LA INTELIGENCIA ARTIFICIAL (IA) Y SU APORTE A LA MERCADOTECNIA; PRIMEROS HALLAZGOS
DOI:
https://doi.org/10.22370/riace.2023.12.1.3823Keywords:
marketing, Consumer behavior, Artificial intelligenceAbstract
Propose of the study is to find the areas of interest that are currently working in conjunction with artificial intelligence and marketing. The applied method was technical bibliometric analysis belonging to scientometrics that gives the opportunity to analyze the scientific activity in a certain time in different search engines, the information was collected and analyzed in the Vosviewer software. Results The databases implemented were Scopus, Web of Science and Dimensions, finding 2,438 documents that met the refinement criteria established in the methodology. The documents are classified into 1,263 articles, 132 book chapters, 62 books, 157 conference proceedings, 94 literature reviews, and 9 editorials, with the most cited document being “How artificial intelligence will change the future of marketing” with 1,581. Limitations The documents analyzed are only from the areas of administration and business. Findings; In its early days, AI was considered cold, untrustworthy and insensitive by users, but Covid-19 increased its acceptance. AI has managed to replicate some human actions, feeding on users based on teaching, AI creates its intelligence from information provided by users and consumers of products and services that use AI to meet consumer demand, it can also help in operational activities in companies, even with very high risk, in addition, it will make new professions emerge that have not yet been discovered but that, over time, will emerge to supply many job applications with AI.
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References
Abrokwah-Larbi, K., & Awuku-Larbi, Y. (2023). The impact of artificial intelligence in marketing on the performance of business organizations: evidence from SMEs in an emerging economy. Journal of Entrepreneurship in Emerging Economies.
Ameen, N., Sharma, G., Tarba, S., Rao, A., & Chopra, R. (2022). Toward advancing theory on creativity in marketing and artificial intelligence. Psychology & Marketing, 1802-1825.
Belanche, D., Casaló, L., Flavián, C., & Schepers, J. (2020). Service robot implementation: a theoretical framework and research agenda. Service Industries Journal, 203-225.
Buhalis, D., & Sinarta, Y. (2019). Real-time co-creation and nowness service: lessons from tourism and hospitality. Journal of Travel and Tourism Marketing, 563-582.
Butt, A., Ahmad, H., Muzaffar, A., Ali, F., & Shafique, N. (2021). WOW, the make-up AR app is impressive: a comparative study between China and South Korea. Journal of Services Marketing, 73-88.
Campbell, C., Sands, S., Ferraro, C., Tsao, H. -Y., & Mavrommatis, A. (2020). From data to action: How marketers can leverage AI. Business Horizons, 227-243.
Chen, Y. (2023). Comparing content marketing strategies of digital brands using machine learning. Humanities and Social Sciences Communications.
Chintalapati, S., & Pandey, S. (2022). Artificial intelligence in marketing: A systematic literature review. International Journal of Market Research, 38-68.
Coves-Martinez, A., Sabiote-Ortiz, C., & Frias-Jamilena, D. (2023). How to improve travel-app use continuance: The moderating role of culture. Tourism Management Perspectives.
Davazdahemami, B., Kalgotra, P., Zolbanin, H., & Delen, D. (2023). A developer-oriented recommender model for the app store: A predictive network analytics approach. Journal of Business Research.
Davenport, T., Guha, A., Grewal, D., & Bressgott, T. (2020). How artificial intelligence will change the future of marketing. Journal of the Academy of Marketing Science, 24-42.
de Kervenoael, R., Hasan, R., Schwob, A., & Goh, E. (2020). Leveraging human-robot interaction in hospitality services: Incorporating the role of perceived value, empathy, and information sharing into visitors’ intentions to use social robots. Tourism Management.
Dominique-Ferreira, S., Braga, R., & Rodrigues, B. (2022). Role and effect of traditional markets: The internationally awarded case of Barcelos. Journal of Global Scholars of Marketing Science, 470-492.
Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. (2021). A Bibliometric Analysis of Artificial Intelligence Technique in Financial Market, 285-296.
Dwivedi, Y., Ismagilova, E., Hughes, D., Carlson, J., Filieri, R., Jacobson, J., & Rahman, M. (2021). Setting the future of digital and social media marketing research: Perspectives and research propositions. International Journal of Information Management.
Dwivedi, Y., Ismagilova, E., Hughes, D., Carlson, J., Filieri, R., Jacobson, J., & Wang, Y. (2021). Setting the future of digital and social media marketing research: Perspectives and research propositions. International Journal of Information Management.
Fayed, A. (2021). ARTIFICIAL INTELLIGENCE FOR MARKETING PLAN: THE CASE FOR E-MARKETING COMPANIES. Marketing and Management of Innovations, 81-95.
Franco, R., Charles, H., & Gregorio, G.- A. (2011). ESTUDIOS BIBLIOMÉTRICOS COMO LÍNEA DE INVESTIGACIÓN EN LAS CIENCIAS BIOMÉDICAS: UNA APROXIMACIÓN PARA EL PREGRADO. CIMEL Ciencia e Investigación Médica Estudiantil Latinoamericana, 52-62.
Hoyer, W., Kroschke, M., Schmitt, B., Kraume, K., & Shankar, V. (2020). Transforming the Customer Experience Through New Technologies. Journal of Interactive Marketing, 57-71.
Janiesch, C., Zschech, P., & Heinrich, K. (2021). Machine learning and deep learning. Electronic Markets, 685-695.
Jarek, K., & Mazurek, G. (2019). MARKETING AND ARTIFICIAL INTELLIGENCE. Central European Business Review, 46-55.
Kim, S., Kim, J., Badu-Baiden, F., Giroux, M., & Choi, Y. (2021). Preference for robot service or human service in hotels? Impacts of the COVID-19 pandemic. International Journal of Hospitality Management.
Kumar, V., Rajan, B., Venkatesan, R., & Lecinski, J. (2019). Understanding the role of artificial intelligence in personalized engagement marketing. California Management Review, 135-155.
Kushwaha, A., Kar, A., & Dwivedi, Y. (2021). Applications of big data in emerging management disciplines: A literature review using text mining. International Journal of Information Management Data Insights.
Lara-Felix, J., & Cervantes-Aldana, J. (2023). LAS REPERCUSIONES DEL COVID-19 EN LA COMUNICACIÓN Y EL COMPORTAMIENTO DEL CONSUMIDOR: UN ESTUDIO LONGITUDINAL DE LA GENERACIÓN Z. Revista de Investigaciones Universidad del Quindío.
Lee, J. -C., & Chen, X. (2022). Exploring users’ adoption intentions in the evolution of artificial intelligence mobile banking applications: the intelligent and anthropomorphic perspectives. International Journal of Bank Marketing, 631-658.
Leone, D., Schiavone, F., Appio, F., & Chiao, B. (2021). How does artificial intelligence enable and enhance value cocreation in industrial markets? An exploratory case study in the healthcare ecosystem. Journal of Business Research, 849-859.
Lin, H., Chi, O., & Gursoy, D. (2019). Antecedents of customers’ acceptance of artificially intelligent robotic device use in hospitality services. Journal of Hospitality Marketing & Management, 530-549.
Liu-Thompkins, Y., Okazaki, S., & Li, H. (2022). Artificial empathy in marketing interactions: Bridging the human-AI gap in affective and social customer experience. Journal of the Academy of Marketing Science, 1198-1218.
Luo, X., Tong, S., Fang, Z., & Qu, Z. (2019). Frontiers: Machines vs. Humans: The Impact of Artificial Intelligence Chatbot Disclosure on Customer Purchases. Marketing Science, 937-947.
Ma, L., & Sun, B. (2020). Machine learning and AI in marketing – Connecting computing power to human insights. International Journal of Research in Marketing, 481-504.
McCulloch, W., & Pitts, W. (1943). A logical calculus of the ideas immanent in nervous activity. The Bulletin of Mathematical Biophysics, 115-133.
Mikalef, P., Islam, N., Parida, V., Singh, H., & Altwaijry, N. (2023). Artificial intelligence (AI) competencies for organizational performance: A B2B marketing capabilities perspective. Journal of Business Research.
Mustak, M., Salminen, J., Ple, L., & Wirtz, J. (2021). Artificial intelligence in marketing: Topic modeling, scientometric analysis, and research agenda. Journal of Business Research, 389-404.
Narang, U., Shankar, V., Rindfleisch, A., & Malter, A. (2019). MOBILE MARKETING 2.0: STATE OF THE ART AND RESEARCH AGENDA. Marketing in a Digital World, 97-119.
Paschen, J., Kietzmann, J., & Kietzmann, T. (2019). Artificial intelligence (AI) and its implications for market knowledge in B2B marketing. Journal of Business & Industrial Marketing, 1410-1419.
Pitt, C., Paschen, J., Kietzmann, J., Pitt, L., & Pala, E. (2021). Artificial Intelligence, Marketing, and the History of Technology: Kranzberg’s Laws as a Conceptual Lens. Australasian Marketing Journal, 81-89.
Popkova, E., & Sergi, B. (2020). Human capital and AI in industry 4.0. Convergence and divergence in social entrepreneurship in Russia. Journal of Intellectual Capital, 565-581.
Prikshat, V., Islam, M., Patel, P., Malik, A., Budhwar, P., & Gupta, S. (2023). AI-Augmented HRM: Literature review and a proposed multilevel framework for future research. Technological Forecasting and Social Change.
Real Academica Española. (2022). Real Academica Española. https://dle.rae.es/contenido/actualizaci%C3%B3n-2022
Rust, R. (2020). The future of marketing. International Journal of Research in Marketing, 15-26.
Sobocinska, M. (2021). Artificial Intelligence and Human Talent in Decision Making in the Sphere of Marketing in an Enterprise. Problemy Zarzadzania-Management Issues, 65-75.
Sohrabpour, V., Oghazi, P., Toorajipour, R., & Nazarpour, A. (2021). Export sales forecasting using artificial intelligence. Technological Forecasting and Social Change.
Steinhoff, L., Arli, D., Weaven, S., & Kozlenkova, I. (2019). Online relationship marketing. Journal of the Academy of Marketing Science, 369-393.
Vaid, S., Puntoni, S., & Khodr, A. (2023). Artificial intelligence and empirical consumer research: A topic modeling analysis. Journal of Business Research.
van Doorn, J., Smailhodzic, E., Puntoni, S., Li, J., Schumann, J., & Holthöwer, J. (2023). Organizational frontlines in the digital age: The Consumer–Autonomous Technology–Worker (CAW) framework. Journal of Business Research.
van Esch, P., & Black, J. (2021). Artificial Intelligence (AI): Revolutionizing Digital Marketing. Australasian Marketing Journal, 199-203.
Verma, R., S. Sharma, Deb, S., & Maitra, D. (2021). Artificial intelligence in marketing: Systematic review and future research direction. International Journal of Information Management Data Insights.
Wamba-Taguimdje, S.- L., Fosso Wamba, S., Kala Kamdjoug, J., & Tchatchouang Wanko, C. (2020). Influence of artificial intelligence (AI) on firm performance: the business value of AI-based transformation projects. Business Process Management Journal, 1893-1924.
Wang, Z., Yuan, R., Luo, J., Liu, M., & Yannopoulou, N. (2023). Does personalized advertising have their best interests at heart? A quantitative study of narcissists’ SNS use among Generation Z consumers. Journal of Business Research.
Yang, X., Li, H., Ni, L., & Li, T. (2021). Application of Artificial Intelligence in Precision Marketing. Journal of Organizational and End User Computing, 209-219.
Youn, K., & Cho, M. (2023). Business types matter: new insights into the effects of anthropomorphic cues in AI chatbots. Journal of Services Marketing.
Zhu, Y., Zhang, R., Zou, Y., & Jin, D. (2013). Investigating customers’ responses to artificial intelligence chatbots in online travel agencies: the moderating role of product familiarity. Journal of Hospitality and Tourism Technology, 208-224.
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