Journal Article10.1108/jmtm-06-2022-0226
The reverse logistics resource matrix: a novel classification scheme
Raphael Aryee,Ebenezer Adaku +1 more
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TL;DR: In this article , the authors present a resource framework for reverse logistics operations based on widespread literature and industry experience, which provides a useful information for business managers and extends reverse logistics research.
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Abstract: PurposeThis study presents a resource framework for reverse logistics operations based on widespread literature and industry experience. A common and comprehensive definition of resources that affect the implementation of reverse logistics is still patchy in the extant literature. Hence, a complete scheme, such as this, for the categorisation of resources that affect the implementation of reverse logistics is essential. This provides a useful information for business managers and extends reverse logistics research.Design/methodology/approachThis study systematically identified, and validated with the help of reverse logistics experts, the resources that affect the implementation of reverse logistics.FindingsThe result is a classification scheme, termed as “reverse logistics resource matrix” (RLRM). This matrix offers a holistic overview of the resources that affect the implementation of reverse logistics for both scholars and practitioners.Originality/valueTo best of the researchers' knowledge, the RLRM is the first attempt to comprehensively structure the resources that affect the implementation of reverse logistics in an integrated framework.
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