Logo PUC-Rio Logo Maxwell
ETDs @PUC-Rio
Estatística
Título: PROBLEMS AND OBSTACLES TO INNOVATION BY SMALL AND MEDIUMSIZED ENTERPRISES IN THE MANUFACTURING INDUSTRY IN BRAZIL
Autor: LILIANA DENNIS MEJIA SANCHEZ
Colaborador(es): MARIA FATIMA LUDOVICO DE ALMEIDA - Orientador
Catalogação: 04/MAI/2020 Língua(s): PORTUGUESE - BRAZIL
Tipo: TEXT Subtipo: THESIS
Notas: [pt] Todos os dados constantes dos documentos são de inteira responsabilidade de seus autores. Os dados utilizados nas descrições dos documentos estão em conformidade com os sistemas da administração da PUC-Rio.
[en] All data contained in the documents are the sole responsibility of the authors. The data used in the descriptions of the documents are in conformity with the systems of the administration of PUC-Rio.
Referência(s): [pt] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=47793&idi=1
[en] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=47793&idi=2
DOI: https://doi.org/10.17771/PUCRio.acad.47793
Resumo:
The dissertation aims to analyze the influence of innovation management factors, particularly inter-organizational cooperation and the use of information from different sources, on the perception of the problems and obstacles to innovation faced by small and medium-sized enterprises (SMEs) of the manufacturing industry in Brazil. This analysis was performed according to three levels of technological intensity of SMEs and firm size (small and medium enterprises). The research can be considered descriptive and applied. The methodology adopted comprised bibliographic research on innovation; technological classifications, highlighting the classification proposed by the Organization for Economic Cooperation and Development (OECD) for technological intensity of manufacturing sectors; comparative analysis of empirical studies on problems and obstacles faced by SMEs; documentary analysis focusing on the National Classification of Economic Activities (CNAE, acronym in Portuguese) and the National Innovation Survey (Pintec), both publications of the Brazilian Institute of Geography and Statistics (IBGE); content analysis to classify the economic activities of the respondent SMEs of Pintec 2014, according to three levels of technological intensity of the sectors in which they operate and two ranges of allocated personnel; request of microdata to IBGE; development of logistic regression models for six groups of SMEs; interpretation and discussion of the results innovation. From the results of the empirical study, the main conclusion is that SMEs can significantly broaden their understanding of the criticality of problems and obstacles to innovation as they engage in RandD activities, especially in open innovation models.
Descrição: Arquivo:   
COMPLETE PDF