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Artificial intelligence-driven healthcare supply chain resilience: The mediating effect of organisational transparency

Manisha Tiwari

Journal of Strategy & Innovation2026https://doi.org/10.1016/j.jsinno.2026.200572article
ABDC C
Weight
0.50

What the paper says

This study aims to investigate how AI-driven technologies can enhance organisational transparency and strengthen the resilience of healthcare supply chains during crises. It establishes a theoretical framework based on two key theories: the resource-based view, which emphasises the strategic importance of valuable resources, and institutional theory, which examines how societal norms and regulations influence organisational behaviour. Using survey data collected through a pre-tested instrument, the study employs partial least squares structural equation modelling (PLS-SEM) to analyse the complex relationships among variables. The findings reveal that organisational transparency plays a crucial role in improving operational effectiveness and resilience within healthcare supply chains—an area that has often been overlooked in previous research. This research expands the theoretical boundaries of both the resource-based view and institutional theory by explaining how the adoption of AI-based technologies can be effectively utilised to make informed decisions in the context of healthcare, where protecting sensitive public health information is paramount, without compromising the goal of building resilience during crises. The results contribute valuable theoretical insights to the field of operations and supply chain management from a societal perspective. Additionally, the study demonstrates that integrating AI technologies with organisational transparency is essential for navigating disruptions in healthcare and addressing ethical and privacy considerations surrounding data management. Ultimately, this research provides practical insights for managers and policymakers facing supply chain challenges during health crises, highlighting key implications and suggesting future research avenues to further explore the connections between AI technologies, organisational transparency, and healthcare supply chain resilience.

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https://doi.org/https://doi.org/10.1016/j.jsinno.2026.200572

Or copy a formatted citation

@article{manisha2026,
  title        = {{Artificial intelligence-driven healthcare supply chain resilience: The mediating effect of organisational transparency}},
  author       = {Manisha Tiwari},
  journal      = {Journal of Strategy & Innovation},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1016/j.jsinno.2026.200572},
}

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Artificial intelligence-driven healthcare supply chain resilience: The mediating effect of organisational transparency

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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.