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The study aims to synthesize findings on farmers' acceptance of digital technologies using the technology acceptance model.

Understanding farmers’ acceptance of digital technologies: a meta-analytic structural equation modeling approach based on the technology acceptance model

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The study aims to synthesize findings on farmers' acceptance of digital technologies using the technology acceptance model.
Applied a two-stage meta-analytic structural equation modeling approach.
Synchronized 53 correlation matrices from 33 studies involving 13,660 farmers.
Evaluated the roles of perceived ease of use, perceived usefulness, and external variables in acceptance.
Perceived ease of use has a weak effect on behavioral intention, challenging TAM assumptions.
Perceived usefulness consistently predicts attitude and influences acceptance.
External factors like facilitating conditions and social influence strengthen TAM pathways.
Type of digital technology does not significantly moderate TAM relationships.
Identified a persistent intention–use gap in actual technology use despite positive behavioral intentions.

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Meta-analysis reveals farmers evaluate digital technologies based on perceived value and supporting conditions, questioning TAM assumptions.

Gouroubera et al. (2026) studied this question.

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Meta-analysis reveals farmers evaluate digital technologies based on perceived value and supporting conditions, questioning TAM assumptions.