Título :	Aceitação e uso de tecnologias, estilos de liderança e adoção de estratégias corporativas como preditores da maturidade na prática de Data Mining na Gestão de Pessoas : um estudo multinível
Autor :	Silveira Junior, Roberto Rosa da
Orientador(es)::	Coelho Junior, Francisco Antonio
Assunto::	Data Mining Estilos de liderança Gestão de pessoas
Fecha de publicación :	8-sep-2025
Data de defesa::	29-may-2025
Citación :	SILVEIRA JUNIOR, Roberto Rosa da. Aceitação e uso de tecnologias, estilos de liderança e adoção de estratégias corporativas como preditores da maturidade na prática de Data Mining na Gestão de Pessoas: um estudo multinível. 2025. 224 f., il. Tese (Doutorado em Administração) - Universidade de Brasília, Brasília, 2025.
Abstract:	The present study aimed to understand the elements that influence maturity in the practice of data mining. The research was conducted in structured stages to ensure methodological rigor, beginning with exploratory interviews during a Pilot phase, which enabled the identification of relevant variables, followed by a theoretical foundation for those variables. The objective was to investigate the multilevel empirical relationships between the perception of acceptance and use of data mining technologies, the perception of leadership styles favorable to data mining, the perception of corporate strategy adoption for data mining, and the influence of these variables on the perceived maturity of data mining practices in people management. A multilevel model was adopted to evaluate the interaction between individual and organizational contextual variables, aiming to understand how certain factors impact the maturity of these practices. Established scales from the literature were used, including UTAUT2 to measure acceptance and use of data mining technologies, the EAEG managerial styles assessment scale to analyze leadership styles favorable to data mining, and the Industry 4.0 maturity model to assess the adoption of corporate strategies for data mining. In addition, a new scale was developed to measure the maturity of data mining practices, encompassing dimensions such as organizational culture, automated processes, data and information, people management practices, and products/services. Subsequently, the research instruments underwent a statistical validation process to ensure their reliability. The results revealed that the proposed models accurately capture interactions between individual and organizational variables, confirming the relevance of multilevel modeling in representing the hierarchical structure of the analyzed organization. The perception of corporate strategy adoption, facilitating conditions, and behavioral intention emerged as consistent predictors of maturity in data mining practices, highlighting that strategic alignment, organizational support, and individual engagement are key determinants for advancing the use of analytical technologies in people management.
metadata.dc.description.unidade:	Faculdade de Economia, Administração, Contabilidade e Gestão de Políticas Públicas (FACE) Departamento de Administração (FACE ADM)
Descripción :	Tese (doutorado) — Universidade de Brasília, Faculdade de Economia, Administração e Contabilidade e Gestão Pública, Programa de Pós-Graduação em Administração, 2025.
metadata.dc.description.ppg:	Programa de Pós-Graduação em Administração
Aparece en las colecciones:	Teses, dissertações e produtos pós-doutorado

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