Evaluation of Rice Farmers' Acceptance of a Knowledge Management System Using the Technology Acceptance Model

This study evaluates the level of acceptance of a Knowledge Management System (KMS) designed to support intelligent rice farming practices, using the Technology Acceptance Model (TAM).Data from 315 rice farmers in Afere, Ghana, were analysed using Structural Equation Modelling (SEM) to determine how perceived usefulness (PU) and perceived ease of use (PEOU) influence attitudes toward use (ATU), behavioural intention to use (BIU), and actual system usage (ASU).The findings demonstrate that PEOU significantly impacts PU and ATU, which subsequently drive BIU and ASU.Findings indicate that enhancing usability and fostering positive user attitudes can significantly increase KMS adoption by rice farmers.This study provides valuable insights for improving the effectiveness and acceptance of technologydriven solutions in agricultural communities.