A influência das hard e soft skills na maturidade tecnológica em Indústria 4.0

• Autor(a) principal: Arins, Ricardo Werner
• Data de Publicação: 2020
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: Repositório do Centro Universitário Braz Cubas
• Texto Completo: https://repositorio.cruzeirodosul.edu.br/handle/123456789/1959
• topic: Administração; Indústria automobilística; Inovações tecnológicas; Habilidades sociais; CNPQ::CIENCIAS SOCIAIS APLICADAS::ADMINISTRACAO

Industry 4.0 is promoted by technological innovation in automation, generation of large masses of data, adoption of advanced information systems and strategic change in people management. The general objective of this study is to identify the human skills necessary for the technological maturity of an automotive industry in the context of I4.0. The research method adopted was the case study, the data collection was performed with ten collaborators and the data were treated by the content analysis technique. The analysis unit was the engineering sector of an automotive technology industry, chosen by the adoption of Industry 4.0 practices. The results of the study indicated that the research unit has been developing technical and behavioral skills, hard and soft skills, in the first levels of technological maturity for Industry 4.0, both from the individual effort of employees and from organizational initiatives such as training and development. Most of the hard skills identified are related to information systems (IS), once they were found to be relevant, skills in IS subsystems such as business intelligence (BI), data mining, big data, 3D simulation, machine learning, software programming, information security, systems analysis, and statistics. The main soft skills identified are correlated with each other and comprise a dynamic set of behavioral skills. The hard and soft skills found to allow us to conclude that the investigated industry operates in a higher degree in the first levels of technological maturity, namely: digitalization (1 and 2), visibility (3), and transparency (4). The skills required at more advanced levels of technological maturity - predictive ability (5) and adaptability (6) - seem to be under development. It is possible to conclude that the development of skills, hard and soft skills, must be combined in order to allow the systemic mastery of more advanced levels of I4.0. The development of these skills should also start from individual initiatives, from the collaborator himself, but especially from organizational initiatives, from technological innovation, promotion of teamwork, improvement of interpersonal relationships, and reduction of generational shocks. The main limitations of this study are methodological, related to the single case study method and the data collection instrument, not previously validated by the literature. Future studies may compare human skills in national and multinational foreign industries. They can also investigate the skills needed to reach technological maturity in I4.0, considering the sum of knowledge, skills, and attitudes (CHA).