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What practice can learn from theory: The potential impact of disposition decision factors on organisational performance
Journal of Transport and Supply Chain Management | Vol 12 | a338 |
DOI: https://doi.org/10.4102/jtscm.v12i0.338
| © 2018 Amanda Badenhorst
| This work is licensed under CC Attribution 4.0
Submitted: 18 August 2017 | Published: 28 February 2018
Submitted: 18 August 2017 | Published: 28 February 2018
About the author(s)
Amanda Badenhorst, Department of Entrepreneurship, Supply Chain, Transport, Tourism and Logistics Management, University of South Africa, South AfricaAbstract
Background: Effective disposition decisions can lead to a number of value-adding benefits including economic, environmental and marketing benefits. Despite this, many organisations are not aware of the importance of disposition decisions and the impact they can have on organisational performance.
Objectives: The aim of this study was to demonstrate the potential impact of disposition decision factors on organisational performance.
Method: This study made use of a qualitative content analysis method on previously published scientific articles on reverse logistics. The sample included 67 published scientific articles between 2006 and 2016. ATLAS.ti software was used to assist with the data analysis process.
Findings: The findings showed a number of factors for disposition decision-making resulting in a number of value-adding benefits, which can improve organisational performance. From the findings, a conceptual framework was developed linking the disposition decision factors with the value-adding benefits and areas of organisational performance improvements.
Conclusion: The framework developed in this article contributes to new insights and can help organisations to identify different performance improvement areas associated with certain disposition decision factors.
Objectives: The aim of this study was to demonstrate the potential impact of disposition decision factors on organisational performance.
Method: This study made use of a qualitative content analysis method on previously published scientific articles on reverse logistics. The sample included 67 published scientific articles between 2006 and 2016. ATLAS.ti software was used to assist with the data analysis process.
Findings: The findings showed a number of factors for disposition decision-making resulting in a number of value-adding benefits, which can improve organisational performance. From the findings, a conceptual framework was developed linking the disposition decision factors with the value-adding benefits and areas of organisational performance improvements.
Conclusion: The framework developed in this article contributes to new insights and can help organisations to identify different performance improvement areas associated with certain disposition decision factors.
Keywords
reverse logistics; product recovery; returns management; disposition decisions; qualitative content analysis
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