arbiter
JournalsPricingAccount

Supply Chain Information Sharing and Collaborative Innovation based on Social Network Analysis

Luyao Qu et al.

International Journal of Information Technology and Management2025https://doi.org/10.1504/ijitm.2025.10072063article
AJG 1
Weight
0.50

What the paper says

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

Open paper page →

Cite this paper

https://doi.org/https://doi.org/10.1504/ijitm.2025.10072063

Or copy a formatted citation

@article{luyao2025,
  title        = {{Supply Chain Information Sharing and Collaborative Innovation based on Social Network Analysis}},
  author       = {Luyao Qu et al.},
  journal      = {International Journal of Information Technology and Management},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1504/ijitm.2025.10072063},
}

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

Flag this paper

Supply Chain Information Sharing and Collaborative Innovation based on Social Network Analysis

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.