Measuring and forecasting global digital economy efficiency: An integrated approach using the super-efficiency sequential SBM model and machine learning algorithms.
Zhishuo Zhang|Hu Liu|Tao Shi|Qian Li|Huayong Niu
| Anthology ID: | DBLP:journals/ipm/ZhangLSLN26 |
|---|---|
| Year: | 2026 |
| Venue: | Information Processing and Management |
| Pages: | 104638 |
| URL: | https://doi.org/10.1016/J.IPM.2026.104638 |
| DOI: | https://doi.org/10.1016/J.IPM.2026.104638 |
| DBLP: | journals/ipm/ZhangLSLN26 |
| BibTeX: |
@article{zhang-2026-measuring,
author = {Zhishuo Zhang and
Hu Liu and
Tao Shi and
Qian Li and
Huayong Niu},
title = {{Measuring and forecasting global digital economy efficiency: An integrated approach using the super-efficiency sequential SBM model and machine learning algorithms}},
journal = {Information Processing and Management},
volume = {63},
number = {5},
pages = {104638},
year = {2026},
url = {https://doi.org/10.1016/J.IPM.2026.104638},
doi = {https://doi.org/10.1016/J.IPM.2026.104638}
}