2021
DOI: 10.1108/jadee-04-2021-0090
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Can technology readiness predict farmers’ adoption intention of the e-AgriFinance app?

Abstract: PurposeThis research aims to examine the effect of the two dimensions of technology readiness – motivator and inhibitor on behavioural intention to adopt a mobile agricultural finance app called e-AgriFinance app among the farmers in Sarawak, Malaysia.Design/methodology/approachData were collected from 337 farmers who cultivated the 4 major crops in Sarawak – oil palm, rubber, cocoa and pepper using a face-to-face questionnaire survey. Collected data were analysed using partial least squares structural equatio… Show more

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Cited by 12 publications
(7 citation statements)
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“…The attitude and perceived ease of using the technology are the two predictors of behavioral intentions and, consequently, lead to the actual behavior (Naspetti et al. , 2017; Omar et al. , 2023).…”
Section: Theoretical Frameworkmentioning
confidence: 99%
See 1 more Smart Citation
“…The attitude and perceived ease of using the technology are the two predictors of behavioral intentions and, consequently, lead to the actual behavior (Naspetti et al. , 2017; Omar et al. , 2023).…”
Section: Theoretical Frameworkmentioning
confidence: 99%
“…The TAM is a modified version of the TRA that proposes two predictors of the attitude toward the behavior: the perceptions of usefulness and ease of using the technology. The attitude and perceived ease of using the technology are the two predictors of behavioral intentions and, consequently, lead to the actual behavior (Naspetti et al, 2017;Omar et al, 2023). The DOI theory assesses technological adoption by looking at the rate of innovation adoption, i.e.…”
Section: Theoretical Framework 21 Adoption and The Theory Of Planned ...mentioning
confidence: 99%
“…As a result of its ability to operate with small datasets, its convergence with minimal theory, and its high prediction accuracy, PLS-based SEM has been regarded as preferable to other SEM strategies, including covariant base (CB-SEM), GSCA, and NEUSREL. Several studies using similar dimensions to represent farmers’ adoption behavior have used PLS-SEM (such as Wang et al [ 70 ], Sarkar et al [ 71 ], and Omar et al [ 72 ]). In SEM, the indicators are usually aligned in two forms, reflective and formative, to determine the main framework of the measurement model.…”
Section: Methodsmentioning
confidence: 99%
“…Undeniably, with the growing role of agriculture in the Tanzanian economy, of late, a number of information and communication technologies (ICTs) are being tapped by the stakeholders in the agrarian domain. For instance, farmers are becoming tech-savvy and adopting ICT tools for their purposes (Omar et al. , 2021).…”
Section: Introductionmentioning
confidence: 99%