Business and Technology Management, KAIST) ;
  • Lee, Duk Hee (Dept. of Business and Technology Management, KAIST)
  • 투고 : 2015.06.01
  • 심사 : 2015.07.30
  • 발행 : 2015.09.30

초록

The purpose of this study is to investigate the characteristics of members and communities that have significant influence in the online fashion community through their word-of-mouth activities. In order to identify the influence and the diffusion of word-of-mouth in fashion community, the study selected one online fashion community. Then, the study sorted the online posts and comments made on fashion information and put them into the matrix form to perform social network analysis. The result of the analysis is as follows: First, the fashion community network used in the study has many active members that relay information very quickly. Average time for information diffusion is very short, taking only one or two days in most cases. Second, the influence of word-of-mouth is led by key information produced from only a few members. The number of influential members account for less than 20% of the total number of community members, which indicate high level of degree centrality. The diffusion of word-of-mouth is led by even fewer members, which represent high level of betweenness centrality, compared to the case of degree centrality. Third, component characteristic shares similar information with about 70% of all members being linked to maximize information influence and diffusion. Fourth, a node with high degree centrality and betweenness centrality shares similar interests, presenting strain effect to particular information. Specially, members with high betweenness centrality show similar interests with members of high degree centrality. The members with high betweenness centrality also help expansion of related information by actively commenting on posts. The result of this research emphasizes the necessity of creation and management of network to efficiently convey fashion information by identifying key members with high level of information influence and diffusion to enhance the outcome of online word-of-mouth.

키워드

참고문헌

  1. Adamic, L. & Glance, L. (2005). The Political Blogosphere and the 2004 U.S. Election: Divided They Blog. Link KDD '05 Proceedings of the 3rd international workshop on Link discovery, 36-43. doi>10.1145/1134271.1134277
  2. Barabasi, A. L. and Albert, R. (1999). Emergence of Scaling in Random Networks. Science, 286, 509-512. https://doi.org/10.1126/science.286.5439.509
  3. Blazevic, V., Hammedi, W., Garnefeld, I., Rust, R. T., Keiningham, T., Andreassen, T. W., Donthu, N., & Carl, W. (2013). Beyond traditional word-of-mouth. Journal of Service Management, 24(3), 294-313. https://doi.org/10.1108/09564231311327003
  4. Choi, J. W. & Lee, Y. (2013). e-WOM Information Search Behavior of Cycle Wear. Journal of the Korean Society of Costume, 63(8), 156-170. https://doi.org/10.7233/jksc.2013.63.8.156
  5. Dyson, D. (2012, December 5). Mapping Social Network Change: from Bridges to Widgets. CERISBLOG. Retrieved from https://cerisontario.wordpress.com/2012/12/05/socialnetworks
  6. Granovetter, M. (1973). The Strength of Weak Ties. The American Journal of Society, 78(6), 1360-1380. https://doi.org/10.1086/225469
  7. Han, H. & Lee, K. (2014). Consumer Information Sharing in Social Media. Journal of Consumer Studies, 25(2), 21-43.
  8. Henning-Thurau, T., Gwinner, K. P., Walsh, G., & Gremler, D. D. (2004). Electronic word-of-mouth via consumer-opinion platforms: What motivates consumers to articulate themselves on the Internet?. Journal of Interactive Marketing, 18(1), 38-52. https://doi.org/10.1002/dir.10073
  9. Jamil, R. A. & Hasnu, S. A. F. (2013). Consumer' Reliance on Word of Mouse: Influence on Consumer' Decision in an Online Information Asymmetry Context. Journal of Business & Economics, 5(2), 171-205.
  10. Jeon, K. & Park. (2012). The Concept and Consumer Traits of a Market Maven. Journal of the Korean Society of Clothing and Textiles, 36(5), 562-572. https://doi.org/10.5850/JKSCT.2012.36.5.562
  11. Jeon, S. & Kim, K. (2012). The Influence of Two-sided WOM on Cosumers' Brand Attitudes in an Online Context. Journal of Korean Marketing Association, 27(1), 45-66.
  12. Jin, W., Kim, J. S., & Kim, J. W. (2014). Product Community Analysis Using Opinion Mining and Network Analysis: Box Office Performance and Estimation. Journal of Intelligent Information System, 20(1), 49-65. https://doi.org/10.13088/jiis.2014.20.1.049
  13. Kim, J. & Song, M.(2008). Identification Online Opinion Leaders: By Diffusion Power of Online WOM Influencer. Journal of Consumer Studies, 19(2), 93-113.
  14. Kim, J. (2007). The impact of WOM communication and advertising. Advertising Information, 12, 1-4.
  15. Kwak, K. (2014). Social network analysis. Seoul, Republic of Korea: Chungram.
  16. Kwon, S. & Kim, S. (2013). A Study on online wordof-mouth effect through blog reviews on fashion products-Based on the theory of planned behavior. The Research Journal of the Costume Culture, 21(4), 478-493. https://doi.org/10.7741/rjcc.2013.21.4.478
  17. Lee, C., Lee, H., Lee, S., & Kim, J. (2013). The Effect of WOM's Information Characteristics on WOM Adoption in the Online Shopping Context: Focused on the Mediating Roles of Trust and Usefulness. KOREAIDMA, 16(3), 59-75.
  18. Lee, D. H. (2008). Network economy [네트워크 이코노미]. Seoul, Republic of Korea: Dongasia.
  19. Lee, H. & Lee, D. (2013). The Effect of the Informational Traits of Online Product Review on Consumer Information Inquiry and Participation. Journal of Korean Marketing Association, 28(June), 209-238.
  20. Lee, J. Doh, S., & Hwang, J. (2011). The Effectiveness of Online WOM: The Role of Direction, Useful, and IR. Korean Journal of Consumer and Advertising Psychology, 12(2), 283-307. https://doi.org/10.21074/kjlcap.2011.12.2.283
  21. Lee, S., Lee, S., & Kim, G. (2015). Social Media and Social Support Experiences, ITPR, 22(1), 85-121.
  22. Lee, T. & Park, C. (2006). Effects of Direction and Type of Electronic Word of Mouth Information on Purchase Decision: Cross-Cultural Comparison between Korea and U.S.. Journal of the Korean Marketing Association, 21, 1617-1647.
  23. Lee, Y. (2012). The Effects of Individual Characteristics on the Use of Online Word-of-Mouth. The Journal of Advertising and Public Relations, 14(4), 74-98.
  24. McQuail, D. & Windahl, S. (1981). Communication models for the study of mass communications. London, England: Longman.
  25. Morrison, K. R. B. (2002). School Leadership and Complexity Theory. London, England: Routledge Falmer.
  26. Racherla, P. & Friske, W. (2012). Perceived 'usefulness' of online consumer reviews: An exploratory investigation across three services categories. Electronic Commerce Research and Applications, 11(6), 548-559. https://doi.org/10.1016/j.elerap.2012.06.003
  27. Richins, K. L. (1983). Negative word-of-mouth by Dissatisfied Consumers: A pilot study. Journal of Marketing, 47(1), 68-78. https://doi.org/10.2307/3203428
  28. Scott, J. (2010). Social Network Analysis: a handbook. London, England: Sage.
  29. Song, K. E. & Hwang, S. J. (2013). A Study on the Influences of Network Features on the Diffusion of Internet Fashion Information. The Journal of Korean Society of Costume, 63(2), 1-13. https://doi.org/10.7233/jksc.2013.63.2.001
  30. Weng, L., Rlommini, Vespignani, A., & Menczer, F. (2012). Competition among memes in a world with limited attention. SCIENTIFIC REPORTS, 2. doi: 10.1038/srep00335
  31. Wi, H. (2013). Social structure of internet trolling: comparative analysis on social network structure of 'Ilbe' and 'Agora' (Unpulbished Master's thesis). KAIST, Republic of Korea.
  32. Yang, J. & Scott, C. (2010). Predicting the speed, scale, and range of information diffusion in Twitter. In International AAAI Conference on Weblogs and Social Media, 10, 355-358.
  33. Yun, H. & Bae, S. W. (2011). The Effect of Sender's and Receiver's Expertise On the Receiver's Attitude about Word-of-Mouth: The Moderating Role of Tie Strength. Korean Marketing Management Research, 16(2), 83-112.