Automated Author ProfileDeccax, Ronaldo Andrade
Deccax, Ronaldo Andrade
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author'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: 0.8 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
ABSTRACT The goal of this research was to fill the gap represented by the lack of studies that apply Behavioral Finance concepts in the segmentation of investors in retirement savings plans. Based on a bibliographic review, and the study of multiple cases, there was revealed relevant aspects of the supplemental retirement market in Brazil, this article proposes a new set of demographic and psychographic variables that were more effective in previous research in the segmentation of financial services clients. It innovates by incorporating variables from Psychology and Behavioral Finance, especially the “rationality” variable which has a remarkable ability to synthesize vulnerabilities to a wide universe of heuristics and biases when applied to investors. In addition, significant behavioral barriers were identified for the expansion of the retirement market, such as a low level of maturity of current market practices in Brazil and the need to use Behavioral Finance instruments in this confrontation.
Authors
- Deccax, Ronaldo Andrade ;
- Campani, Carlos Heitor
ABSTRACT The goal of this research was to fill the gap represented by the lack of studies that apply Behavioral Finance concepts in the segmentation of investors in retirement savings plans. Based on a bibliographic review, and the study of multiple cases, there was revealed relevant aspects of the supplemental retirement market in Brazil, this article proposes a new set of demographic and psychographic variables that were more effective in previous research in the segmentation of financial services clients. It innovates by incorporating variables from Psychology and Behavioral Finance, especially the “rationality” variable which has a remarkable ability to synthesize vulnerabilities to a wide universe of heuristics and biases when applied to investors. In addition, significant behavioral barriers were identified for the expansion of the retirement market, such as a low level of maturity of current market practices in Brazil and the need to use Behavioral Finance instruments in this confrontation.
Authors
- Deccax, Ronaldo Andrade ;
- Campani, Carlos Heitor