Moderating Effects

Moderating Effects is a statistical phenomenon in which the strength or direction of the relationship between two variables depends on the levels of a third variable, thereby altering the interpretation of causal or predictive linkages within a theoretical model.

18.5K

Publications

1.1M

Citations

41.6K

Authors

6.6K

Institutions

Publications per year

2017–2026

11.2K

Variants

Moderation Effects

Authors

41.6K

  1. HH
    Heesup Han

    Sejong University, South Korea

    43 publications · 3.5K citations

    31

    h-index

  2. HK
    Ho Kwong Kwan

    Shanghai University of Finance and Economics, China

    30 publications · 2.6K citations

    25

    h-index

  3. SA
    Samuel Adomako

    University of Birmingham, United Kingdom

    26 publications · 1.6K citations

    23

    h-index

  4. SC
    Sheshadri Chatterjee

    Indian Institute of Technology Kharagpur, India

    26 publications · 1.3K citations

    22

    h-index

  5. JH
    Jinsoo Hwang

    Sejong University, South Korea

    26 publications · 1.3K citations

    22

    h-index

1–5 of 41.6K

Venues

  1. Sustainability

    532 publications · 23.8K citations

    75

    h-index

  2. Journal of Applied Psychology

    111 publications · 20.3K citations

    74

    h-index

  3. Frontiers in Psychology

    536 publications · 20.6K citations

    66

    h-index

  4. Business Strategy and the Environment

    BSE · 96 publications · 10.4K citations

    61

    h-index

  5. Journal of Business Ethics

    86 publications · 9.7K citations

    60

    h-index

1–5