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Supplier development for sustainability in the healthcare supply chain: an empirical study of a developing country during COVID-19

Nooshin Ghanbari et al.

International Journal of Services and Operations Management2026https://doi.org/10.1504/ijsom.2026.151752article
AJG 1
Weight
0.50

What the paper says

The purpose of this research is to investigate how sustainability in economic, social, and environmental dimensions can be enhanced through supplier development in the healthcare supply chain. Data were collected through a survey study, and partial least squares-structural equation modelling (PLS-SEM) was employed for data analysis. The findings demonstrate that strengthening relationships between customers and suppliers is a key factor in enhancing supply chain sustainability. This study reveals that improvements in the activities that contribute to supplier development have a significant impact on fostering trust, customer awareness, and the supplier's brand image. These enhancements can significantly improve supply chain sustainability within the healthcare industry. The research results aim to provide an integrated perspective on supply chain sustainability, emphasising its economic, social, and environmental dimensions.

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https://doi.org/https://doi.org/10.1504/ijsom.2026.151752

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@article{nooshin2026,
  title        = {{Supplier development for sustainability in the healthcare supply chain: an empirical study of a developing country during COVID-19}},
  author       = {Nooshin Ghanbari et al.},
  journal      = {International Journal of Services and Operations Management},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1504/ijsom.2026.151752},
}

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Supplier development for sustainability in the healthcare supply chain: an empirical study of a developing country during COVID-19

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Evidence weight

0.50

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

F · citation impact0.50 × 0.4 = 0.20
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.