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The Viral Effect of Online Social Network on New Products Promotion: Investigating Information Diffusion on Twitter

신제품 프로모션에 대한 온라인 소셜네트워크의 구전효과 분석 : 트위터의 정보전달과정을 중심으로

  • Received : 2012.06.07
  • Accepted : 2012.06.12
  • Published : 2012.06.30

Abstract

In Twitter, a user can post a message below 140 characters on his/her account, and can also repost a message of other users who the user follows. The message posted by the user in turn can be seen and reposted by other users who follow the user, which is called Re-tweet (RT). While some messages spread widely, other messages have relatively less or no RT. What factors cause these quantity variances of RT originated from original messages? How can the messages become influential in online social networks? As an effort to answer the above questions, we focused on information vividness, message characteristics, and originator characteristics. In perspective of managerial implication, we expect that the findings of this paper will provide corporations with helpful insight on the Word-of-Mouth (WOM) effect for efficient and effective advertisements and communications when they send a message of new products or services through Social Network Services. In perspective of academic implication, we identify the effect of contents of a message on WOM, which has been dealt with by few social network researches.

인터넷으로 대표되는 정보기술의 발전은 우리의 일상생활과 기업활동에 많은 영향을 미쳐 왔다. 아울러 최근에는 온라인 소셜네트워크라는 새로운 인터넷 커뮤니케이션 채널의 등장과 확산으로 인해 이용자들은 시간과 공간적인 제약 없이 전세계적인 의사소통을 할 수 있게 되었고 우리사회는 또 다른 패러다임의 변화를 맞이하고 있다. 이들 소셜네트워크 중 트위터는 가장 빠른 성장세를 보이는 온라인 매체 중 하나로 사용자는 140 단어 이내의 비교적 간단한 문장을 온라인 상에 게시하고 (Tweet) 다른 사용자들이 게시한 메시지를 다시 게시할 (Retweet) 수도 있다. 트위터의 이러한 Tweet/Retweet 기능은 새로운 온라인 정보확산 매카니즘의 예를 보여주며 상호 의사소통의 속도와 범위에 영향을 주고 있다. 비즈니스 관점에서의 트위터의 확산은 온라인 소셜네트워크를 제품 프로모션을 위한 새로운 마케팅 커뮤니케이션의 도구로 활용할 수 있는 기회를 제공하고 있다. 본 연구는 마케팅 전략적 관점에서 트위터의 잠재성을 이해하는 목적에서 트위터 상의 정보전달체계 중심으로 신제품 프로모션에 대한 온라인 소셜네트워크의 구전효과를 분석 하였다. 이를 위해 특정 신제품과 관련하여 2011년 6월부터 9월 사이에 게재된 트위터 메시지를 수집하여 트위터 메시지가 제공하는 정보의 충실도, 메시지 특성, 메시지 게재자의 성격등과 같은 변수와 온라인 소셜네트워크 상의 구전효과 (리트윗 횟수)와의 관계를 분석하였다. 분석결과 신제품 출시일자 정보, 제품사양, 리트윗 요청, 트윗 게시자 특성 등이 구전효과에 유의한 영향을 미치는 것으로 파악되었다. 아울러 제품의 특성과 트윗 메시지 게시일에 따라 구전효과에 미치는 영향이 달라짐을 발견하였다. 본 연구의 결과는 신제품 프로모션과 관련한 구전효과 발생에 있어 온라인 소셜네트워크의 영향에 관한 연구기반을 제공하며 기업이 새로운 제품에 대한 광고 및 마케팅 커뮤니케이션을 수행 함에 있어 온라인 소셜네트 워크를 효과적으로 활용하는데 필요한 유용한 가이드를 제시 할 것으로 기대된다.

Keywords

References

  1. Anderson, E. W., "Customer Satisfaction and Word of Mouth", Journal of Service Research, Vol.1, No.1(1998), 5-17. https://doi.org/10.1177/109467059800100102
  2. Antonio, D., Descartes' Error : Emotion, Reason, and the Human Brain, GP Putnam Sons, New York, NY, 1994.
  3. Arndt, J., "Role of Product-Related Conversations in the Diffusion of a New Product", Journal of Marketing Research, Vol.4, No.3(1967), 291-295. https://doi.org/10.2307/3149462
  4. Bansal, H. S. and P. A. Voyer, "Word-of-Mouth Processes within a Services Purchase Decision Context", Journal of Service Research, Vol.3, No.2(2000), 166-177. https://doi.org/10.1177/109467050032005
  5. Bush, P. S. and M. J. Houston, Marketing : Strategic Foundation, Richard D. Irwin, Inc., Homewood, IL, 1985.
  6. Chan, R. Y. K., T. Leung and Y. H. Wong, "The Effectiveness of Environmental Claims for Services Advertising", Journal of Services Marketing, Vol.20, No.4(2006), 233-250. https://doi.org/10.1108/08876040610674580
  7. Chatterjee, P., "Online Reviews : Do Consumers Use Them?", Advances in Consumer Research, Vol.28(2001), 129-133.
  8. Cho, I. and N. Kim, "Recommending Core and Connecting Keywords of Research Area Using Social Network and Data Mining Techniques", Journal of Intelligence and Information Systems, Vol.17, No.1(2011), 127-138.
  9. Choi, J. and H. J. Lee, "The Effects of Customer Product Review on Social Presence in Personalized Recommender Systems", Journal of Intelligence and Information Systems, Vol. 17, No.3(2011), 115-130.
  10. Choi, H. R. and J. S. Shin, "The Impact of Users' Technology Readiness on the New Services Acceptance : Focus on Mobile Banking Services", Korean Industrial Economic Association, Vol.19, No.1(2006), 131-155.
  11. Chu, S.-C. and S. Kamal, "The Effect of Perceived Blogger Credibility and Argument Quality on Message Elaboration and Brand Attitudes : An Exploratory Study", Journal of Interactive Advertising, Vol.8, No.2(2008), 26-37. https://doi.org/10.1080/15252019.2008.10722140
  12. Clemons, E. K., G. G. Gao and L. M. Hitt, "When Online Reviews Meet Hyper-Differentiation: A Study of the Craft Beer Industry", Journal of Management Information Systems, Vol.23, No.2(2006), 149-171. https://doi.org/10.2753/MIS0742-1222230207
  13. Davis, F. D., "Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology", MIS Quarterly, Vol.13, No.3(1989), 319-340. https://doi.org/10.2307/249008
  14. Dichter, E., "How Word-of-Mouth Advertising Works", Harvard Business Review, Vol.44, No.6(1966), 147-166.
  15. Dickerson, M. D. and J. W. Gentry, "Characteristics of Adopters and Non-Adopters of Home computers", Journal of Consumer Research, Vol.10, No.2(1983), 225-235. https://doi.org/10.1086/208961
  16. Dolan, R. J., "Emotion, Cognition, and Behavior", Science, Vol.298, No.5596(2002), 1191. https://doi.org/10.1126/science.1076358
  17. Elberse, A. and J. Eliashberg, "Demand and Supply Dynamics for Sequentially Released Products in International Markets : The Case of Motion Pictures", Marketing Science, Vol.22, No.3 (2003), 329-354. https://doi.org/10.1287/mksc.22.3.329.17740
  18. Eliashberg, J. and T. S. Robertson, "New Product Pre-Announcing Behavior : A Market Signaling Study", Journal of Marketing Research, Vol.25, No.3(1988), 282-292. https://doi.org/10.2307/3172530
  19. Eliashberg, J. and S. M. Shugan, "Film Critics : Influencers or Predictors?", Journal of Marketing, Vol.61, No.2(1997), 68-78. https://doi.org/10.2307/1251831
  20. Engel, J. E., R. D. Blackwell and R. J. Kegerreis, "How Information is Used to Adopt an Innovation", Journal of Advertising Research, Vol.9, No.4(1969), 3-8.
  21. Godes, D. and D. Mayzlin, "Using Online Conversations to Study Word-of-Mouth Communication", Marketing Science, Vol.23, No.4 (2004), 545-560. https://doi.org/10.1287/mksc.1040.0071
  22. Granovetter, M., The Nature of Economic Relationships, Russell Sage Foundation, New York, 1993.
  23. Herr, P. M., F. R. Kardes and J. Kim, "Effects of Word-of-Mouth and Product-Attribute Information on Persuasion : An Accessibility- Diagnosticity Perspective", Journal of Consumer Research, Vol.17, No.4(1991), 454-462. https://doi.org/10.1086/208570
  24. Hovland, C. I. and W. Weiss, "The Influence of Source Credibility on Communication Effectiveness", Public Opinion Quarterly, Vol.15, No.4(1951), 635-650. https://doi.org/10.1086/266350
  25. Ito, T. A., J. T. Larsen, N. K. Smith and J. T. Cacioppo, "Negative Information Weighs More Heavily on the Brain : The Negativity Bias in Evaluative Categorizations", Journal of Personality and Social Psychology, Vol.75, No.4(1998), 887. https://doi.org/10.1037/0022-3514.75.4.887
  26. Kahneman, D. and A. Tversky, "Prospect Theory : An Analysis of Decision under Risk", Econometrica, Vol.47, No.2(1979), 263-291. https://doi.org/10.2307/1914185
  27. Katz, E. and P. Lazarsfeld, Personal influence, The Free Press, New Brunswick, NJ, 1955.
  28. Kim, N. and M. Kim, "The Effects of Word-of- Mouth Information Quality on Word-of-Mouth Effects in Online Tourism Context", Korean Academic Society of Hospitality Administration, Vol.19, No.4(2010), 59-79.
  29. Lariscy, R. W., S. F. Tinkham, H. H. Edwardsand and K. O. Jones, "The "Ground War" of Political Campaigns : Nonpaid Activities in US State Legislative Races", Journalism and Mass Communication Quarterly, Vol.81, No.3(2004), 477-497. https://doi.org/10.1177/107769900408100302
  30. Lee, J., J. N. Lee and H. Shin, "The Long Tail or the Short Tail : The Category-Specific Impact of eWOM on Sales Distribution", Decision Support Systems, Vol.51, No.3(2011), 466-479. https://doi.org/10.1016/j.dss.2011.02.011
  31. Li, F. and T. C. Du, "Who is Talking? An Ontology-based Opinion Leader Identification Framework for Word-of-Mouth Marketing in Online Social Blogs", Decision Support Systems, Vol.51, No.1(2011), 190-197. https://doi.org/10.1016/j.dss.2010.12.007
  32. Li, X. and L. M. Hitt, "Self Selection and Information Role of Online Product Reviews", Information Systems Research, Vol.19, No.4 (2008), 456-474. https://doi.org/10.1287/isre.1070.0154
  33. Mahajan, V., E. Muller and R. A. Kerin, "Introduction Strategy for New Products with Positive and Negative Word-of-Mouth", Management Science, Vol.30, No.12(1984), 1389- 1404. https://doi.org/10.1287/mnsc.30.12.1389
  34. Nam, Y., I. Son and D. Lee, "The Impact of Message Characteristics on Online Viral Diffusion in Online Social Media Services : The Case of Twitter", Journal of Intelligence and Information Systems, Vol.17, No.4(2011), 57-76.
  35. Nisbett, R. E. and L. Ross, Human Inference : Strategies and Shortcomings of Social Judgment, Prentice-Hall, Englewood Cliffs, NJ, 1980.
  36. O'Keefe, D. J. and J. D. Jensen, "Do Loss- Framed Persuasive Messages Engender Greater Message Processing than Do Gain-Framed Messages? A Meta-Analytic Review", Communication Studies, Vol.59, No.1(2008), 51-67. https://doi.org/10.1080/10510970701849388
  37. Robertson, T. S., J. Eliashberg and T. Rymon, "New Product Announcement Signals and Incumbent Reactions", The Journal of Marketing, Vol.59, No.3(1995), 1-15. https://doi.org/10.2307/1252115
  38. Rogers, E. M., Diffusion of Innovations ($4^{th}$ edition), Free Press, New York, NY, 1995.
  39. Samson, A., "Understanding the Buzz that Matters : Negative Vs. Positive Word of Mouth", International Journal of Market Research, Vol.48, No.6(2006), 647-657. https://doi.org/10.1177/147078530604800603
  40. Schindler, R. M. and B. Bickart, "Published Word of Mouth : Referable, Consumer-Generated Information on the Internet", in Online Consumer Psychology : Understanding and Influencing Consumer Behavior in the Virtual Eorld (Edited by C. P. Haugtvedt, K. A. Machleit and R. F. Yalch), Lawrence Erlbaum Associates, Inc., Mahwah, NJ, 2005.
  41. Senecal, S. and J. Nantel, "The Influence of Online Product Recommendations on Consumers' Online Choices", Journal of Retailing, Vol.80, No.2(2004), 159-169. https://doi.org/10.1016/j.jretai.2004.04.001
  42. Shelby, A. N., "Communication Quality Revisited : Exploring the Link with Persuasive Effects", Journal of Business Communication, Vol.35, No.3(1998), 387. https://doi.org/10.1177/002194369803500305
  43. Shen, L. and J. P. Dillard, "The Influence of Behavioral Inhibition/Approach Systems and Message Framing on the Processing of Persuasive Health Messages", Communication Research, Vol.34, No.4(2007), 433-467. https://doi.org/10.1177/0093650207302787
  44. Shin, D. H. and W. S. Chang, "A Study of the Influence of Source Credibility and the Mediation Effects of Advertising Credibility on the Process of Internet Keyword-Advertising Effects", Cyber-Communication Academic Society, Vol.27, No.1(2010), 139-170.
  45. Smith, D., S. Menon and K. Sivakumar, "Online Peer and Editorial Recommendations, Trust, and Choice in Virtual Markets", Journal of interactive marketing, Vol.19, No.3(2005), 15-37. https://doi.org/10.1002/dir.20041
  46. Song, G., Trend Mining through Social Media Analysis, Daumsoft, Seoul, Korea, 2011.
  47. Sternthal, B., R. Dholakia and C. Leavitt, "The Persuasive Effect of Source Credibility : Tests of Cognitive Response", Journal of Consumer Research, Vol.3, No.1(1978), 252-260.
  48. Stewart, K. J., "Trust Transfer on the World Wide Web", Organization Science, Vol.14, No.1 (2003), 5-17. https://doi.org/10.1287/orsc.14.1.5.12810
  49. Sundar, S. S. and S. Kalyanaraman, "Arousal, Memory, and Impression-Formation Effects of Animation Speed in Web Advertising", Journal of Advertising, Vol.33, No.1(2004), 7-17. https://doi.org/10.1080/00913367.2004.10639152
  50. Turnbull, P. W. and A. Meenaghan, "Diffusion of Innovation and Opinion Leadership", European Journal of Marketing, Vol.14, No.1 (1980), 3-33. https://doi.org/10.1108/EUM0000000004893
  51. Wasserman, S. and K. Faust, "Social Network Analysis", Sociology, Vol.22, No.1(1994), 109-127.
  52. Wind, J. and V. Mahajan, "Marketing Hype: A New Perspective for New Product Research and Introduction", Journal of Product Innovation Management, Vol.4, No.1(1987), 43-49. https://doi.org/10.1111/1540-5885.410043
  53. Wu, Y., S. Balasubramanian and V. Mahajan, "When is a Pre-Announced New Product Likely to be Delayed?", Journal of Marketing, Vol.68, No.2(2004), 101-113. https://doi.org/10.1509/jmkg.68.2.101.27792
  54. Zhu, F. and X. Zhang, "Impact of Online Consumer Reviews on Sales : The Moderating Role of Product and Consumer Characteristics", Journal of Marketing, Vol.74, No.2(2010), 133-148. https://doi.org/10.1509/jmkg.74.2.133

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