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Reverse logistics disposition decision-making Developing a decision framework via content analysis

delete2012-04-13
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PRE
AI
B
Benjamin T. Hazen *
D
Dianne J. Hall
J
Joe B. Hanna
DOI:10.1108/09600031211225954delete
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摘要

摘要

En 中文
Purpose - The purpose of this study is to identify the critical components of the reverse logistics (RL) disposition decision-making process and suggest a decision framework that may guide future investigation and practice.. Design/methodology/approach - The authors utilized a problem-driven content analysis methodology. RL literature from 2000 through 2010. was content analyzed to determine which components may impact a firm's RL disposition decision. Findings - The authors extrapolated seven RI. disposition decision components from a compilation of 60 variables identified. in the literature. Practical implications and suggestions for future research are offered, and a RL disposition decision-making framework is presented. Research limitations/implications - Although methodological techniques were carefully followed, the nature of a content analysis may be subject to author bias. Future investigation and use of the framework presented will verify the findings presented here. Practical implications - This study identifies seven components that should be considered when deciding Which RL disposition alternative should be adopted and integrates these components into a decision-making framework. Supply chain professionals who refer to this framework during the decision process will benefit from a more comprehensive analysis of potential RL disposition alternatives. Originality/value - Congruent with recent assertions suggesting that RL, research is evolving from an. operational-level focus to a holistic business process approach for maximizing value recovery, this study synthesizes operational-level research to develop a practical framework for RL disposition decision-making.
Keyword:
Reverse logistics
Returns
Disposition
Content analysis
Decision making
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期刊

I
International Journal of Physical Distribution and Logistics Management
IF:
7.3
论文数:
810
被引数:
5.5K

机构

A
auburn university system
学者数:
1.1W
论文数: 9.5K
被引数: 9
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