This paper argues that impact assessment research has not made more of a difference because the measurement of the economic impact has poor diagnostic power. In particular it fails to provide research managers with critical institutional lessons concerning ways of improving research and innovation as a process. Paper's contention is that the linear input-output assumptions of economic assessment need to be complemented by an analytical framework that recognizes systems of reflexive, learning interactions and their location in, and relationship with, their institutional context. The innovation systems framework is proposed as an approach where institutional learning is explicit. Three case studies of recent developments in international agricultural research are presented to illustrate these points. In conclusion is suggested that the innovation systems framework has much to offer research managers wishing to monitor and learn new ways of addressing goals such as poverty alleviation.
This article presents a different dimension of the innovation systems approach, going beyond analysis and shedding light on how these processes can be facilitated in practice. This is based on 20 years' experience with innovations systems. The focus is on...
Intersectoral partnerships mirror the changing nature of the relationships among state, business and civil society organizations, and are often considered innovative mechanisms to overcome single actor failure in the context of globalization. This article analyzes the capacity of partnerships to...
Discussion of the processes that led Unilever to develop and implement a corporate sustainability strategy working with multiple stakeholders.Major learning points include: 1) interactions with stakeholders are crucial to secure strategic resources in developing countries; 2) developing multi-stakeholder platforms must...
Grant funds specifically targeted to smallholder farmers to facilitate innovation are a promising agricultural policy instrument. They stimulate smallholders to experiment with improved practices, and to engage with research, extension and business development services providers. However, evidence on impact and...
The increasing complexity of technology development and adoption is rapidly changing the effectiveness of scientific and technological policies. Complex technologies are developed and disseminated by networks of agents. The impact of these networks depends on the assets they command, their...