Digital Transformation Pathways for the Scientific Research Service System
In order to promote the transformation of the scientific research service system and optimize resource allocation, a large amount of information, ETL integration, and automatic analysis have been adopted. The results indicate that digital models can accelerate research speed, increase technical challenge speed by 85%, increase market transaction volume by 7.5% -9%, and improve resource utilization by 15%. This makes it possible to coordinate scientific research with market demand and develop science, technology, and industrialization.
Authors
- Ming Sun (ORCID: https://orcid.org/0009-0009-1153-3279)
- Dong Zhang
- Yixin Zhu (ORCID: https://orcid.org/0009-0005-0088-0110)
- Xiaoxin Gao (ORCID: https://orcid.org/0009-0006-1085-7106)
- Y. Mu
- Yao Lu (ORCID: https://orcid.org/0009-0005-1031-8471)
Institutions
- PowerChina (China) (CN)
Publication Details
- Published
- 2024-12-27
- DOI
- https://doi.org/10.1145/3718491.3718515
- Primary Topic
- Big Data and Business Intelligence
- Type
- article
- Field-Weighted Citation Impact
- 0.00