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AI-Powered Innovation: Revolutionizing the Cosmetics Industry for Personalized Experiences and Sustainable Growth

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dc.contributor.advisorMousa, Saaed
dc.creatorMora Ocampo, María Gabriela
dc.creator.degreeAdministrador de Negocios Internacionalesspa
dc.creator.degreeAdministrador de Negocios Internacionales
dc.creator.degreeLevelPregrado
dc.date.accessioned2025-06-10T12:20:57Z
dc.date.available2025-06-10T12:20:57Z
dc.date.created2024-12-16
dc.descriptionEste estudio pretende comprender el papel transformador de la inteligencia artificial en la tecnología de la belleza, centrándose en cómo la IA y las experiencias personalizadas están revolucionando la industria, impulsando la eficiencia operativa y el crecimiento sostenible. En los últimos años, ha habido un creciente interés en el crecimiento de la tecnología de la belleza, los consumidores están adoptando comportamientos más sostenibles Todas las ideas recogidas de los profesionales de la industria son cruciales para dar respuestas a la pregunta principal y dar una perspectiva de lo que la industria de la belleza debe esperar en los próximos años.
dc.description.abstractThis study wants to understand the transformative role of artificial intelligence in the beauty tech, focusing on how AI and Personalized experiences are revolutionizing the industry, driving operational efficiency and sustainable growth. In recent years, there has been a growing interest in growth in the beauty tech, consumers are adopting more sustainable behaviors All the insights gather from industry professionals are crucial to giving answers to the main question and give a perspective of what the beauty industry should expect in the next years.
dc.format.extent85 pp
dc.format.mimetypeapplication/pdf
dc.identifier.doihttps://doi.org/10.48713/10336_45627
dc.identifier.urihttps://repository.urosario.edu.co/handle/10336/45627
dc.language.isospa
dc.publisherUniversidad del Rosario
dc.publisher.departmentEscuela de Administración
dc.publisher.programAdministración de Negocios Internacionales
dc.rightsAttribution-ShareAlike 4.0 International*
dc.rights.accesRightsinfo:eu-repo/semantics/openAccess
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dc.source.bibliographicCitationAttila, E., Yuling, W., Tamas, G., Jhanghiz, S. (2022). The E-WOM intention of artificial intelligence (AI) color cosmetics among Chinese social media influencers. Recovered the 22 of may 2022, from Emerald website: https://www.emerald.com/insight/content/doi/10.1108/APJML-04-2022-0352/full/html
dc.source.bibliographicCitationBäckerås, J. (2019). What do skin care consumers think about personalization of content, user interface or a combination of both?. Recovered the 04 of November of 2019, from University of Gothenburg website: https://gupea.ub.gu.se/handle/2077/62614
dc.source.bibliographicCitationBabatunde, A. O., Adedoyin, F. F., & Olubunmi, A. O. (2024). Journal of Technology and Customer Interaction. Recovered the 14 of march of 2024, from Artificial intelligence and the future of customer engagement in the cosmetic industry 45-62 website: https://fepbl.com/index.php/ijmer/article/view/964
dc.source.bibliographicCitationBorunda, A. (2019). The beauty industry generates a lot of plastic waste. Can it change?. Recovered the 28 of January of 2019, from National geographic Environment website: https://www.nationalgeographic.com/environment/2019/04/beauty-personal-care-industry-plastic/
dc.source.bibliographicCitationErnest, M. (2022). Gucci partners with roblox to launch ‘guccitown’ metaverse world. Recovered the 20 of June of 2022, from Inputmag website: www.inputmag.com/style/gucci-roblox-metaverse-world-gucci-town
dc.source.bibliographicCitationGanga, B.M., Meghana, K.S., Shivani, S.R., Spandana, M.K., & Vinutha, V. (2022). ACS Journal for Science and Engineering. Recovered the 03 of September of 2022, Sentimental analysis on cosmetics using machine learning website: https://scholar.google.com/scholar?hl=es&as_sdt=0%2C5&q=Sentimental+analysis+on+cosmetics+using+machine+learning&btnG=
dc.source.bibliographicCitationHapticmedia. (2021). Virtual try-on: the next big thing in luxury business. Recovered the 27 of May of 2021, Hapticmedia website: https://hapticmedia.com/blog/virtual-try-on/
dc.source.bibliographicCitationJoy, A., Zhu, Y., Peña, C., & Brouard, M. (2022). Digital future of luxury brands: Metaverse, digital fashion, and non‐fungible tokens. Recovered the 07 of April of 2022, from Strategic Change website: https://doi.org/10.1002/jsc.2502
dc.source.bibliographicCitationJiao, Y., Liu, P., & Chen, C. (2022). Current and prospective applications of 3D printing in cosmetics. Recovered the 13 of January of 2022, from Magazine Cosmetics website: https://www.mdpi.com/2079-9284/9/6/115
dc.source.bibliographicCitationKestenbaum, R. (2019). The future of retail in the beauty industry will be very different. Recovered the 29 of October of 2019, from Forbes website : https://www.forbes.com/sites/richardkestenbaum/2019/09/04/the-future-of-retail-in-the-beauty-industry-will-be-very-different/#4b1f35c76c4f
dc.source.bibliographicCitationL’Oréal | Annual Report – Social & environmental performance. (2024). L’Oréal Finance website: https://www.loreal-finance.com/en/annual-report-2023/social-environmental-performance/
dc.source.bibliographicCitationLi, B., Hou, B., Yu, W., Lu, X., & Yang, C. (2017). Applications of artificial intelligence in intelligent manufacturing. Recovered the 02 of September of 2017, from Frontiers of Information Technology & Electronic Engineering website: https://doi.org/10.1631/fitee.1601885
dc.source.bibliographicCitationMartins, M. (2019). The impact of influencers in the consumer´s purchase intention. Recovered the 20 of June of 2019, from the cosmetic industry website: https://core.ac.uk/download/pdf/542331719.pdf
dc.source.bibliographicCitationMoreira, C. (2020). How artificial intelligence impacting the beauty industry on making data- diven decisions?. Recovered the 2020, from Repositorio AbertoUP website: https://repositorio-aberto.up.pt/bitstream/10216/129490/2/423899.pdf
dc.source.bibliographicCitationMichel, W, Julie, C. (2002). Difference in purchase behavior between France and the USA: the cosmetic industry. Recovered the 22 of June of 2002, from Emerald website: https://www.emerald.com/insight/content/doi/10.1108/13612020210448673/full/html
dc.source.bibliographicCitationMetaxiotis, K., Ergazakis, K., Samouilidis, E., & Psarras, J. (2003). Decision support through knowledge management: the role of the artificial intelligence. Recovered the 12 of December of 2003, from Information Management & Computer Security, 11(5), 216–221 website: https://doi.org/10.1108/09685220310500126
dc.source.bibliographicCitationNiinimäki, K. (2017). Sustainable consumer satisfaction in the context of clothing. Recovered the 03 of June 2017, From Routledge eBooks (pp. 218–237) website: https://doi.org/10.4324/9781351278003-7
dc.source.bibliographicCitationRayome, A. D. (2018). How Sephora is leveraging AR and AI to transform retail and help customers buy cosmetics. Recovered the 17 of May of 2018, from Revista techrepublic, 30 website:https://www.techrepublic.com/article/how-sephora-is-leveraging-ar-and-ai-to-transform-retail-and-help-customers-buy-cosmetics/
dc.source.bibliographicCitationShah-Dand, M. (2021). What does AI mean for Sustainability? - DataDrivenInvestor. Recovered the 25 of September of 2021, from Medium website: https://medium.com/datadriveninvestor/what-does-ai-mean-for-sustainability-4623e53f1ce2
dc.source.bibliographicCitationSantos, S., & Gonçalves, H. M. (2021). The consumer decision journey: A literature review of the foundational models and theories and a future perspective. Recovered the 30 of July of 2021, from Technological Forecasting and Social Change, 173, 121117 website: https://doi.org/10.1016/j.techfore.2021.121117
dc.source.bibliographicCitationTilters. (2021). Personalized Customer Journeys and Technology trends. Recovered the 20 of March of 2021, from The Tilt Publishing website: http://www.econtentmag.com/Articles/Editorial/Industry-Insights/8-Technology-Trends-Enabling-the-Future-of-Personalized-Customer-Journeys-132890.htm
dc.source.bibliographicCitationWang, Y., Chuang, Y., Hsu, M., & Keh, H. (2003). A personalized recommender system for the cosmetic business. Recovered the 21 of November of 2003, from Expert Systems with Applications website:https://www.sciencedirect.com/science/article/pii/S0957417403001738
dc.source.bibliographicCitationYoon, J., & Joung, S. (2020). A big data-based cosmetic recommendation algorithm. Recovered the 19 of June 2020, from Journal of Information and Communication Convergence Engineering, 10(2), 3-12 website: https://scholar.google.com/scholar?hl=es&as_sdt=0%2C5&q=A+big+data-based+cosmetic+recommendation+algorithm&btnG=
dc.source.instnameinstname:Universidad del Rosario
dc.source.reponamereponame:Repositorio Institucional EdocUR
dc.subjectSostenibilidad
dc.subjectInteligencia Artificial
dc.subjectCosmética
dc.subjectPersonalización
dc.subjectCrecimiento
dc.subjectTecnología
dc.subjectComportamiento del consumidor
dc.subject.keywordSustainability
dc.subject.keywordArtificial Intelligence
dc.subject.keywordCosmetics
dc.subject.keywordPersonalization
dc.subject.keywordGrowth
dc.subject.keywordTechnology
dc.subject.keywordConsumer behavior
dc.titleAI-Powered Innovation: Revolutionizing the Cosmetics Industry for Personalized Experiences and Sustainable Growth
dc.title.TranslatedTitleInnovación impulsada por la IA: Revolucionando la industria cosmética para experiencias personalizadas y crecimiento sostenible
dc.typebachelorThesis
dc.type.hasVersioninfo:eu-repo/semantics/acceptedVersion
dc.type.spaTesis
local.department.reportEscuela de Administración
local.regionesBogotá
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