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, and evaluating innovation processes so that practitioners have the information needed for decision making and for managing limited resources effectively.

Successful cases of innovation invariably demonstrate a range of partnerships, alliances and network-like arrangements that connect together knowledge users, knowledge producers and others involved in enabling innovation in the market, policy and civil society arenas. With this comes the realisation that public agricultural research needs to strengthen links to a wider set of players from the private and civil society sectors and, of course, farmers themselves. Public agricultural extension services have traditionally played the role of linking farmers to technology.

Agricultural innovation is a process that takes a multitude of different forms, and, within this process, agricultural research and expertise are mobilised at different points in time for different purposes. This paper uses two key analytical principles to establish how research is actually put into use. The first, which concerns the configurations of organisations and their relationships associated with innovation, reveals the additional set of resources and expertise that research needs to be married to, and sheds light on the types of arrangements that allow this marriage to take place.