Innovation has become the promising concept to overcome problems and enhance agricultural performance in agricultural research and policies. In the past, innovation was mainly seen as being developed by science or enterprises, and only recently the focus has shifted from a linear to a systemic perception, acknowledging that innovation is a dynamic process that implies the participation of a diversity of stakeholders. Consequently the role of multiple stakeholders, including farmers, in the innovation process receives more attention.
This paper contributes to the ongoing discussion in the scientific literature on the advantages and disadvantages of privatization of extension and advisory services and the shift from thinking in terms of the traditional Agricultural Knowledge System towards a broader Agricultural Innovation System.
The purpose of this article is to investigate the functions of design process outputs (such as design briefs, scale models, visualizations, animations) as boundary objects in the implementation of novel agricultural production system concepts.
The agricultural innovation systems approach emphasizes the collective nature of innovation and stresses that innovation is a co-evolutionary process, resulting from alignment of technical, social, institutional and organizational dimensions. These insights are increasingly informing interventions that focus on setting up multi-stakeholder initiatives, such as innovation platforms and networks, as mechanisms for enhancing agricultural innovation, particularly in sub-Saharan Africa.
In the systems perspective on innovation, co-operation between several different types of actors is seen as key to successful innovation. Due to the existence of several gaps that hinder such effective co-operation, the scientific and policy literature persistently points at the need for intermediary organizations to fulfill bridging and brokerage roles. This paper aims to provide an overview of the insights from the literature on such ‘innovation brokers’, and to contribute to the literature by distilling lines of enquiry and providing insights on one of the lines identified.
The Agricultural Innovation System (AIS) is a network of organizations, enterprises and individuals that focuses on bringing new products, processes and forms of organization into economic use, together with the institutions and policies that affect their behaviour and performance. In the small North East Indian state of Tripura, System of Rice Intensification (SRI) has grown to develop into an innovation system where various stakeholders have come together to make the state self-sufficient in food grains.
This paper identifies the stakeholders of System of Rice Intensification (SRI), their roles and actions and the supporting and enabling environment of innovation in the state as the elements of the Agricultural Innovation Systems (AIS) in SRI in Tripura state of India and studies the relationship matrix among the stakeholders. Methodology: A descriptive research design was followed to study the agricultural innovation system in SRI.
This chapter analyses the functioning of the Brazilian agricultural innovation system. It discusses the role of the different actors and describes governance mechanisms to define priorities and evaluate performance. It analyses trends in agricultural R&D expenditure and sources of funding, the role of intellectual property protection in fostering knowledge markets, and outlines mechanisms used to facilitate knowledge transfers, including collaboration at the national level and the adoption of innovation at the farm or firm level.
The key concepts and definitions of this brief provide a common point of reference to inform the formulation of the TAP Common Framework on Capacity Development for Agricultural Innovation Systems.
In sub-Saharan Africa, there is increasing interest for the adaptation and use of the innovation systems approach to advance learning and development in the Agricultural Research and Development (ARD) sector. This crave is constrained by unavailability of a proven blue print that describe the paradigm shift from the linear approach and how such could function under different socio-economic, cultural and political climate.