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Authors
Advisor(s)
Abstract(s)
A pesquisa explora o uso e a aceitação da Inteligência Artificial (IA) em empresas, com um estudo comparativo entre Brasil e Portugal. O foco é esclarecer como a IA é implementada e recebida pelo meio empresarial e seus colaboradores. Para tanto, o estudo é dividido em duas partes principais: a primeira é uma análise comparativa, que visa captar uma ampla variedade de respostas – de empresas que aplicam, ou não, inteligência artificial – buscando uma visão completa do estado atual das organizações brasileiras e portuguesas. Por sua vez, a segunda análise é direcionada a participantes com conhecimento sobre IA, e aplica o modelo Unified Theory of Acceptance and Use of Technology (UTAUT) para examinar os fatores que influenciam a aceitação da tecnologia. A investigação segue uma abordagem quantitativa, utilizando questionários como principal instrumento de coleta de dados. Para análise, a metodologia inclui análise descritiva, análise bivariada e análise de clusters, realizadas com o auxílio do software IBM SPSS Statistics 27. Os resultados demonstram diferenças significativas sobre as atitudes em relação à Inteligência Artificial (IA) nas empresas de Brasil e Portugal, revelando uma adoção moderada em ambos, com Portugal mostrando uma leve vantagem. Ademais, identificou-se que setores, tamanho das empresas e cultura organizacional influenciam significativamente na aplicação. Enquanto empresas que já utilizam IA focam na otimização de processos, as que planejam sua adoção visam melhorias no atendimento ao cliente e inovação. As principais barreiras incluem falta de conhecimento técnico, preocupações com custos e, particularmente em Portugal, questões de segurança de dados. Na segunda análise, a aplicação do modelo UTAUT destacou a Expectativa de Desempenho e as Condições Facilitadoras como fatores chave para a adoção da IA, enquanto a Expectativa de Esforço e a Influência Social tiveram impactos menores.
The research explores the use and acceptance of Artificial Intelligence (AI) in companies, with a comparative study between Brazil and Portugal. The focus is to clarify how AI is implemented and received by the business environment and its employees. To this end, the study is divided into two main parts: the first is a comparative analysis, which aims to capture a wide variety of responses – from companies that apply, or do not apply, artificial intelligence – seeking a complete view of the current state of Brazilian and Portuguese organizations. In turn, the second analysis is directed at participants with knowledge about AI, and applies the Unified Theory of Acceptance and Use of Technology (UTAUT) model to examine the factors that influence the acceptance of the technology. The investigation follows a quantitative approach, using questionnaires as the main data collection instrument. For analysis, the methodology includes descriptive analysis, bivariate analysis, and cluster analysis, conducted with the aid of IBM SPSS Statistics 27 software. The results show significant differences in attitudes towards Artificial Intelligence (AI) in companies in Brazil and Portugal, revealing moderate adoption in both, with Portugal showing a slight advantage. Furthermore, it was identified that sectors, company size, and organizational culture significantly influence the application. While companies that already use AI focus on process optimization, those planning its adoption aim for improvements in customer service and innovation. The main barriers include a lack of technical knowledge, cost concerns, and, particularly in Portugal, data security issues. In the second analysis, the application of the UTAUT model highlighted Performance Expectancy and Facilitating Conditions as key factors for AI adoption, while Effort Expectancy and Social Influence had lesser impacts.
The research explores the use and acceptance of Artificial Intelligence (AI) in companies, with a comparative study between Brazil and Portugal. The focus is to clarify how AI is implemented and received by the business environment and its employees. To this end, the study is divided into two main parts: the first is a comparative analysis, which aims to capture a wide variety of responses – from companies that apply, or do not apply, artificial intelligence – seeking a complete view of the current state of Brazilian and Portuguese organizations. In turn, the second analysis is directed at participants with knowledge about AI, and applies the Unified Theory of Acceptance and Use of Technology (UTAUT) model to examine the factors that influence the acceptance of the technology. The investigation follows a quantitative approach, using questionnaires as the main data collection instrument. For analysis, the methodology includes descriptive analysis, bivariate analysis, and cluster analysis, conducted with the aid of IBM SPSS Statistics 27 software. The results show significant differences in attitudes towards Artificial Intelligence (AI) in companies in Brazil and Portugal, revealing moderate adoption in both, with Portugal showing a slight advantage. Furthermore, it was identified that sectors, company size, and organizational culture significantly influence the application. While companies that already use AI focus on process optimization, those planning its adoption aim for improvements in customer service and innovation. The main barriers include a lack of technical knowledge, cost concerns, and, particularly in Portugal, data security issues. In the second analysis, the application of the UTAUT model highlighted Performance Expectancy and Facilitating Conditions as key factors for AI adoption, while Effort Expectancy and Social Influence had lesser impacts.
Description
Mestrado em IPB-ESTG e ASSOCIAÇÃO DE POLITÉCNICOS DO NORTE (APNOR): Instituto Politécnico do Cávado e do Ave, P. Porto, Instituto Politécnico de Viana do Castelo
Keywords
Inteligência artificial Empresas Brasil Portugal Modelo UTAUT