The process of transforming raw materials into final products and delivering those products to customers, known as supply chain (SC) management, is becoming increasingly complex. Most of SC management research has been concerned with procurement and production. However, recently, it has become increasingly important to extend SC issues beyond the point of sale to reverse logistic (RL) where the flow of returned products is processed from the customers back to the collection centers for repair, remanufacturing or disposal. We propose a conceptual framework and empirically investigate the relationship between the key factors in RL and SC performance measurement using a series of hypotheses. Structural equation modeling (SEM) is used to test the hypotheses. The results reveal insightful information about the effects of RL factors on the SC performance. [ABSTRACT FROM AUTHOR]
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