This article summarizes current research on public entrepreneurship and presents a detailed case study of a successful entrepreneurial change in a public sector organization. A five-step change process used to enhance entrepreneurial behaviors was implemented in a public sector organization and the qualitative and quantitative results demonstrated substantial performance improvements over 4 years (i.e., quantitative performance in some areas was more than 10 times greater).

Historically, farmers have been some of the most innovative people in the world. However, agriculture lags behind other sectors in its uptake of new information technologies for the control and automation of farming systems. In spite of decades of research into innovation, generally we still do not have a good understanding as to why this is the case. This paper reviews two theories of innovation and offers a new approach to thinking about agricultural ICT (e-Agriculture). It firstly explores the problem of ICT adoption in agriculture.

Much has been written on the determinants of technology adoption in agriculture, with issues such as input availability, knowledge and education, risk preferences, profitability, and credit constraints receiving much attention. This paper focuses on a factor that has been less well documented: the differential ability of households to take on risky production technologies for fear of the welfare consequences if shocks result in poor harvests. Building on an explicit model, this is explored in panel data from Ethiopia. Historical rainfall distributions are used to identify consumption risk.

Internet of Things (IoT) technology plays an important role in advancing the transformation of labor-intensive traditional agriculture into data-driven smart farming by providing technological and theoretical support to address the challenges of food shortages caused by rapid population growth, as well as the sustainable development challenges posed by the scarcity of natural resources due to climate warming. IoT smart farming is a multidisciplinary field encompassing agricultural knowledge, communication technologies, automation, artificial intelligence, and computing.

The purpose of this article is to investigate the functions of design process outputs (such as design briefs, scale models, visualizations, animations) as boundary objects in the implementation of novel agricultural production system concepts.

The agricultural innovation systems approach emphasizes the collective nature of innovation and stresses that innovation is a co-evolutionary process, resulting from alignment of technical, social, institutional and organizational dimensions. These insights are increasingly informing interventions that focus on setting up multi-stakeholder initiatives, such as innovation platforms and networks, as mechanisms for enhancing agricultural innovation, particularly in sub-Saharan Africa.

Drawn from numerous sources, including papers in this journal, this concluding paper synthesizes evidence on the relationship between agricultural research for development and poverty reduction, with particular emphasis on agri-food systems perspectives in shaping programs aimed at rural prosperity. Following the introduction in section 1, we revisit the ex ante set of 18 pathways in section 2 (which were laid out in our introductory paper for this SI), posing some critical questions: Can a manageable set of impact pathways be identified? How are they inter-related?

Oil palm (Elaeis guineensis) has become the most important oil crop throughout the world. The growing palm oil production was mainly based on the expansion of cultivated area into forest areas, causing serious environmental and social concerns. Increasing yields on existing plantations is a potential pathway to reduce the undesired ecological impacts of oil palm agriculture while enhancing its social benefits. Although oil palm production is still dominated by large private estates, smallholder farmers are increasingly engaging in its cultivation.

Maize production is of critical importance to smallholder farmers in Ghana. Various factors limit the productivityof smallholder maize farming systems undergirded by the lack of capital for critical investments both at the farmand at national policy levels. Using a value chain approach, this diagnostic study explains how a complex configuration of actor interaction within an institutionally and agro-ecologically challenged value chain leads tothe enduring absence of maize farming credit support.