資料探勘應用於公務人員360度職能評鑑之分析與教育訓練策略

The Analysis of Data Mining on Government Employee 360-Degree Competency Assessment and Educational Training Strategy

資料探勘(Data Mining)技術被廣泛運用在各領域，以從大量的資料中探勘有價值的資訊與知識。再者，近幾年組織越來越重視人力資源職能的管理與發展，但大部分相關文獻在探討職能模型的建構或訓練成效的評估，鮮少以實際的職能資料進一步探討個人或組織成員職能的關聯與趨勢。因此，本研究目的主要以「國內某直轄市政府人事人員職能評鑑」之360 度職能評鑑模式，呈現個人職能現況、職能落差情形及職能發展需求，並建立教育訓練需求預測模型。本研究結果如下：(1)透過360 度職能評鑑模式之分析結果，找出職能落差和職能概況，並依此發展教育訓練需求順位；(2)以決策樹建立教育訓練需求預測模型，模型準確率皆達70%以上。最後本研究提出相關教育訓練策略方案，未來可提供決策者評估組織最適合之教育訓練規劃及目標，以達到組織提升整體精實人力資源教育訓練的目的。

Data Mining has been widely used in various fields, exploring the lots of valuable information and knowledge. Organizations are attach importance to the management and development for human resource on competency, but most of the references are explored the construction of competency model or the evaluation of training achievement, the competency data are rarely used to explore the association and the trends on individuals' and organizational members' competency. This study is aimed to explore the competency gap between self-and others- evaluation analysis, and build the training needs predicting models by using Data Mining. The data collected from the Taiwan municipalities government 360-degree competency assessment. The results show that (1) using 360 degree competency assessment model to find out the competency gap and competency status for developing the sequence of educational training needs.(2)we build the training needs predicting models, the accuracy of the models are above 70%.This results could provide the reference for planning the educational training strategy, in order to achieve the purpose of the organization to improve the overall lean human resources training.