Funções de governança de redes interorganizacionais para a promoção de ecossistemas de inovação

Abstract

The formation of interorganizational networks for the promotion of ecosystems is a strategy increasingly present on the agenda of public and private actors, as an alternative for local development. However, effectiveness is something very difficult to achieve, and much has been studied about the factors that contribute to the effectiveness of a collaborative environment and that, in turn, becomes essential for the promotion of innovation ecosystems. One of these factors is the governance of networks. Despite advances in governance research, more studies are published on the role of routine governance activities to promote greater collaboration. This research intends to fill this gap, analyzing the possibilities of governance functions that favor collaboration. To this end, a set of networks in the initial stage of formation, formed from the Pacto Alegre initiative, was researched. Nineteen purpose-oriented networks focused on promoting the local innovation ecosystem in the municipality of Porto Alegre were evaluated. These networks are formed by universities, the city of Porto Alegre, public agencies, companies and civil society associations and local leaders. The research method chosen to provide answers to the research question was Qualitative Comparative Analysis (QCA). As a result, it was identified that the Organize Resources, Arbitrate Tensions and Monitor Efforts and Results governance functions are necessary but not sufficient, and two combinations of conditions lead to collaboration. Two combinations of conditions were identified with high consistency: OR*AT*MER (IP*AI+~IP*MP) → RC + RL + RA + RPO + RPR. Finally, the study presents theoretical contributions by filling a knowledge gap about the governance functions that enhance the collaborative environment. As managerial contributions, we contributed to a greater understanding of what everyday governance functions are required for the success of collaboration of startup networks in formation, as well as specific recommendations for the forthcoming stages of network maturity of the networks studied.