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The economic and financial impact of innovation ecosystems in the Brazilian industry

Grant number: 19/13785-2
Support Opportunities:Scholarships in Brazil - Scientific Initiation
Effective date (Start): May 01, 2020
Effective date (End): April 30, 2021
Field of knowledge:Applied Social Sciences - Administration - Business Administration
Principal Investigator:David Ferreira Lopes Santos
Grantee:Ana Luísa Pereira
Host Institution: Faculdade de Ciências Agrárias e Veterinárias (FCAV). Universidade Estadual Paulista (UNESP). Campus de Jaboticabal. Jaboticabal , SP, Brazil


Recent theoretical and empirical studies have demonstrated the importance of innovation ecosystems for the competitiveness of companies in their surroundings, however, these studies are restricted to case studies or analysis of specific economic sectors. Literature is scarce when assessing the influence of the proximity of companies to the innovation ecosystem on economic and financial performance, having as scope all the industrial activity of a country. Innovation ecosystems and their importance for the performance of companies is still a field of study to be explored in Brazil. Therefore, the objective of this research is to analyze, at the firm level, the influence of innovation ecosystems on the economic and financial performance of industries established in Brazil. The central hypothesis of this research is that the company's greater proximity to an innovation ecosystem can positively influence its economic and financial performance. As the concepts of proximity and economic-financial performance are understood under different variables, we chose to analyze this relationship through Structural Equation Modeling in which these two concepts will be measured as latent variables (constructs). The variables observed for the Economic and Financial Performance construct will be indicators of profitability and profitability built from a wide database that adds up to more than 2,500 industrial firms. The construct of proximity to innovation ecosystems will be formed by two variables, the physical distance of each company to the ecosystem and the degree of centrality of the company in its segment. In the event that these constructs have statistical reliability, assessed by Confirmatory Factor Analysis, the influence of the innovation ecosystem construct on Economic-Financial Performance will be verified through Structural Equation Modeling. The project presents two methodological challenges that will be faced in this research. Initially, the project will have to define and identify the innovation ecosystems established in Brazil. Despite the existence of some classifications of innovation ecosystems (habitats, hubs, clusters, among other nomenclatures), there are no consolidated proposals in the literature that delimit or even define an innovation ecosystem; a proposal will be built and implemented in this research. There is a second challenge that will occur if the constructs are not statistically consistent, which will require the use of more conservative techniques such as multiple regression analysis or the use of means comparison tests. The information analysis period will involve the 2015/2018 quadrennium. Despite the existence of methodological challenges, this project aims to advance on a theoretical-empirical theoretical gap with the expectation of the results as the possibility of contributing to: I) construction of public policies oriented to the creation and promotion of innovation ecosystems as inducers business competitiveness; II) business decisions regarding the positioning of industrial plants and research and development centers geared to greater integration with universities and research institutes; III) greater knowledge about industry-oriented innovation ecosystems in Brazil; IV) discuss the importance of external relations for the promotion of innovation. (AU)

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