Over the last 10 years much has been written about the role of the private sector as part of a more widely-conceived notion of agricultural sector capacity for innovation and development.
Over the last 10 years much has been written about the role of the private sector as part of a more widely-conceived notion of agricultural sector capacity for innovation and development.
This paper reflects on the experience of the Research Into Use (RIU) projects in Asia.
The study explored the nature of innovation response capacity and the building of policy-relevant innovation capacity in the context of livestock-related emergencies in East Africa.
This paper aims to map the experience of the RIU Asia projects and draw out the main innovation management tactics being observed while laying the groundwork for further research on this topic.
This paper sets out an analytical framework for doing research on the question of how to use agricultural research for innovation and impact. Its focus is the Research Into Use programme sponsored by the UK's Department for International Development (DFID).
Understanding how an innovation system emerges and develops is critical to its promotion and to ensuring successful innovation processes.
The balance of debates about innovation systems ideas in agricultural and rural developmentseems to have shifted from conceptualisation and historical analysis to planning and practice.
This paper reflects on the experiences of the Applied Research and Innovation Systems in Agriculture (ARISA) project to caralyse agricultural innovation by bringing RIs and private sector (PS) actors together in partnerships.
This brief discusses the emergence of Asia as a hotpot of innovation and the implications for Australia's own innovation capacity
The Applied Research and Innovation Systems in Agriculture project (ARISA) started in December 2014 with the aim of increasing net farm income for 10,000 smallholder farming households in eastern Indonesia.
It has long been recognized that investment is needed to build capacity in Science Technology and Innovation (STI) particularly in low and medium income (LMI) countries. Yet there is little understanding as to how to do this.
This chapter examines processes to inform decision making and manage innovation at four generally defined levels of the innovation system for agriculture; policy, investment, organization, and intervention and also identifies methods relevant at each level for assessing, prioritizing, monitoring,