Modelo de competências à luz da adaptabilidade para análise da atuação em equipes de software

• Ano de defesa: 2018
• Autor(a) principal: Dias Júnior, José Jorge Lima
• Tipo de documento: Tese
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal da Paraíba; Brasil; Administração; Programa de Pós-Graduação em Administração; UFPB
• Palavras-chave em Português: Competência profissional; Sistemas adaptativos complexos; Equipes de software; Competências adaptativas; Professional competency.; Complex Adaptive Systems; Software teams; Adaptive competencies; Adaptabilidade em equipes; Competência individual e coletiva; CNPQ::CIENCIAS SOCIAIS APLICADAS::ADMINISTRACAO
• Link de acesso: https://repositorio.ufpb.br/jspui/handle/123456789/15845

This thesis proposes the Adaptative Competencies model to analyze the dynamics of the professional's performance in software teams. This model includes a) the constructs and their measurement structure; b) the understanding that these constructs contribute to the transition, action and interpersonal processes of the team adaptive cycles; c) the comprehension that professionals assume different roles within the complex adaptive systems (CAS), in time and space, from the individual e contextual attributes interaction. Three objectives were defined to reach this model: 1) to characterize the competencies of professionals that work in software teams in the light of adaptability; 2) to identify the constructs that compose these competencies; 3) to analyze the relations among constructs to delimit the adaptive competencies model in software teams as CAS. The methodological trajectory involved two moments. First one, a qualitative approach was adopted in which 14 professionals were interviewed, and five teams are observed in a Hackathon event. From the thematic data analysis, it was possible to characterize the competent performance in the light of adaptability. The second moment followed a quantitative approach. The qualitative data has subsidized the construction of an adaptive competence measurement scale. This process included content and face validation from 21 specialists; the application in the first sampling with 233 Computer students for cleaning and adjustments; and a second sample, through a survey, with 454 professionals of software teams. This scale was submitted to validation and reliability evaluation based on exploratory and confirmatory factor analysis. Hence, seven constructs were identified: resilience, self-learning, seeking help, emotional control, problem-solving, coordination leadership, and cooperation leadership. Then, we analyzed the relations among constructs and the contextual team and project variables through Structural Equations Models (SEM), and other multivariate techniques. The findings evidenced the relevance of the technical domain to mobilize the competencies. Also, problem-solving mobilization is largely explained by selflearning, resilience, and seeking help. The problem-solving competency legitimizes the team member to put into action leadership competencies, which is emerging and informal. Besides, we identify five different profiles through cluster analysis that explain three possible roles that the professionals can assume within CAS. The first one is more proactive in which agent helps the system to adapt (adapter agent). The second one, more reactive role in which he/she remains functional even in the face of change (reactive agent). And the third one, in which the professional can create disruptions for the team adaptation (limiter agent). We consider this theoretical-empirical construction, materialized in the adaptive competencies model, brings innovation to the studies about competencies, and it contributes to the people management and IT areas. The constructs that compose the adaptive competencies model, as well as its measurement scale, serve as a starting point for software companies that intends to adopt a competency management model. At a micro level, team managers can better manage available resources to improve team performance since the understanding of agents’ perspective of CAS.