LAUSR

In Agricultural Extension Services (AES), radio plays a role in situational problems like insufficient information delivery. Radio not only helps farmers in acquiring information, but also creates a tendency for farmers to deal with informational interaction and to stay connected with the problem. For that reason, under structural governance reforms such as decentralisation, radio is expected to have an influence on farmers’ actual perception and opinion in minimising the problem when used in the AES informational delivery process. Drawing upon the Situational Theory Problem Solving (STOPS), this study seeks to determine the role of radio in problem solving (RIPS) on the perceptual situation variables which include problem recognition, constraint recognition, involvement recognition, and referent criterion towards solving insufficient information delivery. A total of 400 farmers within AES or the “Rice Bowl” area of Northern Malaysia participated in answering the questionnaire. Data was analysed using the Structural Equation Modelling (SEM). The findings reveal that RIPS plays an important role in influencing farmers’ problem recognition, involvement recognition, and referent criterion apart from reducing their constraint. As a result, all of the four hypothesised relationships proposed in the study’s conceptual model were significant and supported. Hence, RIPS can now be considered as a joint element in public communication strategy to deal and solve insufficient information delivery for Malaysia’s AES. Keywords : Radio in Problem Solving (RIPS), Situational Theory of Problem Solving (STOPS), insufficient information delivery, Agricultural Extension Services (AES), farmers.