A Study Using Genetic Algorithm and Support Vector Machine to Find Out How the Attitude of Training Personnel Affects the Performance of the Introduction of Taiwan TrainQuali System in an Enterprise

Abstract

After entering knowledge economy era, human resource has become one of the most important manufacturing elements of an enterprise, hence, human resource incubation has become one of the important jobs of enterprise development. However, most of the enterprises in Taiwan do not have clear assessment standard and analysis mechanism on educational training, which usually leads to bad implementation results. Therefore, in order to enhance enterprise’s training-implementing ability, Taiwan has designed a set of Taiwan TrainQuali System (TTQS) using a training quality score card to perform the assessment and audit. It is important to understand whether the introducing TTQS mechanism to an enterprise can enhance business operation performance and enterprise’s competitiveness, and it is also important to know also if the entire training-implementing attitude of the training-implementing personnel will affect the assessment and audit result of an enterprise. This study has investigated, through the attitude transition of training-implementing personnel who have participated in the learning curriculum, if the attitude transition will affect the current status of an enterprise and what kind of benefits it will bring. In this study, Genetic Algorithm is associated with Support Vector Machine technique to perform data mining and analysis. The experimental results show that within an enterprise, enterprise supervisor and training personnel of different standing points will have different thinking on the introduction of TTQS, and there is also significant difference on the educational training attitude too. For the difference of entire attitude change before and after the participation of TTQS curriculum, the data of the training personnel are better than that of the enterprise supervisor.