Innovation processes in rural contexts occur in systems that are diverse, coupled with complex challenges. Dealing with complex systems requires an understanding of the social dynamics of actor networks and innovation.This study attempted to provide insights on thecompositional dynamics of actor networks,and how they influenceinteractive learning and innovation among agro-processing enterprises in South Africa. The guiding research questions to help address the study objectives are:What are the structural characteristics of actor networks for innovation in rural contexts?
The objective of this article is to increase the understanding of the indicator landscape and to complement the various stages of the innovation process with relevant indicators. In doing so, this study categorizes the identified indicators into company-specific and contextual dimensions. Furthermore, this study analyzes the indicators in terms of their potential for ex-ante and ex-post evaluation and investigates the characteristics of relevant publications. The analysis finds that more process rather than product indicators exist in the literature.
There has been an increasing interest in science, technology and innovation policy studies in the topic of policy mixes. While earlier studies conceptualised policy mixes mainly in terms of combinations of instruments to support innovation, more recent literature extends the focus to how policy mixes can foster sustainability transitions.
There is sufficient evidence, drawn from surveys of innovation in the public sector and cognitive testing interviews with public sector managers, to develop a framework for measuring public sector innovation. Although many questions that are covered in the Oslo Manual guidelines for measuring innovation in the private sector can be applied with some modifications to the public sector, public sector innovation surveys need to meet policy needs that require collecting additional types of data.
The question of how social enterprises foster social innovation in rural regions remains largely unexplored. In this paper, was developed the assumption that the embeddedness of social enterprises in rural communities and their ability to connect rural communities with supra-regional networks and decision makers are crucial preconditions for generating and fostering social innovation in the countryside.
The startups are an exemplar that great things are done by a series of small things brought together. Taking one small step at a time, moving from one problem to another and solving the issues by disruptive innovation is what these startups are trying to achieve. The startups are not only creating new jobs which means more employment but are also leaving a ripple effect on the socio-economic fabric of the demography in which they are operating. The world has become a playfield for these young entrepreneurs as the global startup revolution continues to grow.
'AgTech' is the latest discourse about introducing new technologies to agricultural production. Researchers, corporations, and governments around the world are investing heavily in supporting its development. Abu Dhabi, the largest and wealthiest emirate in the UAE, has been among these supporters, recently announcing a massive scheme to support AgTech companies. Given the extreme temperatures and aridity of the Arabian Peninsula, several new start-ups have focused on 'controlled environment' facilities – hydroponics and aeroponics in various kinds of greenhouses.
Agricultural machinery manufacturers historically referred to the intermediate players for selling, maintenance, customer service and/or training of equipment appear to interact with farmers and end-users. Intermediate players have therefore faced the burden to master the technology, in constant evolution, and the associated training needs at the interface between sophisticated equipment and the end-user and its sociological characteristics (age, education, background, etc.).
Esta revisión de la literatura muestra la diversidad de puntos de vista en la caracterización del AIS (visión estructural, visión funcional, visión ba-sada en procesos, visión basada en capacidades). Estas diferentes visiones del AIS se basan en diferentes hipótesis y abarcan diferentes métodos de análisis del AIS. Los académicos consideran que estos puntos de vista son complementarios y útiles para una evaluación operativa del AIS. Debido a esta multiplicidad de puntos de vista analíticos, se ha desarrollado un gran número de métodos.
Los sistemas regionales de innovación potencian el crecimiento competitivo de los territorios. El análisis factorial de los sistemas regionales de innovación agroalimentarios de Colombia evidenció una relación directa entre la articulación empresarial y el capital relacional para la obtención de ventas correspondientes a innovaciones.