ABSTRACT
In this digital era, several ministries in Indonesia facilitate learning technology as a strategy in improving the competence of the State Civil Apparatus. This is done to support the “Smart ASN 2024” program, which is in line with one of the government's priorities in the “Making Indonesia 4.0” roadmap, to improve the quality of human resources. The availability of learning technologies has great potential for organizations, but several studies have shown that learning technologies exhibit high failure rates. Therefore, it is fundamental to understand the factors that lead to increased acceptance for the maximum use of learning technology. This study conducted factor analysis based on the variables in the Extended Theory of Acceptance and Use of Technology (UTAUT2) and Technology to Performance Chain (TPC) models, which have been proven that these two models can explain better technology acceptance than if only one of them was used separately. In this study, Learning Value variable was used as a substitute for Price Value in the UTAUT2 model. This research is expected to add insight and become a reference for the development of learning technology and can be a reference for further research.
