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The Effect of Negative Online Consumer Reviews on Purchase Intention: Information Processing View

Year 2023, Volume: 2 Issue: 2, 127 - 143, 31.12.2023

Abstract

The aim of this study is to reveal the impact of negative online consumer reviews, which involve different types of risks, on consumers' purchase intention, depending on their level of involvement from an information processing perspective. In this experimental study, negative online consumer reviews were manipulated according to the types of risk they contained, and involvement is considered as the moderator variable of the research. In this regard, participants were exposed to negative online reviews about cars that were associated with financial and performance risks. A hierarchical regression analysis was conducted based on data from 337 participants (148 women, 189 men) in Turkey. The results of the hierarchical regression analysis show that negative online reviews involving financial and performance risk have a negative effect on consumers' purchase intention when participants are exposed to the negative online reviews, and high or low involvement of participants has no moderating effect between negative online reviews and consumers’ purhase intention. Furthermore, the study discusses findings of the research and the directions for future research. Unlike other studies in the literature, this study focused on negative consumer reviews in the automobile sector includes financial and performance risk content.

References

  • Ali, H. A., Farhad, G., & Nooshin, G. T. (2010). A study of the role of perceived risk and user characteristics in Internet purchase intention. World Academy of Science, 66, 43–47.
  • Arndt, J. (1967). Word of mouth advertising: A review of the literature. Advertising Research Foundation. Inc., New York.
  • Babić Rosario, A., de Valck, K. & Sotgiu, F. (2020). Conceptualizing the electronic word-of-mouth process: What we know and need to know about eWOM creation, exposure, and evaluation. J. of the Acad. Mark. Sci. 48, 422–448. https://doi.org/10.1007/s11747-019-00706-1
  • Basuroy, S., Chatterjee S., & Ravid SA. (2003). How Critical are Critical Reviews? The Box Office Effects of Film Critics, Star Power, and Budgets. Journal of Marketing, 67(4), 103-117. Doi:10.1509/jmkg.67.4.103.18692
  • Baumeister, R.F., Bratslavasky, E., & Finkenauer, C. (2001). Bad is stronger than good. Review of General Psychology, 5(4), 323-370.
  • Beatty, S. E., & Talpade, S. (1994). Adolescent influence in family decision making: A replication with extension. Journal of Consumer Research, 21(2), 332-341. http://dx.doi.org/10.1086/209401
  • Beneke J., de Sousa S., Mbuyu M., & Wickham B. (2016). The effect of negative online customer reviews on brand equity and purchase intention of consumer electronics in South Africa. The International Review of Retail, Distribution and Consumer Research, 26(2), 171-201. Doi: 10.1080/09593969.2015.1068828
  • Bickart, B., & Schindler, R.M. (2001). Internet forums as influential sources of consumer information. Journal of Interactive Marketing, 15 (3), 31-40.
  • Bloch, P.H., Daniel L. Sherrell, D. L., & Ridgway, N. M. (1986). Consumer Search: An Extended Framework. Journal of Consumer Research, 13(1), 119-126.
  • Bohlmann, Annette (2007). Multi-Channel-Retailing und Kaufbarrieren: wie Kunden Kaufrisiken wahrnehmen und überwinden. Lohmar: Eul-Verl.
  • Brown, A., Broderick J., & Lee N. (2007). Word of mouth communication within online communities: Conceptualizing the online social network. Journal of Interactive Marketing, 21(3), 2-20. https://doi.org/10.1002/dir.20082.
  • Byrne, B. M. (2013). Structural Equation Modeling With Mplus: Basic Concepts, Applications, and Programming. Routledge.
  • Cacioppo, J.T., & Petty, R.E. (1984). The Elaboration Likelihood Model of Persuasion. in NA - Advances in Consumer Research Volume 11, eds. Thomas C. Kinnear, Provo, UT: Association for Consumer Research, Pages: 673-675.
  • Cahao, R-F., & Chen, H.F. (2016). The Effect of Product Involvement on the Relationship between Electronic Word-of-Mouth and Purchase Intention: The Cross-cultural Comparison between Taiwan and Mainland China. The Journal of Global Business Management, 12(1), 121-131.
  • Chaiken, S., & Eagly, A. H. (1976). Communication modality as a determinant of message persuasiveness and message comprehensibility. Journal of Personality and Social Psychology, 34(4), 605–614. https://doi.org/10.1037/0022-3514.34.4.605
  • Cheung, CM, Lee MK., & Rabjohn N. (2008). The impact of electronic word-of-mouth: the adoption of online opinions in online customer communities. Internet Res, 18(3), 229–247.
  • Chang, E-C., & Tseng, Y-F. (2013). Research note: E-store image, perceived value and perceived risk. Journal of Business Research, 66(7), 864-870.
  • Chatterjee, P. (2001). Online reviews: do consumers use them?, Advances in Consumer Research, 28(1), 129–133.
  • Chen, Z., & Lurie, NH. (2013). Temporal Contiguity and Negativity Bias in the Impact of Online Word of Mouth. Journal of Marketing Research, 50(4), 463-476.
  • Chen, P., Dhanasobhon, S., & Smith, M. (2001). All reviews are not created equal: The disaggregate impact of reviews on sales on Amazon.com. Working Paper, No.55. Heinz Research.
  • Chen, Y., & Xie, J. (2008). Online Consumer Review: Word-of-Mouth as a New Element of Marketing Communication Mix. Management Science, 54(3), 477-491.
  • 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. https://doi.org/10.1016/j.dss.2012.06.008.
  • Cheung, M., Luo, C.S., & Chen, H. (2009). Credibility of electronic word-of-mouth: informational and normative determinants of on-line consumer recommendations. International Journal of Electronic Commerce, (14)3, 9-38.
  • Chevalier, J.A., & Mayzlin, D. (2006). The effect of word of mouth on sales: online book reviews. Journal of Marketing Research, Vol. 38, No. 3, 345-354.
  • Coyle, J.R., &Thorson, E. (2001). The effects of progressive levels of interactivity and vividness in web marketing sites. Journal of Advertising, 30, 65-77.
  • Çavuşoğlu, S., & Demirağ, B. (2021). Marka Nefretinin Negatif Ağızdan Ağıza İletişim ve Tekrar Satın Almama Niyetine Olan Etkisi. Pamukkale Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, (42), 261-275.
  • Davis, A., & Khazanchi, D. (2008). An empirical study of online word of mouth as a predictor for multi-product category e-commerce sales. Electronic Markets, 18(2), 130-141.
  • Dellarocas, C., & Narayan, R. (2007). Tall heads vs. long tails: do consumer reviews increase the informational inequality between hit and niche products?. Robert H. Smith School of Business Research Paper, 06-056.
  • Dellarocas, C. (2003). The digitization of word of mouth: promise and challenges of online feedback mechanism. Management Science, 49(10), 1407–1424.
  • Demirağ, B., Çavuşoğlu, S. (2020). Marka Kaçınması, Marka Nefreti ve Satın Alma Niyeti Arasındaki İlişkinin İncelenmesi: Spor Giyim Tercih Eden Tüketicilere Yönelik Bir Araştırma. Alanya Akademik Bakış, 4(3), 577-602.
  • Dichter, E. (1966). How word-of-mouth advertising works. Harvard Business Review, 44, 147-166.
  • Doh, M.S., & Hwang, J. (2009). How Consumers Evaluate eWOM (Electronic Word-of-Mouth) Messages. Cyberpsychology & Behavior, 12(2),193-204. DOI: 10.1089/cpb.2008.010
  • Filieri, R. (2015). What makes online reviews helpful? A diagnosticity-adoption framework to explain informational and normative influences in e-WOM. Journal of Business Research, 68(6), 1261-1270. https://doi.org/10.1016/j.jbusres.2014.11.006.
  • Fiske, S.T. (1980). Attention and weight in person perception: the impact of negative and extreme behavior. Journal of Personality and Social Psychology, 38(6), 889-906.
  • Forsythe S., Liu C., Shannon D., & Gardner, L. C. (2006). Development of a scale to measure the perceived benefits and risks of online shopping. Journal of Interactive Marketing, 20(2), 55-75.
  • Grötschel, A-K. (2019). Belohnungen für Online Reviews: Unterschiedliche Effekte auf die Abgabewahrscheinlichkeit und die Valenz. Springer Gabler.
  • Ha, HY. (2002). The effects of consumer risk perception on pre-purchase information in online auctions: Brand, word-of-mouth, and customized information. J Comput Mediat Commun, 8(1).
  • Hair, J. F. J., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate Data Analysis Seventh Edition. Prentice Hall.
  • Hennig-Thurau, T., & 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.
  • 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.
  • Hennig-Thurau, T., Hofacker, C.F.i., & Bloching, B. (2013). Marketing the pinball way: understanding how social media change the generation of value for consumers and companies. Journal of Interactive Marketing, 27(4), 237-241.
  • Herr, P.M., Kardesi, F. R., & Kim, J. (1991). Effects of Word-of-Mouth and Product-Attribute Information on Persuasion: An Accessibility-Diagnosticity Perspective. Journal of Consumer Research, 17(4), 454–462. https://doi.org/10.1086/208570
  • Hwang, J. S., & McMillan, S. J. (2002). The role of interactivity and involvement in attitude toward the Web site. Proceedings from 2002 Conference of the American Academy of Advertising. Auburn, AL: Auburn University.
  • İsmagilova, E., Dwivedi, Y., Slade, E., & Williams, M. (2017). Electronic Word of Mouth (eWOM) in the Marketing Context. Doi:10.1007/978-3-319-52459-7.
  • Jacoby, J., & Kaplan, L.B. (1972). The components of perceived risk. Proceedings of the Third Annual Conference of the Association for Consumer Research, 10, 382-393
  • Kiang, M.Y., Ye, Q., Hao, Y., Chen, M., & Li, Y. (2011). A service-oriented analysis of online product classification methods. Decision Support Systems, 52(1), 28-39.
  • Kahneman, D., & Tversky, A. (1982). The psychology of preferences. Scientific American, 246(1), 160–173.
  • Katz, E., & Lazarsfeld, PF.(1955). The part played by people in the flow of mass communications. Personal influence, Free Press Glencoe, IL.
  • Kolano, A. (2017). Effektivität in der Online-Kommunikation. Springer.
  • Kollmann, T. (2019). E-Business - Grundlagen elektronischer Geschäftsprozesse in der Digitalen Wirtschaft. Wiesbaden: Springer Gabler.
  • Kollmann T. (2018). Grundlagen des Web 1.0, Web 2.0, Web 3.0 und Web 4.0. In: Kollmann T. (eds) Handbuch Digitale Wirtschaft, Wiesbaden: Springer Gabler. (pp 1-23). https://doi.org/10.1007/978-3-658-17345-6_8-1
  • Kreutzer, R.T. (2015). Digitale Revolution. Auswirkungen auf das Marketing. Wiesbaden: Springer.
  • Kreutzer, R. (2019). Online-Marketing. Studienwissen Kompakt (2. Auflage). Wiesbaden: Springer.
  • Lee, C. H., & Cranage, D. (2007). Towards Understanding Consumer Processing of Negative Word-of-Mouth Communication: The Roles of Opinion Agreement and Organizational Response. Proceedings of the 16th Graduate Students Research Conference. TX, USA
  • Lee, C. H., & Cranage, DA. (2012). Toward understanding consumer processing of negative online word-of-mouth communication: the roles of opinion consensus and organizational response strategies. J Hosp Tourism Res., 38(3), 330-360. http://dx.doi.org/10.1177/1096348012451455
  • 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.
  • 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. https://doi.org/10.1016/j.elerap.2007.05.004.
  • Liao, S.-H., Hu, D.-C., Chung, Y.-C., & Huang, A.-P. (2021). Risk and opportunity for online purchase intention—A moderated mediation model investigation. Telemat Inform, 62, 101621. https://doi.org/10.1016/j.tele.2021.101621
  • Lin, M.-Y., & Fang, C.-H. (2006). The effects of perceived risk on the word-of-mouth communication DYAD. Social Behavior and Personality: An International Journal, 34(10), 1207-1216.
  • Litvin, S. W., Goldsmith, R. E., & Pana, B. (2008). Electronic word-of-mouth in hospitality and tourism management. Tourism Management, 29, 458-468.
  • Liu, Y. (2006). Word-of-mouth for movies: Its dynamics and impact on box office revenue. Journal of Marketing, 70(3), 74–89.
  • Mallery, P., & George, D. (2000). SPSS for Windows Step by Step. Allyn & Bacon, Inc..
  • Macinnis, DJ., & Park, CW. (1991). The differential role of characteristics of music on high- and low-involvement consumers' processing of ads. Journal of Consumer Research, 18(2), 161–173. https://doi.org/10.1086/209249
  • Maheswaran, D., & Meyers-Levy J. (1990). The influence of message framing and issue involvement. Journal of Marketing Research. 27(3), 361-367. doi:10.1177/002224379002700310
  • Malhotra, N.K. (2004). Marketing Research. Prentice Hall, New Jersey.
  • Minazzi, R. (2015). Social Media Marketing in Tourism and Hospitality. Cham/Heidelberg/New York: Springer
  • Mittal, B., & Lee, M.S. (1988). Separating Brand-Choice Involvement From Product Involvement Via Consumer Involvement Profiles. In NA - Advances in Consumer Research Volume 15, (Ed.) Micheal J. Houston, Provo, UT : Association for Consumer Research, 43-49.
  • Park, H., & Cho, H. (2012). Social network online communities: information sources for apparel shopping. Journal of Consumer Marketing, 29(6), 400-411. https://doi.org/10.1108/07363761211259214
  • Park, D.-H., & Lee, J. (2008). eWOM overload and its effect on consumer behavioral intention depending on consumer involvement. Electronic Commerce Research and Applications, 7(4), 386-398. https://doi.org/10.1016/j.elerap.2007.11.004.
  • Park C., & Lee, TM. (2009). Information direction, website reputation and eWOM effect: A moderating role of product type. Journal of Business Research, 62(1), 61-67. https://doi.org/10.1016/j.jbusres.2007.11.017.
  • 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.
  • Pentina, I., Bailey, A. A., & Zhang, L. (2015). Exploring effects of source similarity, message valence, and receiver regulatory focus on yelp review persuasiveness and purchase intentions. Journal of Marketing Communications, 24(2), 125-145.
  • Prendergast, G., Ko, D., & Yuen, S.Y.V. (2010). Online word of mouth and consumer purchase intentions. International Journal of Advertising, 29(5), 687–708.
  • Reichheld,F. (2003). The one number you need to grow. Harvard Bus. Rev., 81(12), 1-11.
  • Ruiz-Mafe, C., Chatzipanagiotou, K., & Curras-Perez, R. (2018). The role of emotions and conflicting online reviews on consumers' purchase intentions. Journal of Business Research,89, 336–344.
  • Rousseau, D. M., Sitkin, S. B., Burt, R. S., & Camerer, C. (1998). Not so different after all: A cross-discipline view of trust. Academy of Management Review, 23, 393– 404
  • Rozin P., & Royzman, EB. (2001). Negativity Bias, Negativity Dominance, and Contagion. Personality and Social Psychology Review. 5(4), 296-320. doi:10.1207/S15327957PSPR0504_2
  • Schöler, A. (2010), Negative mundpropaganda durch beschwerden. In Schuller, A. M. and Schwarz, T. (Hrsg.), Leitfaden WOM-Marketing, Waghausel: marketing-BORSE, pp. 375-388.
  • Stephen, A., & Godwin, S. A. (2009). The concept and measurement of perceived risk: a marketing application in the context of the new product development process. In Proceddings of ASBBS,16, 1–9.
  • Stone, R. N., & Mason, B. J. (1995). Attitude and risk: exploring the relationship. Psychology and Marketing, 12(2), 135–153. https://doi.org/10.1002/mar.4220120205
  • Tata, S. V., Prashar, S., & Gupta, S. (2019). An examination of the role of review valence and review source in varying consumption contexts on purchase decision. Journal of Retailing and Consumer Services. https://doi.org/10.1016/j.jretconser.2019.01.003.
  • Tian, L., & Ren, G. (2009). Research on the perceived risk of consumer in e-business [Unpublished PhD Dissertation]. Beijing Union University, Beijing, China.
  • Van Noort, G., & Willemsen, L. M. (2012). Online damage control: The effects of proactive versus reactive webcare interventions in consumer-generated and brand-generated platforms. Journal of Interactive Marketing, 26, 131-140.
  • Weathers, P. D. (2002). Purchase Channel and Product Characteristic Effects On Consumer Risk Perceptions [Phd Dissertation]. University Of South Carolina, UMI.
  • Wetzer, I.M., Zeelenberg, M., & Pieters, R. (2007). Never eat in that restaurant, I did!’: exploring why people engage in negative word‐of‐mouth communication. Psychology and Marketing, 24(8), 661-680.
  • Wu, P.C.S., & Wang, Y. (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. https://doi.org/10.1108/13555851111165020
  • Xue, F., & Phelps, J.E. (2004). Internet-facilitated consumer-to-consumer communication: the moderating role of receiver characteristics. International Journal of Internet Marketing and Advertising. 1(2), 121-136.
  • Xue, F., & Zhou, P. (2010). The Effects of Product Involvement and Prior Experience on Chinese Consumers’ Responses to Online Word of Mouth. Journal of International Consumer Marketing, 23(1), 45-58, DOI: 10.1080/08961530.2011.524576
  • Xue, F., & Zhou, P. (2011). The effects of product involvement and prior experience on Chinese consumers' responses to online word of mouth. Journal of International Consumer Marketing, 23(1), 45–58.
  • Xue, F. (2008). The moderating effects of product involvement on situational brand choice. Journal of Consumer Marketing, 25(2), 85-94. https://doi.org/10.1108/07363760810858828
  • Yang, J., & Mai E.S. (2010). Experiential goods with network externalities effects: An empirical study of online rating system. Journal of Business Research, 63(9–10), 1050-1057. https://doi.org/10.1016/j.jbusres.2009.04.029.
  • Yang L., Cheng Q., & Tong S. (2015). Empirical study of eWOM’s influence on consumers’ purchase decisions. In: Yang H, Morgan S, Wang Y (eds) The stratgies of China’s firms. Resolving dilemmas. Chandos Publishing, Waltham, (123-135).
  • Zaichkowsky, J. L. (1994). The Personal Involvement Inventory: Reduction, Revision, and Application to Advertising. Journal of Advertising, 23(4), 59-70. Doi : 10.1080/00913367.1943.10673459
  • Zhang, Z., & Hou, Y. (2017). The effect of perceived risk on information search for innovativeproducts and services: the moderating role of innate consumer innovativeness. Journal of Consumer Marketing, 34(3), 241-254.
  • Zhang, L., Tan,W., Xu, Y., & Tan, G. (2012). Dimensions of Consumers’ Perceived Risk and Their Influences on Online Consumers’ Purchasing Behaviour. Communications in Information Science and Management Engineering, 2(7), 8-14.
  • Zhai, L., Yin, P., Li, C., Wang, J., & Yang, M. (2022). Investigating the effects of video-based e-word-of-mouth on consumers’purchase intention: The moderating role of involvement. Sustainability, 14, 9522. https://doi.org/10.3390/su14159522
  • Zhao, Y., Wang, L., Tang, H., & Zhang, Y. (2020). Electronic word-of-mouth and consumer purchase intentions in social e-commerce. Electronic Commerce Research and Applications, 41,100980, 567-223, https://doi.org/10.1016/j.elerap.2020.100980.
  • Zhu, F., & Zhang, X. (2010). Impact of online consumer reviews on sales: The moderating role of product and consumer characteristics. Journal of Marketing, 74(2), 133–148.
  • Zimmermann R., & Westermann A. (2020). Omnichannel-Retailing – Kundenorientierte Verknüpfung der Online- und Offline-Kanäle. In: Terstiege M. (eds) Digitales Marketing – Erfolgsmodelle aus der Praxis. Springer Gabler, Wiesbaden. https://doi.org/10.1007/978-3-658-26195-5_1

Negatif Online Tüketici Yorumlarının Satın Alma Niyeti Üzerindeki Etkisi: Bilgi İşleme Perspektifi

Year 2023, Volume: 2 Issue: 2, 127 - 143, 31.12.2023

Abstract

Bu çalışma, farklı risk türleri içeren negatif online tüketici yorumlarının, bilgi işleme perspektifinden, tüketicilerin ilgilenim düzeylerine bağlı olarak satın alma niyeti üzerindeki etkisini ortaya koymayı amaçlamaktadır. Bu deneysel çalışmada, negatif online tüketici yorumları içerdikleri risk türlerine göre manipüle edilmiş ve ilgilenim araştırmanın moderatör değişkeni olarak ele alınmıştır. Bu bağlamda katılımcılar, otomobiller hakkında finansal ve performans riskini konu alan negatif online tüketici yorumlarına maruz bırakılmıştır. Türkiye'den 337 katılımcıdan (148 kadın, 189 erkek) toplanan verilerle hiyerarşik regresyon analizi yapılmıştır. Hiyerarşik regresyon analizi sonuçları göstermektedir ki; katılımcılar performans ve finansal risk içeren negatif online yorumlara maruz kaldıklarında, söz konusu negatif online yorumlar katılımcıların satın alma niyetini olumsuz etkilemekte ve katılımcıların yüksek veya düşük ilgilenimi bu ilişkide ılımlaştırıcı bir rol oynamamaktadır. Hiyerarşik regresyon analizi sonuçları göstermektedir ki; katılımcılar performans ve finansal risk içeren negatif online yorumlara maruz kaldıklarında, söz konusu negatif online yorumlar katılımcıların satın alma niyetini olumsuz etkilemekte ve katılımcıların yüksek veya düşük ilgilenimi bu ilişkide ılımlaştırıcı (moderatör) bir rol oynamamaktadır. Çalışmada ayrıca araştırmanın bulguları ve gelecekte yapılacak araştırmalara yönelik öneriler tartışılmaktadır. Literatürdeki diğer çalışmalardan farklı olarak bu araştırma, otomobil sektöründeki finansal ve performans riski içeren negatif online tüketici yorumlarına odaklanmıştır.

Ethical Statement

Ethics committee approval for this article was received by the decision of Istanbul Commerce University Rectorate dated 01.11.2023 and numbered E-65836846-044-302613.

References

  • Ali, H. A., Farhad, G., & Nooshin, G. T. (2010). A study of the role of perceived risk and user characteristics in Internet purchase intention. World Academy of Science, 66, 43–47.
  • Arndt, J. (1967). Word of mouth advertising: A review of the literature. Advertising Research Foundation. Inc., New York.
  • Babić Rosario, A., de Valck, K. & Sotgiu, F. (2020). Conceptualizing the electronic word-of-mouth process: What we know and need to know about eWOM creation, exposure, and evaluation. J. of the Acad. Mark. Sci. 48, 422–448. https://doi.org/10.1007/s11747-019-00706-1
  • Basuroy, S., Chatterjee S., & Ravid SA. (2003). How Critical are Critical Reviews? The Box Office Effects of Film Critics, Star Power, and Budgets. Journal of Marketing, 67(4), 103-117. Doi:10.1509/jmkg.67.4.103.18692
  • Baumeister, R.F., Bratslavasky, E., & Finkenauer, C. (2001). Bad is stronger than good. Review of General Psychology, 5(4), 323-370.
  • Beatty, S. E., & Talpade, S. (1994). Adolescent influence in family decision making: A replication with extension. Journal of Consumer Research, 21(2), 332-341. http://dx.doi.org/10.1086/209401
  • Beneke J., de Sousa S., Mbuyu M., & Wickham B. (2016). The effect of negative online customer reviews on brand equity and purchase intention of consumer electronics in South Africa. The International Review of Retail, Distribution and Consumer Research, 26(2), 171-201. Doi: 10.1080/09593969.2015.1068828
  • Bickart, B., & Schindler, R.M. (2001). Internet forums as influential sources of consumer information. Journal of Interactive Marketing, 15 (3), 31-40.
  • Bloch, P.H., Daniel L. Sherrell, D. L., & Ridgway, N. M. (1986). Consumer Search: An Extended Framework. Journal of Consumer Research, 13(1), 119-126.
  • Bohlmann, Annette (2007). Multi-Channel-Retailing und Kaufbarrieren: wie Kunden Kaufrisiken wahrnehmen und überwinden. Lohmar: Eul-Verl.
  • Brown, A., Broderick J., & Lee N. (2007). Word of mouth communication within online communities: Conceptualizing the online social network. Journal of Interactive Marketing, 21(3), 2-20. https://doi.org/10.1002/dir.20082.
  • Byrne, B. M. (2013). Structural Equation Modeling With Mplus: Basic Concepts, Applications, and Programming. Routledge.
  • Cacioppo, J.T., & Petty, R.E. (1984). The Elaboration Likelihood Model of Persuasion. in NA - Advances in Consumer Research Volume 11, eds. Thomas C. Kinnear, Provo, UT: Association for Consumer Research, Pages: 673-675.
  • Cahao, R-F., & Chen, H.F. (2016). The Effect of Product Involvement on the Relationship between Electronic Word-of-Mouth and Purchase Intention: The Cross-cultural Comparison between Taiwan and Mainland China. The Journal of Global Business Management, 12(1), 121-131.
  • Chaiken, S., & Eagly, A. H. (1976). Communication modality as a determinant of message persuasiveness and message comprehensibility. Journal of Personality and Social Psychology, 34(4), 605–614. https://doi.org/10.1037/0022-3514.34.4.605
  • Cheung, CM, Lee MK., & Rabjohn N. (2008). The impact of electronic word-of-mouth: the adoption of online opinions in online customer communities. Internet Res, 18(3), 229–247.
  • Chang, E-C., & Tseng, Y-F. (2013). Research note: E-store image, perceived value and perceived risk. Journal of Business Research, 66(7), 864-870.
  • Chatterjee, P. (2001). Online reviews: do consumers use them?, Advances in Consumer Research, 28(1), 129–133.
  • Chen, Z., & Lurie, NH. (2013). Temporal Contiguity and Negativity Bias in the Impact of Online Word of Mouth. Journal of Marketing Research, 50(4), 463-476.
  • Chen, P., Dhanasobhon, S., & Smith, M. (2001). All reviews are not created equal: The disaggregate impact of reviews on sales on Amazon.com. Working Paper, No.55. Heinz Research.
  • Chen, Y., & Xie, J. (2008). Online Consumer Review: Word-of-Mouth as a New Element of Marketing Communication Mix. Management Science, 54(3), 477-491.
  • 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. https://doi.org/10.1016/j.dss.2012.06.008.
  • Cheung, M., Luo, C.S., & Chen, H. (2009). Credibility of electronic word-of-mouth: informational and normative determinants of on-line consumer recommendations. International Journal of Electronic Commerce, (14)3, 9-38.
  • Chevalier, J.A., & Mayzlin, D. (2006). The effect of word of mouth on sales: online book reviews. Journal of Marketing Research, Vol. 38, No. 3, 345-354.
  • Coyle, J.R., &Thorson, E. (2001). The effects of progressive levels of interactivity and vividness in web marketing sites. Journal of Advertising, 30, 65-77.
  • Çavuşoğlu, S., & Demirağ, B. (2021). Marka Nefretinin Negatif Ağızdan Ağıza İletişim ve Tekrar Satın Almama Niyetine Olan Etkisi. Pamukkale Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, (42), 261-275.
  • Davis, A., & Khazanchi, D. (2008). An empirical study of online word of mouth as a predictor for multi-product category e-commerce sales. Electronic Markets, 18(2), 130-141.
  • Dellarocas, C., & Narayan, R. (2007). Tall heads vs. long tails: do consumer reviews increase the informational inequality between hit and niche products?. Robert H. Smith School of Business Research Paper, 06-056.
  • Dellarocas, C. (2003). The digitization of word of mouth: promise and challenges of online feedback mechanism. Management Science, 49(10), 1407–1424.
  • Demirağ, B., Çavuşoğlu, S. (2020). Marka Kaçınması, Marka Nefreti ve Satın Alma Niyeti Arasındaki İlişkinin İncelenmesi: Spor Giyim Tercih Eden Tüketicilere Yönelik Bir Araştırma. Alanya Akademik Bakış, 4(3), 577-602.
  • Dichter, E. (1966). How word-of-mouth advertising works. Harvard Business Review, 44, 147-166.
  • Doh, M.S., & Hwang, J. (2009). How Consumers Evaluate eWOM (Electronic Word-of-Mouth) Messages. Cyberpsychology & Behavior, 12(2),193-204. DOI: 10.1089/cpb.2008.010
  • Filieri, R. (2015). What makes online reviews helpful? A diagnosticity-adoption framework to explain informational and normative influences in e-WOM. Journal of Business Research, 68(6), 1261-1270. https://doi.org/10.1016/j.jbusres.2014.11.006.
  • Fiske, S.T. (1980). Attention and weight in person perception: the impact of negative and extreme behavior. Journal of Personality and Social Psychology, 38(6), 889-906.
  • Forsythe S., Liu C., Shannon D., & Gardner, L. C. (2006). Development of a scale to measure the perceived benefits and risks of online shopping. Journal of Interactive Marketing, 20(2), 55-75.
  • Grötschel, A-K. (2019). Belohnungen für Online Reviews: Unterschiedliche Effekte auf die Abgabewahrscheinlichkeit und die Valenz. Springer Gabler.
  • Ha, HY. (2002). The effects of consumer risk perception on pre-purchase information in online auctions: Brand, word-of-mouth, and customized information. J Comput Mediat Commun, 8(1).
  • Hair, J. F. J., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate Data Analysis Seventh Edition. Prentice Hall.
  • Hennig-Thurau, T., & 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.
  • 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.
  • Hennig-Thurau, T., Hofacker, C.F.i., & Bloching, B. (2013). Marketing the pinball way: understanding how social media change the generation of value for consumers and companies. Journal of Interactive Marketing, 27(4), 237-241.
  • Herr, P.M., Kardesi, F. R., & Kim, J. (1991). Effects of Word-of-Mouth and Product-Attribute Information on Persuasion: An Accessibility-Diagnosticity Perspective. Journal of Consumer Research, 17(4), 454–462. https://doi.org/10.1086/208570
  • Hwang, J. S., & McMillan, S. J. (2002). The role of interactivity and involvement in attitude toward the Web site. Proceedings from 2002 Conference of the American Academy of Advertising. Auburn, AL: Auburn University.
  • İsmagilova, E., Dwivedi, Y., Slade, E., & Williams, M. (2017). Electronic Word of Mouth (eWOM) in the Marketing Context. Doi:10.1007/978-3-319-52459-7.
  • Jacoby, J., & Kaplan, L.B. (1972). The components of perceived risk. Proceedings of the Third Annual Conference of the Association for Consumer Research, 10, 382-393
  • Kiang, M.Y., Ye, Q., Hao, Y., Chen, M., & Li, Y. (2011). A service-oriented analysis of online product classification methods. Decision Support Systems, 52(1), 28-39.
  • Kahneman, D., & Tversky, A. (1982). The psychology of preferences. Scientific American, 246(1), 160–173.
  • Katz, E., & Lazarsfeld, PF.(1955). The part played by people in the flow of mass communications. Personal influence, Free Press Glencoe, IL.
  • Kolano, A. (2017). Effektivität in der Online-Kommunikation. Springer.
  • Kollmann, T. (2019). E-Business - Grundlagen elektronischer Geschäftsprozesse in der Digitalen Wirtschaft. Wiesbaden: Springer Gabler.
  • Kollmann T. (2018). Grundlagen des Web 1.0, Web 2.0, Web 3.0 und Web 4.0. In: Kollmann T. (eds) Handbuch Digitale Wirtschaft, Wiesbaden: Springer Gabler. (pp 1-23). https://doi.org/10.1007/978-3-658-17345-6_8-1
  • Kreutzer, R.T. (2015). Digitale Revolution. Auswirkungen auf das Marketing. Wiesbaden: Springer.
  • Kreutzer, R. (2019). Online-Marketing. Studienwissen Kompakt (2. Auflage). Wiesbaden: Springer.
  • Lee, C. H., & Cranage, D. (2007). Towards Understanding Consumer Processing of Negative Word-of-Mouth Communication: The Roles of Opinion Agreement and Organizational Response. Proceedings of the 16th Graduate Students Research Conference. TX, USA
  • Lee, C. H., & Cranage, DA. (2012). Toward understanding consumer processing of negative online word-of-mouth communication: the roles of opinion consensus and organizational response strategies. J Hosp Tourism Res., 38(3), 330-360. http://dx.doi.org/10.1177/1096348012451455
  • 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.
  • 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. https://doi.org/10.1016/j.elerap.2007.05.004.
  • Liao, S.-H., Hu, D.-C., Chung, Y.-C., & Huang, A.-P. (2021). Risk and opportunity for online purchase intention—A moderated mediation model investigation. Telemat Inform, 62, 101621. https://doi.org/10.1016/j.tele.2021.101621
  • Lin, M.-Y., & Fang, C.-H. (2006). The effects of perceived risk on the word-of-mouth communication DYAD. Social Behavior and Personality: An International Journal, 34(10), 1207-1216.
  • Litvin, S. W., Goldsmith, R. E., & Pana, B. (2008). Electronic word-of-mouth in hospitality and tourism management. Tourism Management, 29, 458-468.
  • Liu, Y. (2006). Word-of-mouth for movies: Its dynamics and impact on box office revenue. Journal of Marketing, 70(3), 74–89.
  • Mallery, P., & George, D. (2000). SPSS for Windows Step by Step. Allyn & Bacon, Inc..
  • Macinnis, DJ., & Park, CW. (1991). The differential role of characteristics of music on high- and low-involvement consumers' processing of ads. Journal of Consumer Research, 18(2), 161–173. https://doi.org/10.1086/209249
  • Maheswaran, D., & Meyers-Levy J. (1990). The influence of message framing and issue involvement. Journal of Marketing Research. 27(3), 361-367. doi:10.1177/002224379002700310
  • Malhotra, N.K. (2004). Marketing Research. Prentice Hall, New Jersey.
  • Minazzi, R. (2015). Social Media Marketing in Tourism and Hospitality. Cham/Heidelberg/New York: Springer
  • Mittal, B., & Lee, M.S. (1988). Separating Brand-Choice Involvement From Product Involvement Via Consumer Involvement Profiles. In NA - Advances in Consumer Research Volume 15, (Ed.) Micheal J. Houston, Provo, UT : Association for Consumer Research, 43-49.
  • Park, H., & Cho, H. (2012). Social network online communities: information sources for apparel shopping. Journal of Consumer Marketing, 29(6), 400-411. https://doi.org/10.1108/07363761211259214
  • Park, D.-H., & Lee, J. (2008). eWOM overload and its effect on consumer behavioral intention depending on consumer involvement. Electronic Commerce Research and Applications, 7(4), 386-398. https://doi.org/10.1016/j.elerap.2007.11.004.
  • Park C., & Lee, TM. (2009). Information direction, website reputation and eWOM effect: A moderating role of product type. Journal of Business Research, 62(1), 61-67. https://doi.org/10.1016/j.jbusres.2007.11.017.
  • 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.
  • Pentina, I., Bailey, A. A., & Zhang, L. (2015). Exploring effects of source similarity, message valence, and receiver regulatory focus on yelp review persuasiveness and purchase intentions. Journal of Marketing Communications, 24(2), 125-145.
  • Prendergast, G., Ko, D., & Yuen, S.Y.V. (2010). Online word of mouth and consumer purchase intentions. International Journal of Advertising, 29(5), 687–708.
  • Reichheld,F. (2003). The one number you need to grow. Harvard Bus. Rev., 81(12), 1-11.
  • Ruiz-Mafe, C., Chatzipanagiotou, K., & Curras-Perez, R. (2018). The role of emotions and conflicting online reviews on consumers' purchase intentions. Journal of Business Research,89, 336–344.
  • Rousseau, D. M., Sitkin, S. B., Burt, R. S., & Camerer, C. (1998). Not so different after all: A cross-discipline view of trust. Academy of Management Review, 23, 393– 404
  • Rozin P., & Royzman, EB. (2001). Negativity Bias, Negativity Dominance, and Contagion. Personality and Social Psychology Review. 5(4), 296-320. doi:10.1207/S15327957PSPR0504_2
  • Schöler, A. (2010), Negative mundpropaganda durch beschwerden. In Schuller, A. M. and Schwarz, T. (Hrsg.), Leitfaden WOM-Marketing, Waghausel: marketing-BORSE, pp. 375-388.
  • Stephen, A., & Godwin, S. A. (2009). The concept and measurement of perceived risk: a marketing application in the context of the new product development process. In Proceddings of ASBBS,16, 1–9.
  • Stone, R. N., & Mason, B. J. (1995). Attitude and risk: exploring the relationship. Psychology and Marketing, 12(2), 135–153. https://doi.org/10.1002/mar.4220120205
  • Tata, S. V., Prashar, S., & Gupta, S. (2019). An examination of the role of review valence and review source in varying consumption contexts on purchase decision. Journal of Retailing and Consumer Services. https://doi.org/10.1016/j.jretconser.2019.01.003.
  • Tian, L., & Ren, G. (2009). Research on the perceived risk of consumer in e-business [Unpublished PhD Dissertation]. Beijing Union University, Beijing, China.
  • Van Noort, G., & Willemsen, L. M. (2012). Online damage control: The effects of proactive versus reactive webcare interventions in consumer-generated and brand-generated platforms. Journal of Interactive Marketing, 26, 131-140.
  • Weathers, P. D. (2002). Purchase Channel and Product Characteristic Effects On Consumer Risk Perceptions [Phd Dissertation]. University Of South Carolina, UMI.
  • Wetzer, I.M., Zeelenberg, M., & Pieters, R. (2007). Never eat in that restaurant, I did!’: exploring why people engage in negative word‐of‐mouth communication. Psychology and Marketing, 24(8), 661-680.
  • Wu, P.C.S., & Wang, Y. (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. https://doi.org/10.1108/13555851111165020
  • Xue, F., & Phelps, J.E. (2004). Internet-facilitated consumer-to-consumer communication: the moderating role of receiver characteristics. International Journal of Internet Marketing and Advertising. 1(2), 121-136.
  • Xue, F., & Zhou, P. (2010). The Effects of Product Involvement and Prior Experience on Chinese Consumers’ Responses to Online Word of Mouth. Journal of International Consumer Marketing, 23(1), 45-58, DOI: 10.1080/08961530.2011.524576
  • Xue, F., & Zhou, P. (2011). The effects of product involvement and prior experience on Chinese consumers' responses to online word of mouth. Journal of International Consumer Marketing, 23(1), 45–58.
  • Xue, F. (2008). The moderating effects of product involvement on situational brand choice. Journal of Consumer Marketing, 25(2), 85-94. https://doi.org/10.1108/07363760810858828
  • Yang, J., & Mai E.S. (2010). Experiential goods with network externalities effects: An empirical study of online rating system. Journal of Business Research, 63(9–10), 1050-1057. https://doi.org/10.1016/j.jbusres.2009.04.029.
  • Yang L., Cheng Q., & Tong S. (2015). Empirical study of eWOM’s influence on consumers’ purchase decisions. In: Yang H, Morgan S, Wang Y (eds) The stratgies of China’s firms. Resolving dilemmas. Chandos Publishing, Waltham, (123-135).
  • Zaichkowsky, J. L. (1994). The Personal Involvement Inventory: Reduction, Revision, and Application to Advertising. Journal of Advertising, 23(4), 59-70. Doi : 10.1080/00913367.1943.10673459
  • Zhang, Z., & Hou, Y. (2017). The effect of perceived risk on information search for innovativeproducts and services: the moderating role of innate consumer innovativeness. Journal of Consumer Marketing, 34(3), 241-254.
  • Zhang, L., Tan,W., Xu, Y., & Tan, G. (2012). Dimensions of Consumers’ Perceived Risk and Their Influences on Online Consumers’ Purchasing Behaviour. Communications in Information Science and Management Engineering, 2(7), 8-14.
  • Zhai, L., Yin, P., Li, C., Wang, J., & Yang, M. (2022). Investigating the effects of video-based e-word-of-mouth on consumers’purchase intention: The moderating role of involvement. Sustainability, 14, 9522. https://doi.org/10.3390/su14159522
  • Zhao, Y., Wang, L., Tang, H., & Zhang, Y. (2020). Electronic word-of-mouth and consumer purchase intentions in social e-commerce. Electronic Commerce Research and Applications, 41,100980, 567-223, https://doi.org/10.1016/j.elerap.2020.100980.
  • Zhu, F., & Zhang, X. (2010). Impact of online consumer reviews on sales: The moderating role of product and consumer characteristics. Journal of Marketing, 74(2), 133–148.
  • Zimmermann R., & Westermann A. (2020). Omnichannel-Retailing – Kundenorientierte Verknüpfung der Online- und Offline-Kanäle. In: Terstiege M. (eds) Digitales Marketing – Erfolgsmodelle aus der Praxis. Springer Gabler, Wiesbaden. https://doi.org/10.1007/978-3-658-26195-5_1
There are 99 citations in total.

Details

Primary Language English
Subjects Digital Marketing, Marketing Communications, Consumer Behaviour
Journal Section Research Article
Authors

Ülfet İşçi Özalp This is me 0000-0002-6429-5245

Hande Ayhan Gökcek 0000-0001-6349-3023

Publication Date December 31, 2023
Submission Date November 23, 2023
Acceptance Date November 30, 2023
Published in Issue Year 2023 Volume: 2 Issue: 2

Cite

APA İşçi Özalp, Ü., & Ayhan Gökcek, H. (2023). The Effect of Negative Online Consumer Reviews on Purchase Intention: Information Processing View. Turkish Journal of Marketing Research, 2(2), 127-143.