Incorporating the learning effect into data envelopment analysis to measure MSW recycling performance |
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Authors: | Dong-Shang Chang Wenrong Liu Li-Ting Yeh |
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Institution: | 1. Department of Business Administration, National Central University, 300 Jhongda Rd., Jhongli City, Taoyuan County 320, Taiwan, ROC;2. Department of Cooperative Economics, Feng Chia University, 100 Wenhwa Rd., Seatwen, Taichung 407, Taiwan, ROC |
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Abstract: | The effect of organizational learning, which results in continuous improvement of organizational performance over time, has been widely discussed. The cumulative learning effect may form as a source of intellectual capital. Thus far, the static data envelopment analysis (DEA) model has not been used to examine the longitudinal learning effect. Therefore, a two-stage approach is developed together with the estimation of a latent learning effect using time-series data; the estimated learning effect is then used as an input in the DEA Slacks-Based Measure (SBM) model. The proposed DEA SBM model can be used to investigate the efficiency of the organizational learning effect of Municipal Solid Waste (MSW) recycling systems. |
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Keywords: | Data envelopment analysis Learning effect MSW recycling |
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