Asia Marketing Journal

  • 제21권2호
  • /
  • Pages.73-98
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  • 2019
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  • 1598-7868(pISSN)
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  • 2765-6500(eISSN)
한국마케팅학회 (Korean Marketing Association)
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Effect of Online Word of Mouth on Product Sales: Focusing on Communication-Channel Characteristics

  • Jeon, Jaihyun (College of Business Administration, Seoul National University) ;
  • Lim, Taewook (College of Business Administration, Seoul National University) ;
  • Kim, Byung-Do (College of Business Administration, Seoul National University) ;
  • Seok, Junhee (College of Business Administration, Seoul National University)
  • 투고 : 2019.03.25
  • 심사 : 2019.07.22
  • 발행 : 2019.07.31
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초록

As information and communication technology continue its remarkable development, the exchange of information online becomes as prevalent and frequent as face-to-face communication in daily life. Therefore, the management and application of WOM (word of mouth) practices will become more important than ever to companies. Currently, there are various types of communication channels for online WOM, and each channel has its own unique traits. Most of the previous research studies online WOM by examining the information inside a single communication channel, but this research chooses two different communication channels and analyzes the effects of online WOM with each channel's unique characteristics. More specifically, this research focuses on the expectation that the effects of information from Twitter and blogs on product sales may differ because Twitter and blogs, two different communication channels for online WOM, have their own unique traits. Our particular aim is to perform an in-depth examination on the effects of communication channel's volume and valence on product sales, two important attributes of online WOM. Furthermore, while most of the empirical research focuses on online WOM and analyzes its effect on markets of temporary experience goods, such as movies and books, this research highlights focuses on the automobile market, a durable goods market. The results of our analysis are as follows: First, regarding blogs, a positive valence significantly and positively affects the sales of products, and this result indicates that consumers are influenced more by the emotional aspect of a product presented in a post than by the number of blog posts. Second, regarding Twitter, the volume of online WOM significantly and positively affects sales, an indication that as the number of posts increase, the sales increase. Through this research, we suggest that even those firms that sell durable goods can increase sales through the management and application of online WOM. Moreover, according to the characteristics of communication channels, the effects of online WOM on sales differ. As a practical implication of this research, we suggest that companies can and should create marketing strategies appropriate to their targeted communication channels.

키워드

과제정보

This work was supported by the Institute of Industrial Relations, Seoul National University.

참고문헌

  1. Aydin, M., & Malcioglu, G. (2016). Financial development and economic growth relationship: The case of OECD countries. Journal of Applied Research in Finance and Economics, 2(1), 1-7.
  2. Babic Rosario, A., Sotgiu, F., De Valck, K., & Bijmolt, T. H. (2016). The effect of electronic word of mouth on sales: A meta-analytic review of platform, product, and metric factors. Journal of Marketing Research, 53(3), 297-318.
  3. Baker, A. M., Donthu, N., & Kumar, V. (2016). Investigating how word-of-mouth conversations about brands influence purchase and retransmission intentions. Journal of Marketing Research, 53(2), 225-239.
  4. Banerjee, A. V. (1992). A simple model of herd behavior. The Quarterly Journal of Economics, 107(3), 797-817.
  5. Breusch, T. S., & Pagan, A. R. (1980). The Lagrange multiplier test and its applications to model specification in econometrics. The Review of Economic Studies, 47(1), 239-253.
  6. Chen, Y., Wang, Q., &Xie, J. (2011). Online social interactions: A natural experiment on word of mouth versus observational learning. Journal of Marketing Research, 48(2), 238-254.
  7. Chevalier, J. A., & Mayzlin, D. (2006). The effect of word of mouth on sales: Online book reviews. Journal of Marketing Research, 43(3), 345-354.
  8. Chi, H. K., Yeh, H. R., & Yang, Y. T. (2009). The impact of brand awareness on consumer purchase intention: The mediating effect of perceived quality and brand loyalty. the Journal of International Management Studies, 4(1), 135-144
  9. Chintagunta, P. K., Gopinath, S., & Venkataraman, S. (2010). The effects of online user reviews on movie box office performance: Accounting for sequential rollout and aggregation across local markets. Marketing Science, 29(5), 944-957.
  10. Chung, J. H., & Kim, K. H., (2011). The change of dynamic interaction between online buzz activities and sales over time. Journal of Korean Marketing Association, 26(3), 85-109.
  11. Cox, J. L., Martinez, E. R., & Quinlan, K. B. (2008). Blogs and the corporation: managing the risk, reaping the benefits. Journal of Business Strategy, 29(3), 4-12.
  12. Cui, G., Lui, H. K., & Guo, X. (2012). The effect of online consumer reviews on new product sales. International Journal of Electronic Commerce, 17(1), 39-58.
  13. Doh, S. J., & Hwang, J. S. (2009). How consumers evaluate eWOM (electronic word-of-mouth) messages. CyberPsychology &Behavior, 12(2), 193-197.
  14. Dewan, S., & Ramprasad, J. (2009). Chicken and egg? Interplay between music blog buzz and album sales, PACIS 2009 Proceedings, 87.
  15. Duan, W., Gu, B., & Whinston, A. B. (2008). The dynamics of online word-of-mouth and product sales-An empirical investigation of the movie industry. Journal of Retailing, 84(2), 233-242.
  16. Dumitrescu, E. I., & Hurlin, C. (2012). Testing for Granger non-causality in heterogeneous panels. Economic Modeling, 29(4), 1450-1460.
  17. File, K. M., & Prince, R. A. (1992). Positive word-of-mouth: customer satisfaction and buyer behaviour. International Journal of Bank Marketing, 10(1), 25-29.
  18. Gopinath, S., Thomas, J. S., & Krishnamurthi, L. (2014). Investigating the relationship between the content of online word of mouth, advertising, and brand performance. Marketing Science, 33(2), 241-258.
  19. Granger, C. W. (1969). Investigating causal relations by econometric models and crossspectral methods. Econometrica: Journal of the Econometric Society, 424-438.
  20. Hausman, J. A. (1978). Specification tests in econometrics. Econometrica: Journal of the Econometric Society, 1251-1271.
  21. Hennig-Thurau, T., Wiertz, C., & Feldhaus, F. (2015). Does Twitter matter? The impact of microblogging word of mouth on consumers' adoption of new movies. Journal of the Academy of Marketing Science, 43(3), 375-394.
  22. Hennig-Thurau, T., Walsh, G., & Walsh, G. (2003). Electronic word-of-mouth: Motives for and consequences of reading customer articulations on the Internet. International Journal of Electronic Commerce, 8(2), 51-74.
  23. Jansen, B. J., Zhang, M., Sobel, K., & Chowdury, A. (2009). Twitter power: Tweets as electronic word of mouth. Journal of the American Society for Information Science and Technology, 60(11), 2169-2188.
  24. Jin, S. A. A., & Phua, J. (2014). Following celebrities' tweets about brands: The impact of twitter-based electronic word-of-mouth on consumers' source credibility perception, buying intention, and social identification with celebrities. Journal of Advertising, 43(2), 181-195.
  25. Johnson, T. J., & Kaye, B. K. (2004). Wag the blog: How reliance on traditional media and the Internet influence credibility perceptions of weblogs among blog users. Journalism &Mass Communication Quarterly, 81(3), 622-642.
  26. Kaplan, A. M., & Haenlein, M. (2011). Two hearts in three-quarter time: How to waltz the social media/viral marketing dance. Business Horizons, 54(3), 253-263.
  27. Kim, K. S. (2010). Web WOM Effect of Blog to The 20s Young Generation in The Process of Restaurant Choice: Focused on Outback Blog of NAVER. Journal of Tourism and Leisure Research, 22(1), 113-131.
  28. Lee, M. K., Cheung, C. M., Lim, K. H., & Ling Sia, C. (2006). Understanding customer knowledge sharing in web-based discussion boards: An exploratory study. Internet Research, 16(3), 289-303.
  29. Lee, M., & Youn, S. (2009). Electronic word of mouth (eWOM) How eWOM platforms influence consumer product judgement. International Journal of Advertising, 28(3), 473-499.
  30. Lin, C., Wu, Y. S., & Chen, J. C. V. (2013). Electronic word-of-mouth: The moderating roles of product involvement and brand image. TIIM 2013 Proceedings, 39-47.
  31. Liu, Y. (2006). Word of mouth for movies: Its dynamics and impact on box office revenue. Journal of Marketing, 70(3), 74-89.
  32. Lopez, L., & Weber, S. (2018). Testing for Granger causality in panel data. The Stata Journal, 17(4), 972-984.
  33. Luo, X. (2009). Quantifying the long-term impact of negative word of mouth on cash flows and stock prices. Marketing Science, 28(1), 148-165.
  34. Min. I. S., & Choi, P. (2016). STATA Paneldata Analysis. Seoul, Jiphilmedia
  35. Moorman, Christine (2014), "CMO Survey Report: Highlights and Insights," (August), (accessed January 7, 2015), available at: http://cmosurvey.org/files/2014/09/The_CMO_SurveyHighlights_and_Insights-Aug-2014.pdf
  36. Nielsen (2009) "Global advertising consumers trust real friends and virtual strangers the most". Newswire (blog), July 7, [available at: https://www.nielsen.com/us/en/insights/news/2009/global-advertising-consumers-trust-real-friends-and-virtual-strangers-the-most.html]
  37. Nielsen (2012) How connectivity influences global shopping. Newswire (blog), August 28, [available at: https://www.nielsen.com/us/en/insights/news/2012/howconnectivity-influences-global-shopping.html]
  38. Ogut, H., & Onur Tas, B. K. (2012). The influence of internet customer reviews on the online sales and prices in hotel industry. The Service Industries Journal, 32(2), 197-214.
  39. Pal, S. K., &Kapur, V. (2010). Blog marketing strategies for mature and emerging markets. International Journal of Innovation, Management and Technology, 1(4), 411.
  40. Pan, B., MacLaurin, T., &Crotts, J. C. (2007). Travel blogs and the implications for destination marketing. Journal of Travel Research, 46(1), 35-45.
  41. Park, J., Gu, B., &Lee, H. (2012). The relationship between retailer-hosted and third-party hosted WOM sources and their influence on retailer sales. Electronic Commerce Research and Applications, 11(3), 253-261.
  42. Peng, J., Zhang, G., Zhang, S., Dai, X., &Li, J. (2014). Effects of online advertising on automobile sales. Management Decision, 52(5), 834-851.
  43. Qin, L. (2011). Word-of-blog for movies: A predictor and an outcome of box office revenue?. Journal of Electronic Commerce Research, 12(3), 187.
  44. Ratchford, B. T., Talukdar, D., &Lee, M. S. (2001). A model of consumer choice of the Internet as an information source. International Journal of Electronic Commerce, 5(3), 7-21.
  45. Richins, M. L. (1983). Negative word-of-mouth by dissatisfied consumers: A pilot study. Journal of marketing, 47(1), 68-78.
  46. Rui, H., Liu, Y., &Whinston, A. B. (2010, December). Chatter Matters: How Twitter Can Open the Black Box of Online Wordof-Mouth. In ICIS (p. 204).
  47. Seok, J., Lee, Y., & Kim, B. D. (2018). Impact of Publicizing Corporate Social Responsibility on Brand Performance: The Moderating Effect of Brand Nationality. In 2018 Korea Marketing Conference, Korean Marketing Association, Busan, Korea (pp. 20-21).
  48. Seok, J., Kim, B. D., & Go, S. (2019). Impact of R&D Investment on Firm Value: The Role of Customer Awareness. Journal of Korean Society of Consumer Studies, 30(1), 43-67.
  49. Seok, J., Lee, Y., & Kim, B. D. (2018, July). Do Actions Speak Louder Than Words? The Power of Publicizing Corporate Social Responsibility. In 2018 Global Marketing Conference at Tokyo (pp. 435-435).
  50. Seok, J., Lee, Y., GO, S., & Kim, B. D. (2017). Impact of Publicizing Corporate Social Responsibility on Firm Value. Korean Management Review, 46(6), 1663-1688.
  51. Servaes, H., & Tamayo, A. (2013). The impact of corporate social responsibility on firm value: The role of customer awareness. Management Science, 59(5), 1045-1061.
  52. Shah, S., Ahmed, A., & Ahmad, N. (2013). Role of packaging in consumer buying behavior. International Review of Basic and Applied Sciences, 1(2), 35-41.
  53. Sotiriadis, M. D., & Van Zyl, C. (2013). Electronic word-of-mouth and online reviews in tourism services: the use of twitter by tourists. Electronic Commerce Research, 13(1), 103-124.
  54. Statista (2017). "Number of social media users worldwide 2010-2021"(accessed March9, 2019), [Available at: https://www.statista.com/statistics/278414/number-of-worldwide-social-network-users]
  55. Stauss, B. (1997). Global word of mouth: Service bashing on the internet is a thorny issue. Marketing Management, 6(3), 28-30
  56. Wagner, C., & Bolloju, N. (2005). Supporting knowledge management in organizations with conversational technologies: Discussion forums, weblogs, and wikis. Journal of Database Management, 16(2), I.
  57. Wooldridge, Jeffrey M.(2016), Introductory econometrics: A modern approach 6th edition, Cengage Learning.
  58. Yoo, C. J., Ahn, K. H., & Park, S. W. (2011). A Study of the Influence of Online Wordof-Mouth on the Customer Purchase Intention. Asia Marketing Journal, 13(3), 209-231.
  59. Yuksel, S. (2017). The impacts of research and development expenses on export and economic growth. International Business and Accounting Research Journal, 1(1), 1-8.