Electronic Word-of-Mouth Advertising Versus Brand Strength: Effects On Consumers’ Purchasing Decision
Keywords:Word of Mouth, Brand Strength, Consumer, Marketing, Experiment, Behavioral
Purpose: The research compared the effect of electronic word-of-mouth advertising (e-WOM) and brand strength in consumers' decision to purchase an experience product and service.
Theoretical framework: There is no clarity of the most significant influencer of the purchase decision: (1) being a strong brand induced by the company's efforts or (2) other consumers praise it, or (3) this praise intensifies the influence of brands previously strong. The research aimed at the possible generalization of these effects to experience product and service.
Method: In two between-group experiments, consumers presented their strong or weak brand purchasing decisions with the positive, negative, or neutral presence of e-WOM for a product (smartphone) and a service (hosting reservation), both of experience. The authors used logistic regressions containing the purchase decision as the dependent variable.
Findings: The results show the positive direct and moderating effects of e-WOM on the relationship between brand strength and purchase decision, with little difference between product and service. Positive e-WOM is more remarkable for the weak brand than for the strong brand (bracing effect). Negative e-WOM is greater for the strong brand than for the weak brand (weakening effect). Finally, negative e-WOM reduces the purchase decision probability for both brand strengths (aversive effect).
Research implications: The study reveals patterns of e-WOM effects (bracing, weakening, aversive, and supplementary) on the influence of brand strength on purchase decisions.
Originality: This paper brings the implications of e-WOM effects for brand management, revealing its patterns for better control.
Almeida, M. I. S., Coelho, R. L. F., Porto, R. B., & Santos, J. A. (2020). Predictors of intention-purchase correspondence and programmed reinforcement levels of specialty brands. Brazilian Journal of Marketing, 19(4), 738-761. https://doi.org/10.5585/remark.v19i4.11126
Babic, A., Sotgiu, F., Valck, K., & Bijmolt, T.H.A. (2016). The effect of electronic word of mouth on sales. Journal of Marketing Research, 53(3), 297-318. https://doi.org/10.1509/jmr.14.0380
Baker, A. M., & Donthu, N. (2018). Word-of-mouth processes in marketing new products: recent research and future opportunities. In P. Gorder, & D. Mitra (Eds.), Handbook of Research on New Product Development (pp. 313-335). Northampton USA: Edward Elgar Publishing.
Balagi, M.S., Wei, K.K., & Chong, A.Y.L. (2016). Determinants of negative word-of-mouth communication using social networking sites. Information & Management, 53(4), 528-540. https://doi.org/10.1016/j.im.2015.12.002
Bilim, Y., & Basoda, A. (2014). On line consumer comments (E-Wom): A case qualitative analysis on resort hotel consumers. International Journal of Social, Management, Economics and Business Engineering, 8(6), 1692-1696. https://doi.org/10.5281/zenodo.1093311
Casaló, L.V., Flávian, C., Guinalíu, M., & Ekinci, Y. (2015). Avoiding the dark side of positive online consumer reviews: Enhancing reviewers' usefulness for high risk-averse travelers. Journal of Business Research, 68(9), 1829-1835. https://doi.org/10.1016/j.jbusres.2015.01.010
Chatterjee, P. (2001). Online reviews: Do consumers use them? In Mary C. Gilly & Joan Meyers-Levy (Eds), Advances in Consumer Research (pp.129–133). Valdosta, GA: Association for Consumer Research.
Chen, S. (2001). Assessing the impact of the internet on brands. Brand Management, 8(5), 288-302. https://doi.org/10.1057/palgrave.bm.2540029
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. https://doi.org/10.1509/jmkr.43.3.345
Christodoulides, G., & De Chernatony, L. (2010). Consumer-based brand equity conceptualisation and measurement: a literature review. International Journal of Market Research, 52(1), 43-66. https://doi.org/10.2501/S1470785310201053
Duan, W., Gu, B., & Whinston, A. B. (2008). Do online reviews matter? An empirical investigation of panel data. Decision Support Systems, 45(4), 1007–1016. https://doi.org/10.1016/j.dss.2008.04.001
Eisingerich, A. B., Chun, H. H., Liu, Y., Jia, H. M., & Bell, S. J. (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(1), 120-128. https://doi.org/10.1016/j.jcps.2014.05.004
East, R., Hammond, K., & Lomax, W. (2008). Measuring the impact of positive and negative word of mouth on brand purchase probability. International Journal of Research in Marketing, 25(3), 215–224. https://doi.org/10.1016/j.ijresmar.2008.04.001
Foxall, G.R. (1992). The behavioral perspective model of purchase and consumption: From consumer theory to marketing practice. Journal of the Academy of Marketing Science, 20, 189–198. https://doi.org/10.1007/BF02723458
Foxall, G. R. (2015). Consumer behaviour: A practical guide. New York: Routledge.
Foxall, G. R., Oliveira-Castro, J. M.., & Porto, R. B. (2021). Consumer behavior analysis and the marketing firm: measures of performance. Journal of Organizational Behavior Management, 41(2), 97-123. https://doi.org/10.1080/01608061.2020.1860860
Gilbert, D., & Hewlett, J. (2003). A method for the assessment of relative brand strength: A UK tour operator example. The Service Industries Journal, 23(3), 166-182. https://doi.org/10.1080/02642060412331300942
Grohs, R., Raies, K., Koll, O., & Mühlbacher, H. (2015). One pie, many recipes: Alternative paths to high brand strength. Journal of Business Research, 69 (6), 2244-2251. https://doi.org/10.1016/j.jbusres.2015.12.037
He, S.X., & Bond, S.D. (2015). Why is the crowd divided? Attribution for dispersion in online word of mouth. Journal of Consumer Research, 41(6), 1509-1527. https://doi.org/10.1086/680667
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. https://doi.org/10.1002/dir.10073
Hennig-Thurau, T., Wiertz, C., & Feldhaus, F. (2014). 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. https://doi.org/10.1007/s11747-014-0388-3
Higie, R. A., Feick, L. F., & Price, L. L. (1987). Types and amount of word-of-mouth communications about retailers. Journal of Retailing, 63(3), 260-278.
Ho-Dac, N.N., Carson, S.J., & Moore, W.L. (2013). The effects of positive and negative online customer reviewers: Do brand strength and category maturity matter? Journal of Marketing, 77(6), 37-53. https://doi.org/10.1509/jm.11.0011
Hoeffler, S., & Keller, K.L. (2003). The marketing advantage of strong brands. Journal of Brand Management, 10 (6), 421–45. https://doi.org/10.1057/palgrave.bm.2540139
Jiménez, F. R., & Mendoza, N. A. (2013). Too popular to ignore: The influence of online reviews on purchase intentions of search and experience products. Journal of Interactive Marketing, 27(3), 226-235. https://doi.org/10.1016/j.intmar.2013.04.004
Keller, K. L. (1993). Conceptualizing, measuring, and managing customer-based brand equity. Journal of Marketing, 57(1), 1-22. https://doi.org/10.1177/002224299305700101
Keller, K. L., & Lehmann, D. R. (2006). Brands and branding: Research findings and future priorities. Marketing Science, 25(6), 740-759. https://doi.org/10.1287/mksc.1050.0153
Ladhari, R., & Michaud, M. (2015). Ewom effects on hotel booking intentions, attitudes, trust, and website perceptions. International Journal of Hospitality Management, 46(4), 36-45. https://doi.org/10.1016/j.ijhm.2015.01.010
Luo, X., & Zhang, J. (2013). How do consumer buzz and traffic in social media marketing predict the value of the firm? Journal of Management Information Systems, 30(2), 213-238. https://doi.org/10.2753/MIS0742-1222300208
Maslowska, E., Malthouse, E. C., & Bernritter, S. F. (2017). Too good to be true: the role of online reviews' features in probability to buy. International Journal of Advertising, 36(1), 142-163. https://doi.org/10.1080/02650487.2016.1195622
Nadarajan, G., Bojei, J., & Khalid, H. (2017). The study on negative eWOM and its relationship to consumer's intention to switch mobile service provider. Procedia Computer Science, 124, 388-396. https://doi.org/10.1016/j.procs.2017.12.169
Nisar, T.M., Prabhakar, G., Ilavarasan, P.V. & Baabdullah, A.M. (2020). Up the ante: Electronic word of mouth and its effects on firm reputation and performance. Journal of Retailing and Consumer Services, 53(3), 1-9. https://doi.org/10.1016/j.jretconser.2018.12.010
Oliveira‐Castro, J. M., Cavalcanti, P. R., & Foxall, G. R. (2016). What consumers maximize: Brand choice as a function of utilitarian and informational reinforcement. Managerial and Decision Economics, 37(4-5), 360-371. https://doi.org/10.1002/mde.2722
Oliveira-Castro, J. M., Foxall, G. R., James, V. K., Pohl, R. H., Dias, M. B., & Chang, S. W. (2008). Consumer-based brand equity and brand performance. The Service Industries Journal, 28(4), 445-461. https://doi.org/10.1080/02642060801917554
Porto, R. B. (2018). Consumer-based brand equity of products and services: Assessing a measurement model with competing brands. Brazilian Journal of Marketing, 17(2), 150-165. https://doi.org/10.5585/remark.v17i2.3547
Porto, R. B., & Lima, N. S. R. (2015). Nonlinear impact of the marketing mix on brand sales performance. Brazilian Business Review, 12(5), 57-77. https://doi.org/10.15728/bbr.2015.12.5.4
Porto, R. B., & Melo, L. B. (2016). Intensidade de propaganda e precificação como fontes geradoras dos conflitos entre desempenhos de marcas. Revista de Administração da Unimep, 14(1), 54-79. https://doi.org/10.15600/1679-5350/rau.v14n1p54-79
Porto, R. B., & Oliveira-Castro, J. M. (2013). Say-do correspondence in brand choice: interaction effects of past and current contingencies. The Psychological Record, 63(2), 345-362. https://doi.org/10.11133/j.tpr.2013.63.2.009
Porto, R. B., & Oliveira-Castro, J. M. (2015). Consumer purchase and brand performance: the basis of brand market structure. In G. Foxall (Ed.), The Routledge companion to consumer behavior analysis (pp. 201-227). Routledge.
Severi, E., Ling, K. C., & Nasermoadeli, A. (2014). The impacts of electronic word of mouth on brand equity in the context of social media. International Journal of Business and Management, 9(8), 84-96. https://doi.org/10.5539/ijbm.v9n8p84
Sharma, S., Durand, R. M., & Gur-Arie, O. (1981). Identification and analysis of moderator variables. Journal of Marketing Research, 18(3), 291-300. https://doi.org/10.2307/3150970
Sun, Y., Gonzalez-Jimenez, H., & Wang, S. (2021). Examining the relationships between e-WOM, consumer ethnocentrism and brand equity. Journal of Business Research, 130(6), 564-573. https://doi.org/10.1016/j.jbusres.2019.09.040
Thao, T., & Shurong, T. (2020). Is it possible for "electronic word-of-mouth" and "user-generated content" to be used interchangeably? Journal of Marketing and Consumer Research, 65, 41–48. https://doi.org/10.7176/JMCR/65-04
TripAdvisor. (2021). About us. https://tripadvisor.mediaroom.com/br-about-us
Trusov, M., Randolph, E.B., & Pauwell, K. (2009). Estimating the dynamic effects of online word-of-mouth on member growth of a social network site. Journal of Marketing, 73(5), 90-102. https://doi.org/10.7176/JMCR/65-04
Uncles, M.D., East, R., & Lomax, W. (2010). Market share is correlated with word-of-mouth volume. Australasian Marketing Journal, 18(3), 145-150. https://doi.org/10.1016/j.ausmj.2010.03.001
Wu, W. Y., Do, T. Y., Nguyen, P. T., Anridho, N., & Vu, M. Q. (2020). An integrated framework of customer-based brand equity and theory of planned behavior: A meta-analysis approach. The Journal of Asian Finance, Economics, and Business, 7(8), 371-381. https://doi.org/10.13106/jafeb.2020.vol7.no8.371
Xie, H., Miao, L., Kuo, P.-J., & Lee, B.-Y. (2011). Consumers' responses to ambivalent online hotel reviews: The role of perceived source credibility and pre-decisional disposition. International Journal of Hospitality Management, 30(1), 178–183. https://doi.org/10.1016/j.ijhm.2010.04.008
Xu, Q. (2014). Should I trust him? The effects of reviewer profile characteristics on eWOM credibility. Computers in Human Behavior, 33(4), 136-144. https://doi.org/10.1016/j.chb.2014.01.027
You, Y., Vadakkepatt, G. G., & Joshi, A. M. (2015). A meta-analysis of electronic word-of-mouth elasticity. Journal of Marketing, 79(2), 19-39. https://doi.org/10.1509/jm.14.0169
Zablocki, A., Schlegelmilch, B., & Houston, M. J. (2019). How valence, volume and variance of online reviews influence brand attitudes. AMS Review, 9, 61-77. https://doi.org/10.1007/s13162-018-0123-1
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Copyright (c) 2021 Rafael Barreiros Porto, Eluiza Alberto de Morais Watanabe, Mariana Matos Araújo Barrozo, Eurípedes Xavier de Souza Júnior
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