Predicting the Intention to Use an E-learning Module on Climate-smart Horticulture

The recent surge of information and communication technologies (ICTs) has changed nearly every business, including horticulture. Farmers can use climate information and ICT-based agro-advisory services to help them make seasonal decisions, technology choices and marketing strategies. Such drastic changes are upending traditional horticultural practices, and introducing a plethora of new opportunities and challenges. This study aimed to identify the factors influencing farmers’ intention to use an e-learning module. The study included 137 respondents from two districts in Arunachal Pradesh, North East India. The technology acceptance model was used as a basis for the study. Dijkstra–Henseler’s rho, Jöreskog’s rho, Cronbach’s alpha, average variance extracted and Heterotrait–Monotrait ratio of correlations were used to assess the reliability and validity of scale. ADANCO software was used to perform PLS–SEM, which showed that facilitating conditions and subjective norms had a significant positive effect on the intention to use an e-learning module. The proposed model had a good fit.