本研究藉由資料庫系統,整合不同部門、不同專業、不同層級的訓練成效,運用資料探勘,發掘有用的資訊,提供決策者檢視訓練成效、評估人力資源發展的需求,並針對須發展的目標,做出最有效的評估與計畫,以達到提升整體訓練成效的目的。研究結論:(1)網頁式資料庫系統,可有效管理、運用訓練成效。(2)運用集群分析與關聯規則二種不同的方法,經過比較、分析後,可以在一致的訓練目標下,提供合適的資訊給各階層作為訓練的參考。(3)在人力、時間、場地等資源有限的情況下,可參考訓練項目的關聯規則,採用抽測部份項目取代全部檢測的方式,既不浪費人力、時間的資源又可達到訓練驗收的效果。
The study integrates training effectiveness data of different departments, specialties, and ranks by a database system. Furthermore, we apply data mining to find useful information then provide decision makers and senior managers to evaluate HR development and requirement of training. Finally, we can make effective evaluations and plans to upgrade the whole training effectiveness for the goal. Findings: (1) The web data system is valid for managing and applying training effectiveness. (2) After comparing with Cluster Analysis and Association Rule Model, the two different approaches could provide appropriate information as references to each group in the consistent training goal. (3) With the restriction on manpower, time, and spaces, we can make a selective examination of certain items instead by referring the Association Rule Model of training items.