The Pervasive Influence of Electronic Word of Mouth (eWOM) on Today’s Social Consumer

  • Francisco Rejón-Guardia
  • Francisco J. Martínez-López
Chapter
Part of the Progress in IS book series (PROIS)

Abstract

Social networking sites (SNSs) are a booming worldwide phenomenon with enormous business potential for companies to communicate with their target-audience consumers and spread their brand-related messages. One of the notable distinguishing characteristics of SNSs, when compared to previous Web 1.0-based communication tools, is the active role that consumers play in the communication process with companies and, even more importantly, with other consumers. SNSs provide a setting where commentaries, analyses and recommendations about brands, products and services are communicated. EWOM is a unique and powerful consequence of SNSs. In this chapter, we perform a conceptual analysis of eWOM, of the motivations for engaging in it and of its effects on consumers’ behavior, paying special attention to the type of eWOM that takes place in SNSs. Finally, some relevant managerial implications and research opportunities are discussed.

Keywords

WOM eWOM Motivations Effects in consumers’ behavior Social networks 

References

  1. Andersen, P. H. (2005). Relationship marketing and brand involvement of professionals through web-enhanced brand communities: The case of Coloplast. Industrial Marketing Management, 34(1), 39–51.CrossRefGoogle Scholar
  2. Bagherjeiran, A., Bhatt, R. P., Parekh, R., & Chaoji, V. (2010). Online advertising in social networks. Springer Science+Business Media.Google Scholar
  3. Balasubramanian, S., & Mahajan, V. (2001). The economic leverage of the virtual community. International Journal of Electronic Commerce, 5, 103–138.Google Scholar
  4. Blackwell, R. D., Miniard, P. W., & Engel, J. F. (2005). Word-of-Mouth Influence. Consumer Behavior (010 ed., pp. 728–730). South-Western College Publication.Google Scholar
  5. Bonds-Raacke, J., & Raacke, J. (2010). MySpace and Facebook: Identifying dimensions of uses and gratifications for friend networking sites. Individual Differences Research, 8(1), 27–33.Google Scholar
  6. Boyd, D. M., & Ellison, N. B. (2007). Social network sites: definition, history, and scholarship. Journal of Computer-Mediated Communication, 13(1). Retrieved September 30, 2011, from http://jcmc.indiana.edu/vol13/issue1/boyd.ellison.html#references
  7. Brown, J. J., & Reingen, P. H. (1987a). Social ties and word-of-mouth referral behavior. Journal of Consumer Research, 350–362.Google Scholar
  8. Brown, T. J., Barry, T. E., Dacin, P. A., & Gunst, R. F. (2005). Spreading the word: Investigating antecedents of consumers’ positive word-of-mouth intentions and behaviors in a retailing context. Journal of the Academy of Marketing Science, 33(2), 123–138.CrossRefGoogle Scholar
  9. Cheng, W. (2009). The moderating effects of perceived risk and product involvement towards satisfaction and online Word-of-Mouth.Google Scholar
  10. Cheng, X., & Zhou, M. (2010). Study on effect of ewom: A literature review and suggestions for future research. Management and Service Science (MASS), International Conference on 2010 (pp. 1–4).Google Scholar
  11. Cheung, C.M.K., & Thadani, D. R. (2010). The effectiveness of electronic Word-of-Mouth communication: A literature analysis. 23rd Bled eConference eTrust: Implications for the individual, enterprises and society, Bled, Slovenia.Google Scholar
  12. Cheung, C. M. K., & Thadani, D. R. (2012). The impact of electronic word-of-mouth communication: A literature analysis and integrative model. Decision Support Systems, 54(1), 461–470.CrossRefGoogle Scholar
  13. Cheung, C. M. K., Lee, M., & Thadani, D. (2009). The impact of positive electronic word-of-mouth on consumer online purchasing decision. Visioning and engineering the knowledge society. A Web Science Perspective, 501–510.Google Scholar
  14. 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.CrossRefGoogle Scholar
  15. Chien-Huang, L., Ya-Chung, S., Yueh-Chiang, L., and Shih-Chia, W. (2007). How instant messaging affects the satisfaction of virtual interpersonal behavior of taiwan junior high school students. Adolescence, 42(166), 417–30.Google Scholar
  16. Chu, S.-C., & Choi, S. M. (2011). Electronic Word-of-Mouth in social networking sites: A cross-cultural study of the United States and China. Journal of Global Marketing, 24(3), 263–281.CrossRefGoogle Scholar
  17. Chu, S.-C., & Kim, Y. (2011). Determinants of consumer engagement in electronic word-of-mouth (eWOM) in social networking sites. International Journal of Advertising, 30(1), 47–75.CrossRefGoogle Scholar
  18. De Matos, C. A., & Rossi, C. A. V. (2008). Word-of-mouth communications in marketing: a meta-analytic review of the antecedents and moderators. Journal of the Academy of Marketing Science, 36(4), 578–596.CrossRefGoogle Scholar
  19. Dellarocas, C., Zhang, X (Michael), & Awad, N. F. (2007). Exploring the value of online product reviews in forecasting sales: The case of motion pictures. Journal of Interactive Marketing, 21(4), 23–45.CrossRefGoogle Scholar
  20. Dichter, E. (1966). How word-of-mouth advertising works. Harvard Business Review, 44(6), 147–166.Google Scholar
  21. Doh, S.-J., & Hwang, J.-S. (2009). How consumers evaluate eWOM (electronic Word-of-Mouth) messages. CyberPsychology and Behavior, 12(2), 193–197.CrossRefGoogle Scholar
  22. Dwyer, P. (2007). Measuring the value of electronic word of mouth and its impact in consumer communities. Journal of Interactive Marketing, 21(2), 63–79.CrossRefGoogle Scholar
  23. Garrigos-Simon, F. J., Alcamí, R. L., and Ribera, T. B. (2012). Social networks and Web 3.0: Their impact on the management and marketing of organizations. Management Decision, 50(10), 1880–1890.Google Scholar
  24. Gathright, G., & Wignall, C. D. (2009). Word-of-Mouth learning in social networks. Landscape (pp. 1–25). Presented at the ASREC09. Retrieved from http://www.thearda.com/asrec/archive/papers/Gathright-Wignall%20-%20Social%20Networks%20-%20ASREC09.pdf
  25. Gilly, M. C., Graham, J. L., Wolfinbarger, M. F., & Yale, L. J. (1998). A dyadic study of interpersonal information search. Journal of the Academy of Marketing Science, 26(2), 83–100.CrossRefGoogle Scholar
  26. Goldsmith, R. E., & Horowitz, D. (2006). Measuring motivations for online opinion seeking. Journal of Interactive Advertising, 6(2), 1–16.CrossRefGoogle Scholar
  27. Granovetter, M. (1973). The strength of weak ties. American Journal of Sociology, 78(6), 1360–1380.CrossRefGoogle Scholar
  28. Gruen, T. W., Osmonbekov, T., & Czaplewski, A. J. (2006). eWOM: The impact of customer-to-customer online know-how exchange on customer value and loyalty. Journal of Business Research, 59(4), 449–456.CrossRefGoogle Scholar
  29. Guadagno, R. E., & Cialdini, R. B. (2005). Online persuasion and compliance: Social influence on the Internet and beyond. New York: Oxford University Press. Retrieved from http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.2.6571
  30. Gupta, P., & Harris, J. (2010). How e-WOM recommendations influence product consideration and quality of choice: A motivation to process information perspective. Journal of Business Research, 63(9), 1041–1049.CrossRefGoogle Scholar
  31. Heitmann, M., Lehmann, D. R., & Herrmann, A. (2007). Choice goal attainment and decision and consumption satisfaction. Journal of Marketing Research, 44(2), 234–250.CrossRefGoogle Scholar
  32. Helliwell, J. F., & Putnam, R. D. (1995). Economic growth and social capital in Italy. Eastern Economic Journal, 21(3), 295–307.Google Scholar
  33. 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.Google Scholar
  34. Hennig-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.CrossRefGoogle Scholar
  35. Hsieh, J. K., Hsieh, Y. C., & Tang, Y. C. (2012). Exploring the disseminating behaviors of eWOM marketing: persuasion in online video. Electronic Commerce Research, 17 March 2012, 1–24.Google Scholar
  36. Hung, K. H., & Li, S. Y. (2010). The influence of eWOM on virtual consumer communities: Social capital, consumer learning, and behavioral outcomes. Journal of Advertising Research, 47(4), 485.CrossRefGoogle Scholar
  37. 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.CrossRefGoogle Scholar
  38. Lee, J., & Lee, J.-N. (2009). Understanding the product information inference process in electronic word-of-mouth: An objectivity-subjectivity dichotomy perspective. Information and Management, 46(5), 302–311.CrossRefGoogle Scholar
  39. Lee, M., & Youn, S. (2009). Electronic word of mouth (eWOM). International Journal of Advertising, 28(3), 473–499.CrossRefGoogle Scholar
  40. Lee, J., Park, D.-H., & Han, I. (2008). The effect of negative online consumer reviews on product attitude: An information processing view. Electronic Commerce Research and Applications, 7(3), 341–352.CrossRefGoogle Scholar
  41. Lee, M., Rodgers, S., & Kima, M. (2009). Effects of valence and extremity of eWOM on attitude toward the Brand and Website. Journal of Current Issues and Research in Advertising, 31(2), 1–11.CrossRefGoogle Scholar
  42. Lee, D., Kim, H. S., & Kim, J. K. (2012). The role of self-construal in consumers’ electronic word of mouth (eWOM) in social networking sites: A social cognitive approach. Computers in Human Behavior, 28(3), 1054–1062.CrossRefGoogle Scholar
  43. Leivadiotou, E., & Markopoulos, D. (2010). Cyber communities and electronic Word-of-Mouth: The use of facebook in the promotion of hospitality services. MIBES Transactions, 4(1), 138–151.Google Scholar
  44. Mangold, W. G., & Faulds, D. J. (2009). Social media: The new hybrid element of the promotion mix. Business Horizons, 52(4), 357–365.CrossRefGoogle Scholar
  45. Mittal, V., Huppertz, J. W., & Khare, A. (2008). Customer complaining: The role of tie strength and information control. Journal of Retailing, 84(2), 195–204.CrossRefGoogle Scholar
  46. Moorman, C., Zaltman, G., & Deshpande, R. (1992). Relationships between providers and users of market research: the dynamics of trust within and between organizations. Journal of Marketing Research, 29(3), 314–328.CrossRefGoogle Scholar
  47. Moorman, C., Deshpande, R., & Zaltman, G. (1993). Factors affecting trust in market research relationships. The Journal of Marketing, 57(1), 81–101.CrossRefGoogle Scholar
  48. Park, D. H., & Kim, S. (2008). The effects of consumer knowledge on message processing of electronic word-of-mouth via online consumer reviews. Electronic Commerce Research and Applications, 7(4), 399–410.CrossRefGoogle Scholar
  49. Park, C., & Lee, T. M. (2009). Information direction, website reputation and eWOM effect: A moderating role of product type. Journal of Business Research, 62(1), 61–67.CrossRefGoogle Scholar
  50. Phelps, J. E., Lewis, R., Mobilio, L., Perry, D., & Raman, N. (2004). Viral marketing or electronic word-of-mouth advertising: examining consumer responses and motivations to pass along email. Journal of Advertising Research, 44(4), 333–348.Google Scholar
  51. Pigg, K. E., & Crank, L. D. (2004). Building community social capital: The potential and promise of information and communications technologies. The Journal of Community Informatics, 1(1), 58–73.Google Scholar
  52. Probst, F. (2011). Predicting users’ future level of communication activity in online social networks: A first step towards more advertising effectiveness. AMCIS (p. 39). Presented at the Proceedings of the 17th Americas Conference on Information Systems, Detroit, Michigan: University of Augsburg.Google Scholar
  53. Raacke, J., & Bonds-Raacke, J. (2008). MySpace and Facebook: Applying the uses and gratifications theory to exploring friend-networking sites. Cyberpsychology and Behavior, 11(2), 169–174.CrossRefGoogle Scholar
  54. Riegner, C. (2007). Word of mouth on the web: The impact of Web 2.0 on consumer purchase decisions. Journal of Advertising Research, 47(4), 436–447.CrossRefGoogle Scholar
  55. Rogers, E. M., & Bhowmik, D. K. (1970). Homophily-heterophily: Relational concepts for communication research. Public Opinion Quarterly, 34(4), 523–538.CrossRefGoogle Scholar
  56. Roy, S. S. (2011). Exploring the propensity to share product information on social networks, University of Minnesota. Retrieved from http://purl.umn.edu/117151
  57. Sen, S. (2008). Determinants of consumer trust of virtual Word-of-Mouth: An observation study from a retail website. Journal of American Academy of Business, 14(1), 30. Cambridge.Google Scholar
  58. Sharma, R. S., & Pandey, T. (2011). The impact of electronic word-of-mouth in the distribution of digital goods. Webology, 8(1), 1–13.Google Scholar
  59. Shin, D. H. (2008). Understanding purchasing behaviors in a virtual economy: Consumer behavior involving virtual currency in Web 2.0 communities. Interacting with Computers, 20(4–5), 433–446.CrossRefGoogle Scholar
  60. Smith, J. B., & Bristor, J. M. (1994). Uncertainty orientation: Expalaining diffeerences in purchase involvement and external search. Psychology and Marketing, 11(6), 587–607.CrossRefGoogle Scholar
  61. Smith, T., Coyle, J. R., Lightfoot, E., & Scott, A. (2007). Reconsidering models of influence: The relationship between consumer social networks and Word-of-Mouth effectiveness. Journal of Advertising Research, 47(4), 387–397.CrossRefGoogle Scholar
  62. Stockman, S. (2010). Advertising in online social networks: A comprehensive overview. Honors scholar theses. Retrieved from http://digitalcommons.uconn.edu/srhonors_theses/168
  63. Strutton, D., Taylor, D. G., & Thompson, K. (2011). Investigating generational differences in e-WOM behaviours. International Journal of Advertising, 30(4), 559–586.CrossRefGoogle Scholar
  64. Sun, T., Youn, S., Wu, G., & Kuntaraporn, M. (2006). Online Word-of-Mouth (or Mouse): An exploration of its antecedents and consequences. Journal of Computer-Mediated Communication, 11(4), 1104–1127.CrossRefGoogle Scholar
  65. Sundaram, D. S., Mitra, K., & Webster, C. (1998). Word-of-mouth communications: A motivational analysis. Advances in Consumer Research, 25(1), 527–531.Google Scholar
  66. Susarla, A., Oh, J., and Tan, Y. (2010). Word of mouth dynamics in online social networks: Investigating social influence cascades on YouTube. WISE 2010, (Work in Progress).Google Scholar
  67. Sweeney, J. C., Soutar, G. N., & Mazzarol, T. (2008). Factors influencing word of mouth effectiveness: receiver perspectives. European Journal of Marketing, 42(3/4), 344–364.CrossRefGoogle Scholar
  68. Thelwall, M., Wilkinson, D., & Uppal, S. (2010). Data mining emotion in social network communication: Gender differences in MySpace. Journal of the American Society for Information Science and Technology, 61(1), 190–199.CrossRefGoogle Scholar
  69. Tong, W. U., & Yang, X. (2010). Electronic word of mouth in online social networks. Second International Conference on Communication Systems Networks and Applications, 2010, 249–253.Google Scholar
  70. Trusov, M., Bucklin, R. E., & Pauwels, K. (2009). Effects of Word-of-Mouth versus traditional marketing: findings from an internet social networking site. Journal of Marketing, 73(5), 90–102.CrossRefGoogle Scholar
  71. Urbany, J. E., Dickson, P. R., & Wilkie, W. L. (1989). Buyer uncertainty and information search. Journal of Consumer Research, 208–215.Google Scholar
  72. Vollmer, C., & Precourt, G. (2008). Always on: Advertising, marketing and media in an era of consumer control. McGraw-Hill Professional.Google Scholar
  73. Wang, K.-Y., Thongpapanl, N., Wu, H.-J., & Ting, I.-H. (2011). Identifying structural heterogeneities between online social networks for effective word-of-mouth marketing. International Conference on Advances in Social Networks Analysis and Mining, 2011, 418–422.CrossRefGoogle Scholar
  74. Wangenheim, F. V. (2005). Postswitching negative word of mouth. Journal of Service Research, 8(1), 67–78.CrossRefGoogle Scholar
  75. Wixom, B.H., Todd, P.A. (2005), "A theoretical integration of user satisfaction and technology acceptance". Information Systems Research, 16(1), 85–102.Google Scholar
  76. WOMMA. (2012). WOM definition. http://www.wommapedia.org/ Retrieved from http://www.wommapedia.org/
  77. Wu, P. C. S., & Wang, Y.-C. (2011). The influences of electronic word-of-mouth message appeal and message source credibility on brand attitude. Asia Pacific Journal of Marketing and Logistics, 23(4), 448–472.CrossRefGoogle Scholar
  78. Xingyuan, W., Li, F., & Wei, Y. (2010). How do they really help? An empirical study of the role of different information sources in building brand trust. Journal of Global Marketing, 23(3), 243–252.CrossRefGoogle Scholar
  79. Zhang, M., Jansen, B. J., & Chowdhury, A. (2011). Business engagement on Twitter: a path analysis. Electronic Markets, 21(3), 161–175.CrossRefGoogle Scholar
  80. Zhu, F., & Zhang, X. (Michael) (2010). Impact of online consumer reviews on sales: The moderating role of product and consumer characteristics. Journal of Marketing, 74(2), 133–148.CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Francisco Rejón-Guardia
    • 1
  • Francisco J. Martínez-López
    • 2
  1. 1.University of GranadaGranadaSpain
  2. 2.University of Granada; and Open University of CataloniaCataloniaSpain

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