arbiter
JournalsPricingAccount

Big data analytics in Indian healthcare supply chain: a review and bibliometric research

Twinkle Singh et al.

International Journal of Logistics Systems and Management2026https://doi.org/10.1504/ijlsm.2026.151738article
AJG 1
Weight
0.50

What the paper says

Supply cost comprises the second largest expenditure in healthcare organisations, after manpower cost. Therefore, one of the most pressing challenges faced by the healthcare industry is to improve supply chain practices thereby reducing costs while not compromising on delivery quality healthcare. Against this backdrop, past literature has reflected that technology plays a vital role in opening up extensive opportunities to improve supply chain practices. This study aims to analyse previous research related to supply chain practices in the Indian healthcare industry and highlights the benefits of adopting technology for effective organisational performance. A bibliometric analysis and literature review was conducted to find out the best supply chain practices over the last decade (2011-2021). The review identified big data analytics (BDA) as the technology tool that is garnering considerable attention in supply chain management and is seen offering a wide range of benefits for the healthcare supply chain, from forecasting demand to improving patient care.

Open paper page →

Cite this paper

https://doi.org/https://doi.org/10.1504/ijlsm.2026.151738

Or copy a formatted citation

@article{twinkle2026,
  title        = {{Big data analytics in Indian healthcare supply chain: a review and bibliometric research}},
  author       = {Twinkle Singh et al.},
  journal      = {International Journal of Logistics Systems and Management},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1504/ijlsm.2026.151738},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Big data analytics in Indian healthcare supply chain: a review and bibliometric research

Flags are reviewed by the Arbiter methodology team within 5 business days.

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.