Nowadays, organizations are facing two major challenges. First, huge amount of consumed products is considerably destructing the environment and on the other hand, because of increasing competition in business environment, creating long-lasting competitive advantage and long-term relation with customers has become a necessity for organizations to survive and thrive. In this competitive condition, increasing emphasis on protecting environment has made manufacturers to look at reverse logistics as an important competitive factor. So in recent years, many researchers' and practitioners' attention has been focused on reverse logistics and related topics. Regarding the lack of knowledge in the literature of reverse logistics in Iran industry, this research aims to contribute to the body of knowledge in this field of supply chain and specifically talks about reverse logistics performance measurement in auto industry. This paper introduces a conceptual model which measures reverse logistics performance in auto industry and identifies the most important reverse logistics factors and classifies them. The offered model has been verified by structural equation modeling method and fit statistics have been assessed in auto-industry of Iran. The results of this research will exhibit a proper classification of factors which influence reverse logistics performance and their significance in auto-industry.
Nowadays, organizations are facing two major challenges. First, huge amount of consumed products is considerably destructing the environment and on the other hand, because of increasing competition in business environment, creating long-lasting competitive advantage and long-term relation with customers has become a necessity for organizations to survive and thrive. In this competitive condition, increasing emphasis on protecting environment has made manufacturers to look at reverse logistics as an important competitive factor. So in recent years, many researchers' and practitioners' attention has been focused on reverse logistics and related topics. Regarding the lack of knowledge in the literature of reverse logistics in Iran industry, this research aims to contribute to the body of knowledge in this field of supply chain and specifically talks about reverse logistics performance measurement in auto industry. This paper introduces a conceptual model which measures reverse logistics performance in auto industry and identifies the most important reverse logistics factors and classifies them. The offered model has been verified by structural equation modeling method and fit statistics have been assessed in auto-industry of Iran. The results of this research will exhibit a proper classification of factors which influence reverse logistics performance and their significance in auto-industry.
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