Modeling of intentions for remote work in partial time in provincial areas

Abstract

The purpose of this study is to model the relationship between the intention of remote work and its factors in the provincial areas. In particular, since the popularization of remote work is lower in provincial areas than in metropolitan areas, we focus on partial remote work, which is relatively easy to implement. Therefore, using remote work intention data, we construct not only a model that describes the relationship between the frequency of remote work and those factors, but also a partial remote work model. In the partial remote model, various machine learning models are applied to compare the learning accuracy. As a result, the RF model was able to train almost accurately, and the SVM model was also able to obtain high learning accuracy.