Explore the interaction between artificial intelligence and employees, inside organizations

• Autor(a) principal: Neto, Diogo Afonso Capelo
• Data de Publicação: 2021
• Tipo de documento: Dissertação
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/10071/23568
• topic: Engagement; Artificial intelligence; Social interaction; Stress; Happiness; Inteligência artificial; Interação social; Ansiedade -- Anxiety; Alegria/Satisfação

Engagement is a topic of relationship marketing important for organizations in order to improve performances. For that reason, it should be investigated ways to increase it. The introduction of artificial intelligence inside organizations is already a reality in the present, and its growing is inevitable for the future. The objective of this study is to understand what is the impact of AI in employee engagement in two different scenarios, one with AI robots and the other one with AI software. For that, it was analysed how social interaction, anxiety, and stress associated to AI influence engagement. Besides that it was tested if engagement is a driver for happiness, and for a “subjective well-being perspective” felt by employees. Finally, it was tested if self-esteem is a moderator, and influences any of the relationships studied. The conceptual model was based on preliminary studies, interviews, and focus groups. It includes multiple linear regression analysis with employee engagement as dependent variable, and simple linear regression analysis with happiness as dependent variable. The moderation tests are present in the model as well. Data was collected from two questionnaires developed, one for each scenario, and with the analysis done, it was possible to find relationships between the constructs in the model. Social interaction, anxiety, and stress, influence employee engagement, and employee engagement is a driver for happiness. With all the conclusions explained in this dissertation it is possible to answer the research questions proposed and to suggest studies and investigations for the future.