2023
DOI: 10.1108/jadee-05-2022-0087
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Modelling the adoption of agro-advisory mobile applications: a theoretical extension and analysis using result demonstrability, trust, self-efficacy and mobile usage proficiency

Abstract: PurposeThis paper aims to explore the determinants of intention towards the use of agro-advisory mobile applications by extending the technology acceptance model (TAM) with addition of the following constructs: result demonstrability (RD), trust, self-efficacy (SE) and mobile usage proficiency (MUP).Design/methodology/approachThe study employed a survey on farmers (n = 446), which was analysed through structural equation modelling using Analysis of Moment Structures (AMOS).FindingsThe results show that RD and … Show more

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Cited by 8 publications
(1 citation statement)
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References 103 publications
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“…The mobile applications (apps) industry is constantly evolving, with new advancements and trends appearing on a regular basis [1][2][3]. There has been a recent trend toward developing more advanced secure apps that incorporate artificial intelligence [4][5][6][7].…”
Section: Introduction 1general Contextmentioning
confidence: 99%
“…The mobile applications (apps) industry is constantly evolving, with new advancements and trends appearing on a regular basis [1][2][3]. There has been a recent trend toward developing more advanced secure apps that incorporate artificial intelligence [4][5][6][7].…”
Section: Introduction 1general Contextmentioning
confidence: 99%