出版社：The Japanese Society for Artificial Intelligence
摘要：In this study, analysis has been executed on the free-description answers in the questionnaire of 360-degree feedback in personnel evaluation in an existing company. The aim of this analysis was to obtain a new evaluation index for the competencies of company managers, on which the company is expected to find a way of growth by enforcing innovative managers. We analyzed and visualized the mixture of textual and the categorical data from questionnaire results in the 360-degree feedback, and followed the presented process of chance discovery. In the case we used KeyGraph, the importance of managers' "trustworthiness" was discovered first. Then, following the process, we focused attention to managers' trustworthiness. That is, we executed a new 360-degree feedback with additional questions regarding managers' trustworthiness, in order to confirm the validity of the measurement. As a result, it turned out that the correlation of a manager's trustworthiness with his/her actions to surroundings, and with the business performances were high. This discovery presented with a useful measure for effective restructuring, leading to the growth of the company, and is currently being introduced to their personnel evaluations. This new process on the mixture of textual and categorical data was essential to this novel application of chance discovery to personnel evaluation. The presented success can be regarded as due to the human-centric process of mining scenarios from the mixed data.
