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O impacto da inteligência artificial na decisão do investidor: uma revisão sistemática
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Abstract(s)
Este estudo investiga o impacto da inteligência artificial (IA) na tomada de decisão dos investidores financeiros, destacando o seu papel na transformação dos processos de avaliação de investimentos. A IA tem transformado o setor financeiro, com destaque para o processo de avaliação de investimentos. Este trabalho explora a aplicação da IA em diferentes aspetos do processo de tomada de decisão financeira, enfatiza como a análise preditiva, a personalização das estratégias e a gestão de risco são otimizadas através de sistemas inteligentes.
Realizou-se uma pesquisa de natureza exploratória e descritiva, com uma abordagem qualitativa sustentada por uma análise quantitativa de dados bibliométricos através de uma Revisão Sistemática da Literatura. Foi realizada uma análise bibliométrica utilizando as bases de dados Web of Science e Scopus, com o auxílio do software VOSviewer.
A pesquisa foca na verificação do papel da IA no processo de avaliação de investimentos, bem como na análise dos benefícios, desafios e oportunidades que a sua integração pode oferecer. Além de explorar a eficiência e precisão da IA, o estudo aborda como a tecnologia influencia comportamentos críticos na tomada de decisão, incluindo atitudes face ao risco e aversão à ambiguidade. Os resultados revelam que, apesar dos benefícios significativos na IA, existem desafios relacionados à complexidade tecnológica e à qualidade dos dados que precisam ser abordados para garantir a confiança dos investidores.
Por fim, conclui-se que a IA não só melhora a eficiência e precisão das avaliações, mas também amplia o acesso a ferramentas avançadas, ressaltando a importância da regulamentação e da transparência no processo de tomada de decisão financeira.
This study investigates the impact of artificial intelligence (AI) on financial investors' decision-making, highlighting its role in transforming investment evaluation processes. AI has been transforming the financial sector, especially in investment evaluation. This work explores the application of AI in different aspects of the financial decision-making process, emphasizing how predictive analysis, strategy personalization, and risk management are optimized through intelligent systems. An exploratory and descriptive research was conducted, with a qualitative approach supported by a quantitative analysis of bibliometric data through a systematic literature review. To this end, a bibliometric analysis was performed using the Web of Science and Scopus databases, with the assistance of VOSviewer software. The research focuses on verifying the role of AI in the investment evaluation process, as well as analysing the benefits, challenges, and opportunities that its integration can offer. In addition to exploring the efficiency and accuracy of AI, the study addresses how technology influences critical behaviours in decision-making, including attitudes towards risk and ambiguity aversion. The results reveal that, despite the significant benefits of AI, challenges related to technological complexity and data quality need to be addressed to ensure investor confidence. Finally, it is concluded that AI not only improves the efficiency and accuracy of evaluations but also expands access to advanced tools, highlighting the importance of regulation and transparency in the financial decision-making process.
This study investigates the impact of artificial intelligence (AI) on financial investors' decision-making, highlighting its role in transforming investment evaluation processes. AI has been transforming the financial sector, especially in investment evaluation. This work explores the application of AI in different aspects of the financial decision-making process, emphasizing how predictive analysis, strategy personalization, and risk management are optimized through intelligent systems. An exploratory and descriptive research was conducted, with a qualitative approach supported by a quantitative analysis of bibliometric data through a systematic literature review. To this end, a bibliometric analysis was performed using the Web of Science and Scopus databases, with the assistance of VOSviewer software. The research focuses on verifying the role of AI in the investment evaluation process, as well as analysing the benefits, challenges, and opportunities that its integration can offer. In addition to exploring the efficiency and accuracy of AI, the study addresses how technology influences critical behaviours in decision-making, including attitudes towards risk and ambiguity aversion. The results reveal that, despite the significant benefits of AI, challenges related to technological complexity and data quality need to be addressed to ensure investor confidence. Finally, it is concluded that AI not only improves the efficiency and accuracy of evaluations but also expands access to advanced tools, highlighting the importance of regulation and transparency in the financial decision-making process.
Description
Keywords
Inteligência artificial (ia) Tomada de decisão financeira Revisão sistemática da literatura Comportamento do investidor