This paper addresses the question how public-private partnerships (PPPs) function as systemic innovation policy instruments within agricultural innovation systems. Public-private partnerships are a popular government tool to promote innovations. However, the wide ranging nature of PPPs make it difficult to assess their effects beyond the direct impacts they generate for the partners.

This study identifies systemic problems in the New Zealand Agricultural Innovation System (AIS) that affect the ability of participants in the agricultural sectors to co-develop technologies. We integrate structural and functional streams of innovation system enquiry, gathering data through 30 semi-structured interviews with individuals in Government, industry and research. Interviews explored perceptions of the influence of actors, interactions, institutions, infrastructure, and market structure on the effectiveness of AIS functions.

In this article it is analysed the results of applying a co-innovation approach to five research projects in the New Zealand primary sector. The projects varied in depth and breadth of stakeholder engagement, availability of ready-made solutions, and prevalence of interests and conflicts. The projects show how and why co-innovation approaches in some cases contributed to a shared understanding of complex problems. Our results confirm the context-specificity of co-innovation practices

The paper specifically proposes a framework to detect and quantify non-linear consequences in response to progressively deteriorating chain fragility factors. The paper’s approach is a novel alternative to the traditional value chain ‘risk assessment’.

This paper makes a contribution to understanding the impact of relational trust, as embodied within bonding, bridging and linking social capital, on rural innovation. Using cases of multi-stakeholder groups who work together on shared problems it explores how social capital and different forms of trust (companion, competence and commitment) influence rural innovation processes. Looking at both the ‘bright’ and ‘dark’ side of social capital, our focus is on how social capital and trust constrain and enable the process of innovation.

This paper makes a contribution to understanding the impact of relational trust, as embodied within bonding, bridging and linking social capital, on rural innovation. Using cases of multi-stakeholder groups who work together on shared problems it explores how social capital and different forms of trust (companion, competence and commitment) influence rural innovation processes. Looking at both the ‘bright’ and ‘dark’ side of social capital, our focus is on how social capital and trust constrain and enable the process of innovation.

On-farm agricultural innovation through incorporation of new technologies and practices requires access to resources such as knowledge, financial resources, training, and even emotional support, all of which require the support of different actors such as peers, advisors, and researchers. The literature has explored the support networks that farmers use and the overall importance ranking of different support actors, but it has not looked in detail at how these networks may differ for different farmers.

This paper details the analytical framework used for developing a nested understanding of systemic innovation capacity in an AIS. The paper then introduces the two case studies, along with the data and methods of analysis, followed by a presentation of the results as timelines of configurations of capabilities at different levels of the AIS.

Digital agriculture is likely to transform productive processes both on- and off- farm, as well as the broader social and institutional context using digital technologies. It is largely unknown how agricultural knowledge providing organisations, such as advisors and science organisations, understand and respond to digital agriculture. The concept of ‘organisational identity’ is used to describe both initial understandings of, and emerging responses, to digital agriculture, which together show how organisations ‘digi-grasp’, i.e.

Growing empirical evidence suggests that innovation platforms can be effective in enhancing agricultural research impact by creating an enabling environment for scaling of innovations such as novel technologies, practices and busines models . However, efforts to understand how these innovation platforms operate to scale innovations are insufficient. Such knowledge is critical for improving the design of agricultural innovation systems, specifically within the context of a rising interest in the innovation platform approach to support the transformation of agriculture across Africa.