Kalanzi, FredBirungi Kyazze, FlorenceIsubikalu, ProssyKiyingi, IsaacJustus Baguma Orikiriza, LawrenceOkia, ClementGuuroh, Reginald Tang2023-03-122023-03-122021Kalanzi, F., Kyazze, F. B., Isubikalu, P., Kiyingi, I., Orikiriza, L. J. B., Okia, C., & Guuroh, R. T. (2021). Influence of socio-technological factors on smallholder farmers’ choices of agroforestry technologies in the eastern highlands of Uganda. Small-scale Forestry, 20, 605-626.https://link.springer.com/article/10.1007/s11842-021-09483-8https://nru.uncst.go.ug/handle/123456789/8158remedy to counter declining farm productivity. Over the last decades, researchers and other actors have promoted several agroforestry technologies to improve farm productivity. Sometimes, the promotion message provided through extension assumes a homogenous smallholder farmers’ context. However, smallholder farmers’ social and farm contexts are heterogeneous. Smallholder farmers make different choices of which technologies fit their contexts. A range of factor categories influence and (re)shape choice decisions of smallholder farmers. In this paper, the authors seek to articulate the importance of socio-technological factors shaping smallholder farmers’ choices of specific agroforestry technologies on their farms. Knowledge of these factors provides insights that inform the design of refined farmer contextbased extension messages, consequently enhancing the scaling-up of agroforestry technologies. The Decomposed Theory of Planned Behaviour was used as the main framework to understand smallholder farmers’ choice decisions among agroforestry technologies. We used a mixed methods approach. Quantitative data were collected from 277 randomly selected farming households in the eastern highlands of Uganda. Qualitative data that complemented the quantitative were collected using focus group discussions. An alternative-specific conditional logit model was used to model smallholder farmers’ agroforestry choices. Results indicated that the number of tree species desired by the farmer and the perceived value of the technology were the most critical factors that commonly influence smallholder farmers’ choice of agroforestry technologies. The influence of other factors such as gender, the number of training sessions attended, total land owned, peer influence and perceived behavioural control were technology-specific, suggesting the need to tailor agroforestry interventions to specific farmer categories.enChoice decisionsFarm productivityConditional logitFocus groupsDecomposed theoryArticle