Data Network Effects
Data Network Effects is a type of network effect in which the value of a product or service increases for all users as additional users contribute data that enhance the system's performance, typically through improved algorithms, personalization, or predictive accuracy, thereby distinguishing it from other network effects that rely primarily on user count or direct interactions.
12
Publications
921
Citations
32
Authors
28
Institutions
Publications per year
2017–2026
10
Variants
Data-driven Network Effects
Parents
12
Darek Haftor, Ricardo Costa Climent, Jenny Eriksson Lundström · Journal of Business Research · 2021 · 56 citations · Full text
1–5 of 12
32
3
h-index
3
h-index
2
h-index
2
h-index
2
h-index
1–5 of 32
28

Uppsala University
Uppsala, Sweden
4 h-index
8 publications
354 citations
University of Miami
Coral Gables, United States
2 h-index
5 publications
798 citations
University of Virginia
Charlottesville, United States
2 h-index
5 publications
798 citations

Skolkovo Moscow School of Management
Moscow, Russia
2 h-index
5 publications
798 citations
École Supérieure des Sciences Économiques et Commerciales
Cergy, France
2 h-index
5 publications
798 citations
Universitat de València
Valencia, Spain
1 h-index
1 publications
38 citations

University of Cape Town
Rondebosch, South Africa
1 h-index
1 publications
32 citations

Vrije Universiteit Amsterdam
Amsterdam, The Netherlands
1 h-index
1 publications
22 citations
1–8 of 28
AMR · 2 publications · 567 citations
2
h-index
JBR · 2 publications · 78 citations
2
h-index
Repository · 1 publications · 12 citations
1
h-index
ISR · 1 publications · 32 citations
1
h-index
JBV · 1 publications · 38 citations
1
h-index
1–5