Roles of negative emotions in customers’ perceived helpfulness of hotel reviews on a user-generated review website: A text mining approach

Lee M, Jeong M, Lee J, (2017), Roles of negative emotions in customers’ perceived helpfulness of hotel reviews on a user-generated review website: A text mining approach, International Journal of Contemporary Hospitality Management, Vol.29.

Mots-clefs : avis en ligne, émotions, émotions négatives, crédibilité, intensité négative, utilité, prise de décision des consommateurs.

Résumé : Cet article a pour but de définir l’utilité des émotions négatives dans les avis en ligne et leur impact. L’étude se base ainsi sur des données empiriques et une méthodologie exploratoire dans le contexte de l’hôtellerie. Avec le web 2.0 les avis et commentaires en ligne sont devenus une source majeure d’évaluation aiguillant le consommateur. Nous apprenons dans cet écrit que selon une enquête eMarketer de 2014 que 79% des consommateurs lisent les avis avant un achat et que ceux-ci influencent leur décision.

Selon l’article et des études antérieures, les avis sont influencés par de nombreuses caractéristiques : les informations descriptives de l’identité, le sexe et l’expertise (Forman et al., 2008 ; Lee et al., 2011), le style et la qualité des avis (Jensen et al., 2013 ; Li et al., 2013) et les notes des avis (Mudambi et Schuff, 2010).

Les avis négatifs sont reconnus comme plus influents que les avis positifs : 80% des consommateurs ont changé d’avis sur un produit suite à des avis négatifs (eMarketer 2011).

Cependant les auteurs définissent que l’anonymat des avis en ligne permet d’exprimer plus facilement ses émotions, notamment négatives. L’étude démontrera que les avis négatifs se sont montrés plus utiles que les avis positifs. “Ils estiment que les avis négatifs, par rapport aux avis positifs, sont plus perspicaces, plus diagnostiques et plus utiles pour prendre des décisions éclairées et meilleures”. L’article démontre également que plus l’émotion négative est importante et exprimée, moins l’avis est considéré comme utile. Il ya donc un degrés d’importance de l’émotion, le contenu et sa crédibilité sont analysés par le consommateur.

Cependant une étude de Ammon (2015) indique que les mauvais commentaires donnent plus de crédibilité aux bons commentaires avec une apparence plus honnête et offrent directement de la crédibilité, dans ce cas, aux hôtels.

Conclusion : Cette étude a prouvé que les évaluations négatives avaient leur importance tout comme le niveau et/ou degrés d’émotion exprimé dans un commentaire. Les consommateurs accordent plus d’importance et de crédibilité aux avis négatifs et trouvent même étrange si il n’y a que des effets positifs. “Selon Ammon (2015), des études réalisées par Reevoo, un site d’évaluation des clients, indiquent que 95 % des consommateurs sont méfiants à l’égard des évaluations sur les sites d’évaluation générés par les utilisateurs lorsqu’il n’y a pas de mauvais résultats”.
Cependant l’étude définie également qu’un avis trop négatif perd de la valeur, plus il y a d’expressions émotionnelles moins le commentaire est considéré crédible. L’intensité négative des expressions émotionnelles est un élément essentiel du jugement et de la crédibilité des avis en ligne et produits eux mêmes.

Sources :

Ammon, T. (2015), “Why negative reviews are still a big ecommerce win

Aral, S., Dellarocas, C. and Godes, D. (2013), “Social media and business transformation: a framework for research”, Information Systems Research, Vol. 24 No. 1, pp. 3-13.

Baccianella, S., Esuli, A. and Sebastiani, F. (2010), “SentiWordNet 3.0: an enhanced lexical resource for sentiment analysis and opinion mining”, LREC, pp. 2200-2204.

Bagozzi, R.P., Gopinath, M. and Nyer, P.U. (1999), “The role of emotions in marketing”, Journal of the Academy of Marketing Science, Vol. 27 No. 2, pp. 184-206.

Berezina, K., Bilgihan, A., Cobanoglu, C. and Okumus, F. (2015), “Understanding satisfied and dissatisfied hotel customers: text mining of online hotel reviews”, Journal of Hospitality Marketing & Management, Vol. 24. No. 1, pp. 1-24.

Bickart, B. and Schindler, R.M. (2001), “Internet forums as influential sources of consumer information”, Journal of Interactive Marketing, Vol. 15 No. 3, pp. 31-40.

Browning, V., So, K. and Sparks, B. (2013), “The influence of online reviews on consumers’ attributions of service quality and control for service standards in hotels”, Journal of Travel & Tourism Marketing, Vol. 30 No. 1-2, pp. 23-40.

Cameron, A.C. and Trivedi, P.K. (2010), Microeconometrics using Stata, Stata Press, College Station, TX.

Cao, Q., Duan, W. and Gan, Q. (2011), “Exploring determinants of voting for the ‘helpfulness’ of online user reviews: a text mining approach”, Decision Support Systems, Vol. 50 No. 2, pp. 511-521.

Chatterjee, P. (2001), “Online reviews: do consumers use them?”, Advances in Consumer Research, Vol. 28, pp. 129-133.

Chevalier, J.A. and Mayzlin, D. (2006), “The effect of word of mouth on sales: online book reviews”, Journal of Marketing Research, Vol. 43 No. 3, pp. 345-354.

Connors, L., Mudambi, S.M. and Schuff, D. (2011), “Is it the review or the reviewer? A multi-method approach to determine the antecedents of online review helpfulness”, 44th Hawaii International Conference on System Sciences, pp. 1-10.

De Albornoz, J.C., Plaza, L. and Gervas, P. (2012), “Sentisense: an easily scalable concept based affective lexicon for sentiment analysis”, Proceedings of the 8th International Conference on Language Resources and Evaluation (LREC 2012), pp. 3562-3567.

Dellarocas, C. (2003), “The digitization of word of mouth: promise and challenges of online feedback mechanisms”, Management Science, Vol. 49 No. 10, pp. 1407-1424.

Derks, D., Fischer, A.H. and Bos, A.E.R. (2008), “The role of emotion in computer-mediated communication: a review”, Computers in Human Behavior, Vol. 24 No. 3, pp. 766-785.

Diefendorff, J.M. and Richard, E.M. (2003), “Antecedents and consequences of emotional display rule perceptions”, Journal of Applied Psychology, Vol. 88 No. 2, pp. 284-294.

Duan, W., Gu, B. and Whinston, A.B. (2008), “Do online reviews matter? An empirical investigation of panel data”, Decision Support Systems, Vol. 45 No. 4, pp. 1007-1016.

Ekman, P. (1973), Darwin and Facial Expression: A Century of Research in Review, Malor Books.

eMarketer (2011), “Negative buzz gains traction among Web users”, 

eMarketer (2014), “Online reviewers lean toward good, mixed feedback over negative”,

Esuli, A. and Sebastiani, F. (2006), “Sentiwordnet: a publicly available lexical resource for opinion mining”, Proceedings of LREC, CiteSeer, pp. 417-422.

Fang, B., Ye, Q., Kucukusta, D. and Law, R. (2016), “Analysis of the perceived value of online tourism reviews: influence of readability and reviewer characteristics”, Tourism Management, Vol. 52, pp. 498-506.

Fiske, S.T. (1980), “Attention and weight in person perception: the impact of negative and extreme behavior”, Journal of Personality and Social Psychology, Vol. 38 No. 6, pp. 889-906.

Folkes, V.S. (1988), “Recent attribution research in consumer behavior: a review and new directions”, Journal of Consumer Research, Vol. 14 No. 4, pp. 548-565.

Forman, C., Ghose, A. and Wiesenfeld, B. (2008), “Examining the relationship between reviews and sales: the role of reviewer identity disclosure in electronic markets”, Information Systems Research, Vol. 19 No. 3, pp. 291-313.

Hair, J.F., Black, W.C., Babin, B.J. and Anderson, R.E. (2010), Multivariate Data Analysis: A Global Perspective, 7th ed., Pearson Prentice Hall, Upper Saddle River, NJ.

Hamilton, R., Vohs, K.D. and McGill, A.L. (2014), “We’ll be honest, this won’t be the best article you’ll ever read: the use of dispreferred markers in word-of-mouth communication”, Journal of Consumer Research, Vol. 41 No. 1, pp. 197-212.

Hernández-Méndez, J., Muñoz-Leiva, F. and Sánchez-Fernández, J. (2015), “The influence of e-word-of-mouth on travel decision-making: consumer profiles”, Current Issues in Tourism, Vol. 18 No. 11, pp. 1001-1021.

Howard, D.J. and Gengler, C. (2001), “Emotional contagion effects on product attitudes”, Journal of Consumer Research, Vol. 28 No. 2, pp. 189-201.

Jensen, M.L., Averbeck, J.M., Zhang, Z. and Wright, K.B. (2013), “Credibility of anonymous online product reviews: a language expectancy perspective”, Journal of Management Information Systems, Vol. 30 No. 1, pp. 293-324.

Jeong, M. and Jeon, M.M. (2008), “Customer reviews of hotel experiences through consumer generated media (CGM)”, Journal of Hospitality & Leisure Marketing, Vol. 17 Nos 1/2, pp. 121-138.

Jiang, Z.H. and Benbasat, I. (2007), “Investigating the influence of the functional mechanisms of online product presentations”, Information Systems Research, Vol. 18 No. 4, pp. 454-470.

Kahneman, D. and Tversky, A. (1979), “Prospect theory: an analysis of decision under risk”, Econometrica, Vol. 47 No. 2, pp. 263-291.

Kiesler, S., Siegel, J. and McGuire, T.W. (1984), “Social psychological aspects of computer-mediated communication”, American Psychologist, Vol. 39 No. 10, pp. 1123-1134.

Kim, J. and Gupta, P. (2012), “Emotional expressions in online user reviews: how they influence consumers’ product evaluations”, Journal of Business Research, Vol. 65 No. 7, pp. 985-992.

King, R.A., Racherla, P. and Bush, V.D. (2014), “What we know and don’t know about online word-of-mouth: a review and synthesis of the literature”, Journal of Interactive Marketing, Vol. 28 No. 3, pp. 167-183.

Krishna, A., Dangayach, G. and Sharma, S. (2014), “Service recovery paradox: the success parameters”, Global Business Review, Vol. 15 No. 2, pp. 263-277.

Kusumasondjaja, S., Shanka, T. and Marchegiani, C. (2012), “Credibility of online reviews and initial trust: the roles of reviewer’s identify and review valence”, Journal of Vacation Marketing, Vol. 18 No. 3, pp. 185-195.

La, S. and Choi, B. (2012), “The role of customer affection and trust in loyalty rebuilding after service failure and recovery”, The Service Industries Journal, Vol. 32 No. 1, pp. 105-125.

Lee, H.A., Law, R. and Murphy, J. (2011), “Helpful reviewers in TripAdvisor, an online travel community”, Journal of Travel & Tourism Marketing, Vol. 28 No. 7, pp. 675-688.

Lee, J., Park, D.H. and Han, I. (2008), “The effect of negative online consumer reviews on product attitude: an information processing view”, Electronic Commerce Research and Applications, Vol. 7 No. 3, pp. 341-352.

Lerner, J.S. and Keltner, D. (2000), “Beyond valence: toward a model of emotion-specific influences on judgment and choice”, Cognition & Emotion, Vol. 14 No. 4, pp. 473-493.

Li, M., Huang, L., Tan, C.H. and Wei, K.K. (2013), “Helpfulness of online product reviews as seen by consumers: source and content features”, International Journal of Electronic Commerce, Vol. 17 No. 4, pp. 101-136.

Liu, Y. (2006), “Word of mouth for movies: its dynamics and impact on box office revenue”, Journal of Marketing, Vol. 70 No. 3, pp. 74-89.

Lu, W. and Stepchenkova, S. (2015), “User-generated content as a research mode in tourism and hospitality applications: topics, methods, and software”, Journal of Hospitality Marketing & Management, Vol. 24 No. 2, pp. 119-154.

Maheswaran, D. and Meyers-Levy, J. (1990), “The influence of message framing and issue involvement”, Journal of Marketing Research, Vol. 27 No. 3, pp. 361-367.

Mattsson, J., Lemmink, J. and McColl, R. (2004), “The effect of verbalized emotions on loyalty in written complaints”, Total Quality Management & Business Excellence, Vol. 15 No. 7, pp. 941-958.

Mauri, A.G. and Minazzi, R. (2013), “Web reviews influence on expectations and purchasing intentions of hotel potential customers”, International Journal of Hospitality Management, Vol. 34, pp. 99-107.

Melian-Gonzalez, S., Bulchand-Gidumal, J. and Gonzalez Lopez-Valcarcel, B. (2013), “Online customer reviews of hotels: as participation increases, better evaluation is obtained”, Cornell Hospitality Quarterly, Vol. 54 No. 3, pp. 274-283.

Morris, M.W. and Keltner, D. (2000), “How emotions work: the social functions of emotional expression in negotiations”, Research in Organizational Behavior, Vol. 22, pp. 1-50.

Mudambi, S.M. and Schuff, D. (2010), “What makes a helpful online review? A study of customer reviews on Amazon.com”, MIS Quarterly, Vol. 34 No. 1, pp. 185-200.

Nicosia, F. (1966), Consumer Decision Processes, Prentice Hall, Englewood Cliffs, NJ.

Nyer, P.U. (2000), “An investigation into whether complaining can cause increased consumer satisfaction”, Journal of Consumer Marketing, Vol. 17 No. 1, pp. 9-19.

Pang, B. and Lee, L. (2008), “Opinion mining and sentiment analysis”, Foundations and Trends in Information Retrieval, Vol. 2 Nos 1/2, pp. 1-135.

Park, D.H. and 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, Vol. 7 No. 4, pp. 399-410.

Park, H., Xiang, Z., Josiam, B. and Kim, H. (2014), “Personal profile information as cues of credibility in online travel reviews”, Anatolia, Vol. 25 No. 1, pp. 13-23.

Pavlou, P. and Dimoka, A. (2006), “The nature and role of feedback text comments in online marketplaces: implications for trust building, price premiums, and seller differentiation”, Information Systems Research, Vol. 17 No. 4, pp. 392-414.

Pennebaker, J.W., Booth, R.J. and Francis, M.E. (2007), Linguistic Inquiry and Word Count (LIWC2007), Austin, TX,

Rafaeli, A. and Sutton, R.I. (1991), “Emotional contrast strategies as means of social influence: lessons from criminal interrogators and bill collectors”, Academy of Management Journal, Vol. 34 No. 4, pp. 749-775.

Rice, R.E. and Love, G. (1987), “Electronic emotion socio emotional content in a computer-mediated communication network”, Communication Research, Vol. 14 No. 1, pp. 85-108.

Rozin, P. and Royzman, E.B. (2001), “Negativity bias, negativity dominance, and contagion”, Personality and Social Psychology Review, Vol. 5 No. 4, pp. 296-320.

Schuckert, M., Liu, X. and Law, R. (2015), “Hospitality and tourism online reviews: recent trends and future directions”, Journal of Travel & Tourism Marketing, Vol. 32 No. 5, pp. 608-621.

Schwarz, N. (2000), “Emotion, cognition, and decision making”, Cognition & Emotion, Vol. 14 No. 4, pp. 433-440.

Serra Cantallops, A. and Salvi, F. (2014), “New consumer behavior: a review of research on eWOM and hotels”, International Journal of Hospitality Management, Vol. 36, pp. 41-51.

Sparks, B.A. and Browning, V. (2011), “The impact of online reviews on hotel booking intentions and perception of trust”, Tourism Management, Vol. 32 No. 6, pp. 1310-1323.

Tronvoll, B. (2011), “Negative emotions and their effect on customer complaint behaviour”, Journal of Service Management, Vol. 22 No. 1, pp. 111-134.

Tsao, W.C., Hsieh, M.T., Shih, L.W. and Lin, T.M. (2015), “Compliance with eWOM: the influence of hotel reviews on booking intention from the perspective of consumer conformity”, International Journal of Hospitality Management, Vol. 46, pp. 99-111.

Vermeulen, I.E. and Seegers, D. (2009), “Tried and tested: the impact of online hotel reviews on consumer consideration”, Tourism Management, Vol. 30 No. 1, pp. 123-127.

Xie, H., Miao, L., Kuo, P.J. and 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, Vol. 30 No. 1, pp. 178-183.

Ye, Q., Law, R. and Gu, B. (2009), “The impact of online user reviews on hotel room sales”, International Journal of Hospitality Management, Vol. 28, pp. 180-182.

Ye, Q., Law, R., Gu, B. and Chen, W. (2011), “The influence of user-generated content on traveler behavior: an empirical investigation on the effects of e-word-of-mouth to hotel online bookings”, Computers in Human Behavior, Vol. 27 No. 2, pp. 634-639.

Ye, Q., Li, H., Wang, Z. and Law, R. (2014), “The influence of hotel price on perceived service quality and value in e-tourism: an empirical investigation based on online traveler reviews. Journal of Hospitality & Tourism Research, Vol. 38 No. 1, pp. 23-39.

Yin, D., Bond, S. and Zhang, H. (2014), “Anxious or angry? Effects of discrete emotions on the perceived helpfulness of online reviews”, MIS Quarterly, Vol. 38 No. 2, pp. 539-560.

Yoo, K.H. and Gretzel, U. (2008), “What motivates consumers to write online travel reviews?”, Information Technology & Tourism, Vol. 10 No. 4, pp. 283-295.

Zhu, F. and Zhang, X. (2010), “Impact of online consumer reviews on sales: the moderating role of product and consumer characteristics”, Journal of Marketing, Vol. 74 No. 2, pp. 133-148.

Zhu, L., Yin, G. and He, W. (2014), “Is this opinion leader’s review useful? Peripheral cues for online reivew helpfulness”, Journal of Electronic Commerce Research, Vol. 15 No. 4, pp. 267-280