文章基本信息

标题：[title in Japanese] Discovery of the Evaluation Measure from Mixed Data 360-degree Feedback in Personnel Evaluation
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作者：Hidemasa Asahi ; Yukio Ohsawa
期刊名称：人工知能学会論文誌
印刷版ISSN：1346-0714
电子版ISSN：1346-8030
出版年度：2005
卷号：20
期号：3
页码：167-176
DOI：10.1527/tjsai.20.167
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.
关键词：360-degree feedback ; chance discovery ; KeyGraph ; trust