Agricultural Extension and Adaptation Under the “New Normal” of Climate Change

Simpson, Brent M.; Burpee, Gaye

doi:10.1007/978-3-642-40455-9_121-1

Cited by 1 publication

(1 citation statement)

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“…In order to minimize information and communication asymmetries, as well as the vicious loop of poverty, players in the agriculture supply chain must share intelligence (FAO, 2011). Extension and advisory services have a decisive part to play in connecting farmers with sources of innovative information and tools, and in helping behaviour alteration toward adapted practices among farming populaces (Simpson and Burpee, 2014). Digital breakthroughs have made it feasible to transmit agro-based information more efficiently, to a wider audience, and with more veracity (World Bank, 2017).…”

Section: Introductionmentioning

confidence: 99%

Factors Influencing Behavioural Intention of Farmers to Use E-Learning Module on Climate-Smart Horticulture in Arunachal Pradesh

Koyu¹,

Singh²,

Singh³

2021

IJEE

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The study developed a theoretical model based on the technology acceptance model (TAM) called the e-learning acceptance model (ELAM) during 2020. Using structural equation modelling (SEM), farmers’ behavioural intention to use (BIU), an e-learning module on Climate-Smart Horticulture was investigated. The facilitating condition, followed by perceived ease of use, attitude toward e-learning, and self-efficacy, was found to be the most influential predictor of behavioural intention to use an e-learning module by the structural equation model (SEM). The endogenous variable BIU having R2 value of 0.62 indicated that the exogenous variables viz., FC (Facilitating Condition), PEU (Perceived Ease of Use), ATT (Attitude toward e-learning) and SE (Self-Efficacy) had jointly explained and predicted 62 per cent of accuracy on BIU in ELAM.

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Section: Introductionmentioning

confidence: 99%