Exploring social and solidarity economy integration with supply chain management: conceptual and empirical approach

Ahmed M. Deif

International Journal of Value Chain Management2024https://doi.org/10.1504/ijvcm.2024.143690article
AJG 1
Weight
0.30

What the paper says

This paper bridges social and solidarity economy (SSE) principles with contemporary supply chain management (SCM) practices. It aims to analyze how SSE can reshape foundational SCM principles, identify contributions and challenges of an SSE-based SCM approach through a literature review, and validate these findings via an empirical study of local supply chains in selected African countries. Results reveal the transformative potential of integrating SSE in SCM, offering conceptual insights and practical recommendations for research and paradigm shifts. The study emphasises changes in SCM's epistemology, ontology, and typology to align with SSE's values-driven, community-oriented priorities. Empirical findings highlight the unique needs and benefits of SSE in African supply chains, providing a foundation for future SSE-SCM models. This paper pioneers exploration of SSE's theoretical and practical impacts on SCM, advancing research on social value creation and empowerment within supply chain practices.

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https://doi.org/https://doi.org/10.1504/ijvcm.2024.143690

Or copy a formatted citation

@article{ahmed2024,
  title        = {{Exploring social and solidarity economy integration with supply chain management: conceptual and empirical approach}},
  author       = {Ahmed M. Deif},
  journal      = {International Journal of Value Chain Management},
  year         = {2024},
  doi          = {https://doi.org/https://doi.org/10.1504/ijvcm.2024.143690},
}

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Exploring social and solidarity economy integration with supply chain management: conceptual and empirical approach

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Evidence weight

0.30

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

F · citation impact0.00 × 0.4 = 0.00
M · momentum0.50 × 0.15 = 0.07
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.