Automated Organization ProfileNational Science Foundation. Directorate for Social, Behavioral and Economic Sciences
National Science Foundation. Directorate for Social, Behavioral and Economic Sciences
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets in this organization
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the organization's datasets
Total Mentions
Total mentions of the organization's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 3.4 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This paper studies the employment dynamics for firms that adopt advanced technologies versus firms that do not. The findings suggest that firms that adopt advanced technologies are different from those that do not in terms of their size and growth patterns. Prior to the time period during which the adoption of advanced technologies intensified, these firms were larger and grew faster. However, the adoption of advanced technologies did not lead to significant changes in their employment and growth patterns. These findings suggest that adoption is driven more by selection and have implications on how we assess the impacts of advanced technology adoption on firm performance.
Authors
- Acemoglu, Daron ;
- Anderson, Gary ;
- Beede, David ;
- Buffington, Catherine ;
- Dinlersoz, Emin ;
- Foster, Lucia ;
- Goldschlag, Nathan ;
- Haltiwanger, John ;
- Kroff, Zachary ;
- Restrepo, Pascual ;
- Zolas, Nikolas
This paper studies the employment dynamics for firms that adopt advanced technologies versus firms that do not. The findings suggest that firms that adopt advanced technologies are different from those that do not in terms of their size and growth patterns. Prior to the time period during which the adoption of advanced technologies intensified, these firms were larger and grew faster. However, the adoption of advanced technologies did not lead to significant changes in their employment and growth patterns. These findings suggest that adoption is driven more by selection and have implications on how we assess the impacts of advanced technology adoption on firm performance.
Authors
- Acemoglu, Daron ;
- Anderson, Gary ;
- Beede, David ;
- Buffington, Catherine ;
- Dinlersoz, Emin ;
- Foster, Lucia ;
- Goldschlag, Nathan ;
- Haltiwanger, John ;
- Kroff, Zachary ;
- Restrepo, Pascual ;
- Zolas, Nikolas