The use of AI in the advertising industry in Spain interest, awareness, and use
Main Article Content
Abstract
Although they have only recently burst into society, artificial intelligence (AI) tools have permeated all areas of knowledge and society, including the advertising communication sector. These tools have already been adopted by the various players in the industry and their proliferation continues apace. New applications in advertising are combining or evolving to address tasks related to content generation, data analysis, personalization, automation, chatbots and virtual assistants or image and voice recognition. To be competitive, advertising agencies cannot turn their backs on these innovations, so the mastery of these tools by their employees seems inevitable today. The objective of this research is to survey advertising industry professionals (n=373) regarding their knowledge, interest and use of these tools. The results show that, although interest is high, the level of knowledge is intermediate, which translates into a limited use and an underutilization of their full potential. It is therefore essential that professionals in this field acquire the necessary skills to use all the features offered by these tools effectively in order to get the most out of them. To achieve this, it is also necessary for companies to invest in the training of their employees
Downloads
Article Details
Section

This work is licensed under a Creative Commons Attribution 4.0 International License.
How to Cite
References
Alaminos, Antonio (1993). Teoría y práctica de la encuesta. Aplicaciones a los países en vías de desarrollo. Cedeal, OBTS, Universidad de Alicante.
Andrada, Pablo (2023). Entrevista a Carlos Scolari: “El Chat GPT es un animal que debemos domesticar”. Comunicación y Medios, 47, 126-132. https://lc.cx/XQ_gix
Bobenrieth Astete, Manuel (ed.) (2012). Cómo investigar con éxito en ciencias de la salud (Parte II). El proceso. Serie Monografías EASP, 50. EASP. https://lc.cx/2nmbSu
Bologna, Eduardo (2018). Métodos estadísticos de investigación. Ed. Brujas.
Conoscenti, Marco; Vetro, Antonio & De Martin, Juan Carlos (2016). Blockchain for the internet of things: A systematic literature review. 2016 IEEE/ACS 13th International Conference of Computer Systems and Applications (AICCSA). https://doi.org/10.1109/AICCSA.2016.7945805
Cuervo-Sánchez, Carlos Antonio (2021). Efectos de la IA en las estrategias de marketing: Revisión de literatura. aDResearch: Revista Internacional de Investigación en Comunicación, 24(24), 26-41. https://doi.org/10.7263/adresic-024-02
Deng, Sasha; Tan, Chee Wee; Wang, Weijun & Pan, Yu (2019). Smart generation system of personalized advertising copy and its application to advertising practice and research. Journal of Advertising, 48(4), 356–365. https://doi.org/10.1080/00913367.2019.1652121
Dholakia, Nickhilesh & Firat, Fuat. (2019). Markets, consumers and society in the age of heteromation. European Journal of Marketing, 53(8), 1504-1520. https://doi.org/10.1108/EJM-11-2017-0916
Fernández Rincón, Antonio Raul (2023): El creativo invisible: inteligencia artificial y creación publicitaria. Miguel Hernández Communication Journal, 14(2), 391-408. https://doi.org/10.21134/mhjournal.v14i.1983
Gao, Biao; Wang, Yiming; Xie, Huiqin; Hu, Yi & Hu, Yi (2023). Artificial Intelligence in Advertising: Advancements, Challenges and Ethical Considerations in Targeting, Personalization, Content Creation, and Ad Optimization. SAGE Open. 13(4). https://doi.org/10.1177/21582440231210759
Geru, Marius; Micu, Angela Eliza; Capatina, Alex & Micu, Adrian (2018). Using Artificial Intelligence on Social Media’s User Generated Content for Disruptive Marketing Strategies in eCommerce. Economics and Applied Informatics. XXIII (3). https://doi.org/10.26397/eai1584040911
Grandinetti, Roberto (2020). How artificial intelligence can change the core of marketing theory. Innovative marketing, 2(16), 91-103. https://doi.org/10.21511/im.16(2).2020.08
Haenlein, Michael & Kaplan, Andreas (2019). A Brief History of Artificial Intelligence: On the Past, Present, and Future of Artificial Intelligence. California Management Review, 61(4). https://doi.org/10.1177/0008125619864925
Haleem, Abid; Javaid, Mohd; Qadri, Mohd Asim; Singh, Ravi Pratap & Suman, Rajiv (2022). Artificial intelligence (AI) applications for marketing: A literature-based study. International Journal of Intelligent Networks, 3, 119-132, https://doi.org/10.1016/j.ijin.2022.08.005
Haque, M. Asraful & Li, Shuai (2024). Exploring Chat GPT and its impact on society. AI Ethics. https://doi.org/10.1007/s43681-024-00435-4
Heinis, Tom B.; Hilario, Jan & Meboldt, Mirko (2018). Empirical study on innovation motivators and inhibitors of Internet of Things applications for industrial manufacturing enterpri-ses. Journal of Innovation and Entrepreneurship, 7(10). https://doi.org/10.1186/s13731-018-0090-7
Kaczorowska-Spychalska, Dominika (2019). How chatbots influence marketing. Management, 23(1), 251-270. https://doi.org/10.2478/manment-2019-0015
Merali, Shabbir & Merali, Ali (2023). The Generative AI Revolution Opportunities, Shocks, and Risks. Adam Hawksbee. https://lc.cx/p7X7Kp
Nystrom, Christine L. (1974). Toward a science of media ecology: The formulation of integrated conceptual paradigms for the study of human communication systems. [Tesis de doctorado no publicada]. New York University.
Orús, Abigail (2023). Número de trabajadores dentro del sector del marketing en España entre 2011 y 2022. Statista. https://lc.cx/FjAG81
Overgoor, Gijs; Chica, Manuel; Rand, William & Weishampel, Anthony (2019). Letting the computers take over: Using AI to solve marketing problems. California Management Review, 4(61), 156-185. https://doi.org/10.1177/0008125619859318
Paschen, Jeannete; Kietzmann, Jan & Kietzmann, Tim Christian (2019). Artificial intelligence (AI) and its implications for market knowledge in B2B marketing. Journal of Business & Industrial Marketing, 34(7), 1410-1419.
https://doi.org/10.1108/JBIM-10-2018-0295
Postman, Neil (1970). The reformed English curriculum. En Eurich, A.C. (ed). High school 1980: The shape of the future in American secondary education (pp.160-168). New York: Pitman.
Reshetkova, Atanaska (2023). Artificial Intelligence in Advertising and the Consumer Journey to Purchase. Journal of the Union of Scientists. Economic sciences series, 11(3). https://lc.cx/wb5Tct
Rodríguez-Rabadán, María; Galán-Fajardo, Helena & Del-Pino-Romero, Cristina (2022). Mediterráneamente. Estudio de eficacia cuantitativa en las películas publicitarias de Estrella Damm. Revista Mediterránea De Comunicación, 13(1), 165-184. https://doi.org/10.14198/MEDCOM.20590
Rust, Roland T. (2020). The future of marketing. International Journal of Research in Marketing. 37 (1),15-26. https://doi.org/10.1016/j.ijresmar.2019.08.002
Scolari, Carlos Alberto (Ed.) (2015). Ecología de los medios. Entornos, evoluciones e interpretaciones. Ed. Gedisa
Shah Neil; Bhagat, Nandish; Chauhan, Hirwa & Sha, Manan (2020). Research Trends on the Usage of Machine Learning and Artificial Intelligence in Advertising. Augmented Human Research, 5(19). https://doi.org/10.1007/s41133-020-00038-8
Stone, Merli; Aravopoulou, Eleni; Ekinci, Yuksel; Evans, Gerain; Hobbs, Matt; Labib, Ashraf; Laughlin, Paul; Machtynger, Jon & Machtynger, Liz (2020). Artificial intelligence (AI) in strategic marketing decision-making: a research agenda. The Bottom Line, 2(33), 183-200. https://doi.org/10.1108/BL-03-2020-0022
Walsh, Toby (2017). The AI Revolution. Education: Future Frontiers | Occasional Paper Series. https://lc.cx/tb_sYv
Wilson, R. Dale & Bettis-Outland, Harriette (2020). Can artificial neu-ral network models be used to improve the analysis of B2B marketing research data? Journal of Business & Industrial Marketing, 35(3), 495–507.https://doi.org/10.1108/JBIM-01-2019-006
Yeğin, Tuğba (2020). The place and future of artificial intelligence in marketing strategies. Ekev AkadDemi ergisi, 0(81),
-506. https://doi.org/10.17753/Ekev1340
Zhang, Xianyu; Ming, Xinguo; Liu, Zhiwn; Yin, Dao; Chen, Zhihua & Chang, Yuan (2019). A reference framework and overall planning of industrial artificial intelligence (I-AI) for new application scenarios. International Journal of Advanced Manufacturing Technology, 101(9–12), 2367-2389. https://doi.org/10.1007/s00170-018-3106-3
