Evaluación de quejas de consumidores durante COVID-19 analizando Twitter a gran escala
DOI:
https://doi.org/10.7764/cdi.55.56763Palabras clave:
pandemic, social media, consumer protection, consumer complaining behavior, government agency, eWOM, digital communication, MexicoResumen
El alto crecimiento del comercio electrónico en México causado por la pandemia de COVID-19 se convirtió en un desafío para los minoristas en términos de gestión de quejas. Si bien los estudios de marketing han investigado el uso de las redes sociales en este contexto, hay poca investigación desde la perspectiva del consumidor para comprender cómo la comunicación digital ha transformado la capacidad del consumidor para obtener compensación. Este estudio utiliza el marco teórico del boca a boca electrónico (e-WOM) y el comportamiento de quejas para explorar las quejas de los consumidores en línea durante la pandemia. A través del análisis de datos de Twitter a gran escala en 2019 y 2020 (más de 100.000 tuits), se cuantifica la frecuencia de las denuncias para mostrar la evolución de este fenómeno para siete de los principales minoristas del país a través de un análisis de contenido cualitativo. Los resultados indican que la mayoría de los minoristas presentan una tendencia similar en términos de cantidad y tipo de quejas, sin embargo, algunos de ellos parecen haberse adaptado más rápidamente. En general, los temas relacionados con la entrega, la devolución y el servicio estuvieron entre los más twitteados. Las quejas también sugieren que la falta de conocimiento sobre los procedimientos y la información insuficiente son dimensiones que requieren atención. Al comparar las quejas formales presentadas por los consumidores con el uso de Twitter, el estudio concluye que éstos utilizan este último para quejarse a las instituciones.
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AMVO (2020) Estudio sobre venta online en México 2020 (Study about online sales in Mexico), available at https://www.amvo.org.mx/estudios/estudio-sobre-venta-online-en-mexico-2020/
Antelmi, A., Malandrino, D., & Scarano, V. (2019). Characterizing the Behavioral Evolution of Twitter Users and The Truth Behind the 90-9-1 Rule. In L. Liu & R. White (Eds.), Companion Proceedings of The 2019 World Wide Web Conference (pp. 1035-1038). ACM. https://doi.org/10.1145/3308560.3316705
Arndt, J. (1967). Role of Product-Related Conversations 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., & Sotgiu, F. (2020). Conceptualizing the electronic word-ofmouth 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/10.1007/s11747-019-00706-1
Balaji, M. S., Jha, S., & Royne, M. B. (2015). Customer e-complaining behaviours using social media. The Service Industries Journal, 35(11-12), 633-654. https://doi.org/10.1080/02642069.2015.1062883
Batzdorfer, V., Steinmetz, H., Biella, M., & Alizadeh, M. (2022). Conspiracy theories on Twitter: emerging motifs and temporal dynamics during the COVID-19 pandemic.
International Journal of Data Science and Analytics, 13, 315-333. https://doi.org/10.1007/s41060-021-00298-6
Soyoung Boo & Jooho Kim (2013) Comparison of Negative eWOM Intention: An Exploratory
Study, Journal of Quality Assurance in Hospitality & Tourism, 14:1, 24-48, https://doir.org/ 10.1080/1528008X.2013.749381
Boo, Soyoung, and Jooho Kim. "Comparison of negative eWOM intention: an exploratory study." Journal of Quality Assurance in Hospitality & Tourism 14.1 (2013): 24-48.
https://doi.org/10.1080/1528008X.2013.749381
Cantallops, A. S. & Salvi, F. (2014). New consumer behavior: A review of research on eWOM and hotels. International Journal of Hospitality Management, 36, 41-51. https://doi.org/10.1016/j.ijhm.2013.08.007
Castello, V. (2020). Desafíos y oportunidades para el turismo en el marco de la pandemia COVID-19 (Challenges and opportunities for tourism in the COVID-19 pandemic context). Cuadernos de Política Exterior Argentina, (131), 115-118. https://doi.org/10.35305/cc.vi131.85 Cebral-Loureda, M. & Sued-Palmeiro, G. E. (2021). Los inicios de la pandemia de COVID19 en Twitter. Análisis computacional de la conversación pública en lengua española (The beginnings of the COVID19 pandemic on Twitter. Computational analysis of public conversation in Spanish), Cuadernos.Info, (49), 10-25. https://doi.org/10.7764/cdi.49.27467
Crié, D. (2003). Consumers' complaint behaviour. Taxonomy, typology and determinants:
Towards a unified ontology. Journal of Database Marketing & Customer Strategy Management, 11, 60-79. https://doi.org/10.1057/palgrave.dbm.3240206
Dalla Pozza, I. (2014). Multichannel management gets “social”. European Journal of
Marketing, 48(7/8), 1274-1295. https://doir.org/10.1108/EJM-10-2012-0598
Einwillier, S. & Steilen,S. (2015). Handling complaints on social network sites – An analysis of complaints and complaint responses on Facebook and Twitter pages of large US companies. Public Relations Review, 41(2), 195-204. https://doi.org/10.1016/j.pubrev.2014.11.012
Etter, M. & Vestergaard, A. (2015). Facebook and the public framing of a corporate crisis.
Corporate Communications: An International Journal, 20(2), 163-177. https://doi.org/10.1108/CCIJ-10-2013-0082
Fletcher, A., Crawford, G. S., Crémer, J., Dinielli, D., Heidhues, P., Luca, M., Salz, T., Schnitzer, M., Scott Morton, F. M., Seim, K., & Sinkinson, M. (2021). Consumer protection for online markets and large digital platforms (Digital Regulation Project - Policy Discussion Paper; No. 1). Yale University. https://doi.org/10.2139/ssrn.3923588
Frasquet, M., Ieva, M., & Ziliani, C. (2019). Understanding complaint channel usage in multichannel retailing. Journal of Retailing and Consumer Services, 47, 94-103. https://doi.org/10.1016/j.jretconser.2018.11.007
Gelbrich, K. (2010). Anger, frustration, and helplessness after service failure: coping strategies and effective informational support. Journal of the Academy of Marketing Science, 38, 567-585. https://doi.org/10.1007/s11747-009-0169-6
Golmohammadi, A., Havakhor, T., Gauri, D. K., & Comprix, J. (2021). Complaint Publicization in
Social Media. Journal of Marketing, 85(6), 1-23. https://doi.org/10.1177/00222429211002183
Gutiérrez-Leefmans, M. & Rico-Sulayes, A. (2022) Logistics and COVID-19: a Social Media analysis of users’ complaints. In A. Martínez Sala, C. Paradinas Márquez, &
D. Muñoz Sastre (Coords.), Comunicación y soluciones digitales para nuevos contenidos (Communication and digital solutions for new content) (pp. 205-218). Gedisa.
Harrison‐Walker, L. (2001). E‐complaining: a content analysis of an Internet complaint forum. Journal of Services marketing, 15(5), 397-412.
Hayes, J. L., Golan, G., Britt, B., & Applequist, J. (2020). How advertising relevance and consumer– Brand relationship strength limit disclosure effects of native ads on Twitter. International Journal of Advertising, 39(1), 131-165. https://doi.org/10.1080/02650487.2019.1596446 Heinonen, K. (2011). Consumer activity in social media: Managerial approaches to consumers' social media behavior. Journal of Consumer Behaviour, 10(6), 356-364. https://doi.org/10.1002/cb.376
Hennig-Thurau, T., Gwinner, K. P., Walsh, G., & Gremler, D. D. (2004). Electronic wordof-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
IAB México presenta la 11a edición del Estudio de Consumo de Medios y Dispositivos entre Internautas Mexicanos (IAB Mexico presents the 11th edition of the Study of Media and Device Consumption among Mexican Internet Users). (2019). Roastbrief. https://roastbrief.com.mx/2019/05/iab-mexico-presenta-la-11a-edicion-del-estudio-deconsumo-de-medios-y-dispositivos-entre-internautas-mexicanos/
Ibrahim, N. F. & Wang, X. (2019). A text analytics approach for online retailing service improvement: Evidence from Twitter. Decision Support Systems, 121, 37-50. https://doi.org/10.1016/j.dss.2019.03.002
Instituto Nacional de Estadística y Geografía. (2020). Encuesta Nacional sobre Disponibilidad y Uso de Tecnologías de la Información en los Hogares (ENDUTIH) 2020 (National Survey on Availability and Use of Information Technologies in Homes). https://www.inegi.org.mx/programas/dutih/2020/
Instituto Nacional de Estadística y Geografía. (2021, April 23). Indicadores de Empresas Comerciales (Commercial Enterprises’ Indexes). https://www.inegi.org.mx/app/saladeprensa/ noticia.html?id=6466
Klimach, A., Evans, J., Stevens, J., & Creasey, N. (2020). Rash as a presenting complaint in a child with COVID‐19. Pediatric Dermatology, 37(5), 966-967. https://doi.org/10.1111/pde.14257
Kundu, S. & Chakraborti, S. (2020). A comparative study of online consumer reviews of Apple iPhone across Amazon, Twitter and MouthShut platforms. Electronic Commerce
Research, 22, 925-950. https://link.springer.com/article/10.1007/s10660-020-09429-w Liu, X., Fu, X., Hua, C., & Li, Z. (2021). Crisis information, communication strategies and customer complaint behaviours: the case of COVID-19. Tourism Review, 76(4), 962-983. https://doi.org/10.1108/TR-01-2021-0004
Mattila, A. S. & Wirtz, J. (2004). Consumer complaining to firms: the determinants of channel choice. Journal of Services Marketing, 18(2), 147-155. https://doi.org/10.1108/08876040410528746
Mei, X. Y., Bagaas, I. K., & Relling, E. K. (2019). Customer complaint behaviour (CCB) in the retail sector: why do customers voice their complaints on Meta? The International Review of Retail, Distribution and Consumer Research, 29(1), 63-78. https://doi.org/10.1080/09593969.2018.1556179
Nilashi, M., Abumalloh, R. A., Alrizq, M., Alghamdi, A., Samad, S., Almulihi, A., Althobaiti, M. M., Ismail, M. Y., & Mohd, S. (2022). What is the impact of eWOM in social network sites on travel decision-making during the COVID-19 outbreak? A two-stage methodology. Telematics and Informatics, 69, 101795.
OECD (2022), The role of online marketplaces in protecting and empowering consumers.
Country and business survey findings, OECD Digital Economy Papers, No. 329
Okazaki, S., Díaz-Martín, A. M., Rozano, M., & Menéndez-Benito, H. D. (2015). Using Twitter to engage with customers: a data mining approach. Internet Research, 25(3), 416-434. https://doi.org/10.1108/IntR-11-2013-0249
Olaleye, S. A., Sanusi, I. T., & Salo, J. (2018). Sentiment analysis of social commerce:
a harbinger of online reputation management. International Journal of Electronic Business, 14(2), 85-102. https://doi.org/10.1504/IJEB.2018.094864
Prince, G. & Sergel, M. (2020). Persistent hiccups as an atypical presenting complaint of COVID-19. The American Journal of Emergency Medicine, 38(7), 1546.e5-1546.e6. https://doi.org/10.1016/j.ajem.2020.04.045
Rathan, M., Hulipalled, V. R., Venugopal, K. R., & Patnaik, L. M. (2018). Consumer insight mining: aspect based Twitter opinion mining of mobile phone reviews. Applied Soft Computing, 68, 765-773. https://doi.org/10.1016/j.asoc.2017.07.056
Read, W., Robertson, N., McQuilken, L., & Ferdous, A. S. (2019). Consumer engagement on Twitter: perceptions of the brand matter. European Journal of Marketing, 53(9), 1905-1933. https://doi.org/10.1108/EJM-10-2017-0772
Redes sociales con el mayor porcentaje de usuarios en México en 2022 (Social networks with the highest percentage of users in Mexico in 2022). (2023, March 28). Statista. https://es.statista.com/estadisticas/1035031/mexico-porcentaje-de-usuarios-por-red-social/
Wang, Y., Zhang, M., Li, S., McLeay, F., & Gupta, S. (2021). Corporate Responses to the Coronavirus Crisis and their Impact on Electronic‐Word‐Of‐Mouth and Trust Recovery: Evidence from Social Media. British Journal of Management, 32(4), 1184-1202. https://doi. org/10.1111/1467-8551.12497
Yang, H. (2013). A cross-cultural study of market mavenism in social media: exploring young American and Chinese consumers’ viral marketing attitudes, eWOM motives
and behaviour. International Journal of Internet Marketing and Advertising, 8(2), 102-124. https://doi.org/10.1504/IJIMA.2013.058596
Yen, C. L. A., & Tang, C. H. H. (2015). Hotel attribute performance, eWOM motivations, and media choice. International Journal of Hospitality Management, 46, 79-88.
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