RESUMO.-A ovinocultura sempre foi uma atividade de grande importância econômica e de tradição para o Estado do Rio Grande do Sul (RS), mesmo com as crises da lã ocorridas nas décadas de 80 e 90, o rebanho ovino Gaúcho continua sendo o maior a nível nacional. Com a escassez de dados sobre essa atividade, o presente estudo possui como objetivo caracterizar a ovinocultura do RS. Para isso, foi utilizada uma amostragem planejada, caracterizada pela aleatoriedade e estratificação da amostra pelas sete Mesorregiões do Estado. Foram analisadas 705 propriedades rurais através de um questionário epidemiológico, aplicado por 25 veterinários do Departamento de Defesa Animal, da Secretaria da Agricultura, Pecuária e Agronegócio do Estado do Rio Grande do Sul. Conforme os resultados obtidos, a ovinocultura gaúcha é explorada extensivamente e baseada na produção conjunta de carne e lã, cuja principal finalidade é a subsistência. Assim, demonstrando que essa atividade ainda mantém padrões de sua origem, com pouca tecnificação, tanto em aspectos sanitários quanto reprodutivos, revelando, portanto, que a ovinocultura gaúcha ainda é vista como uma produção secundária pelos produtores rurais gaúchos, o que pode ser explicado pelos baixos investimentos neste setor.TERMOS DE INDEXAÇÃO: Ovinocultura, estudo descritivo epidemiológico, questionário epidemiológico.

Purpose Innovation ecosystems can emerge and grow organically, but the process can also be managed through conscious intervention. Therefore, this study observes different motivations and expectations for each group of actors. The lack of alignment between actors could have a negative influence on the development of innovation ecosystems. This study aims to analyze the coordination strategies of the actors throughout the life cycle of innovation ecosystems. Design/methodology/approach This study develops and proposes a model for coordinating innovation ecosystems based on the theoretical backgrounds of the ecosystem life cycle and ecosystem coordination. Findings This study argues that each stage of an innovation ecosystem’s life cycle – inception, launching, growth and maturity – demands different coordination strategies. Initially, networks are simpler and thus the coordination issues are less difficult. However, as the ecosystem evolves and the complexity of the networks increases, a more sophisticated strategy, such as orchestration or choreography, is needed. Research limitations/implications This is a theoretical study that recommends further research to test this model. Practical implications The understanding of coordination and stages of the life cycle of an innovation ecosystem can guide actors in the design of strategies for developing of ecosystems. Social implications The proposed framework could support strategies to engage civil society in actions to develop innovation ecosystems. Originality/value This study presents a framework to understand the coordination strategies better, considering the stages of an innovation ecosystem’s life cycle.

Objective of the study: The present study aimed to answer the following question: How are resources orchestrated to generate innovation in innovation ecosystems?Methodology/Approach: An exploratory qualitative research was conducted through documentary analysis, non-participant observation, and in-depth interviews with actors from two Brazilian ecosystems in different stages of development: 4th District (emerging) and Porto Digital (growth).Originality/Relevance: Innovation ecosystems can be understood as a set of resources that foster innovation. Current research suggests that even more important than resources is the articulation among them and the way they are orchestrated.Main Results: It was found that resource pooling characterizes the transition moment from the emergency stage to the growth stage.Theoretical/ Methodological Contribution: A direct relationship between resource orchestration and the stage of ecosystem development was identified.Social/Management Contribution: The importance of the orchestration role, as well as the presence of an orchestrating actor, was emphasized, and a framework of analysis on the orchestration of resources in innovation ecosystems was proposed.

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