“Difícil de ler, Difícil de Acreditar”: Efeitos da (Dis)fluência na credibilidade de eWOMs e intenções de compra
DOI:
https://doi.org/10.5585/remark.v22i1.21421Palavras-chave:
eWOM, Valência, Fluência, Credibilidade, Intenção de compraResumo
Objetivo: investigar o impacto da Fluência (Facilidade) e Disfluência (Dificuldade) Perceptiva (características físico-visuais) e Conceitual (conteúdo/significados) na credibilidade dos eWOMs (Electronic Word-of-Mouth) e nas intenções de compra.
Metodologia: em dois experimentos on-line manipulamos a valência dos eWOMs (negativo versus positivo) e a (Dis)Fluência, testando os efeitos diretos dos eWOMs positivos nas intenções de compra (H3) e os efeitos mediadores da credibilidade (H1) de eWOMs negativos disfluentes (H2).
Relevância/originalidade: até onde sabemos, este é o primeiro estudo a verificar os efeitos da (Dis)Fluência dos eWOMs nas intenções de compra e os efeitos mediadores de sua credibilidade.
Principais resultados: embora estudos anteriores indiquem efeitos gerais simétricos da (Dis)Fluência em avaliações positivas e negativas, aqui demonstramos que apenas a credibilidade dos eWOMs negativos foi impactada pela Disfluência, resultando em um efeito indireto nas intenções de compra. A Disfluência não reduziu a credibilidade dos eWOMs positivos, mantendo um efeito direto enviesado. Ainda, esses resultados são válidos mesmo com consenso e múltiplas evidências de eWOMs.
Contribuição teórica: Demonstramos que os efeitos da (Dis)Fluência na credibilidade dos eWOMs (e intenções de compra) dependem da valência dos eWOMs. Especificamente, enquanto a Disfluência (legibilidade, ou dificuldade de recordação) afetou a percepção dos eWOMs negativos, esta não afetou os eWOMs positivos, mantendo sua credibilidade e induzindo deliberações mais rápidas.
Contribuições Sociais/Gerenciais: Ainda, essas manipulações de (Dis)Fluência são semelhantes às que ocorrem diariamente (como “tema/modo escuro” de smartphones e, variações de cores/tipos de fontes) com ou sem intenção do gestor, aumentando as intenções de compra.
Downloads
Referências
Aarts, H., & Dijksterhuis, A. (1999). How often did I do it? Experienced ease of retrieval and frequency estimates of past behavior. Acta Psychologica, 103(1-2), 77-89. https://doi.org/10.1016/S0001-6918(99)00035-9
Agnihotri, R., Dingus, R., Hu, M.Y., & Krush, M. (2016). Social media: Influencing customer satisfaction in B2B sales. Industrial Marketing Management, 53, 172–180. https://doi.org/10.1016/j.indmarman.2015.09.003
Alter, A.L., Oppenheimer, D. M., Epley, N., & Eyre, R. N. (2007). Overcoming intuition: Metacognitive difficulty activates analytic reasoning. Journal of Experimental Psychology: General, 136(4), 569-576. https://doi.org/10.1037/0096-3445.136.4.569
Alter, A.L., & Oppenheimer, D.M. (2008). Easy on the mind, easy on the wallet: The roles of familiarity and processing fluency in valuation judgments. Psychonomic Bulletin & Review, 15(5), 985-990. https://doi.org/10.3758/PBR.15.5.985
Alter, A.L., & Oppenheimer, D.M. (2009). Uniting the tribes of fluency to form a metacognitive nation. Personality and Social Psychology Review, 13(3), 219-235. https://doi.org/10.1177/1088868309341564
Alter, A.L. (2013). The benefits of cognitive disfluency. Current Directions in Psychological Science, 22(6), 437–442. https://doi.org/10.1177/0963721413498894
Allcott, H., & Gentzkow, M. (2017). Social media and fake news in the 2016 election. Journal of Economic Perspectives, 31(2), 211-236. https://doi.org/10.1257/jep.31.2.211
Aydin, A.E. (2016). Processing fluency: Examining its relationship with thinking style and purchase intention, Journal of Marketing Communications, 24(6), 588-598. https://doi.org/10.1080/13527266.2016.1167765
Balaji, M.S., Khong, K.W. & Chong, A.Y.L (2016). Determinants of negative word-of-mouth communication using social networking sites. Information & Management, 53, 528–540. https://doi.org/10.1016/j.im.2015.12.002
Bajšanski, I., Žauhar, V., & Valerjev, P. (2019). Confidence judgments in syllogistic reasoning: The role of consistency and response cardinality, Thinking & Reasoning, 25(1), 14-47. https://doi.org/10.1080/13546783.2018.1464506
Bowen, H. J., Kark, S. M. & Kensinger, E. A. (2018). NEVER forget: Negative emotional valence enhances recapitulation. Psychonomic Bulletin & Review, 25(3), 870-891. https://doi.org/10.3758/s13423-017-1313-9
Bookbinder, S. H., & Brainerd, C. J. (2017). Emotionally negative pictures enhance gist memory. Emotion, 17(1), 102-119. https://doi.org/10.1037/emo0000171
Brewin, C. R., & Langley, K. M. R. (2009). Imagery retrieval may explain why recall of negative scenes contains more accurate detail. Memory & Cognition, 47(3), 420-427. https://doi.org/10.3758/s13421-018-0876-7
Brown, J.; Broderick, a. J. E, Lee, N. (2007). Word of mouth communication within on-line communities: conceptualizing the on-line social network. Journal of Interactive Marketing, 21(3), 2-20. http://dx.doi.org/10.1002/dir.20082
Chen, Y., Yang, S., & Wang, Z. (2016). Service cooperation and marketing strategies of Infomediary and online retailer with eWOM effect. Information and Technology Management 17(2), 109-118. http://dx.doi.org/10.1007/s10799-015-0237-1
Cheung, M. Y., Luo, C., Sia, C. L., & Chen, H. (2009). Credibility of electronic word-of-mouth: Informational and normative determinants of online consumer recommendations, International Journal of Electronic Commerce, 13(4), 9-38. https://doi.org/10.2753/JEC1086-4415130402
Cheung, M.Y; Chuan, L.; Sia, C.L. & Huaping, C. (2007). How do People Evaluate Electronic Word-Of-Mouth? Informational and Normative Based Determinants of Perceived Credibility of Online Consumer Recommendations in China. Pacific Asia Conference on Information Systems 2007, Sections 1-6. Natl sun yat-sen univ, 2007. https://aisel.aisnet.org/pacis2007/18/
Claypool, H. M., Mackie, D. M., & Garcia-Marques, T. (2015). Fluency and attitudes. Social and Personality Psychology Compass, 9(7), 370–382. https://doi.org/10.1111/spc3.12179
Constable, M. D., Bayliss, A. P., Tipper, S. P., & Kritikos, A. (2013). Self-generated cognitive fluency as an alternative route to preference formation. Consciousness and Cognition, 22(1), 47–52. https://doi.org/10.1016/j.concog.2012.11.006
Dellarocas, C. (2003). The digitization of word of mouth: promise and challenges of online feedback mechanisms. Management Science, 49(10), 1407-1424. http://dx.doi.org/10.1287/mnsc.49.10.1407.17308
Diemand-Yauman, C., Oppenheimer, D. M., & Vaughan, E. B. (2011). Fortune favors the BOLD (and the Italicized): Effects of disfluency on educational outcomes. Cognition, 118(1), 111-5. https://doi.org/10.1016/j.cognition.2010.09.012
Epley, N., & Gilovich, T. (2006). The anchoring-and-Adjustment Heuristic: Why the Adjustments Are Insufficient. Psychological Science 17(4), 311-318. https://doi.org/10.1111/j.1467-9280.2006.01704.x
Garcia-Marques, T., Silva, R. R., & Mello, J. (2016). Judging the truth-value of a statement in and out of a deep processing context. Social Cognition, 34, 40–54. https://doi.org/10.1521/soco.2016.34.1.40
Goldsmith, R. E. e Horowitz, D. (2006). Measuring motivations for online opinion seeking. Journal of Interactive Advertising, 6(2), 2-14. https://doi.org/10.1080/15252019.2006.10722114
Haddock, G. (2002). It’s easy to like or dislike Tony Blair: Accessibility experiences and the favorability of attitude judgments. British Journal of Social Psychology, 93(2), 257-267. https://doi.org/10.1348/000712602162571
Hayes, A. F. (2018). Introduction to mediation, moderation, and conditional process analysis. New York: The Guilford Press.
Hartman, K.B.; Hunt, J.B. e Childers, C.Y. (2013). Effects of eWOM valence: examining consumer choice using evaluations of teaching. Journal of Behavioral Studies in Business, 6, 1-12. https://www.aabri.com/manuscripts/131623.pdf
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
Hernandez, I. & Preston, J. L. (2013). Disfluency disrupts the confirmation bias. Journal of Experimental Social Psychology, 49(1), 178–182. https://doi.org/10.1016/j.jesp.2012.08.010
Herr, P. M., Kardes, F. R., & Kim, J. (1991). The effects of word-of-mouth and product-attribute information on persuasion: An accessibility-diagnosticity perspective. Journal of Consumer Research, 17, 454–462. https://doi.org/10.1086/208570
Herr, P. M. & Page, C. M (2004). Asymmetric association of liking and disliking judgments: So what’s not to like? Journal of Consumer Research, 30(4), 588–601. https://doi.org/10.1086/380291
Herr, P. M., Page, C. M., Pfeiffer, B. E., & Davis, F. D. (2012). Affective influences on evaluative processing. Journal of Consumer Research, 38(5), 833-845. https://doi.org/10.1086/660844
Izogo, E.E., Jayawardhena, C. and Karjaluoto, H. (2022), "Negative eWOM and perceived credibility: a potent mix in consumer relationships", International Journal of Retail & Distribution Management, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/IJRDM-01-2022-0039
Kahneman, D. (2011). Rápido e Devagar: Duas formas de pensar. Rio de Janeiro: Objetiva.
Kensinger, E. A., & Schacter, D. L. (2008). Neural processes supporting young and older adults' emotional memories. Journal of Cognitive Neuroscience, 20(7), 1161-1173. https://doi.org/10.1162/jocn.2008.20080
Kensinger, E. A. (2009). Remembering the details: Effects of emotion. Emotion Review, 1(2), 99–113. https://doi.org/10.1177%2F1754073908100432
Kensinger, E. A., & Mark, S. M. (2018). Emotion and memory. In Stevens' handbook of experimental psychology and cognitive neuroscience. New York: John Wiley &Sons, inc. https://doi.org/10.1002/9781119170174.epcn101
Kim, J.; Naylor, G.; Sivadas, E. & Sugumaran, V. (2016). The unrealized value of incentivized eWOM recommendations. Mark Lett, Springer Science+Business Media, 27, p.411–421. http://dx.doi.org/10.1007/s11002-015-9360-3
Kim, J., & Gupta, P. (2012). Emotional expressions in online user reviews: How they influence consumers' product evaluations. Journal of Business Research, 65(7), 104–115. https://doi.org/10.1016/J.JBUSRES.2011.04.013
Kornell, N., Rhodes, M. G., Castel, A. D., & Tauber, S. K. (2011). The ease-of-processing heuristic and the stability bias dissociating memory, memory beliefs, and memory judgments. Psychological Science, 22(6), 787-794. https://doi.org/10.1177/0956797611407929
Korfiatis, N., García-Bariocanal, E., & Sánchez-Alonso, S. (2012). Evaluating content quality and helpfulness of online product reviews: The interplay of review helpfulness vs. review content. Electronic Commerce Research and Applications, 11(3), 205–217. http://dx.doi.org/10.1016/j.elerap.2011.10.003
Kozinets, R. V. (1999). E-tribalized marketing? The strategic implications of virtual communities of consumption. European Management Journal, 17, 252–264. https://doi.org/10.1016/S0263-2373(99)00004-3
Labroo, A. A., Dhar, R., & Schwarz, N. (2008). Of frog wines and frowing watches: Semantic priming, perceptual fluency, and brand evaluation. Journal of Consumer Research, 34(6), 819-831. https://doi.org/10.1086/523290
Labroo, A. A., & Pocheptsova, A. (2016). Metacognition and consumer judgment: Fluency is pleasant but disfluency ignites interest. Current Opinion in Psychology, 10, 154-159. https://doi.org/10.1016/j.copsyc.2016.01.008
Landwehr, J. R., Golla, B., & Reber, R. (2017). Processing fluency: An inevitable side effect of evaluative conditioning. Journal of Experimental Social Psychology, 70, 124–128. https://doi.org/10.1016/j.jesp.2017.01.004
Lazarus, R. S. (1991). Emotion and adaptation. New York: Oxford University Press.
Lazer, D. M, Baum, M. Benkler, Y., Berinsky, A. J., Greenhill, K. M, Menczer, F. & Metzge, M. J. (2018). The science of Fake News. Science, 9(359-6380), pp. 1094-1096. https://doi.org/10.1126/science.aao2998
Lee, S-H. (2009). How do online reviews affect purchasing intention? African Journal of Business Management, 3(10), 576-581. https://doi.org/10.5897/AJBM09.204
Lee, E-J., & Shin, S.Y. (2014). When do consumers buy online product reviews? Effects of review quality, product type, and reviewer’s photo. Computers in Human Behavior, 31, 356–366. https://doi.org/10.1016/j.chb.2013.10.050
Lin, T.M. Y, Lu, K-Y. & Wu, J-J. (2012). The effects of visual information in eWOM communication. Journal of Research in Interactive Marketing, 6(1), 7–26 http://dx.doi.org/10.1108/17505931211241341
Li, J.; Zhan, L. (2011). Online persuasion: How the written word drives WOM. Journal of Advertising Research, 51(1), 239–257. https://doi.org/10.2501/JAR-51-1-239-257
Madan, C. R., Scott, S. M. E., & Kensinger, E. A. (2019). Positive emotion enhances association-memory. Emotion, 19(4), 733-740. https://doi.org/10.1037/emo0000465
Maier, E., & Dost, F. (2018). The positive effect of contextual image backgrounds on fluency and liking. Journal of Retailing and Consumer Services, 40, 109-116. http://dx.doi.org/10.1016/j.jretconser.2017.09.003
Mendes-Da-Silva, W., & Yu, A. S. O. (2009). Análise empírica do senso de controle: Buscando entender o excesso de confiança. Revista de administração contemporânea, 13(2), 247-271. https://doi.org/10.1590/S1415-65552009000200006
Miele, D. B., & Molden, D. C. (2010). Naive theories of intelligence and the role of processing fluency in perceived comprehension. Journal of Experimental Psychology: General, 139(3), 535-557. https://doi.org/10.1037/a0019745
Moran, G., Muzellec, L., & Nolan, E. (2014). Consumer moments of truth in the digital context: How "search" and "e-word of mouth" can fuel consumer decision-making. Journal of Advertising Research, 54(2), 200-204. http://dx.doi.org/10.2501/JAR-54-2-200-204
Muda, M. and Hamzah, M.I. (2021), "Should I suggest this YouTube clip? The impact of UGC source credibility on eWOM and purchase intention", Journal of Research in Interactive Marketing, Vol. 15 No. 3, pp. 441-459. https://doi.org/10.1108/JRIM-04-2020-0072
Newman, E.J., Sanson, M., Miller, E.K., Quigley-McBride, A., Foster, J.L., Bernstein, D.M., Garry, M., Bastian, B. (2014). People with easier to pronounce names promote truthiness of Claims. PLoS ONE, 9(2), e88671. https://doi.org/10.1371/journal.pone.0088671
Oliver, R. L. (2010). Satisfaction, a behavioural perspective on the consumer (2. ed.). Nova Iorque: Irwin McGraw-Hill.
Oppenheimer, D. M. (2004). Spontaneous discounting of availability in frequency judgment tasks. Psychological Science, 15(2), 100-105. https://doi.org/10.1111/j.0963-7214.2004.0150200
Oppenheimer, D. M. (2006). Consequences of erudite vernacular utilized irrespective of necessity: Problems with using long words needlessly. Applied Cognitive Psychology, 20(2), 139–156. https://doi.org/10.1002/acp.1178
Orita, R. & Hattori, M. (2018). Positive and negative affects facilitate insight problem-solving in different ways: A study with Implicit hints. Japanese Psychological Research, Special issue: Implicit Cognition, 61(2), 94–106. https://doi.org/10.1111/jpr.12237
Park, S., Shin, W. and Xie, J. (2021) The Fateful First Consumer Review. Marketing Science 40(3):481-507. https://doi.org/10.1287/mksc.2020.1264
Park, D.H, Lee, J. Han, I. (2007). The Effect of On-line Consumer Reviews on Consumer Purchasing Intention: The Moderating Role of Involvement. International Journal of Electronic Commerce, 11(4), 125-148. https://doi.org/10.2753/JEC1086-4415110405
Park, Y., Herr, P. M., & Kim, B. C. (2016). The effect of disfluency on consumer perceptions of information security. Marketing Letters, 27(3), 525–535. https://doi.org/10.1007/s11002-015-9359-9
Parks, C. M., & Toth, J. P. (2006). Fluency, familiarity, aging, and the illusion of truth. Aging, Neuropsychology, and Cognition, 13, 225–253. https://doi.org/10.1080/138255890968691
Pennycook, G., Cannon, T. D., & Rand, D. G. (2018). Prior exposure increases perceived accuracy of fake news. Journal of Experimental Psychology: General, 147(12), 1865–1880. https://doi.org/10.1037/xge0000465
Prato, F., & John, O. P. (1991). Automatic vigilance: The attention-grabbing power of negative social information. Journal of Personality and Social Psychology, 61(3), 380-391. https://doi.org/10.1037//0022-3514.61.3.380
Reber, R., & Schwarz, N. (1999). Effects of perceptual fluency on judgments of truth. Consciousness and Cognition, 8(3), 338-342. https://doi.org/10.1006/ccog.1999.0386
Rost, K., Stahel, L., & Frey, B.S. (2016). Digital social norm enforcement: Online firestorms in social media. PLoS ONE, 11(6), 1-26. https://doi.org/10.1371/journal.pone.0155923
Rowe G, Hirsh, J. B., & Anderson A.K. (2007). Positive affect increases the breadth of attentional selection. Proceedings of the National Academy of Sciences, 104(1), 383-388. https://doi.org/10.1073/pnas.0605198104
Ryffel, F. A., & Wirth, W. (2016). Heart versus mind: How affective and cognitive message frames change attitudes. Social Psychology, 47(1), 52-62. https://doi.org/10.1027/1864-9335/a000257
Ryffel, F. A., & Wirth, W. (2018). How perceived processing fluency influences the illusion of knowing in learning from tv reports. Journal of Media Psychology, 32(1), 2-13. https://doi.org/10.1027/1864-1105/a000250
Sanchez, C., & Jaeger, A. J. (2015). If it’s hard to read, it changes how long you do it: Reading time as an explanation for perceptual fluency effects on judgment. Psychonomic Bulletin & Review, 22(1), 206–211. https://doi.org/10.3758/s13423-014-0658-6
Silva, R. R., Chrobot, N., Newman, E., Schwarz, N., & Topolinski, S. (2017). Make it short and easy: Username complexity determines trustworthiness above and beyond objective reputation. Frontiers in Psychology, 8, 2200. https://doi.org/10.3389/fpsyg.2017.02200
Schwarz, N. (2004). Metacognitive experiences in consumer judgment and decision making. Journal of Consumer Psychology, 14(4), 332-348. https://doi.org/10.1207/s15327663jcp1404_2
Schwarz, N., Jalbert, M., Noah, T. and Zhang, L. (2020). Metacognitive experiences as information: Processing Fluency in consumer judgement and decision making. Consumer Psychology Review, 00, 1-22. https://doi.org/10.1002/arcp.1067
Schindler, R, & Bickart, B. (2012). Perceived helpfulness of online consumer reviews: The role of message content and style. 11(3), 1–10. https://doi.org/10.1002/cb.1372
Silva, R. R., Garcia-Marques, T., & Reber, R. (2017). The informative value of type of repetition: Perceptual and conceptual fluency influences on judgments of truth. Consciousness and Cognition: An International Journal, 51, 53-67. https://doi.org/10.1016/j.concog.2017.02.016
Simmons, J.P., Nelson, L.D. (2006). Intuitive confidence: Choosing between intuitive and nonintuitive alternatives. Journal of Experimental Psychology, 35(3), 409-428. https://doi.org/10.1037/0096-3445.135.3.409
Simmons, J. P., & Nelson, L. D. (2007). Intuitive confidence: When consumer choices are sensitive to matching prices. Association for Consumer Research, 34, 265-268. http://www.acrwebsite.org/volumes/12610/volumes/v34/NA-34
Sirgy, J. M. A. (1984). Social cognition model of consumer satisfaction/dissatisfaction: An experiment. Psychology & Marketing, 1(2), 27- 44. https://doi.org/10.1002/mar.4220010205
Sohn, D (2009). Disentangling the effects of social network density on electronic word-of-mouth (eWOM) intention. Journal of Computer-mediated Communication, 14, 352-367. http://dx.doi.org/10.1111/j.1083-6101.2009.01444.x
Song, H., & Schwarz, N. (2008). If it’s hard to read, it’s hard to do: Processing fluency affects effort prediction and motivation. Psychological Science, 19(10), 986-988. https://doi.org/10.1111/j.1467-9280.2008.02189.x
Song, H., & Schwarz, N. (2009). If it’s difficult to pronounce, it must be risky. Psychological Science, 20(2), 135–138. https://doi.org/10.1111/j.1467-9280.2009.02267.x
Su, N., Li, T., Zheng, J., Hu, X., Fan, T., & Lu L. (2018). How font size affects judgments of learning: Simultaneous mediating effect of item-specific beliefs about fluency and moderating effect of beliefs about font size and memory. PLOS ONE 13, 1-14. https://doi.org/10.1371/journal.pone.0200888
Sussman, S. W., and W. S. Siegal. (2003) Informational Influence in Organizations: An Integrated Approach to Knowledge Adoption.” Information Systems Research 14, 1, 47–65. https://doi.org/10.1287/isre.14.1.47.14767
Talarico, J. M., Berntsen, D., & Rubin, D. C. (2009). Positive emotions enhance recall of peripheral details. Cognition and Emotion, 23(2), 380-398. https://doi.org/10.1080%2F02699930801993999
TECNOBLOG, 2021. (https://tecnoblog.net/279054/como-ativar-o-dark-mode-do-android-pie-e-economizar-bateria/ consulted at Feb 03, 2021)
Verma, D. and Dewani, P.P. (2021), "eWOM credibility: a comprehensive framework and literature review", Online Information Review, Vol. 45 No. 3, pp. 481-500. https://doi.org/10.1108/OIR-06-2020-0263
Visentin, M., Pizzi, G. & Pichierri, M. (2019) Fake news, real problems for brands: The impact of content truthfulness and source credibility on consumers' behavioral intentions toward the advertised brands. Journal of Interactive Marketing, 45, 99-112. https://doi.org/10.1016/j.intmar.2018.09.001
Yang, C., Huang, T. E., & Shanks, D. R. (2018). Perceptual fluency affects judgments of learning: The font size effect. Journal of Memory and Language, 99(1), 99-110. https://doi.org/10.1016/J.JML.2017.11.005
Weissgerber, C. S., & Reinhard, M. A. (2017). Is disfluency desirable for learning? Learning and Instruction, 49, 199-217. https://doi.org/10.1016/J.LEARNINSTRUC.2017.02.004
Wu, Y., Ngai, E. W. T., Wu, P. & Wu, C. (2020). Fake online reviews: Literature review, synthesis, and directions for future research, Decision Support Systems, v132,113280, pp 1-15. https://doi.org/10.1016/j.dss.2020.113280
Downloads
Publicado
Como Citar
Edição
Seção
Licença
Copyright (c) 2023 ReMark - Revista Brasileira de Marketing
Este trabalho está licenciado sob uma licença Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.