Data-Driven Innovation is an innovation paradigm that systematically leverages empirical data as the primary input for generating, refining, and validating novel methods, models, or strategies, distinguished from other innovation approaches by its reliance on data analytics, real-time feedback, and evidence-based decision-making to drive advancements in digital and health care contexts.
326
Publications
29.7K
Citations
973
Authors
549
Institutions
Publications per year
2017–2026
267
Publications
326
Big Data, new epistemologies and paradigm shifts
Rob Kitchin · Big Data & Society · 2014 · 2.3K citations · Full text
1–5 of 326
Authors
973
- SA
4
h-index
- AG
4
h-index
- KH
3
h-index
- MB
3
h-index
- CECatherine E. Tucker
Massachusetts Institute of Technology, United States
3 publications · 343 citations
3
h-index
1–5 of 973
Institutions
549
Harvard University
Cambridge, United States
7 h-index
14 publications
1.1K citations
Politecnico di Milano
Milan, Italy
6 h-index
16 publications
1.3K citations
University of Toronto
Toronto, Canada
6 h-index
10 publications
1.4K citations
University of Wollongong
Wollongong, Australia
5 h-index
14 publications
1.7K citations
University of Edinburgh
Edinburgh, United Kingdom
5 h-index
9 publications
233 citations
Massachusetts Institute of Technology
Cambridge, United States
5 h-index
5 publications
1K citations
University of Turin
Turin, Italy
4 h-index
5 publications
693 citations
Case Western Reserve University
Cleveland, United States
4 h-index
4 publications
333 citations
1–8 of 549
Venues
- Annals of Operations Research
12 publications · 1.1K citations
12
h-index
- SSRN Electronic Journal
Repository · 9 publications · 345 citations
9
h-index
- European Journal of Innovation Management
6 publications · 505 citations
6
h-index
- Journal of Product Innovation Management
6 publications · 899 citations
6
h-index
- International Journal of Information Management
5 publications · 963 citations
5
h-index
1–5