13 pages, via online journal, Purpose: This study examined knowledge sharing mechanisms in coffee IPs and their effect on actor linkages in four districts of Uganda.
Design/methodology/approach: Thirty one respondents from the public and private sector were interviewed using a qualitative approach. Data were analyzed using the Atlas ti qualitative software version 7.5.18 to generate themes for information sources, types and channels. Social network analysis was used to measure the actor centrality positions and influence in the IP network.
Findings: Results revealed seven main categories of actors in the Coffee IPs who shared information on coffee inputs, agronomic practices, processing and markets through three main channels. Level of cohesion was less than 10% which had negative implications on the knowledge flow, trust and collaboration among the actors. Influential positions were occupied by the processors and farmer leaders in IPs in the southern districts of Luwero and Rakai, while nursery operators were most influential in IPs of the western districts of Ntungamo and Bushenyi. Weak linkages within the social networks indicated that initiatives of the actors were fragmented, as each actor acted as an individual detached from the platform activities limiting inter-actor knowledge sharing.
Practical implications: Innovation intermediaries should focus on integrated systemic and innovative approaches to strengthen actor social linkages for knowledge sharing and better platform performance.
Theoretical implications: Actor positions and relationships in innovation networks are critical tenets for fostering knowledge exchange and performance. In an innovation platform, diverse actors are multiple sources for accessing information within a given social and institutional context.
Originality/value: The study contributes to existing debate and knowledge on institutional change in agricultural innovation systems.
16 pages, via online journal, Purpose: This study elucidates on how faculty supervision support to students during farm placements and other facilitating conditions influence farmer learning in the student-centred university outreach.
Methodology/Design/Approach: Cross-sectional data were collected from a sample of 283 farmers who had previously hosted students of Gulu University in the student-to-farmer university outreach. Structural equation modelling was used to analyse how faculty supervision support to students in combination with other facilitating conditions affect the formation of intentions for learning and actual farmer learning behaviour.
Findings: Faculty supervision support in the student-to-farmer outreach was found to significantly influence formation of intentions for learning (β = 0.380; t = 5.263; P < .01) and actual farmer learning behaviour (β = 0.182; t = 2.081; P < .05).
Practical implications: Faculty supervision support to students is critical to fostering lasting learning relationships in university outreach. Thus, it needs to be a part of the transformation agenda of the higher education sector for improved community linkages and innovation.
Theoretical implications: Empirical data obtained from the context of student-centred university outreach is used to extend the model of facilitating conditions.
Originality/Value: The study addresses how faculty supervision support together with farmers’ perception of student attitudes and the value of the learning content influence farmers’ learning behaviour during university outreach.
