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Articles

The current state of knowledge on electronic word-of-mouth in advertising research

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Pages 1-13 | Received 05 Oct 2017, Accepted 07 Nov 2017, Published online: 29 Jan 2018

References

  • Araujo, T., P. Neijens, and R. Vliegenthart. 2017. Getting the word out on Twitter: The role of influentials, information brokers and strong ties in building word-of-mouth for brands. International Journal of Advertising 36, no. 3: 496–513.
  • Balasubramanian, S. and V. Mahajan. 2001. The economic leverage of the virtual community. International Journal of Electronic Commerce 5, no. 3: 103–38.
  • Brown, J., A.J. Broderick, and N. Lee. 2007. Word of mouth communication within online communities: Conceptualizing the online social network. Journal of Interactive Marketing 21, no. 3: 2–20.
  • Carlson, M. 2015. When news sites go native: Redefining the advertising–editorial divide in response to native advertising. Journalism 16, no. 7: 849–65.
  • Carr, C.T. and R.A. Hayes. 2014. The effect of disclosure of third-party influence on an opinion leader's credibility and electronic word of mouth in two-step flow. Journal of Interactive Advertising 14, no. 1: 38–50.
  • Chatterjee, P. 2011. Drivers of new product recommending and referral behaviour on social network sites. International Journal of Advertising 30, no. 1: 77–101.
  • Chen, Y., S. Fay, and Q. Wang. 2011. The role of marketing in social media: How online consumer reviews evolve. Journal of Interactive Marketing 25, no. 2: 85–94.
  • Cheung, C.M.K. and D.R. Thadani. 2012. The impact of electronic word-of-mouth communication: A literature analysis and integrative model. Decision Support Systems 54, no. 1: 461–70.
  • Chevalier, J.A. and D. Mayzlin. 2006. The effect of word of mouth on sales: Online book reviews. Journal of Marketing Research 43, no. 3: 345–54.
  • Chiu, H.C., Y.C. Hsieh, Y.H. Kao, and M. Lee. 2007. The determinants of email receivers’ disseminating behaviors on the Internet. Journal of Advertising Research 47, no. 4: 524–34.
  • Cho, S., J. Huh, and R.J. Faber. 2014. The influence of sender trust and advertiser trust on multistage effects of viral advertising. Journal of Advertising 43, no. 1: 100–14.
  • Choi, Y.K., S. Yoon, and C.R. Taylor. 2015. How character presence in advergames affects brand attitude and game performance: A cross-cultural comparison. Journal of Consumer Behaviour 14, no. 6: 357–65.
  • Chu, S.C., H.T. Chen, and Y. Sung. 2016. Following brands on twitter: An extension of theory of planned behavior. International Journal of Advertising 35, no. 3: 421–37.
  • Chu, S.C. and Y. Kim. 2011. Determinants of consumer engagement in electronic word-of-mouth (eWOM) in social networking sites. International Journal of Advertising 30, no. 1: 47–75.
  • Chu, S.C. and Y. Sung. 2015. Using a consumer socialization framework to understand electronic word-of-mouth (eWOM) group membership among brand followers on Twitter. Electronic Commerce Research and Applications 14, no. 4: 251–60.
  • Colliander, J., M. Dahl'en, and E. Modig. 2015. Twitter for two: Investigating the effects of dialogue with customers in social media. International Journal of Advertising 34, no. 2: 181–94.
  • Craig, C.S., W.H. Greene, and A. Versaci. 2015. E-word of mouth: Early predictor of audience engagement: How pre-release “e-WOM” drives box-office outcomes of movies. Journal of Advertising Research 55, no. 1: 62–72.
  • Daugherty, T., H. Li, and F. Biocca. 2008. Consumer learning and the effects of virtual experience relative to indirect and direct product experience. Psychology & Marketing 25, no. 7: 568–86.
  • De Bruyn, A. and G.L. Lilien. 2008. A multi-stage model of word-of-mouth influence through viral marketing. International Journal of Research in Marketing 25, no. 3: 151–63.
  • Dellarocas, C. 2003. The digitization of word-of-mouth: Promise and challenge of online feedback mechanisms. Management Science 49, no. 10: 1407–24.
  • De Veirman, M., V. Cauberghe, and L. Hudders. 2017. Marketing through Instagram influencers: The impact of number of followers and product divergence on brand attitude. International Journal of Advertising 36, no. 5: 798–828.
  • Dwyer, P. 2007. Measuring the value of electronic word of mouth and its impact in consumer communities. Journal of Interactive Marketing 21, no. 2: 63–79.
  • Eckler, P. and P. Bolls. 2011. Spreading the virus: Emotional tone of viral advertising and its effect on forwarding intentions and attitudes. Journal of Interactive Advertising 11, no. 2: 1–11.
  • Eisingerich, A.B., H.E. H. Chun, Y. Liu, H. M. Jia, and S.J. Bell. 2015. Why recommend a brand face-to-face but not on Facebook? How word-of-mouth on online social sites differs from traditional word-of-mouth. Journal of Consumer Psychology 25, no. 1: 120–8.
  • Engel, J.F., R.D. Blackwell, and R.J. Kegerreis. 1969. How information is used to adopt an innovation. Journal of Advertising Research 9, no. 4: 3–8.
  • Farías, P. 2017. Identifying the factors that influence eWOM in SNSs: The case of Chile. International Journal of Advertising 36, no. 6: 852–69.
  • Feick, L.F. and L.L. Price. 1987. The market maven: A diffuser of marketplace information. Journal of Marketing 51, no. 1: 83–97.
  • Fogel, S. 2010. Issues in measurement of word of mouth in social media marketing. International Journal of Integrated Marketing Communications 2: 54–60.
  • Fong, J. and S. Burton. 2006. Electronic word-of-mouth: A comparison of stated and revealed behavior on electronic discussion boards. Journal of Interactive Advertising 6, no. 2: 61–70.
  • Freeman, J., S.E. Avons, D.E. Pearson, and W.A. IJsselsteijn. 1999. Effects of sensory information and prior experience on direct subjective ratings of presence. Presence: Teleoperators and Virtual Environments 8, no.1: 1–13.
  • Frenzen, J. and K. Nakamoto. 1993. Structure, cooperation, and the flow of market information. Journal of Consumer Research 20, no. 3: 360–75.
  • Fulgoni, G.M. and A. Lipsman. 2015. Digital word of mouth and its offline amplification: A holistic approach to leveraging and amplifying all forms of WOM. Journal of Advertising Research 55, no. 1: 18–21.
  • Gilly, M.C., J.L. Graham, M.F. Wolfinbarger, and L.J. Yale. 1998. A dyadic study of interpersonal information search. Journal of the Academy of Marketing Science 26, no. 2: 83–100.
  • Godes, D. and D. Mayzlin. 2004. Using online conversations to study word of mouth communication. Marketing Science 23, no. 4: 545–60.
  • Goldsmith, R.E. and R.A. Clark. 2008. An analysis of factors affecting fashion opinion leadership and fashion opinion seeking. Journal of Fashion Marketing & Management 12, no. 3: 308–22.
  • Goldsmith, R.E. and D. Horowitz. 2006. Measuring motivations for online opinion seeking. Journal of Interactive Advertising 6, no. 2: 1–16.
  • Grewal, R., T.W. Cline, and A. Davies. 2003. Early-entrant advantage, word-of-mouth communication, brand similarity, and the consumer decision-making process. Journal of Consumer Psychology 13, no. 3: 187–97.
  • Hayes, J.L. and K.W. King. 2014. The social exchange of viral ads: Referral and coreferral of ads among college students. Journal of Interactive Advertising 14, no. 2: 98–109.
  • Hennig-Thurau, T., K.P. Gwinner, G. Walsh, and D.D. Gremler. 2004. Electronic word-of-mouth via consumer-opinion platforms: What motivates consumers to articulate themselves on the Internet? Journal of Interactive Marketing 18, no. 1: 38–52.
  • Huang, L., J. Zhang, H. Liu, and L. Liang. 2014. The effect of online and offline word-of-mouth on new product diffusion. Journal of Strategic Marketing 22, no. 2: 177–89.
  • Hung, K.H. and S.Y. Li. 2007. The influence of eWOM on virtual consumer communities: Social capital, consumer learning, and behavioral outcomes. Journal of Advertising Research 47, no. 4: 485–95.
  • Interactive Advertising Bureau. 2013. The native advertising playbook. ( December 4), http://www.iab.net/media/file/IAB-Native-Advertising-Playbook2.pdf ( accessed September 6, 2017).
  • Jansen, B.J., M. Zhang, K. Sobel, and A. Chowdury. 2009. Twitter power: Tweets as electronic word of mouth. Journal of the American Society for Information Science and Technology 60, no. 11: 2169–88.
  • Jin, S.A.A. and J. Phua. 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, no. 2: 181–95.
  • Kareklas, I., D.D. Muehling, and T.J. Weber. 2015. Reexamining health messages in the digital age: A fresh look at source credibility effects. Journal of Advertising 44, no. 2: 88–104.
  • Keller, E. 2007. Unleashing the power of word-of-mouth: Creating brand advocacy to drive growth. Journal of Advertising Research 47 ( December): 448–52.
  • Kim, K., Y. Cheong, and H. Kim. 2017. User-generated product reviews on the Internet: The drivers and outcomes of the perceived usefulness of product reviews. International Journal of Advertising 36, no. 2: 227–45.
  • Knoll, J. 2016. Advertising in social media: A review of empirical evidence. International Journal of Advertising 35, no. 2: 266–300.
  • Kober, S.E. and C. Neuper. 2013. Personality and presence in virtual reality: Does their relationship depend on the used presence measure? International Journal of Human-Computer Interaction 29, no.1: 13–25.
  • Lee, J., C.D. Ham, and M. Kim. 2013. Why people pass along online video advertising: From the perspectives of the interpersonal communication motives scale and the theory of reasoned action. Journal of Interactive Advertising 13, no. 1: 1–13.
  • Lee, M., S. Rodgers, and M. Kim. 2009. Effects of valence and extremity of eWOM on attitude toward the brand and Website. Journal of Current Issues & Research in Advertising 31, no. 2: 1–11.
  • Lee, M. and S. Youn. 2009. Electronic word of mouth (eWOM): How eWOM platforms influence consumer product judgement. International Journal of Advertising 28, no. 3: 473–99.
  • Levy, S. and Y. Gvili. 2015. How credible is e-word of mouth across digital-marketing channels? The roles of social capital, information richness, and interactivity. Journal of Advertising Research 55 (March): 95–109.
  • Li, H., T. Daugherty, and F. Biocca. 2001. Characteristics of virtual experience in electronic commerce: A protocol analysis. Journal of Interactive Marketing 15, no. 3: 13–30.
  • Li, H., T. Daugherty, and F. Biocca. 2002. Impact of 3-D advertising on product knowledge, brand attitude, and purchase intention: The mediating role of presence. Journal of Advertising 31, no. 3: 43–57.
  • Lien, C.H. and Y. Cao. 2014. Examining WeChat users’ motivations, trust, attitudes, and positive word-of-mouth: Evidence from China. Computers in Human Behavior 41: 104–11.
  • Liu-Thompkins, Y. 2012. Seeding viral content: The role of message and network factors. Journal of Advertising Research 52 ( December): 465–78.
  • López, M. and M. Sicilia. 2014. eWOM as source of influence: The impact of participation in eWOM and perceived source trustworthiness on decision making. Journal of Interactive Advertising 14, no. 2: 86–97.
  • Mahajan, V., E. Muller, and R. Srivastava. 1990. Determination of adopter categories using innovation diffusion models. Journal of Marketing Research 27, no. 2: 37–50.
  • Maslowska, E., E.C. Malthouse, and S.F. Bernritter. 2017. Too good to be true: The role of online reviews’ features in probability to buy. International Journal of Advertising 36, no. 1: 142–63.
  • Moon, S.J., J.P. Costello, and D.M. Koo. 2017. The impact of consumer confusion from eco-labels on negative WOM, distrust, and dissatisfaction. International Journal of Advertising 36, no. 2: 246–71.
  • Okazaki, S. 2009. Social influence model and electronic word of mouth: PC versus mobile Internet. International Journal of Advertising 28, no. 3: 439–72.
  • Phelps, J.E., R. Lewis, L. Mobilio, D. Perry, and N. Raman. 2004. Viral marketing or electronic word-of-mouth advertising: Examining consumer responses and motivations to pass along email. Journal of Advertising Research 44, no. 4: 333–48.
  • Porter, L. and G.J. Golan. 2006. From subservient chickens to brawny men: A comparison of viral advertising to television advertising. Journal of Interactive Advertising 6, no. 2: 30–8.
  • Precourt, G. 2015. How word of mouth works in advertising. Journal of Advertising Research 55 ( March): 2–3.
  • Prendergast, G., D. Ko, and S.Y.V. Yuen. 2010. Online word of mouth and consumer purchase intentions. International Journal of Advertising 29, no. 5: 687–708.
  • San José-Cabezudo, R. and C. Camarero-Izquierdo. 2012. Determinants of opening-forwarding e-mail messages. Journal of Advertising 41, no. 2: 97–112.
  • See-To, E.W.K. and K.K.W. Ho. 2014. Value co-creation and purchase intention in social network sites: The role of electronic word-of-mouth and trust–A theoretical analysis. Computers in Human Behavior 31, no. 1: 182–9.
  • Senecal, S. and J. Nantel. 2004. The influence of online product recommendations on consumers’ online choices. Journal of Retailing 80, no. 1: 159–69.
  • Shan, Y. and K.W. King. 2015. The effects of interpersonal tie strength and subjective norms on consumers’ brand-related eWOM referral intentions. Journal of Interactive Advertising 15, no. 1: 16–27.
  • Shi, M. and A.C. Wojnicki. 2014. Money talks … to online opinion leaders: What motivates opinion leaders to make social-network referrals? Journal of Advertising Research 54, no. 1: 81–91.
  • Smith, T., J.R. Coyle, E. Lightfoot, and A. Scott. 2007. Reconsidering models of influence: The relationship between consumer social networks and word-of-mouth effectiveness. Journal of Advertising Research 47, no. 4: 387–97.
  • Statista 2017. Virtual reality (VR): Statistics & facts. https://www.statista.com/topics/2532/virtual-reality-vr/ (accessed December 16, 2017).
  • Steuer, J. 1992. Defining virtual reality: Dimensions determining telepresence. Journal of Communication 42, no. 4: 73–93.
  • Steyer, A., R. Garcia-Bardidia, and P. Quester. 2006. Online discussion groups as social networks: An empirical investigation of word-of-mouth on the Internet. Journal of Interactive Advertising 6, no. 2: 51–9.
  • Strutton, D., D.G. Taylor, and K. Thompson. 2011. Investigating generational differences in e-WOM behaviours: For advertising purposes, does X = Y?. International Journal of Advertising 30, no. 4: 559–86.
  • Taylor, C.R. 2017a. How to avoid marketing disasters: Back to the basic communications model, but with some updates illustrating the importance of e-word-of-mouth research. International Journal of Advertising 36, no. 4: 515–9.
  • Taylor, C.R. 2017b. Native advertising: The black sheep of the marketing family. International Journal of Advertising 36, no. 2: 207–9.
  • Thorson, K.S. and S. Rodgers. 2006. Relationships between blogs as eWOM and interactivity, perceived interactivity, and parasocial interaction. Journal of Interactive Advertising 6, no. 2: 39–50.
  • Vaish, R., Q.V. Liao, and V. Bellotti. 2018. What's in it for me? Self-serving versus other-oriented framing in messages advocating use of prosocial peer-to-peer services. International Journal of Human Computer Studies 109: 1–12.
  • Wallace, E., I. Buil, L. de Chernatony, and M. Hogan. 2014. Who likes you and why? A typology of Facebook fans: From “fan”-atics and self-expressives to utilitarians and authentics. Journal of Advertising Research 54, no. 1: 92–109.
  • Wang, S., N.R. Cunningham, and M.S. Eastin. 2015. The impact of eWOM message characteristics on the perceived effectiveness of online consumer reviews. Journal of Interactive Advertising 15, no. 2: 151–9.
  • Wojdynski, B.W., H. Bang, K. Keib, B.N. Jefferson, D. Choi, and J.L. Malson. 2017. Building a better native advertising disclosure. Journal of Interactive Advertising 17, 1–12 doi: 10.1080/15252019.2017.1370401
  • Wojdynski, B.W. and N.J. Evans. 2016. Going native: Effects of disclosure position and language on the recognition and evaluation of online native advertising. Journal of Advertising 45, no. 2: 157–68.
  • WOMMA. 2017. WOMMA code of ethics and standards of conduct. Word of Mouth Marketing Association. http://womma.org/ethics/ ( accessed September 6, 2017).
  • Yim, M.Y., S.C. Chu, and P. Sauer. 2017. Is augmented reality technology an effective tool for e-commerce? An interactivity and vividness perspective. Journal of Interactive Marketing 39: 89–103.
  • Yoon, Y., C. Polpanumas, and Y.J. Park. 2017. The impact of word of mouth via Twitter on moviegoers’ decisions and film revenues: Revisiting prospect theory: How WOM about movies drives loss-aversion and reference-dependence behaviors. Journal of Advertising Research 57, no. 2: 144–58.

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