Data-Guided Rulemaking is a systematic regulatory decision-making approach that belongs to the class of evidence-based policy frameworks, distinguished by its reliance on empirical data and quantitative analysis to inform, shape, and justify administrative rules and regulations.
6
Publications
180
Citations
15
Authors
13
Institutions
Publications per year
2017–2026
2
Publications
6
José M. Conejero, Juan Carlos Preciado, Antonio Jesús Fernández‐García et al. · Expert Systems with Applications · 2020 · 18 citations
1–5 of 6
Authors
15
- WA
2
h-index
- EP
2
h-index
- BV
1
h-index
- ÁE
1
h-index
- JM
1
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1–5 of 15
Institutions
13
Kyushu University
Fukuoka, Japan
2 h-index
2 publications
69 citations
European Corporate Governance Institute
Brussels, Belgium
2 h-index
2 publications
69 citations
Philips (India)
Gurgaon, India
2 h-index
2 publications
69 citations
Signify (Netherlands)
Eindhoven, The Netherlands
2 h-index
2 publications
69 citations
Tilburg University
Tilburg, The Netherlands
2 h-index
2 publications
69 citations
University of St. Thomas - Minnesota
Saint Paul, United States
2 h-index
2 publications
69 citations
Allentown High School
Allentown, United States
1 h-index
1 publications
26 citations
Boston College
Boston, United States
1 h-index
1 publications
13 citations
1–8 of 13
Venues
- SSRN Electronic Journal
Repository · 3 publications · 82 citations
3
h-index
- Research and Practice for Persons with Severe Disabilities
JASH · 1 publications · 26 citations
1
h-index
- Computers & Operations Research
1 publications · 54 citations
1
h-index
- Expert Systems with Applications
1 publications · 18 citations
1
h-index
1–4