Incorporating the learning effect into data envelopment analysis to measure MSW recycling performance

Dong-Shang Chang, Wenrong Liu and Li-Ting Yeh

European Journal of Operational Research, 2013, vol. 229, issue 2, 496-504

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.

Keywords: Data envelopment analysis; Learning effect; MSW recycling (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (9)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:229:y:2013:i:2:p:496-504

DOI: 10.1016/j.ejor.2013.01.026

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