This paper develops a quantitative, graph-theoretic method for analysing systems of institutions. With an application to the agricultural innovation system of Azerbaijan, the method is illustrated in detail. An assessment of existing institutional linkages in the system suggests that efforts should be placed on the development of intermediary institutions to facilitate quick and effective flow of knowledge between the public and the private components of the system.
Cassava is an important source of food and income in Uganda. However, it cannot be marketed over a long time and distance thereby reducing incomes to growers and traders, leading to less investments and hence low productivity. This report describes the capacity building process and training activities that were done to enable the value chain actors adopt and adapt the pre-and post-harvest practices, and waxing and high relative humidity storage technologies in order to run a successful business enterprise .
Cassava is an important source of food and income in Uganda. However, it cannot be marketed over a long time and distance, thereby reducing incomes and food security to growers, consumers and traders. This in turn leads to less investments and hence low productivity. To address this challenge, the project of Extending the Shelf life of Fresh Cassava Roots for Increased Incomes and Postharvest Loss Reduction proposed to set up two packhouses in order to test their commercial viability.
This study describes the evolving context and organisational linkages in the agricultural innovation system of Azerbaijan and suggests ways to promote effective organisational ties for the development, distribution and use of new or improved information and knowledge related to agriculture. Graph-theoretic principles and concepts are employed to assess the existing organisational linkages vital for agricultural innovations.
This study introduces a framework for managing information flow in innovation systems. An organisation's capacity to receive information, to share it with others and to learn from it is assumed to be the key factor that shapes the flow patterns and, hence, the performance of the innovation system concerned. The framework is applied to characterise the information structure underlying the agricultural innovation system of Azerbaijan and to develop an information strategy for the system to accelerate the information flow.