AI as a differential value in business: 123compareme case study
DOI:
https://doi.org/10.31637/epsir-2024-842Keywords:
Artificial intelligence, generative artificial intelligence, conversational artificial intelligence, Marketing, innovation, technology, software, hospitalityAbstract
Introduction: The past decade has witnessed the emergence of a new business paradigm based on data and technology, in which artificial intelligence (AI) has become a valuable ally of organisations. Objetive: One of the disciplines that has most frequently employed AI is marketing. This research article analyses the application of generative AI and conversational AI systems as key tools in the value creation of a company, significantly improving its competitive position through the design of innovative products and services. Methodology: In order to achieve the desired outcomes, the success case methodology is employed. This methodology entails identifying the factors that contributed to the success of the case, determining the effective strategies used, and studying and understanding the circumstances that led to success in a given context. Results: The findings of the research substantiate the assertion that artificial intelligence is a generator of business value. Discusión: In a market characterised by fragmentation, enhancing an organisation's competitive positioning is crucial for its continued existence. The incorporation of AI systems into its products is emerging as a key differentiating factor in the definition of its offering. Conclusions: The findings support the assertion that organisations that adopt this new technological paradigm will achieve superior outcomes due to their ability to adapt to a dynamic and technologically sophisticated environment.
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Adamopoulou, E. y Moussiades, L. (2020). An Overview of Chatbot Technology. In: Maglogiannis, I., Iliadis, L., Pimenidis, E. (eds) Artificial Intelligence Applications and Innovations. AIAI 2020. IFIP Advances in Information and Communication Technology, 584. Springer, Cham. https://doi.org/10.1007/978-3-030-49186-4_31
Bhargava, C. y Sharma, P. K. (Eds.). (2021). Artificial Intelligence: Fundamentals and Applications (1st ed.). CRC Press. https://doi.org/10.1201/9781003095910
Boden, M. (2018). Artificial intelligence: a very short introduction. Oxford University Press.
Braun, V. y Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77-101.
Brown, T. (2020). Change by design: How design thinking creates new alternatives for business and soviet. Harper Business.
Buhalis, D. y Amaranggana, A. (2022). Smart tourism destinations: Enhancing tourism experience through personalisation of services. Journal of Destination Marketing & Management, 22. https://doi.org/10.1007/978-3-319-14343-9_28
Buhalis, D. y Law, R. (2008). Progress in information technology and tourism management: 20 years onand 10 years after the Internet- The state of eTourism research. Tourism Management, 29(4), 609-623. https://doi.org/10.1016/j.tourman.2008.01.005
Chen, C. y Xie, K.L. (2022). The Billboard Effect: An Analysis of the Influence of Online Reviews on Hotel Performance. Journal of Hospitality and Tourism Management, 49, 56-65. https://doi.org/10.1016/j.jhtm.2022.06.004
Chui, M., Manyika, J. y Miremadi, M. (2018). What's now and next in analytics, AI, and automation. McKinsey Global Institute.
Cuervo Sánchez, A. C. (2021). Efectos de la inteligencia artificial en las estrategias de marketing: Revisión de literatura. Revista Internacional de Investigación en Comunicación, (24), 26-41. https://doi.org/10.7263/adresic-024-02
David, D. H. (2015). Why are there still so many jobs? The history and future of workplace automation. Journal of Economic Perspectives, 29(3), 3-30. https://doi.org/10.1257/jep.29.3.3
Devang, V., Chintan, S., Gunjan, T. y Krupa, R. (2019). Applications of artificial intelligence in marketing. Annals of the University Dunarea de Jos of Galati: Fascicle: XVII, Medicine, 25(1), 28–36. https://doi.org/10.35219/eai158404094
Flyvbjerg, B. (2006). Five Misunderstandings About Case-Study Research. Qualitative Inquiry, 12(2), 219-245. https://doi.org/10.1177/1077800405284363
Franganillo, J. (2023). La inteligencia artificial generativa y su impacto en la creación de contenidos mediáticos. methaodos. Revista De Ciencias Sociales, 11(2). https://doi.org/10.17502/mrcs.v11i2.710
García, J. L. (2020). Inteligencia artificial en las organizaciones. http://hdl.handle.net/10654/36011
GfK (2023). El número de usuarios de ChatGPT en España se ha triplicado en tan solo un año. https://www.gfk.com/es/prensa/evolucion-chatgpt-gfkdam
IBM (2024). ¿Qué es un chatbot? https://www.ibm.com/es-es/topics/chatbots
Kaplan, A. y Haenlein, M. (2019). Siri, Siri, in my Hand: Who's the Fairest in the Land? On the Interpretations, Illustrations, and Implications of Artificial Intelligence. Business Horizons, 62(1), 15-25. https://doi.org/10.1016/j.bushor.2018.08.004
Khanna A., Pandey B., Vashishta K., Kalia K., Bhale P. y Das T. (2015). A study of today’s A.I. through chatbots and rediscovery of machine intelligence. International Journal of U- and e-Service, Science and Technology, 8, 277-284. https://doi.org/10.14257/ijunesst.2015.8.7.28
Kim, J., Lee, K. y Jung, H. (2021). The effect of OTA commission fees on hotel pricing and performance: Evidence from South Korea. Tourism Management, 82.
Kumar, V. y Kumara, A. (2019). Leveraging AI for designing and manufacturing products. International Journal of Production Research, 57(15-16), 4974-4989.
Liang, S., Choi, H. C. y Joppe, M. (2018). Understanding travel constraints: An application to travel intentions among youth travellers. Journal of Travel & Tourism Marketing, 35(7), 869-882. https://doi.org/10.1080/10548408.2016.1224750
Majó, J., Vall-Llosera, L. y Moya, D. (2020). Analysis of the ota’s impact in hotel reservations: Case study: Bogotá. Turismo y Sociedad, xxvii, 145-159. https://doi.org/10.18601/01207555.n27.08
Martínez-Garduño, K., Martines-Arano, H., y Ojeda-Misses, M. A. (2024). La tecnología como un nuevo escenario en el desarrollo sustentable. Pädi Boletín Científico de Ciencias Básicas e Ingenierías del ICBI, 12(Especial), 9-20. https://doi.org/10.29057/icbi.v12iEspecial.12136
McAfee, A. y Brynjolfsson, E. (2017). Machine, Platform, Crowd: Harnessing Our Digital Future. W.W. Norton & Company.
McCarthy, J. (2004). What is artificial intelligence? Retrieved December 3. https://cse.unl.edu/~choueiry/S09-476-876/Documents/whatisai.pdf
Moreno-Izquierdo, L., Más-Ferrando, A., Suárez-Tostado, M. y Ramón-Rodríguez, A. N. A. B. (2022). Reinvención del turismo en clave de inteligencia artificial. FEDEA, Apuntes FEDEA, 19, 1-17.
Parlamento Europeo (2020): ¿Qué es la Inteligencia Atificial y cómo se usa? https://acortar.link/9D1AgS
Rouhiainen, L. (2021). Inteligencia artificial para los negocios. Ediciones Anaya Multimedia.
Phocuswright (2024). 123compare.me – EMEA Travel Innovation Award winner at Phocuswright Europe 2024. https://acortar.link/MtWOay
Salazar-García, I. (2020). Inteligencia artificial la gran aliada del ‘marketing’ y la personalización. Harvard Deusto Márketing y Ventas, 42-49. https://bit.ly/42zLDGe
Sánchez-Lozano, G., Nobre Pereira, L. y Chávez-Miranda, E. (2020). Estudio de la oferta de precios hoteleros anticipada a través de un importante canal de distribución online. Cuadernos de Turismo, 46, 145-162. https://doi.org/10.6018/turismo.451671
Silver, D., Huang, A., Maddison, C. J., Guez, A., Sifre, L., Van Den Driessche, G. y Hassabis, D. (2016). Mastering the game of Go with deep neural networks and tree search. Nature, 529(7587), 484-489. https://doi.org/10.1038/nature16961
Smith, A. (2019). Personalizing products with AI: How big data is changing the way we shop. Journal of Marketing Research, 56(3), 310-324.
Stake, R. E. (2005). Qualitative Case Studies. En N. K. Denzin y Y. S. Lincoln (Eds.), The SAGE Handbook of Qualitative Research (pp. 443-466). SAGE Publications. https://doi.org/10.1177/14687941090090030803
Standing, C., Tang-Taye, J. P. y Boyer, M. (2014). The Impact of the Internet in Travel and Tourism: A Research Review 2001–2010. Journal of Travel & Tourism Marketing, 31(1), 82-113. https://doi.org/10.1080/10548408.2014.861724
Sainz de Vicuña, J. M. (2021). El plan de marketing digital en la práctica. ESIC Editorial.
Talaya, Á. E. y Jiménez, J. A. (2013). Fundamentos de Marketing. ESIC Editorial.
Thomas, G. (2011). A Typology for the Case Study in Social Science Following a Review of Definition, Discourse, and Structure. Qualitative Inquiry, 17(6), 511-521. https://doi.org/10.1177/1077800411409884
VV.AA (2024). ¿Qué es la IA Generativa? Amazon. https://acortar.link/yEDv5C
Vallespín, M. y Molinillo, S. (2014). El futuro de la intermediación en el sector turístico. Revista de Análisis Turístico, 1º semestre 2014, 13-25.
Wamba-Taguimdje, S. L., Fosso Wamba, S., Kala Kamdjoug, J. R. y Tchatchouang Wanko, C. E. (2020). Influence of artificial intelligence (AI) on firm performance: the business value of AI-based transformation projects. Business Process Management Journal, 26(7), 1893–1924 https://doi.org/10.1108/BPMJ-10-2019-0411
Xiang, Z., Magnini, V. P. y Fesenmaier, D. R. (2015). Information technology and consumer behavior in travel and tourism: Insights from travel planning using the internet. Journal of Retailing and Consumer Services, 22, 244-249. https://doi.org/10.1016/j.jretconser.2014.08.005
Yin, R. K. (2018). Case Study Research and Applications: Design and Methods (6th ed.). SAGE Publications.
Zhang, Y., Li, X. y Liu, C. (2020). The impact of online travel agencies on hotel distribution channels: An empirical study from China. International Journal of Hospitality Management, 87. https://doi.org/10.1371/journal.pone.0231438
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Copyright (c) 2024 María Luisa Fanjul Fernández (Autor de Correspondencia); Francisco José Pradana Pérez, Alejandro Barceló Hernando, Pau Ferret Alcaraz
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