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).

Like other developing countries, Pakistan is under severe economic pressure and striving to boost entrepreneurial orientation for achieving growth through minimal depletion of natural resources. In order to facilitate widespread and successful adoption of green entrepreneurial farming, it is crucial to address barriers inhibiting the uptake of green entrepreneurial activities in farming for the sustainability of natural resources as well as food provision. To this end, the present study aimed to investigate barriers in the adoption of green entrepreneurial farming in Pakistan.

This methodological framework is based on Life Cycle Assessment (LCA) and multi-criteria assessment methods. It integrates CSA-related issues through the definition of Principles, Criteria and Indicators, and involves farmers in the assessment of the effects of CSA practices. To reflect the complexity of farming systems, the method proposes a dual level of analysis: the farm and the main cash crop/livestock production system. After creating a typology of the farming systems, the initial situation is compared to the situation after the introduction of a CSA practice.

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.

Many smallholder farmers in developing countries grow multiple crop species on their farms, maintaining de facto crop diversity. Rarely do agricultural development strategies consider this crop diversity as an entry point for fostering agricultural innovation. This paper presents a case study, from an agricultural research-for-development project in northern Ghana, which examines the relationship between crop diversity and self-consumption of food crops, and cash income from crops sold by smallholder farmers in the target areas.

In this paper, the authors describe the adaptation and validation of a project-level WEAI (or pro-WEAI) that agricultural development projects can use to identify key areas of women’s (and men’s) disempowerment, design appropriate strategies to address identified deficiencies, and monitor project outcomes related to women’s empowerment. The 12 pro-WEAI indicators are mapped to three domains: intrinsic agency (power within), instrumental agency (power to), and collective agency (power with). A gender parity index compares the empowerment scores of men and women in the same household.

We assess a new method for assessing AC at a sectoral level and operationalize AC measurement based on an SLA to assess the ability of the European agricultural sector to adapt to extreme droughts.

Agricultural research for development has made important contributions to poverty reduction and food security over the last 40 years. Nevertheless, it is likely that both the speed of global change and its impacts on natural and socio-economic systems are being under-estimated. Coupled with the moral imperative to justify the use of public resources for which there are multiple, competing claims, research for development needs to become more effective and efficient in terms of contributing towards longer-term development goals.

In this paper, introduction presents the problem statement. The second chapter gives a brief description of the Smart Farming system. The third chapter provides an overview of ontologies. The fourth chapter describes implementation of the knowledge base in the Smart Farming system. The fifth chapter presents the main functions of the ontology editor for working with the knowledge base. Conclusions and prospects of further development of knowledge base in crop production are also given