2020
DOI: 10.1057/s41287-020-00284-x
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Determinants of Small-Scale Farmers’ Intention to Use Smartphones for Generating Agricultural Knowledge in Developing Countries: Evidence from Rural India

Abstract: Access to and usage of smartphones for agricultural purposes amongst small-scale farmers in rural areas of developing countries is still limited. Smartphones may provide an opportunity to develop farmers' capacities with specific applications offering fast access to continually updated and reliable information. This study develops a framework to investigate the cognitive and affective behavioural drivers of smallholder farmers´ intention to use a smartphone in a developing country context. For this, survey dat… Show more

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Cited by 28 publications
(18 citation statements)
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“…After confirming convergent validity, discriminant validity was then evaluated. To avoid problems caused by multicollinearity, it is essential for any study that involves latent constructs to evaluate the discriminant validity of the study [ 92 , 93 ]. In psychology, discriminant validity concerns whether constructs or measures that are not possibly related are uncorrelated [ 94 ].…”
Section: Resultsmentioning
confidence: 99%
“…After confirming convergent validity, discriminant validity was then evaluated. To avoid problems caused by multicollinearity, it is essential for any study that involves latent constructs to evaluate the discriminant validity of the study [ 92 , 93 ]. In psychology, discriminant validity concerns whether constructs or measures that are not possibly related are uncorrelated [ 94 ].…”
Section: Resultsmentioning
confidence: 99%
“…We included 19 studies that reported users' adoption of digital health care (Appendix 3 in the Online Supplementary Document), reporting multiple factors that affected usage. Trust was emphasised as influencing adoption: both trust in the intervention (the degree to which the participant believed the digital intervention was accurate or reliable), and trust in the caller (degree to which people believed the call or message was genuine (as opposed to marketing) [45,46,[87][88][89][90][91][92]. Other factors included relevance of the information, gender, age, literacy, occupation, ICT skills/experience, and belief in ability to use the technology (the Harvest plot, Figure 5).…”
Section: End Users' Adoptionmentioning
confidence: 99%
“…From another perspective, it is pointed out that support from the government plays an essential role in motivating farmers to engage with ECPs. This support is not only about introducing technology to farmers but also helps farmers gain more knowledge, eliminating geographical distances (Landmann et al, 2020 ). In short, users’ intention to use smart applications can come from the perception of economic and non-economic benefits, the experience of use, and support from the government and experts.…”
Section: Literature Reviewmentioning
confidence: 99%