Data · dataset · 2017
Systematic literature review on the ways of measuring the of reverse logistics performance
Listed in DataCite
Description
Abstract
Reverse logistics can provide a sustainable competitive advantage for the company. However, to benefit from it, companies must monitor their reverse logistics based on a performance measurement system composed of financial and non-financial indicators. Thus, this study investigated, through a systematic literature review, the ways of measuring the of reverse logistics performance.
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The results of this study showed that the most used indicators were the financial and/or economic performance, together with the indicators related to the clients, followed by the indicators related to the improvement of internal, environmental, innovation and growth, social and, finally, supplier processes. It should be emphasized that there is no single justification on the best measures of performance evaluation of an activity.
Therefore, each company must establish the measures appropriate to its characteristics, in order to meet the company goals.
Links
Where it is published
- Repository landing page figshare.com/articles/Systematic_literature_review_on_the_ways_of_measuring… ↗
landing page · from DataCite
- DOI doi.org/10.6084/m9.figshare.5634673.v1 ↗
DOI / persistent id · from DataCite
Documentation and papers
- Creative Commons Attribution 4.0 International creativecommons.org/licenses/by/4.0/legalcode ↗
license · from DataCite
- IsSupplementTo 10.1590/0104-530x3177-16 doi.org/10.1590/0104-530x3177-16 ↗
publication · from DataCite
Catalogue records · 2
- DataCite API api.datacite.org/dois/10.6084/m9.figshare.5634673.v1 ↗
metadata API · from DataCite
- DataCite Commons commons.datacite.org/doi.org/10.6084/m9.figshare.5634673.v1 ↗
catalogue entry · from DataCite
Topics
- Inferred from text
- Manufacturing engineering 69%
Related
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| DataCite | 10.6084/m9.figshare.5634673.v1 | 15 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · DataCite | connector:datacite@1.0.0 | /data/attributes/rightsList |
| byte_size | source · DataCite | connector:datacite@1.0.0 | |
| concepts[field].anzsrc:group:4014 | enrichment · DataCite | taxonomy-embedding@1.1.0 | title+keywords+description (69%) |
| concepts[field].fos:electrical-engineering-electronic-engineering-information-engineering | source · DataCite | connector:datacite@1.0.0 | |
| created_date | source · DataCite | connector:datacite@1.0.0 | |
| description | source · DataCite | connector:datacite@1.0.0 | /data/attributes/descriptions |
| license | source · DataCite | connector:datacite@1.0.0 | /data/attributes/rightsList |
| publication_date | source · DataCite | connector:datacite@1.0.0 | /data/attributes/dates |
| title | source · DataCite | connector:datacite@1.0.0 | /data/attributes/titles/0/title |
| updated_date | source · DataCite | connector:datacite@1.0.0 |