Influencer versus el poder de la multitud: una investigación sobre la influencia social en la era digital

Autores/as

DOI:

https://doi.org/10.18046/j.estger.2021.161.4498

Palabras clave:

recomendaciones de líderes de opinión, reseñas de consumidores, influencia social, diseño experimental, experiencia de compra online

Resumen

Las recomendaciones de líderes de opinión (OL' eWOM) y las reseñas de consumidores en línea (OCR) son las dos formas más importantes de conocer nuevas marcas en Internet. Esta investigación analizó qué fuente proporciona información más creíble: OL' eWOM u OCR. Una muestra de 146 estudiantes universitarios se dividió aleatoriamente en tres grupos (OL, OCR, Grupo de control) en un experimento en línea. Los datos fueron analizados con un Análisis no Paramétrico de Varianza con prueba Omnibus Kruskal- Wallis entre grupos. Los resultados evidenciaron que los OCR son una fuente de información más útil que OL' eWOM, y cuando se incluyó la experiencia de compra del consumidor, esta influencia es aún más fuerte. Los consumidores con menos experiencia de compra online pueden verse influenciados por las OL' eWOM.

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Referencias

Ahmad, S. N., & Laroche, M. (2017). Analyzing electronic word of mouth: A social commerce construct. International Journal of Information Management, 37(3), 202–213. https://doi.org/10.1016/j.ijinfomgt.2016.08.004

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. Journal of the Academy of Marketing Science, 48(3), 422–448. https://doi.org/10.1007/s11747-019-00706-1

Bao, T., & Chang, T. S. (2014). Finding disseminators via electronic word of mouth messages for effective marketing communications. Decision Support Systems, 67, 21–29.

Beer, C. (2018). Does Influencer Marketing Still Drive Brand Discovery? Global Web Index. . Retrieved on June 2, 2021, from: https://n9.cl/lrmf6

Benton, S., Miller, S., & Reid, S. (2018). The Design Economy 2018. Retrieved on June 2, 2021, from: https://n9.cl/s5g7f

Casaló, L. V, Flavián, C., & Ibáñez-Sánchez, S. (2020). Influencers on Instagram: Antecedents and consequences of opinion leadership. Journal of Business Research, 117, 510–519. https://doi.org/10.1016/j.jbusres.2018.07.005

Chantamas, M., Satanasavapak, P., & Visetbhakdi, A. (2020). The role of opinion leadership characteristics and brand commitment as drivers of brand-related electronic word of mouth (EWOM) in social networking sites (SNS). ABAC Journal, 40(2), 122–139.

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

Forbes. (2019). Cristiano Ronaldo. Retrieved on June 2, 2021, from: https://n9.cl/v8x5o

Global Web Index. (2020). Social media marketing trends in 2020. Retrieved on June 2, 2021, from: https://n9.cl/j9qy2

Gnambs, T., & Batinic, B. (2013). The Roots of Interpersonal Influence: A Mediated Moderation Model for Knowledge and Traits as Predictors of Opinion Leadership. Applied Psychology, 62(4), 597–618. https://doi.org/10.1111/j.1464-0597.2012.00497.x

Goldsmith, E. B. (2015). Social influence and sustainable consumption. Cham: Springer.

Gupta, P., & Harris, J. (2010). How e-WOM recommendations influence product consideration and quality of choice: A motivation to process information perspective. Journal of Business Research, 63(9–10), 1041–1049. https://doi.org/10.1016/j.jbusres.2009.01.015

Hayes, A. (2013). Introduction to mediation, moderation, and conditional process analysis (Chapter 7). New York: The Guilford Press.

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

Hinz, O., Skiera, B., Barrot, C., & Becker, J. U. (2011). Seeding strategies for viral marketing: An empirical comparison. Journal of Marketing, 75(6), 55–71. https://doi.org/10.1509/jm.10.0088

Hu, L., Min, Q., Han, S., & Liu, Z. (2020). Understanding followers’ stickiness to digital influencers: The effect of psychological res-ponses. International Journal of Information Management, 54, 102169. https://doi.org/10.1016/j.ijinfomgt.2020.102169

Hussain, S., Huang, K., Ilyas, Z., & Niu, B. (2020). Exploring the Novel Input Attributes Affecting eWOM. Frontiers in Psychology, 11. https://doi.org/10.3389/fpsyg.2020.02017

Iyengar, R., Van del Bulte, C., & Valente, T. (2011). Opinion leadership and social contagion in new product diffusion. Marketing Science, 30(2), 195–212.

Jin, S.-A. A., & Phua, J. (2014). Following celebrities’ tweets about brands: The impact of Twitter-based electronic word-of-mouth on consumers source credibility perception, buying intention, and social identification with celebrities. Journal of Advertising, 43(2), 181–195. https://doi.org/10.1080/00913367.2013.827606

Katona, Z., Zubcsek, P. P., & Sarvary, M. (2011). Network effects and personal influences: The diffusion of an online social network. Journal of Marketing Research, 48(3), 425–443. https://doi.org/10.1509/jmkr.48.3.425

Katz, E. (1957). The two-step flow of communication: An up-to-date report on a hypothesis. Public Opinion Quarterly, 21(1), 61–78. https://doi.org/10.1086/266687

Katz, E., & Lazarsfeld, P. (2009). Personal influence: the part played by people in the flow of mass communications. New Jersey: Transaction Publishers.

Keller, E., & Berry, J. (2003). The influentials. New York: NY Free Press.

Ladhari, R., & Michaud, M. (2015). EWOM effects on hotel booking intentions, attitudes, trust, and website perceptions. International Journal of Hospitality Management, 46, 36–45. https://doi.org/10.1016/j.ijhm.2015.01.010

Libai, B., Muller, E., & Peres, R. (2013). Decomposing the value of word-of-mouth seeding programs: Acceleration versus expansion. Journal of Marketing Research, 50(2), 161–176. https://doi.org/10.1509/jmr.11.0305

Loeper, A., Steiner, J., & Stewart, C. (2014). Influential Opinion Leaders. Economic Journal, 124(581), 1147–1167. https://doi.org/10.1111/ecoj.12100

Martin, J., Mortimer, G., & Andrews, L. (2015). Re-examining online customer experience to include purchase frequency and perceived risk. Journal of Retailing and Consumer Services, 25, 81–95. https://doi.org/10.1016/j.jretconser.2015.03.008

Moldovan, S., Muller, E., Richter, Y., & Yom-Tov, E. (2017). Opinion leadership in small groups. International Journal of Research in Marketing, 34(2), 536–552. https://doi.org/10.1016/j.ijresmar.2016.11.004

Moran, G., & Muzellec, L. (2017). eWOM credibility on social networking sites: A framework. Journal of Marketing Communications, 23(2), 149–161. https://doi.org/10.1080/13527266.2014.969756

Park, J. H., Gu, B., Leung, A. C. M., & Konana, P. (2014). An investigation of information sharing and seeking behaviors in online investment communities. Computers in Human Behavior, 31, 1–12. https://doi.org/10.1016/J.CHB.2013.10.002

Ramadanty, S., Muqarrabin, A. M., Nita, W. A., & Syafganti, I. (2020). Examining the effect of persuasive message of beauty vloggers on information acceptance of ewom and purchase intention: The study of consumers of beauty products in Jabodetabek, Indonesia. Pertanika Journal of Social Sciences and Humanities, 28(2), 763–775.

Rosario, A. B., Sotgiu, F., De Valck, K., & Bijmolt, T. H. A. (2016). The effect of electronic word of mouth on sales: A meta-analytic review of the platform, product, and metric factors. Journal of Marketing Research, 53(3), 297–318. https://doi.org/10.1509/jmr.14.0380

Rose, S., Clark, M., Samouel, P., & Hair, N. (2012). Introdu. Journal of Retailing, 88(2), 308–322. https://doi.org/10.1016/j.jretai.2012.03.001

Schimmelpfennig, C., & Hunt, J. B. (2020). Fifty years of celebrity endorser research: Support for a comprehensive celebrity endor-sement strategy framework. Psychology and Marketing, 37(3), 488–505. https://doi.org/10.1002/mar.21315

Shan, Y. (2016). How credible are online product reviews? The effects of self-generated and system-generated cues on source credibility evaluation. Computers in Human Behavior, 55, 633–641. https://doi.org/10.1016/J.CHB.2015.10.013

Shoham, A., & Ruvio, A. (2008). Opinion leaders and followers: A replication and extension. Psychology and Marketing, 25(3), 280–297. https://doi.org/10.1002/mar.20209

Srivastava, M., & Sivaramakrishnan, S. (2021). The impact of eWOM on consumer brand engagement. Marketing Intelligence and Planning, 39(3), 469–484. https://doi.org/10.1108/MIP-06-2020-0263

Statista. (2019). Most popular Facebook fan pages as of September 2019, based on number of fans (in millions). Retrieved on February 12, 2019, from: https://n9.cl/demax

Statista. (2021). Online reviews - Statistics & Facts. Statista. Retrieved June 8, 2021, from: https://n9.cl/8j1c1

Stubb, C., Nyström, A.-G., & Colliander, J. (2019). Influencer marketing: The impact of disclosing sponsorship compensation justification on sponsored content effectiveness. Journal of Communication Management, 23(2), 109–122. https://doi.org/10.1108/JCOM-11-2018-0119

Tobon, S., & García-Madariaga, J. (2021). The influence of opinion leaders’ ewom on online consumer decisions: A study on social influence. Journal of Theoretical and Applied Electronic Commerce Research, 16(4), 748–767. https://doi.org/10.3390/jtaer16040043

Tsao, W.-C., & Hsieh, M.-T. (2015). eWOM persuasiveness: do eWOM platforms and product type matter? Electronic Commerce Research, 15(4), 509–541. https://doi.org/10.1007/s10660-015-9198-z

Tsao, W.-C., Hsieh, M.-T., Shih, L.-W., & Lin, T. M. Y. (2015). Compliance with eWOM: The influence of hotel reviews on booking intention from the perspective of consumer conformity. International Journal of Hospitality Management, 46, 99–111. https://doi.org/https://doi.org/10.1016/j.ijhm.2015.01.008

Verma, S., & Yadav, N. (2021). Past, Present, and Future of Electronic Word of Mouth (EWOM). Journal of Interactive Marketing, 53, 111–128. https://doi.org/10.1016/j.intmar.2020.07.001

Wang, Z., Liu, H., Liu, W., & Wang, S. (2020). Understanding the power of opinion leaders’ influence on the diffusion process of popular mobile games: Travel Frog on Sina Weibo. Computers in Human Behavior, 109, 106354. https://doi.org/10.1016/j.chb.2020.106354

Weimann, G. (1991). The influentials: Back to the concept of opinion leaders? Public Opinion Quarterly, 55(2), 267–279. https://doi.org/10.1086/269257

Zhao, Y., Kou, G., Peng, Y., & Chen, Y. (2018). Understanding influence power of opinion leaders in e-commerce networks: An opinion dynamics theory perspective. Information Sciences, 426, 131–147. https://doi.org/10.1016/j.ins.2017.10.031

Zichermann, G., & Cunningham, E. C. (2011). Gamification by design. Sebastopol: O’Reilly Media.

Zichermann, G., & Linder, J. (2010). Game-based marketing. Hoboken: John Wiley & Sons.

Publicado

2021-09-03

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Artículo de investigación

Cómo citar

Influencer versus el poder de la multitud: una investigación sobre la influencia social en la era digital. (2021). Estudios Gerenciales, 37(161), 601-609. https://doi.org/10.18046/j.estger.2021.161.4498