Social commerce adoption by generations Y and Z in Mexico. An omnichannel approach
DOI:
https://doi.org/10.31637/epsir-2025-1711Keywords:
social networks, e-commerce, strategy, omnichannel, communal strategy, millennial, centennial, social commerce;, chi-squareAbstract
Introduction: Commerce on social networks has exploded in recent years and is part of the omnichannel strategy of companies. Despite being a common phenomenon globally, there are few studies about it in Latin America. Mexico is the second economy in the region with a high percentage of young people, hence it is an important unit of study. Methodology: Most research in this regard has carried out quantitative studies. This study is qualitative, based on focus groups. Analysis techniques are combined, such as the chi-square test of independence and thematic analysis. Results: It is found that millennials are the ones who are more inclined to purchase through social networks and are more concerned about the quality of the products, while centennials prefer the physical store on certain occasions and show more distrust when making purchases through social networks. Discussion: Online information is equally preferred by both groups, as it generates trust. However, there is a significant concern about security when transacting on social networks in both generations. Conclusions: It is necessary to strengthen consumer confidence by companies and through public policies.
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Al-Dwairi, R. (2017). Social commerce adoption among Jordanian youth: empirical study. International Journal of Business Information Systems, 26(3), 277-296. https://doi.org/10.1504/IJBIS.2017.087104 DOI: https://doi.org/10.1504/IJBIS.2017.087104
Álvarez, J. P. (10 de marzo de 2024). Compras por redes sociales. Consumidores latinoamericanos lideran esta tendencia. Bloomberg. https://shorturl.at/b3bRd
Anaya-Sánchez, R., Castro-Bonaño, J. M. y González-Badía, E. (2020). Preferencias del consumidor millennial respecto al diseño de webs de social commerce. Revista Brasileira de Gestão de Negócios, 22, 123-139. https://doi.org/10.7819/rbgn.v22i1.4038 DOI: https://doi.org/10.7819/rbgn.v22i1.4038
Barakat, A. E., Hassan, M. y Khashaba, M. A. (noviembre de 2021). Perspectives in the impact of omni channels retailing on customer loyalty in the Egyptian retail market. En International Conference on Management and Industrial Engineering (10), pp. 331-345. Niculescu Publishing House.
Bloor, M., Frankland, J., Thomas, M. y Robson, K. (2001). Focus Groups in Social Research. Forum Qualitative Sozialforschung/Forum: Qualitative Social Research, 3(4). https://doi.org/10.17169/fqs-3.4.775 DOI: https://doi.org/10.4135/9781849209175
Curry, L. (23 de junio de 2015). Fundamentals of Qualitative Research Methods: Data Analysis (Module 5) [Video]. YouTube. https://tinyurl.com/yak7ch7k
Escamilla, O. (11 de septiembre de 2020). El boom del e-commerce en Latinoamérica llegaría en 2024. Merca2.0. https://tinyurl.com/25sjx53m
Gutiérrez-Leefmans, M. (2022). Innovación de la estructura de canales como respuesta a la pandemia de COVID-19: Casos de México. En R. Kovid y V. Kumar (Eds.), Casos sobre respuestas de mercados emergentes a la pandemia de COVID-19 (pp. 1-20). IGI Global Publishing. https://doi.org/10.4018/978-1-6684-3504-5.ch001 DOI: https://doi.org/10.4018/978-1-6684-3504-5.ch001
Hernández-Sampieri, R. y Torres, C. P. M. (2018). Metodología de la investigación (4ª ed.). McGraw-Hill Interamericana.
Instituto Nacional de Estadística y Geografía. (agosto de 2023). Estadísticas a propósito del día internacional de la juventud. Datos nacionales. https://tinyurl.com/4hxmftn2
Kantar. (2024). Omnichannel report 2024. Decodificando 25 mil millones de elecciones de los consumidores en toda América Latina. https://rb.gy/4r6i8y
Krueger, R. A. (1998). Analyzing and reporting focus group results. Sage Publications. DOI: https://doi.org/10.4135/9781483328157
Kumar, A., Salo, J. y Li, H. (2019). Stages of user engagement on social commerce platforms: analysis with the navigational clickstream data. International Journal of Electronic Commerce, 23(2), 179-211. https://doi.org/10.1080/10864415.2018.1564550 DOI: https://doi.org/10.1080/10864415.2018.1564550
Kurochkina, A., Lukina, O., Nadezhina, O., Rasskazova, O. y Kharlamov, A. (octubre de 2021). Use of Generational Approach to Building a Consumer Solution Model for Generations Y and Z. En Proceedings of the 3rd International Scientific Conference on Innovations in Digital Economy, San Petersburgo, Rusia. DOI: https://doi.org/10.1145/3527049.3527055
Mahadevan, K. y Joshi, S. (2022). Omnichannel retailing: a bibliometric and network visualization analysis. Benchmarking: An International Journal, 29(4), 1113-1136. https://doi.org/10.1108/BIJ-12-2020-0622 DOI: https://doi.org/10.1108/BIJ-12-2020-0622
Marchant, I. y Cummins, J. P. (19 de marzo de 2024). Tendencias digitales 2024 en América Latina. Comscore. https://rb.gy/wyal9z
McHugh, M. L. (2013). The chi-square test of independence. Biochemia Medica, 23(2), 143-149. https://doi.org/10.11613/BM.2013.018 DOI: https://doi.org/10.11613/BM.2013.018
Monfared, A. R. K., Ghaffari, M., Barootkoob, M. y Malmiri, M. M. (2021). The role of social commerce in online purchase intention: mediating role of social interactions, trust, and electronic word of mouth. Journal for International Business and Entrepreneurship Development, 13(1), 22-39. https://doi.org/10.1504/JIBED.2021.112264 DOI: https://doi.org/10.1504/JIBED.2021.112264
Paramita, A. S. (2023). Social Commerce Purchase Intention Factors in Developing Countries: A systematic literature review. JAETS, 4(2), 847-854. https://doi.org/10.37385/jaets.v4i2.1585 DOI: https://doi.org/10.37385/jaets.v4i2.1585
Rosani, M. (16 de febrero de 2024). El futuro del retail en Latinoamérica: Una apuesta por la omnicanalidad. LinkedIn. https://rb.gy/zzahm2
Serrano, L. (31 de enero de 2024). Consumidor omnicanal en México: Qué es y cuáles son sus tendencias. InformaBTL. https://rb.gy/ov9smf
Shapiro, C. y Varian, H. R. (1999). Information rules: A strategic guide to the network economy. Harvard Business Press.
Social Science Statistics. (2024). Calculators. Chi-Square Calculator for 5 x 5 (or less) Contingency Table. https://tinyurl.com/2e88rwet
Statista. (2024). Boom del e-commerce en Latinoamérica. https://tinyurl.com/2jk322f2
Teh, P. L., Ahmed, P. K. y Tayi, G. K. (2015). Generation-Y shopping: the impact of network externalities and trust on adoption of social commerce. International Journal of Electronic Business, 12(2), 117-141. https://doi.org/10.1504/IJEB.2015.069102 DOI: https://doi.org/10.1504/IJEB.2015.069102
Vernia, M. (7 de julio de 2023). Nuevas estadísticas del uso de Redes Sociales que quieres y debes conocer. https://tinyurl.com/5yyepajt
Williams, K. C. y Page, R. A. (2011). Marketing to the generations. Journal of Behavioral Studies in Business, 3(1), 37-53
Zhang, K. Z. y Benyoucef, M. (2016). Consumer behavior in social commerce: A literature review. Decision Support Systems, 86, 95-108. https://doi.org/10.1016/j.dss.2016.04.001 DOI: https://doi.org/10.1016/j.dss.2016.04.001
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