許多研究文獻證實組織學習導致廠商或管理系統績效長期持續改善，組織所累積的學習效果能形成其中一項智慧資本。迄今，績效評估方法的資料包絡分析模式並未能處理縱貫性學習效果影響。因此，本計畫嘗試將學習效果融入資料包絡分析模式中，兩階段方式發展衡量模式。先將潛在學習效果以時間序列資料進行累積存量估計，並將其列入資料包絡分析差額量測模式(Slacks-based Measure, SBM)的投入項再進行相對效率評估。針對永續發展議題，本計畫將應用所發展之衡量模式研究垃圾處理與資源回收系統之組織學習效果對相對效率影響。 Many literatures document that the effect of organizational learning (OL) results in continuously improving the firm performance or management system over time. The accumulated learning effect may form as one of intellectual capital. Thus far, however, the static model of data envelopment analysis (DEA) does not deal with the longitudinal learning effect. In this study, we attempt to incorporate the learning effect into the model of DEA for efficiency evaluation. The two-stage approach will be developed along with the latent learning effect is estimated from the time-series data, then set the estimated learning effect as input in the DEA SBM (slacks-based measure) model. With regard to the issue of sustainable development, the proposed DEA model will be applied to investigate the organizational learning effect of MSW (Municipal Solid Waste) recycling system on efficiency evaluation 研究期間：10008 ~ 10107
