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The reverse logistics resource matrix: a novel classification scheme

Raphael Aryee (Department of Management Science, Business School, Ghana Institute of Management and Public Administration (GIMPA), Accra, Ghana)
Ebenezer Adaku (Department of Management Science, Business School, Ghana Institute of Management and Public Administration (GIMPA), Accra, Ghana)

Journal of Manufacturing Technology Management

ISSN: 1741-038X

Article publication date: 18 April 2023

Issue publication date: 28 April 2023

325

Abstract

Purpose

This 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/approach

This study systematically identified, and validated with the help of reverse logistics experts, the resources that affect the implementation of reverse logistics.

Findings

The 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/value

To 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.

Keywords

Citation

Aryee, R. and Adaku, E. (2023), "The reverse logistics resource matrix: a novel classification scheme", Journal of Manufacturing Technology Management, Vol. 34 No. 3, pp. 435-454. https://doi.org/10.1108/JMTM-06-2022-0226

Publisher

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Emerald Publishing Limited

Copyright © 2023, Emerald Publishing Limited

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