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Agricultural Knowledge and Information Systems: A Network Analysis AgEcon
Kaine, Geoff; Doyle, Brendan; Reeve, Ian; Lees, Jim.
Röling and others argue that research and extension should not be seen as separate processes involving distinct institutions which must somehow be linked. Rather, scientists, specialists, extension workers, consultants and producers should be seen as participants in a single agricultural knowledge and information system (AKIS). This perspective on research, extension and adoption as activities that occur within a network offers new insights into the way in which technology transfer occurs, and new ideas as to how to increase the rate of adoption of new ideas and techniques in farming. In this study, we use network management theory and applied network analysis to operationalise the concept of an AKIS and to test the relationships between system...
Tipo: Presentation Palavras-chave: Agricultural extension; Technology transfer; Network analysis.; Research Methods/ Statistical Methods.
Ano: 1999 URL: http://purl.umn.edu/123823
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