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Estatística
Título: THE IMPACT OF ARTIFICIAL INTELLIGENCE ON INTERNATIONAL DIGITAL COMMERCE: INSIGHTS FROM THE NIKE CASE
Autor(es): ANNA CAROLINA ROHRS GUIMARAES
Colaborador(es): CARLOS FREDERICO DE SOUZA COELHO - Orientador
Catalogação: 16/JUL/2025 Língua(s): PORTUGUESE - BRAZIL
Tipo: TEXT Subtipo: SENIOR PROJECT
Notas: [pt] Todos os dados constantes dos documentos são de inteira responsabilidade de seus autores. Os dados utilizados nas descrições dos documentos estão em conformidade com os sistemas da administração da PUC-Rio.
[en] All data contained in the documents are the sole responsibility of the authors. The data used in the descriptions of the documents are in conformity with the systems of the administration of PUC-Rio.
Referência(s): [pt] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/TFCs/consultas/conteudo.php?strSecao=resultado&nrSeq=71620@1
[en] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/TFCs/consultas/conteudo.php?strSecao=resultado&nrSeq=71620@2
DOI: https://doi.org/10.17771/PUCRio.acad.71620
Resumo:
Artificial Intelligence (AI) is an extremely relevant factor in the strategic growth of companies and therefore already plays a central role in international digital commerce. Multinational companies have entered a new era of opportunities, with predictive analytics, mass personalization, and optimization of logistical processes. Thus, this study aims to delve deeper into how technological evolution has impacted online marketing practices and how AI has redefined the relationship between companies and their audience, enabling rapid adaptation to different cultural and economic contexts around the world and achieving greater accuracy and efficiency. To this end, the research is based on a literature review that analyzes corporate behavior in the face of this technological strengthening and, through qualitative research, identifies opportunities for exponential growth, as well as management challenges, including serious ethical and data security risks for consumers, along with the challenge of training leadership teams to work effectively with AI. To deepen the practical analysis, a case study on Nike is presented, showing how the company has been impacted by these transformations and, according to projections, will have 47.70 percent of its revenue coming from digital commerce by 2030 (NIKE, 2024). It is concluded that a deeper understanding of new Artificial Intelligence technologies is essential for companies seeking internationalization, aiming to integrate their different channels and address security gaps to build brands that earn consumer trust.
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