masterThesis
QIn - Framework para Gestão Integrada de Qualidade e de Inovação - o paradoxo entre qualidade e inovação na gestão de projetos de software
Fecha
2017-11-30Registro en:
LIMA, Pablo Bemher Silva. QIn - Framework para Gestão Integrada de Qualidade e de Inovação - o paradoxo entre qualidade e inovação na gestão de projetos de software. 2017. 79f. Dissertação (Mestrado Profissional em Ciência, Tecnologia e Inovação) - Escola de Ciências e Tecnologia, Universidade Federal do Rio Grande do Norte, Natal, 2017.
Autor
Lima, Pablo Bemher Silva
Resumen
From the beginning of the modern administration, beginning of century XX, companies
of the most diverse segments adopted rational techniques aiming the control and quality
in its productive processes. These techniques focus on waste reduction through the
elimination of errors (GOMES, 2005). With the technological advance of the last years,
companies have faced increasingly fierce competition, demanding rapid changes and a
relaxation in their work processes (SILVA, 2008). Faced with this new reality,
innovation management has become a tonic of business and companies that
demonstrate greater flexibility in their processes have started to gain more market
shares (PEREIRA, 2005). However, it is observed that quality addresses no research
initiation and an innovation can be interpreted as contradictory, since quality is an
innovation, it accepts error as a learning tool and better. Faced with this paradox
between quality management and innovation management, there is a dilemma: How to
combine these factors, quality management and innovation management? Throughout
the work, it is presented to situations in which innovation and quality can confront
especially in projects of software development. The research aims to design the
framework QIn (Quality and Innovation) for management of software projects. How to
get a search, such as a search application, as a search application, as a form of search,
reality based on interviews and / or the observation of field and people. A technique
used for observation with a structured script. A technology developed to validate its
application in different projects, which shows a viability of its implementation.
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