Extending Diffusion of Innovations Theory for Continued Adoption of AgriculturalICTs Among Small and Middle-Level Farmers in Uganda

Nassanga Sharifa; Dr. Erick Oteyo Obare; Dr. Samuel Oonge

doi:10.36948/ijfmr.2026.v08i04.86129

Extending Diffusion of Innovations Theory for Continued Adoption of AgriculturalICTs Among Small and Middle-Level Farmers in Uganda

Author(s)	Ms. Nassanga Sharifa, Dr. Erick Oteyo Obare, Dr. Samuel Oonge
Country	Uganda
Abstract	The sustained use of agricultural Information and Communication Technologies (ICTs) remains uneven among small-and middle-level farmers despite the potential of digital tools to improve access to information, market participationand farm decision-making. This study develops and tests an extended Diffusion of Innovations (DOI)-informedframework that treats Continued User Adoption as a distinct behavioural outcome and examines two additionalrelationships: Knowledge to Confirmation and Confirmation to Implementation. A sequential explanatory mixed-methods design was used. Survey data from 380 farmers in Luweero, Isingiro and Mbarara districts of Uganda wereanalysed using Partial Least Squares Structural Equation Modelling (PLS-SEM), and qualitative interviews withfarmers, ICT developers and agricultural extension officers were analysed thematically. All six structural paths werepositive and significant: Knowledge to Persuasion (β = .653, p < .001), Knowledge to Confirmation (β = .598, p <.001), Persuasion to Decision (β = .709, p < .001), Decision to Implementation (β = .490, p < .001), Confirmation toImplementation (β = .407, p < .001), and Implementation to Continued User Adoption (β = .759, p < .001). Decisionand Confirmation jointly explained 73.2% of the variance in Implementation, while Implementation explained 57.6%of Continued User Adoption. The qualitative findings converged with the structural results and identified stage-specificdeterminants across the adoption process. The study contributes by distinguishing continued adoption fromconfirmation and by conceptualising confirmation of anticipated value as a reinforcing mechanism that can facilitatefuller implementation. The findings offer a stage-based basis for designing agricultural digitalisation interventions inUganda.
Keywords	Agricultural ICTs; Diffusion of Innovations; Continued User Adoption; PLS-SEM; Technology Adoption; Uganda
Field	Computer
Published In	Volume 8, Issue 4, July-August 2026
Published On	2026-08-23
DOI	https://doi.org/10.36948/ijfmr.2026.v08i04.86129

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Extending Diffusion of Innovations Theory for Continued Adoption of AgriculturalICTs Among Small and Middle-Level Farmers in Uganda

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