Open collaborative innovation process and their relationship with university-industry and innovation performance

• Ano de defesa: 2020
• Autor(a) principal: Saraceni, Sandra
• Tipo de documento: Tese
• Tipo de acesso: Acesso aberto
• Idioma: eng
• Instituição de defesa: Biblioteca Digitais de Teses e Dissertações da USP
• Palavras-chave em Português: Collaborative innovation; Competitor performance; Innovation; Innovation performance; Inovação; Inovação colaborativa; Knowledge transfer; Open innovation; Organizational performance; Performance de concorrentes; Performance de inovação; Performance organizacional; Transferência de conhecimento
• Link de acesso: https://www.teses.usp.br/teses/disponiveis/12/12139/tde-07082020-183115/

This study explores whether, in the open innovation practices, the knowledge that flows across organizational boundaries, during the collaborative University-Industry process, can positively affect Innovation Performance, Organizational Performance and Organizational Innovation in the analysis across companies/industries in Brazil. This research employed an empirical study by use of the questionnaire survey method. The survey was conducted with employees from all sectors of the industry listed across 783 largest companies in Brazil. Using structural equation modeling (SEM) a proposed model was tested and validated based on the statistical analysis of the data collected from 504 employees from innovation departments. The main theoretical and impact contributions of the study to society are: a) to understand how companies in Brazil are organized to absorb and transfer the knowledge generated by collaborative projects between universities and companies; b) generate subsidies for public and private policies in the efficient use of collaboration between University-Industry, from the identification in the innovation activities of the manufacturing industry in Brazil. The theoretical contribution of this research is the creation of an integrative theoretical framework of theories and collaborative innovation processes, operationalized through the structural equation modeling for data analysis of twelve constructs (Knowledge Transfer; Intrinsic Motivation; Acquired Knowledge; Innovative Culture; Absorptive Capacity; Organizational Learning; Transformational Leadership; Knowledge Management; Organizational Innovation; Innovation Performance; Organizational Performance; Competitor Performance), based on dependency relationships, derived from open innovation theory, with the goal that companies and universities in Brazil improve their collaborative process. The management contribution of this research is that this framework can provide useful tools to deepen the understanding of Knowledge Transfers in the collaborative process between university and company, so that public bodies could create public policies in Brazil and that result in a closer relationship between them.