Analytics-driven Innovation
Analytics-Driven Innovation is a scholarly contribution that advances knowledge through the systematic creation or refinement of methods, models, frameworks, or metrics grounded in data analytics to generate novel insights, processes, or solutions within organizational, scientific, or technological domains.
115
Publications
10.9K
Citations
306
Authors
195
Institutions
Publications per year
2017–2026
86
Parents
115
Surajit Bag, J.H.C. Pretorius, Shivam Gupta et al. · Technological Forecasting and Social Change · 2020 · 839 citations
Business, Management Information Systems, Technology Management +17
Francesco Ciampi, Stefano Demi, Alessandro Magrini et al. · Journal of Business Research · 2020 · 630 citations · Full text
The age of analytics: competing in a data-driven world
Nicolaus Henke, Jacques Bughin, Michael Chui et al. · 2016 · 360 citations
1–5 of 115
306
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1–5 of 306
195
Case Western Reserve University
Cleveland, United States
3 h-index
3 publications
267 citations
IBM (United States)
Armonk, United States
3 h-index
4 publications
152 citations
University of Pennsylvania
Philadelphia, United States
3 h-index
8 publications
1.7K citations
Friedrich-Alexander-Universität Erlangen-Nürnberg
Erlangen, Germany
2 h-index
4 publications
91 citations
TBS Education
Toulouse, France
2 h-index
2 publications
357 citations

University of Bologna
Bologna, Italy
2 h-index
5 publications
278 citations

Aston University
Birmingham, United Kingdom
2 h-index
3 publications
291 citations
University of Science and Technology of China
Hefei, China
2 h-index
6 publications
388 citations
1–8 of 195
6 publications · 1.3K citations
6
h-index
5 publications · 448 citations
5
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5 publications · 391 citations
5
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JBR · 5 publications · 1.9K citations
5
h-index
JAIS · 3 publications · 136 citations
3
h-index
1–5