El impacto de la inteligencia artificial en el marketing de las empresas del IBEX35

Authors

  • Juan J. CARRERA-HERRERA University of Cádiz image/svg+xml Author
  • Pablo MUÑOZ Universidad de Cádiz, España - ORCID: 0000-0003-1183-2876 Author

DOI:

https://doi.org/10.48082/espacios-a26v47n01i11

Keywords:

artificial intelligence, ibex35, marketing, processes, digitalization

Abstract

The research aimed to analyze the relationship between Artificial Intelligence and Marketing in IBEX35 companies, emphasizing its use in commercial strategies and its positive impact on projects. It highlights the implementation of machine learning, data analysis, cybersecurity, and process automation, which improve efficiency, market segmentation, and consumer understanding. AI drives competitiveness and success in a digital environment, with revolutionary potential for the future beyond current advancements. It is a key tool for innovative processes and strategies.

References

Adigital, & Boston Consulting Group. (2024). Economía digital en España (4.ª ed.). Adigital. Recuperado de https://www.adigital.org/economia-digital-en-espana-2024

Creswell, J. W., & Poth, C. N. (2016). Qualitative inquiry and research design: Choosing among five approaches. Sage publications. Recuperado de https://academia.utp.edu.co/seminario-investigacion-II/files/2017/08/INVESTIGACION-CUALITATIVACreswell.pdf

CNMV. (1990, 27 de diciembre). Circular 7/1990, sobre normas contables y estados financieros reservados de Instituciones de Inversión Colectiva. Comisión Nacional del Mercado de Valores. Recuperado de https://www.cnmv.es/DocPortal/legislacion/circulares/7_90.pdf

CNMV. (s. f.). El Índice IBEX 35 (infografía). Comisión Nacional del Mercado de Valores. Recuperado de https://www.cnmv.es/DocPortal/Publicaciones/Infografias/InfografiaIbex35CNMV.pdf

Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard Business Review, 96(1), 108–116. Recuperado de https://hbr.org/2018/01/artificial-intelligence-for-the-real-world

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. Recuperado de https://doi.org/10.2307/249008

Deloitte. (2019). The Deloitte Consumer Review: Made-to-order: The rise of mass personalisation. Deloitte. Recuperado de https://blog.blackcurve.com/content/dam/Deloitte/ch/Documents/consumer-business/ch-en-consumer-business-made-to-order-consumer-review.pdf

Essam, F., El, H. y Ali, SRH (2022). Comparación de los coeficientes de correlación de Pearson, Spearman y Kendall tau utilizando variables cuantitativas. Asian J. Probab. Stat ., 20 (3), 36-48. Recuperado de https://doi.org/10.9734/ajpas/2022/v20i3425

Huang, M.-H., & Rust, R. T. (2021). A strategic framework for artificial intelligence in Marketing. Journal of the Academy of Marketing Science, 49(1), 30–50. Recuperado de https://doi.org/10.1007/s11747-020-00749-9

Ifekanandu, CC, Anene, JN, Iloka, CB y Ewuzie, CO (2023). Influencia de la inteligencia artificial (IA) en la experiencia y la lealtad del cliente: el papel mediador de la personalización. Journal of Data Acquisition and Processing , 38 (3), 1936. Recuperado de https://doi.org/10.5281/zenodo.98549423

Kaplan, R. S., & Norton, D. P. (1992). The balanced scorecard: Measures that drive performance. Harvard Business Review, 70(1), 71–79. Recuperado de https://hbr.org/1992/01/the-balanced-scorecard-measures-that-drive-performance-2

Likert, R. (1932). A technique for the measurement of attitudes (Archives of Psychology No. 140). Recuperado de https://archive.org/details/likert-1932

McKinsey & Company. (2024). Harnessing the power of AI in distribution operations. Recuperado de https://www.mckinsey.com/industries/industrials-and-electronics/our-insights/distribution-blog/harnessing-the-power-of-ai-in-distribution-operations

McKinsey & Company. (2023). El potencial económico de la IA generativa: la próxima frontera de productividad. McKinsey & Company. Recuperado de https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/the-economic-potential-of-generative-ai-the-next-productivity-frontier#industry-impacts

McKinsey Global Institute. (2018). Notes from the AI frontier: Modeling the impact of AI on the world economy. McKinsey & Company. Recuperado de https://www.mckinsey.com/featured-insights/artificial-intelligence/notes-from-the-ai-frontier-modeling-the-impact-of-ai-on-the-world-economy

Morales, NM (2025). Adopción y usabilidad de la Inteligencia Artificial en la creación de contenido de Marketing. Journal of Posthumanism, 5 (3), 1107–1118. Recuperado de https://doi.org/10.63332/joph.v5i3.852

Ponte, E. B., & Lavorato, D. (2019). La inteligencia artificial en las empresas del IBEX 35. AECA: Revista de la Asociación Española de Contabilidad y Administración de Empresas (128), 8-10. Recuperado de https://aeca.es/wp-content/uploads/2020/01/REVISTA-AECA-128.pdf

Ruiz Cano, D. (2024). El potencial económico de la IA generativa: la próxima frontera de la productividad. Retail Media. Recuperado de https://www.programaticaly.com/portada/potencial-economico-ia-generativa-proxima-frontera-productividad

Salesforce. (2024, 15 mayo). What are customer expectations, and how have they changed? [Artículo web]. Salesforce. Recuperado de https://www.salesforce.com/in/resources/articles/customer-expectations/

SmarterHQ. (2019). Privacy & Personalization Report [PDF]. SmarterHQ. Recuperado de https://c.smarterhq.com/resources/Privacy-Personalization-Report.pdf

TTConsultants. (2024). Personalization in Market Research – Why It Matters More Than Ever in 2024. [Artículo web]. Recuperado de https://ttconsultants.com/personalization-in-market-research-why-it-matters-more-than-ever-in-2024/

University of Virginia Library. (2025). Correlation: Pearson, Spearman, and Kendall’s tau. University of Virginia Library. Recuperado de https://library.virginia.edu/data/articles/correlation-pearson-spearman-and-kendalls-tau

Velazco, L. E. (2024) El Ibex abre sus puertas a la IA para agilizar procesos, pero sin calibrar aún su impacto en las plantillas. Cinco Días. Recuperado de https://cincodias.elpais.com/companias/2024-08-30/el-ibex-abre-sus-puertas-a-la-ia-para-agilizar-procesos-pero-sin-calibrar-aun-su-impacto-en-las-plantillas.html

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478. Recuperado de https://doi.org/10.2307/30036540

Wedel, M., & Kannan, P. K. (2016). Marketing analytics for data-rich environments. Journal of Marketing, 80(6), 97–121. Recuperado de https://doi.org/10.1509/jm.15.0413

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Published

2026-01-30