Evaluación de quejas de consumidores durante COVID-19 analizando Twitter a gran escala

Autores/as

DOI:

https://doi.org/10.7764/cdi.55.56763

Palabras clave:

pandemic, social media, consumer protection, consumer complaining behavior, government agency, eWOM, digital communication, Mexico

Resumen

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.

Biografía del autor/a

Manuela Gutiérrez-Leefmans, Universidad de las Américas Puebla, Puebla, México

Manuela Gutiérrez-Leefmans, associate professor, Ph.D. in Business and master in Information Systems from the University of Manchester, United Kingdom. She worked 10 years in the industry, in charge of the implementation of information systems in Latin America. She is an active reviewer of international journals. Her main areas of research are information systems, business models, digital platforms, and consumer protection. Winner of the Case Writing Competition EFMD 2017. She is a member of the Mexican National System of Researchers.

Fiorentina García-Miramón, Tec-Check Organización de Consumidores en Línea A.C. , Ciudad de México, México

Fiorentina García Miramón, co-founder of Tec-Check A.C., the first civil association in Mexico dedicated to the protection and defense of digital consumer rights. She holds a master’s degree in Public Policy from the Hertie School of Governance in Berlin and a bachelor’s degree in economics and political science from Tecnológico de Monterrey. Her experience focuses on public policy analysis focused on economic development and public finance. She is currently a director in the Mexican federal government.

Maximilian David Murck, Tec-Check Organización de Consumidores en Línea A.C. , Ciudad de México, México

Maximilian Murck, CEO of Tec-Check A.C., the first civil association in Mexico dedicated to the protection and defense of digital consumer rights. Master in International Economics from the University of St. Andrews (Scotland), he has been a consultant for the World Bank, USAID, the United Nations, and program manager at the German Cooperation for Sustainable Development (GIZ) for five years.

Citas

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.

https://doi.org/10.1016/j.ijhm.2015.01.003

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Publicado

2023-05-31

Cómo citar

Gutiérrez-Leefmans, M., García-Miramón, F., & Murck, M. D. (2023). Evaluación de quejas de consumidores durante COVID-19 analizando Twitter a gran escala. Cuadernos.Info, (55), 162–185. https://doi.org/10.7764/cdi.55.56763