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The impact of reverse logistics decision on environmental and social performance: the role of green integration and blockchain

Ahmed Ali et al.

International Journal of Integrated Supply Management2024https://doi.org/10.1504/ijism.2024.142782article
AJG 1
Weight
0.43

What the paper says

Companies nowadays are forced to make strategic and tactical reverse logistics decisions in order to successfully achieve high sustainability performance. One of the most effective tools to solve the waste problem is reverse logistics, especially when mixed with digital technologies. This study investigates the impact of strategic and tactical reverse logistics on environmental and social performance in Egyptian firms. It uses resources-based view theory to examine the role of internal green integration and blockchain technology as a moderator. The research findings show that internal green integration significantly mediates the relationship between strategic and tactical reverse logistics and environmental and social performance. Blockchain technology can also moderate the direct impact of tactical reverse logistics on internal green integration and the direct impact of internal green integration on social performance. The study provides important implications for decision-makers and policymakers on the role of reverse logistics and blockchain technology in enhancing the performance.

2 citations

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https://doi.org/https://doi.org/10.1504/ijism.2024.142782

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@article{ahmed2024,
  title        = {{The impact of reverse logistics decision on environmental and social performance: the role of green integration and blockchain}},
  author       = {Ahmed Ali et al.},
  journal      = {International Journal of Integrated Supply Management},
  year         = {2024},
  doi          = {https://doi.org/https://doi.org/10.1504/ijism.2024.142782},
}

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Evidence weight

0.43

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.31 × 0.4 = 0.12
M · momentum0.55 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.