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.

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. It provides a framework to help analyse the sorts of innovation management tasks that are becoming important. This framework distinguishes four elements of innovation management: (i) Functions (ii) Actions (iii) Toolsand (iv) Organisational Format.

Agricultural innovation invariably involves a whole 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. There is now a very large conceptual and empirical literature that reveals agricultural innovation not as process of invention driven by research, but as a process of making novel use of ideas (old and new) with the specific intention of adding social, economic and/or environmental value.

The CGIAR is currently in a state of transition from its historical role in addressing defined agricultural technology problems, to engagement with strategic partnerships addressing systemic change challenges of the type defined by the Sustainable Development Goals (SDGs). This review explores good practice in multi-stakeholder partnerships (MSPs). Its purpose is to assist the CGIAR in identifying effective practices and strategies in the rapidly evolving context of stakeholders and global development initiatives.

The evidence base on agri-food systems is growing exponentially. The CoSAI-commissioned study, Mining the Gaps, applied artificial intelligence to mine more than 1.2 million publications for data, creating a clearer picture of what research has been conducted on small-scale farming and post-production systems from 2000 to the present, and where evidence gaps exist.

A range of approaches and financial instruments have been used to stimulate and support innovation in agriculture and resolve interlocking constraints for uptake at scale. These include innovation platforms, results-based payments, value chain approaches, grants and prizes, incubators, participatory work with farmer networks, and many more.

Innovation for sustainable agricultural intensification (SAI) is challenging. Changing agricultural systems at scale normally means working with partners at different levels to make changes in policies and social institutions, along with technical practices. This study extracts lessons for practitioners and investors in innovation in SAI, based on concrete examples, to guide future investment.

A huge increase in investment in innovation for agricultural systems is critical to meet the Sustainable Development Goals and Paris Climate Agreement. Most of this increase needs to come from reorienting existing funding for innovation. However, understanding whether an investment will fully promote environmentally sustainable and equitable agri-food systems can be difficult.