Marco teórico sobre la creatividad humana como habilidad en el marketing empresarial en la era de inteligencia artificial
DOI:
https://doi.org/10.29105/vtga12.2-1297Palabras clave:
Creatividad Humana, Marketing Empresarial, Inteligencia Artificial, Estrategias de MarketingResumen
La creatividad humana es fundamental en el marketing empresarial, especialmente en la era de la inteligencia artificial (IA). Aunque la IA ofrece herramientas avanzadas para agilizar el análisis de datos y mejorar la personalización, la creatividad humana sigue siendo esencial para diseñar estrategias que generen conexiones emocionales profundas con los consumidores (Amabile T. M., 2020). Este artículo presenta un análisis bibliométrico sobre la relevancia de la creatividad en marketing en un contexto de creciente presencia de la IA, identificando tendencias, autores destacados y temas clave en la literatura reciente. La investigación analiza la frecuencia de términos relacionados con creatividad, marketing e IA en bases de datos académicas y visualiza las conexiones entre estos conceptos mediante análisis de co-ocurrencia y co-citación. Los hallazgos subrayan cómo la creatividad humana desempeña un papel crucial en la generación de comunicación original, estratégica, empática y personalizada. Al mismo tiempo, el uso de la inteligencia artificial como herramienta está revolucionando el marketing al agilizar el análisis de datos, la creación de imágenes y otras ventajas competitivas que cada vez son más indispensables en el sector, nos lleva a analizar si existe un equilibrio entre el talento creativo y la tecnología.
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Albrecht, K. (2015). Inteligencia Práctica. Ediciones B.
AMA. (2017). Definition of marketing. American Marketing Association, https://www.ama.org/the-definition-of-marketing-what-is-marketing/.
Amabile, T. M. (2020). Creativity, Artificial Intelligence, and a World of Surprises. Academy of Management Discoveries, . DOI: https://doi.org/10.5465/amd.2019.0075
Amabile, T. M. (2021). Creativity in context: Update to the social psychology of creativity. Routledge, https://doi.org/10.4324/9781315163399.
Ameen, N., & et al. (2022). Toward Advancing Theory on Creativity in Marketing and Artificial Intelligence. Psychology and Marketing. DOI: https://doi.org/10.1002/mar.21699
Benbya, H., & et al. (2020). Artificial intelligence in organizations: Current state and future opportunities. MIS Quarterly Executive, https://aisel.aisnet.org/misqe/ vol19/iss4/4. DOI: https://doi.org/10.2139/ssrn.3741983
Berente, N., Seidel, S., y Safadi, H. (2021). Data-driven innovation and AI: The role of human creativity in the digital era. Journal of Business Research(https://doi.org/10.1016/j.jbusres.2020.11.045).
Boden, M. (1998). Creativity and artificial intelligence. Artificial Intelligence( https://doi.org/10.1016/s0004- 3702(98)00055-1 ). DOI: https://doi.org/10.1016/S0004-3702(98)00055-1
Bormane, S., y Blaus, E. (2024). Artificial intelligence in the context of digital marketing communication. Front. Commun.(https://doi.org/10.3389/fcomm.2024.1411226). DOI: https://doi.org/10.3389/fcomm.2024.1411226
Bornet, P., y et al. (2021). Intelligent Automation: Learn How to Harness Artificial Intelligence to Boost Business & Make Our World More Human. World Scientific Publishing.
Botega, L., & da Silva, J. (2020). Anartificial intelligence approach to support knowledge management on the selection of creativity and innovation techniques. Journal of Knowledge Management, 24(5), https://doi.org/10.1108/JKM-10- 2019-0559. DOI: https://doi.org/10.1108/JKM-10-2019-0559
Chaisatitkul, A., y et al. (2024). The Power of AI in Marketing: Enhancing Efficiency and Improving Customer Perception Through AI-Generated Storyboards. International Journal of Information Technology. DOI: https://doi.org/10.1007/s41870-023-01661-5
Chalmers, D., MacKenzie, N., & Carter, S. (2021). Artificial Intelligence and Entrepreneurship: Implications for Venture Creation in the Fourth Industrial Revolution. Entrepreneurship Theory and Practice. DOI: https://doi.org/10.1177/1042258720934581
Davenport, T., Guha, A., & et al. (2019). How artificial intelligence will change the future of marketing. Journal of the Academy of Marketing Research(https://doi.org/10.1007/s11747-019-00696-0 ). DOI: https://doi.org/10.1007/s11747-019-00696-0
Davenport, T., Guha, A., & Grewal, D. (2021). How to design an AI marketing strategy. Harvard Business Review(https://hbr.org/2021/07/how-to-design-an-ai-marketing-strategy).
De Bruyn, A., Viswanathan, V., Beh, Y. S., Brock, J. K.-U., & Von Wangenheim, F. (2020). Artificial intelligence and marketing: Pitfalls and opportunities. Journal of Interactive Marketing(https://doi.org/10.1016/j.intmar.2020.04.007). DOI: https://doi.org/10.1016/j.intmar.2020.04.007
Fischer, C., Malycha, C., & et al. (2019). The Influence of Intrinsic Motivation and Synergistic Extrinsic Motivators on Creativity and Innovation. Frontiers in Psychology. DOI: https://doi.org/10.3389/fpsyg.2019.00137
Floridi, L., y Chiriatti, M. (2020). GPT-3: Its nature, scope, limits, and consequences. Minds and Machines(https://doi.org/10.1007/s11023-020-09548-1). DOI: https://doi.org/10.2139/ssrn.3827044
Galati, F., & Bigliardi, B. (2019). Redesigning the model of the initiation and evolution of inter-firm knowledge transfer in R&D relationships. Journal of Knowledge Management. DOI: https://doi.org/10.1108/JKM-05-2018-0326
Gobet, F., & Sala, G. (2019). How artificial intelligence can help us understand human creativity. Frontiers(https://www.frontiersin.org/articles/10.3389/fpsyg.2019.01401/full). DOI: https://doi.org/10.3389/fpsyg.2019.01401
Grewal, D., & et al. (2021). Artificial intelligence: The light and the darkness. Journal of Business Research, https://doi.org/10.1016/j.jbusres.2021.07.043. DOI: https://doi.org/10.1016/j.jbusres.2021.07.043
Guerra-Tamez, C., Kraul Flores, K., & et al. (2024). Decoding Gen Z: AI’s influence on brand trust and purchasing behavior. Frontiers in Artificial Intelligence(https://doi.org/10.3389/frai.2024.1323512). DOI: https://doi.org/10.3389/frai.2024.1323512
Hagtvedt, L. (2019). Creating artificial intelligence: An inductive study of how creative workers forecast the future and manage present emotions. Boston, MA: Boston College University Libraries(https://dlib.bc.edu/ islandora/object/bc-ir:108640).
Han, R., & et al. (2021). Artificial Intelligence in business-to- business marketing: A bibliometric analysis of current research status, development and future directions. Industrial Management & Data Systems(https://doi.org/10.1108/IMDS-05-2021-0300). DOI: https://doi.org/10.1108/IMDS-05-2021-0300
Huang, M., y Rust, R. (2021). Engaged to a robot? The role of AI in service. Journal of Service Research(https://doi.org/10.1177/1094670520902266).
Hwang, F., & Sala, G. (2021). Ideabot: Investigating social facilitation in human‐machine team creativity. Conference on Human Factors in Computing Systems ‐ Proceedings(https://doi.org/10.1145/3411764.3445270). DOI: https://doi.org/10.1145/3411764.3445270
Ismagiloiva, E., & et al. (2020). Visualising the knowledge domain of artificial intelligence in marketing: A bibliometric analysis. IFIP International Federation for Information Processing(https://doi.org/10.1007/978-3-030-64849-7_5). DOI: https://doi.org/10.1007/978-3-030-64849-7_5
Korteling, J., Van de Boer‐Visschedijk, G., & et al. (2021). Human‐versus artificial intelligence. Frontiers in artificial intelligence(https://doi.org/10.3389/frai.2021.622364). DOI: https://doi.org/10.3389/frai.2021.622364
Kumar, V., Rajan, B., & et al. (2019). Understanding the role of artificial intelligence in personalised engagement marketing. California Management Review(https://doi.org/10.1177/0008125619859317). DOI: https://doi.org/10.1177/0008125619859317
Lies, J. (2021). Digital Marketing: Incompatibilities Between Performance Marketing and Marketing Creativity. Journal of Digital and Social Media Marketing. DOI: https://doi.org/10.69554/SSVH5588
Lim, J. (2020). Creativity and Ai. (https://www.coursera.org/specializations/ creativity-ai) Coursera.
Ma, L., y Sun, B. (2019). Machine learning and AI in marketing – Connecting computing power to human insights. International Journal of Research in Marketing(https://doi.org/10.1016/j.ijresmar.2020.04.005).
Makalef, P., y Gupta, M. (2021). Artificial Intelligence Capability: Conceptualization, Measurement Calibration, and Empirical Study on Its Impact on Organizational Creativity and Firm Performance. Information and Management. DOI: https://doi.org/10.1016/j.im.2021.103434
Mariani, M., Perez-Vega, R., & et al. (2022). AI in marketing, consumer research and psychology: A systematic literature review and research agenda. Psychology & Marketing(https://doi.org/10.1002/mar.21619). DOI: https://doi.org/10.1002/mar.21619
Marr, B. (2020). Can machines and artificial intelligence be creative? Forbes(https://www.forbes.com/sites/bernardmarr/2020/02/28/can-machines-and- artificial-intelligence-be-creative/).
Mazzone, M., & Elgammal, A. (2019). Art, creativity, and the potential of artificial intelligence. (https://doi.org/10.3390/arts8010026). DOI: https://doi.org/10.3390/arts8010026
MSI. (2020). Research Priorities. https://www.msi.org/wp-content/uploads/2021/07/MSI-2020-22-Research-Priorities-final.pdf-WORD.pdf.
Mustak, M., Salminen, J., Plé, L., y Wirtz, J. (2021). Artificial intelligence in marketing: Topic modeling, scientometric analysis, and research agenda. Journal of Business Research, 124, 389–404. https://doi.org/10.1016/j.jbusres.2020.10.044 DOI: https://doi.org/10.1016/j.jbusres.2020.10.044
O’Connell, B., y Winter, D. (2020). Practical intelligence and the virtues: Toward an ethical theory of practical wisdom. Routledge.
Pagani, M., & Champion, R. (2023). Artificial Intelligence for Business Creativity. Routledge. DOI: https://doi.org/10.4324/9781003287582
Page, M., McKenzie, J., & et al. (2020). The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. Prisma 2020(https://doi.org/10.1136/bmj.n71).
Paschen, J., y Kietzmann, J. (2019). Artificial intelligence (AI) and its implications. Journal of Business & Industrial Marketing(https://doi.org/10.1108/JBIM-10-2018-0295). DOI: https://doi.org/10.1108/JBIM-10-2018-0295
Pelau, C., Dabija, C., & Ine, E. (2021). What makes an AI device human-like? The role of interaction quality, empathy and perceived psychological anthropomorphic characteris- tics in the acceptance of artificial intelligence in the service industry. Computers in Human Behavior(https://doi.org/10.1016/j.chb.2021.106855). DOI: https://doi.org/10.1016/j.chb.2021.106855
Peyavi, B., & et al. (2020). Revolutionized technologies for marketing: Theoretical review with focus on artificial intelligence. Business Theory and Practice(https://doi.org/10.3846/btp.2020.12313 ). DOI: https://doi.org/10.3846/btp.2020.12313
Rosengren, S., y et al. (2020). A Meta-Analysis of When and How Advertising Creativity Works. Journal of Marketing. DOI: https://doi.org/10.1177/0022242920929288
Sternberg, R. (2021). Adaptive intelligence: Surviving and thriving in times of uncertainty. Cambridge University Press. DOI: https://doi.org/10.1017/9781316650554
van Eck, N. J., & Waltman, L. (n.d.). Citation-based clustering of publications using CitNetExplorer and VOSviewer. Scientometrics, 111(https://doi.org/10.1007/ s11192-017-2300-7), 1053–1070. DOI: https://doi.org/10.1007/s11192-017-2300-7
Verganti, R., Vendraminelli, & Iansiti, M. (2020). Innovation and Design in the Age of Artificial Intelligence. Journal of Product Innovation Management. DOI: https://doi.org/10.1111/jpim.12523
Williams, B. (2020). Dimensions & VOSViewer bibliometrics in the reference interview. Journal Code(https://journal.code4lib.org/articles/14964).
Wilson, H., & Daugherty, P. (2018). Collaborative Intelligence: Humans and AI Are Joining Forces. Harvard Business Review.
Wisetsri, W., & et al. (2021). Systematic analysis and future research directions in artificial intelligence for marketing. Turkish Journal of Computer and Mathematics Education(https://doi.org/10.17762/turcomat.v12i11.5825 ). DOI: https://doi.org/10.17762/turcomat.v12i11.5825
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Derechos de autor 2026 Keila Kraul Flores y Karla Annett Cynthia Sáenz-López

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