Banca de DEFESA: RENATA DE OLIVEIRA MOTA

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
DISCENTE : RENATA DE OLIVEIRA MOTA
DATA : 10/02/2017
HORA: 09:00
LOCAL: Sala D1-A- Setor IV
TÍTULO:

How Knowledge Management influences the Innovation Capacity of Brazilian Startups

PALAVRAS-CHAVES:

Innovation; Knowledge management; Startups; Modeling of Structural Equations

PÁGINAS: 120
GRANDE ÁREA: Engenharias
ÁREA: Engenharia de Produção
RESUMO:

Brazil needs to improve its economic and innovative potential in the face of competitiveness in the world market. The advent of startups improves this performance, due to the ability of these companies to shape market changes, and generate innovations in the face of technological disruptions. Knowledge is the essence of the innovation process, but although these companies present innovation as a basis, they face barriers related to the knowledge management process, and this factor contributes to the high mortality rates diagnosed in the country. In view of this scenario, the objective of this research is to develop and validate a structural model that demonstrates the interrelationship of the key factors of knowledge management as determinants of the innovation capacity of Brazilian startups. In this way, we search for results that allow us to help the decision-making of these companies and their respective stakeholders. The theoretical basis is based on the discussion between the themes: Innovation, Knowledge Management, Startups and Modeling of Structural Equations. In developing the theoretical framework, we sought to analyze the currents of thought among the main authors of these themes in the Scopus and Web of Science databases. Regarding the methodological aspects, this study is characterized as a qualitative-quantitative research, of formalized objective with interrogation method and scope of case study. The collection of data will be national, and will be carried out through a survey applied with the startups registered in the ABStartups database. The analysis of the data will be developed using Structural Equation Modeling, this method was chosen because it is appropriate for the global analysis of a model, because a confirmatory analysis is generated that allows the representation of non observable concepts, verifying possible errors of During the process. As expected results, we seek to achieve a structural model that can serve as a basis for a plan of action to be developed by startups, so that they improve their knowledge management processes and improve their innovation capabilities. The increase in the development of innovations will be a positive result for the entire society, promoting quality of life for the population and economic development for the country.

MEMBROS DA BANCA:
Presidente - 1714250 - JAMERSON VIEGAS QUEIROZ
Externo à Instituição - LUIS FELIPE DIAS LOPES - UFSM
Externo ao Programa - 347303 - MARCIANO FURUKAVA