進化計算手法を用いたデータマイニングによるグローバル経営人材育成のための海外派遣適性評価システム

カテゴリ: 論文誌(論文単位)

グループ名: 【C】電子・情報・システム部門

発行日: 2014/05/01

タイトル(英語): Expat Assessment System for Global Management Personnel Training Utilizing Data Mining Based on Evolutionary Computation

著者名: 松村　幸輝（東京福祉大学大学院社会福祉学研究科），衣笠　智（鳥取大学大学院工学研究科），白木　三秀（早稲田大学大学院経済学研究科）

著者名(英語): Koki Matsumura （Graduate school of Social Welfare, Tokyo University of Social Welfare）, Satoshi Kinugasa （Graduate school of Engineering, Tottori University）, Mitsuhide Shiraki （Graduate school of Economics, Waseda University）

キーワード: グローバル人材育成，進化計算手法，人的資源管理，海外派遣適性評価，相関性　　Global Personnel Training，Evolutionary Computation，Human Resource Management，Expat Assessment System，Correlation

要約(英語): This paper proposes the expat assessment system for global management personnel training utilizing the data mining employing evolutionary computation. This study follows the three steps. First step is to research those overseas temporary staff by direct hearing and having them answer the questionnaires. The second step is to make the data base with the results acquired from the step one. The third step is to construct the system to assess the prospective staff's aptitude or adaptability. The system would enable to promote the efficiency of assessment and to be useful in their training. This expat assessment system is built with the decision tree of evaluation standard based on the assorting problem solving method. For designing the non-terminal nodes of the decision tree, a new method is proposed utilizing the idea of the association rules, which is a powerful method in data mining. This is done to find out direct factors related to aptitude or suitability for overseas staff. The terminal nodes of the decision tree are to be optimized by Genetic Algorithm (GA) regarding a series of terminal nodes as the individuals forming the linear structure. As a result, the significant factors are found, which are strongly related to aptitude, adaptability and likeliness to be successful overseas. This research has revealed, by applying the system in practice, actual aptitude, skills and personalities required for expats.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.134 No.5 （2014） 特集：機械学習手法に基づく設備診断・監視技術

本誌掲載ページ: 718-728 p

原稿種別: 論文／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/134/5/134_718/_article/-char/ja/