Agricultural information is transferred through social interactions; therefore, ties to agricultural informants and network structures within farmers’ local neighborhoods determine their information-gathering abilities. This paper uses a spatial autoregressive model that takes account of spatial autocorrelation to examine such network connections, including friendship networks and advice networks, upon farmers’ knowledge-gathering abilities during formal agricultural training. We found that peer advice networks are important to support knowledge-gathering activities, while friendship networks are not. Further examination of network structures confirms that farmers who occupy a central position in their local neighborhood networks are found to perform better in learning outcomes to some extent, indicating that local network position is positively related to problem-solving ability in an unknown environment outside their locale
This study aims to determine the factors that influence group dynamics, and to find out whether there is a relationship between agricultural extension programs to farmer group dynamics. Data analysis method used is a Likert Scale and analyzed descriptively qualitatively....
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....
The advancement of agriculture sector in one region cannot be separated from the role of agricultural extension in the region. To cover the deficiency of agricultural extension agents, self-supporting extension agents are recruited from farmers or private parties. This study...
The aim of this study was to explore the interactions that exist among agricultural stakeholders in the southwestern highlands of Uganda as a way of identifying opportunities and gaps for operation of Innovation Platforms (IPs) under the proof of concept...
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,...