Cross-sided Network Effects

Cross-Sided Network Effects is a type of network effect in platform competition whereby the value of a platform to agents on one side increases with the number of participants on a complementary or distinct side, distinguishing it from same-sided network effects by its interdependence across asymmetric user groups.

29

Publications

1.7K

Citations

79

Authors

44

Institutions

Publications per year

2017–2026

17

Variants

Cross-side Network Effects

Authors

79

  1. ZW
    Zhiyi Wang

    National University of Singapore, Singapore

    2 publications · 55 citations

    2

    h-index

  2. PM
    Puneet Manchanda

    University of Michigan, United States

    2 publications · 247 citations

    2

    h-index

  3. JH
    Jungpil Hahn

    National University of Singapore, Singapore

    2 publications · 55 citations

    2

    h-index

  4. JC
    Junhong Chu

    National University of Singapore, Singapore

    2 publications · 247 citations

    2

    h-index

  5. ML
    Minqiang Li

    Tianjin University, China

    2 publications · 37 citations

    2

    h-index

1–5 of 79

Venues

  1. SSRN Electronic Journal

    Repository · 5 publications · 83 citations

    5

    h-index

  2. Decision Support Systems

    2 publications · 63 citations

    2

    h-index

  3. European Journal of Operational Research

    2 publications · 147 citations

    2

    h-index

  4. Marketing Science

    2 publications · 384 citations

    2

    h-index

  5. Journal of Management Information Systems

    JMIS · 1 publications · 72 citations

    1

    h-index

1–5