Behaviour and Satisfaction of Agricultural Extension Workers Towards the Impact of Usage Technical Guidance and Socialization Propaktani

Abstract

Abstract Most extension workers in Indonesia participated in the Technical Guidance and Socialization of the Corporate-Based Food Crop Area Development Program (BTS Propaktani) information system as one of the adoption innovation channels. The variables studied were Behavioral Intention, Usage Behavior, User Satisfaction, and Net Impact. The population of this study was agricultural extension workers in the Special Region of Yogyakarta, as many as 371 people, and the sampling method used accidental sampling of 133 extension workers. Data analysis is using Partial Least Squares-Structural Equation Modeling. The model estimator is the PLS Algorithm. This research used a higher-order construct on Behavioural Intention reflected by System Quality, Hedonic Motivation, and Personal Innovativeness. Use Behavior is reflected in the suitability of use. User Satisfaction is reflected in satisfaction with attending webinars and rewatching. The Net Impact of use is reflected in individual and organizational impacts. Behavioural Intention has a positive and significant effect on Usage Behavior of 0.581. Usage Behavior has a positive and significant effect on the net impact of 0.299. Usage Behavior has a positive and significant effect on user satisfaction of 0.395. User satisfaction has a positive and significant effect on the net impact of 0.621. Behavioural Intention significantly affects the net impact by mediating Usage Behavior and User Satisfaction with a path coefficient of 0.143. This study describes that Usage Behaviour, User Satisfaction, and Net Impact have Q2 values categorized as medium, small, and medium predictive relevance. The SRMR result is 0.054 <0.10, as the model fits the empirical data. Keywords: Agriculture extension, information system, behaviour intention, usage behaviour, user satisfaction, net impact