Effects of word-of-mouth consultations in social networks on the purchase of cosmetics in Ecuador
DOI:
https://doi.org/10.18046/j.estger.2022.164.5241Keywords:
social networks eWOM, social influence, eWOM perceived credibility, eWOM adoption, purchase intentionAbstract
Social networks have restructured the marketing communication paradigm. Recent research shows that the behavior of consulting reviews is acquiring a fundamental role in the purchase decision of consumers. In this context, the present study developed a research framework to determine the relationship among the variables social influence, word-of-mouth perceived credibility, word-of-mouth adoption, and purchase intention applied to the cosmetics industry in Ecuador. Through a sample of 406 customers and the application of the structural equation analysis method, the results evidence the connection between the variables proposed. Significant implications are presented for the communication management of the companies of the analyzed sector.
Downloads
References
Aguirre, C., Ruiz, S., Palazón, M. y Rodríguez, A. (2021). El rol del eWOM en la comunicación de RSC en redes sociales. Anagramas Rumbos y Sentidos de la Comunicación, 19(38). https://doi.org/10.22395/angr.v19n38a2
Akerlof, A. (1980). Theory of Social Custom, of which Unemployment may be One Consequence. The Quarterly Journal of Economics, 94(4), 749-775. https://doi.org/10.2307/1885667
Amed, S., Srabanti, M., Das, P. y Datta, B. (2019). Triggers of positive eWOM: Exploration with web analytics. Marketing Intelligence & Planning, 37(4), 433-450. https://doi.org/10.1108/MIP-05-2018-0136
Andreasen, A. R. (1968). Attitudes and customer behavior: a decision model. En Kassarjian, H. H. y Robertson, T. S. (Eds.), Perspectives in Consumer Behavior, Scott, Foresman and Company, Glenview, IL, pp. 498-510.
Angell, R., Gorton, M., Sauer, J., Bottomley, P. y White, J. (2016). Don't distract me when i'm media multitasking: Toward a theory for raising advertising recall and recognition. Journal of Advertising, 45(2), 198-210. https://doi.org/10.21855.70.294
Arndt, J. (1967). Role of product-related con-versations in the diffusion of a new product. Journal of Marketing Research, 4(3), 291-295. https://doi.org/10.1177/002224376700400308
Babić Rosario, A., de Valck, K. y Sotgiu, F. (2019). Conceptualizing the electronic word-of-mouth process: What we know and need to know about eWOM creation, exposure, and evaluation. Journal of the Academy of Marketing Science, 48, 422-448. https://doi.org/10.21855.70.294
Bahri-Ammar, N. (2020). The bandwagon luxury consumption in Tunisian case: The roles of independent and interdependent self concept. Journal of Retailing and Consumer Services, 52(5), 6969-6989. https://doi.org/10.1016/j.jretconser.2019.101903
Bearden, W. O., Netemeyer, R. G. y Teel, J. E. (1989). Measurement of consumer susceptibility to interpersonal influence. Journal of Consumer Research, 15(4), 473-481. https://doi.org/10.1086/209186
Beauty market america (2017). La industria de la cosmética y la belleza en Ecuador prevé un crecimiento del 6% en 2017. Recuperado el 10 de febrero de 2022 de https://www.beautymarketamerica.com/la-industria-de-la-cosmetica-y-la-belleza-en-ecuador-preve-un-crecimiento-del-en--13785.php
Book, L. y Tanford, S. (2020). Measuring social influence from online traveler reviews. Journal of Hospitality and Tourism, 3(1), 54-72. D. https://doi.org/10.1108/JHTI-06-2019-0080
Comisión Económica para América Latina y el Caribe (2016). La matriz de la desigualdad social en América Latina. Informe: Reunión de la Mesa Directiva de la Conferencia Regional sobre Desarrollo Social de América Latina y el Caribe. Santo Domingo: CEPAL. https://www.cepal.org/sites/default/files/events/files/matriz_de_la_desigualdad.pdf
Comisión Económica para América Latina y el Caribe (2021). Universalizar el acceso a las tecnologías digitales para enfrentar los efectos del COVID-19. Informe especial COVID. Santiago. https://repositorio.cepal.org/bitstream/handle/11362/45938/4/S2000550_es.pdf
Cheung, R. (2014). The influence of electronic word-of-mouth on information adoption in online customer communities. Global Economic Review, 43(1), 42-57. https://doi.org/10.1080/1226508X.2014.884048
Cheung, M., Luo, C., Sia, C. y Chen, H. (2009). Credibility of electronic Word-of-Mouth: Informational and normative determinants of on-line consumer recommendations. International Journal of Electronic Commerce, 13(4), 9-38. https://doi.org/10.2753/JEC1086-4415130402
Corneo, G. y Jeanne, O. (1997). Snobs, bandwagons, and the origin of social customs in consumer behavior. Journal of Economic Behavior y Organization, 32(3), 333-347. https://doi.org/10.1016/S0167-2681(96)00024-8
Cueto, J. (2009). Las redes sociales. Boletín electrónico de la Unidad de Virtualización Académica - UVA. Lima: Universidad de San Martín de Porres.
Dabholkar, P. y Sheng, X. (2012). Consumer participation in using online recommendation agents: Effects on satisfaction, trust, and purchase intentions. Service Industries Journal, 32(9), 1433-1449. https://doi.org/10.1080/02642069.2011.624596
Duhan, D., Johnson, S., Wilcox, J. y Harrell, G. (1997). Influences on consumer use of word-of-mouth recommendation sources. Journal of the Academy of Marketing Science, 25(4), 283-285. https://doi.org/10.21855.70.294
Erkan, I. y Evans, C. (2016). The influence of eWOM in social media on consumers’ purchase intentions: An extended approach to information adoption. Computers in Human Behavior, 61, 47-55. https://doi.org/10.1016/j.chb.2016.03.003
Fang, Y. H. (2014). Beyond the credibility of electronic word of mouth: Exploring eWOM adoption on social networking sites from affective and curiosity perspectives. International Journal of Electronic Commerce, 18(3), 67-102. https://doi.org/10.2753/JEC1086-4415180303
Filieri R. y McLeay F. (2013). E-WOM and Accommodation: An Analysis of the Factors That Influence Travelers’ Adoption of Information from Online Reviews. Journal of Travel Research, 53(1), 44-57. https://doi.org/10.1177/0047287513481274
Fornell, C. y Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50. https://doi.org/10.2307/3151312
Furner, C., Zinko, R. y Zhu, Z. (2016). Electronic word-of-mouth and information overload in an experiential service industry. Journal of Service Theory and Practice, 26(6), 4-21. https://doi.org/10.21855.70.294
Gerard, H. y Deutsch, M. (1955). A study of normative and informational social influence upon individual judgment. Journal of Abnormal and Social Psychology, 51(3), 629-636. https://doi.org/10.1037/h0046408
Gunawan, D. y Huarng, K.-H. (2015). Viral effects of social network and media on consumers’ purchase intention. Journal of Business Research, 68(11), 2237-2241. https://doi.org/10.1016/j.jbusres.2015.06.004
Hair Jr., J. F., Hult, G. T. M., Ringle, C. y Sarstedt, M. (2016). A primer on partial least squares structural equation modeling (PLS-SEM). Sage Publications.
Hennig-Thurau, T. y Gwinner, K. (2004). Electronic wordof-mouth via consumer-opinion platforms: What motivates consumers to articulate. Journal of Interactive Marketing, 18(1), 38-52. https://doi.org/10.1002/dir.10073
Dijkstra, T. K. y Henseler, J. (2015). Consistent partial least squares path modeling. MIS Quarterly, 39, 297-316. https://doi.org/10.25300/MISQ/2015/39.2.02
Henseler, J., Hubona, G. y Ray, P. A. (2016). Using PLS path modeling in new technology research: Updated guidelines. Industrial management & data systems, 116(1), 2-20. https://doi.org/10.1108/IMDS-09-2015-0382
HotSuite (2021). Digital Arround the world. Informe Global Sobre el Entorno Digital 2021. https://www.hootsuite.com/es/recursos/tendencias-digitales-2021
Hsieh, J.-K. y Tseng, C.-Y. (2018). Exploring social influence on hedonic buying of digital goods - Online games’ virtual items. Journal of Electronic Commerce Research, 19(2), 164-185. http://www.jecr.org/sites/default/files/2018vol19no2_Paper4.pdf
Hsu, L.-C. (2021). Effect of eWOM review on beauty enterprise: A new interpretation of the attitude contagion theory and information adoption model. Journal of Enterprise Information Management, 34(4), 1741-0398. https://doi.org/10.1108/JEIM-07-2020-0261
Hsu, L.-C., Chih, W.-H. y Liou, D.-K. (2016). Investigating community members’ eWOM effects in Facebook fan page. Industrial Management y Data Systems, 116(5), 978-1004. https://doi.org/10.1108/IMDS-07-2015-0313
Internet World State (2018). Internet Usage Statistics for all the Americas. Recuperado el 09 de noviembre del 2021 de https://www.internetworldstats.com/stats2.htm
Katz, E. y Lazarsfeld, P. (1955). Personal influence. The part played by people in the flow of mass communication. Free Press.
Kim, Y. y Srivastava, J. (2007). Impact of social influence in e-commerce decision making. Conference on Electronic Commerce: The Wireless World of Electronic Commerce, (pp. 19-22). https://doi.org/10.21855.70.294
Kim, E., Mattila, A. y Baloglu, S. (2011). Effects of gender and expertise on consumers’ motivation to read online hotel reviews. Cornell Hospitality Quarterly, 52(4), 399-406. https://doi.org/0.1177/1938965510394357
Kurtzer-Meyers, G. (2021). How to use influencer marketing to grow your brand. https://medium.com/swlh/how-to-use-influencer-marketing-to-grow-your-brand-7a68b1364050
Kwahk, K.-Y. y Kim, B. (2017). Effects of social media on consumers’ purchase decisions: Evidence from Taobao. Service Business, 11(4), 803-829. https://doi.org/10.1007/s11628-016-0331-4
Latané, B. (1996). Dynamic social impact: The creation of culture by communication. Journal of Communication, 46(4), 13-25. https://doi.org/10.1111/j.1460-2466.1996.tb01501.x
Le-Hoang, P. (2020). The effects of electronic word of mouth (eWOM) on the adoption of consumer eWOM information. Independent journal of management y production, 11(6), 1749-1766. https://doi.org/10.14807/ijmp.v11i6.1152
Leibenstein, H. (1950). Bandwagon, Snob and Veblen Effects in the Theory of Consumers´Demand. The Quarterly Journal of Economics, 64 (2), 183-207.
Levy, S. y Gvili, Y. (2015). How credible is e-word of mouth across digital-marketing channels?: The roles of social capital, information richness, and interactivity. Journal of Advertising Research, 55(1), 95-109. https://doi.org/10.2501/JAR-55-1-095-109
Li, H. y Sakamoto, Y. (2014). Social impacts in social media: An examination of perceived truthfulness and sharing of information. Computers in Human Behavior, 41, 278-287. https://doi.org/10.1016/j.chb.2014.08.009
Lim, B. y Chung, C. (2011). The impact of word-of-mouth communication on attribute assessent. Journal of Business Research, 64(1), 18-23. https://doi.org/10.1016/j.jbusres.2009.09.014
Hu, L. y Bentler, P. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1-55. https://doi.org/10.1080/10705519909540118
Lohmöller, J.-B. (1989). Latent variable path modeling with partial least squares. Heidelberg. https://doi.org/10.1007/978-3-642-52512-4
Lopez, M. y Sicilia, M. (2013). Boca a boca tradicional vs electrónico. Revista Española de Investigación en Marketing, 17(1), 7-38. https://doi.org/10.1016/S1138-1442(14)60017-6
Luo, C., Wu, J., Shi, Y. y Xu, Y. (2014). The effects of individualism-collectivism cultural orientation on eWOM information. Inter-national Journal of Information Management, 446-456. https://doi.org/10.1016/j.ijinfomgt.2014.04.001
McMillan, D. y Chavis, D. (1986). Sense of community: A definition and theory. Journal of Community Psychology, 14(1), 6-23. https://doi.org/10.1002/1520-6629(198601)14:1<6::AID-JCOP2290140103>3.0.CO;2-I
Moliner-Velázquez, B., Fuentes-Blasco, M. y Gil-Saura, I. (2021). Antecedents of online word-of-mouth reviews on hotels. Journal of Hospitality and Tourism, preprint. https://doi.org/10.1108/JHTI-10-2020-0184
Muñoz-Valera, S. (2020). La ecologización de la industria de la moda: actores y procesos. Revista Andaluza de Ciencias Sociales, 19, 199-219. https://doi.org/10.12795/anduli.2020.i19.09
Nabi, R. L. y Hendriks, A. (2003). The persuasive effect of host and audience reaction shots in television talk shows. Journal of Communication, 53(3), 527-543. https://doi.org/10.1111/j.1460-2466.2003.tb02606.x
Ngarmwongnoi, C., Oliveira, J., AbedRabbo, M. y Mousavi, S. (2020). The implications of eWOM adoption on the customer journey. Journal of Consumer Marketing, 37(7), 749-759. https://doi.org/10.1108/JCM-10-2019-3450
Park, C., Wang, Y., Yao, Y. y Kang, Y. (2011). Factors influencing eWOM effects: Using experience, credibility, and susceptibility. International Journal of Social Science and Humanities, 1(1), 74-79. https://doi.org/10.7763/IJSSH.2011.V1.13
Prendergast, G., Ko, D. y Siu Yin, V. (2010). Online word of mouth and consumer purchase intentions. International Journal of Advertising , 29(5), 687-708. https://doi.org/10.7763/IJSSH.2011.V1.13
Rahman, M. y Mannan, M. (2018). Consumer online purchase behavior of local fashion clothing brands. Journal of Fashion Marketing and Management, 22(3), 404-419. https://doi.org/10.1108/JFMM-11-2017-0118.
Rani, A. y Shivaprasad, H. N. (2018). Determinants of Electronic Word of Mouth Persuasiveness a Conceptual Model and Research Propositions. Contemporary Management Research, 12(1), 1-16. https://doi.org/10.13140/RG.2.2.29002.82887
Rodríguez Orejuela, A., Osorio Andrade, C. F. y Peláez Muñoz, J. (2020). Dos décadas de investigación en electronic word-of-mouth: un análisis bibliométrico. Revista científica Pensamiento y Gestión, 48. https://rcientificas.uninorte.edu.co/index.php/pensamiento/article/view/12510
Romero, C. (2012). De propaganda y democracia: la maleabilidad de las masas. En Universidad de Palermo, Ensayos Contemporáneos (p. 85-87). Universidad de Palermo.
Rook, L. (2007). Un enfoque económico psicológico del comportamiento de rebaño. Journal of Economic Issues, 10(1), 204-2031.
Santoso, I., Wright, M., Trinh, G. y Avis, M. (2020). Is digital advertising effective under conditions of low attention? Journal of Marketing Management, 36, 1707-1730. https://doi.org/10.1080/0267257X.2020.1801801
See-To, E. y Ho, K. (2015). Value co-creation and purchase intention in social network sites: The role of electronic Word-of-Mouth and trust - a theoretical analysis. Computers in Human Behavior, 31(1), 182-189. https://doi.org/10.1016/j.chb.2013.10.013
Sen, S. y Lerman, D. (2007). Why are you telling me this? An examination into negative consumers reviews on the web. Journal of Interactive Marketing, 11(4), 76-94. https://doi.org/10.1002/dir.20090
Senecal, S. y Nantel, J. (2004). The influence of online product recommendations on consumers’ online choices. Journal of Retailing, 80(2), 159-169. https://doi.org/10.1016/j.jretai.2004.04.001
Sensor Tower (2020). TikTok Crosses 2 Billion Downloads After Best Quarter For Any App Ever. Recuperado el 02 de febrero del 2021, de https://sensortower.com/blog/tiktok-downloads-2-billion
Sordo, A. I. (2021). Marketing de contenidos: qué es y cómo implementarlo en tu empresa. https://blog.hubspot.es/marketing/guia-marketing-contenidos
Sussman, S. y Siegal, W. (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
The Manifest (2018). Social listening tools and strategies to improve your brand. Recuperado el 12 de enero del 2022 de https://medium.com/@the_manifest/social-listening-tools-and-strategies-to-improve-your-brand-1d110469d770
Tien, D., Amaya-Rivas, A. y Liao, Y.-K. (2019). Examining the influence of customer-to-customer electronic word-of-mouth on purchase intention in social networking sites. Asia Pacific Management Review 24(3), 238-249. https://doi.org/10.1016/j.apmrv.2018.06.003
Verma, D. y Dewani, P. (2021). eWOM credibility: A comprehensive framework and literature review. Online Information Review, 45(3), 481-500. https://doi.org/10.1080/13527266.2014.969756
Vila-López, N., Küster-Boluda, I. y Bigné, E. (2013). Credibilidad corporativa en cadenas televisas: efectos y consecuencias. Revista Española de Investigación de Marketing ESIC, 17(1), 61-82. https://doi.org/10.1016/S1138-1442(14)60019-X
Wang, X., Yu, C. y Wei, Y. (2012). Social media peer communication and impacts on purchase intentions: A consumer socialization framework. Journal of Interactive Marketing, 16(12), 198-208. https://doi.org/10.1016/j.intmar.2011.11.004
Whiting, A., Williams, D. L. y Hair, J. (2019). Praise or revenge: why do consumers post about organizations on social media. Qualitative Market Research, 22(2), 133-160. https://doi.org/10.1108/QMR-06-2017-0101
Yan, Q., Wu, S., Wang, L., Wu, P., Chen, H. y Wei, G. (2016). E-WOM from e-commerce websites and social media: Which will consumers adopt? Electronic Commerce Research and Applications, 17, 62-73. https://doi.org/10.1016/j.elerap.2016.03.004
Zhou, S., Barnes, L., McCormick, H. y Blazquez-Cano, M. (2020). Social media influencers’ narrative strategies to create eWOM: A theoretical contribution. International Journal of Information Management, 59, 3-17. https://doi.org/10.1016/j.ijinfomgt.2020.102293
Downloads
Published
Issue
Section
License
Articles are the sole responsibility of their authors, and will not compromise Icesi’s University principles or policies nor those of the Editorial Board of the journal Estudios Gerenciales. Authors authorize and accept the transfer of all rights to the journal, both for its print and electronic publication. After an article is published, it may be reproduced without previous permission of the author or the journal but the author(s), year, title, volume, number and range of pages of the publication must be mentioned. In addition, Estudios Gerenciales must be mentioned as the source (please, refrain from using Revista Estudios Gerenciales).