Open Access
Issue
E3S Web Conf.
Volume 275, 2021
2021 International Conference on Economic Innovation and Low-carbon Development (EILCD 2021)
Article Number 03082
Number of page(s) 5
Section Environmental Protection and Governance Innovation Technology Research
DOI https://doi.org/10.1051/e3sconf/202127503082
Published online 21 June 2021
  1. Wang, J.X. (2020) Analysis and construction of nuclear power engineering equipment supplier evaluation model. L. E. M., 42: 82-85. [Google Scholar]
  2. Zhang, H.Y., Lu, Y., Zhang, J., Yang, Q.Z., Zhang, Y.L. (2020) Research on supplier credit evaluation method based on big data. C. A., 39: 51-53. [Google Scholar]
  3. Fan, W., Liu Y.H., Yang G.H., Tao Y. (2019) Analysis and application of supplier holographic portrait model based on big data analysis technology. E. A., 11: 7578. [Google Scholar]
  4. Wu, S.D. (2019) Research on supplier credit risk management of electric power enterprises based on big data analysis. M.I.T., 3:191-193. [Google Scholar]
  5. Liu Shuai China. (2018). Research on supply chain collaboration based on big data. https://kns.cnki.net/kcms/detail/detail.aspx?FileNam e=1018164518.nh&DbName=CMFD2019 [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.