El Impacto del Uso del Big Data en el Mercado de Bebidas Refrescantes en Mexico

dc.contributor.authorPerez Morales, Fabian Alejandro
dc.contributor.cvlachttps://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001456134
dc.date.accessioned2024-05-07T17:43:50Z
dc.date.available2024-05-07T17:43:50Z
dc.date.issued2024-03-02
dc.descriptionEn la actualidad, el avance tecnológico y la proliferación de datos han transformado diversos sectores económicos, siendo el mercado de bebidas refrescantes en México uno de los más impactados. La disponibilidad de grandes volúmenes de datos, conocidos como Big Data, ha proporcionado a las empresas del sector valiosa información para analizar tendencias del consumidor, mejorar la eficiencia operativa y desarrollar estrategias de marketing más precisas. Este ensayo se centra en explorar las implicaciones del uso del Big Data en dicho mercado, específicamente en relación con la privacidad de los consumidores y las estrategias de mercado implementadas por las empresas. El documento se estructura en tres partes: contextualización de los avances en el Big Data, argumentos que responden a la pregunta guía utilizando casos de compañías (multinacional y local), y conclusiones. Se destaca que el uso estratégico del Big Data por parte de empresas, como Coca-Cola y Jarritos Cola en México, ha sido fundamental para analizar patrones de consumo, comprender el comportamiento del consumidor y anticipar tendencias del mercado. Sin embargo, se plantean desafíos éticos, especialmente en términos de privacidad, transparencia y equidad en el tratamiento de la información de los consumidores. La conclusión resalta la importancia de regulaciones éticas para garantizar un equilibrio adecuado entre la obtención de información valiosa y la protección de la privacidad.spa
dc.description.abstractCurrently, technological advancement and the proliferation of data have transformed various economic sectors, with the soft drinks market in Mexico being one of the most impacted. The availability of large volumes of data, known as Big Data, has provided companies in the sector with valuable information to analyze consumer trends, improve operational efficiency, and develop more accurate marketing strategies. This essay focuses on exploring the implications of the use of Big Data in such a market, specifically in relation to consumer privacy and the market strategies implemented by companies. The document is structured in three parts: contextualization of advances in Big Data, arguments that answer the guiding question using cases of companies (multinational and local), and conclusions. It is highlighted that the strategic use of Big Data by companies, such as Coca-Cola and Jarritos Cola in Mexico, It has been instrumental in analyzing consumption patterns, understanding consumer behavior, and anticipating market trends. However, ethical challenges arise, especially in terms of privacy, transparency and fairness in the treatment of consumer information. The conclusion highlights the importance of ethical regulations to ensure an appropriate balance between obtaining valuable information and protecting privacy.spa
dc.description.degreelevelPregradospa
dc.description.degreenameProfesional en Mercadeospa
dc.format.mimetypeapplication/pdf
dc.identifier.citationPerez Morales, F. A. (s.f.). El Impacto del Uso del Big Data en el Mercado de Bebidas Refrescantes en Mexico. [Trabajo de Grado, Universidad Santo Tomás]. Repositorio Institucional.spa
dc.identifier.instnameinstname:Universidad Santo Tomásspa
dc.identifier.reponamereponame:Repositorio Institucional Universidad Santo Tomásspa
dc.identifier.repourlrepourl:https://repository.usta.edu.cospa
dc.identifier.urihttp://hdl.handle.net/11634/55046
dc.language.isospa
dc.publisherUniversidad Santo Tomásspa
dc.publisher.branchCRAI-USTA Bogotáspa
dc.publisher.facultyFacultad de Mercadeospa
dc.publisher.programPregrado Mercadeospa
dc.relation.referencesAgarwal, R., & Dhar, V. (2014). Big Data, Data Science and Analytics: The opportunity and challenge for IS research. Information Systems Research, 443 - 448spa
dc.relation.referencesAkter, S., Wamba, S., Gunasekaran, A., & Dubey, R. (2016). How to improve firm performance using big data analytics capacbility and business strategy aligment. International Journal of Production Economics, 113 - 131spa
dc.relation.referencesBenítez-Amado, J., & Walczuch, M. (2012). Information technology, the organizational capability of proactive corporate environmental strategy and firm performance: a resource-based analysis. European Journal of Information Systems, 664 - 679.spa
dc.relation.referencesBerliner, D., Palmer-Rubin, B., & Tapia, J. (2022). Big data y acceso a la información en México. Obtenido de bigdataytransparenciamx.lse.ac.uk/spa
dc.relation.referencesBoubiche, S., Boubiche, D. E., Bilami, A., & Toral-Cruz, H. (2018). Big Data Challenges and Data Aggregation Strategies in Wireless Sensor Networks. IEEE, 558 - 571spa
dc.relation.referencesCao, G., Tian, N., & Blankson, C. (2021). Big Data, Marketing Analytics, and Firm Marketing Capabilities. Journal of Computer Information Systems , 442 - 451spa
dc.relation.referencesClader, B., Malthouse, E., & Maslowska, E. (2016). Brand marketing, big data and social innovation as future research directions for engagement. Journal of Marketing Management, 579 - 585.spa
dc.relation.referencesEbner, K., Buhnen, T., & Urbach, N. (2014). Think Big with Big Data: Identifying Suitable Big Data Strategies in Corporate Environments. IEEE, 748 - 757.spa
dc.relation.referencesGarcía, N. (2013). The Effects of Language on Attitudes Toward Advertisements and Brands Trust in Mexico. Journal of Current Issues & Research in Advertising, 77 - 92.spa
dc.relation.referencesGómez, E. (2019). Coca-Cola’s political and policy influence in Mexico: understanding the role of institutions, interests and divided society . Health Policy and Planning, 520 - 528.spa
dc.relation.referencesGoyzueta, S. (2015). Big Data Marketing: una aproximación. Revista Perspectivas, 147 - 158.spa
dc.relation.referencesGupta, M., & George, J. (2016). Toward the development of a big data analytics campability. Information & Management, 1049 - 1064.spa
dc.relation.referencesHilbert, M. (2016). Big Data for Development: A Review of Promises and Challenges. Technology Virtual Issue, 135 - 174.spa
dc.relation.referencesHuse, O., Reevw, E., Bell, C., Sacks, G., Baker, P., Wood, B., & Backholer, K. (2022). Strategies used by the soft drink industry to grow and sustain sales: a case-study of The Coca-Cola Company in East Asia . BMJ Global Healtspa
dc.relation.referencesJanssen, M., Van Der Vort, H., & Wahyudi, A. (2017). Factors influencing big data decision-making quality. Journal of Business Research, 338 - 345spa
dc.relation.referencesJieren, L., & Xiaolin, L. (2016). Innovation business model of Big Data. Taking Coca-Cola as an example. International Conference on Management.spa
dc.relation.referencesKlievink, B., Romijn, B.-J., Cunningham, S., & Bruijn, H. (2017). Big data in the public sector: Uncertainties and readiness. Information Systems Frontiers, 267 - 283.spa
dc.relation.referencesLee, J., Lapira, E., Bagheri, B., & Kao, H. (2013). Recent advances and trends in predictive manufacturing systems in big data environment. Manufacturing Letters, 38 - 41.spa
dc.relation.referencesMacca, L., Shehzad, N., Kovacova, M., & Santoro, G. (2024). Unlocking e-commerce potential: micro and small enterprises strike back in the food and beverage industry. European JOurnal of Innovation Managementspa
dc.relation.referencesMcLaren, T., Head, M., Yuan, Y., & Chan, Y. (2011). A multilevel model for measuring fit between a firm’s competitive strategies and information systems capabilities. MIS Quarterly, 909 - 929spa
dc.relation.referencesMedina La Plata, E. H. (2023). Big Data. Los datos como generadores de valor. En E. H. Medina La Plata. Lima: Editorial UPC.spa
dc.relation.referencesMerendino, A., Dibb, S., & Meadows, M. (2018). Big data, big decisions: The impact of big data on board level decision-making. Journal of Businessc Research, 67 - 78.spa
dc.relation.referencesMittelstadt, B., & Floridi, L. (2016). The Ethics of Big Data: Current and Foreseeable Issues in Biomedical Contexts. Law, Governance and Technology Series, 445 - 480.spa
dc.relation.referencesMontgomery, K., Chester, J., Nixon, L., & Dorfman, L. (2017). Big Data and the transformation of food and beverage marketing: undermining efforts to reduce obesity? Critical Public Health, 110 - 117.spa
dc.relation.referencesNolasco-Mamani, M., Espinoza, S., & Choque-Salcedo, R. (2023). Innovación y Transformación Digital en la Empresa. Guayaquil: ACVENISPOH.spa
dc.relation.referencesOrtiz, D., Joyanes, L., & Giraldo, L. (2016). Los desafíos del marketing en la era del big data. e Ciencias de la información.spa
dc.relation.referencesPopovic, A., Hackney, R., & Castelli, M. (2018). The impact of big data analytics on firms’ high value business performance. The Journal of Strategic Information Systems, 209 - 222.spa
dc.relation.referencesSalinas, A. (2016). Análisis de las preferencias en el consumo de bebidas carbonatadas en los hogares del municipio de Tenancingo, Estado de México. Centro Universitario UAEM Tenancingo.spa
dc.relation.referencesShanks, G., Gloet, M., Asadi, I., Frampton, K., & Tamm, T. (2018). Achieving benefits with enterprise architecture. The Journal of Strategic Information Systems, 139 - 156.spa
dc.relation.referencesToledo, H., & Hubenova, V. (2018). Contemporary Marketing Practices in Mexico. Economic Alternatives, 239 - 249.spa
dc.relation.referencesVan Horn, D., Olewnik, A., & Lewis, K. (2013). Design Analytics: Capturing, Understanding, and Meeting Customer Needs Using Big Data . 863 - 875.spa
dc.relation.referencesZwitter, A. (2014). Big Data Ethics. Big Data & Societyspa
dc.rightsAtribución-NoComercial-SinDerivadas 2.5 Colombia
dc.rights.accessrightsinfo:eu-repo/semantics/openAccess
dc.rights.coarhttp://purl.org/coar/access_right/c_abf2spa
dc.rights.localAbierto (Texto Completo)spa
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/2.5/co/
dc.subject.keywordSpanish Golde agespa
dc.subject.lembMercadeospa
dc.subject.lembTecnologíaspa
dc.subject.lembEconomíaspa
dc.subject.lembEmpresaspa
dc.subject.lembConsumidorspa
dc.subject.proposalBig Dataspa
dc.subject.proposalBebidas Refrescantesspa
dc.subject.proposalMéxicospa
dc.titleEl Impacto del Uso del Big Data en el Mercado de Bebidas Refrescantes en Mexicospa
dc.type.coarhttp://purl.org/coar/resource_type/c_7a1f
dc.type.coarversionhttp://purl.org/coar/version/c_ab4af688f83e57aa
dc.type.driveinfo:eu-repo/semantics/bachelorThesis
dc.type.localTrabajo de gradospa
dc.type.versioninfo:eu-repo/semantics/acceptedVersion

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