Detection Probability Effects

Detection Probability Effects is a theoretical construct in whistleblower incentives research that specifies the influence of perceived likelihood of detecting misconduct on individuals' decisions to report unethical behavior, distinguishing it from other reporting determinants by focusing exclusively on the probabilistic assessment of detection efficacy.

221

Publications

11.9K

Citations

739

Authors

401

Institutions

Publications per year

2017–2026

63

Authors

739

  1. TR
    Theodore R. Simons

    North Carolina State University, United States

    10 publications · 1.2K citations

    10

    h-index

  2. KH
    Kenneth H. Pollock

    North Carolina State University, United States

    9 publications · 1.1K citations

    9

    h-index

  3. CJ
    Courtney J. Conway

    United States Geological Survey, United States

    8 publications · 477 citations

    8

    h-index

  4. JD
    James D. Nichols

    United States Geological Survey, United States

    5 publications · 683 citations

    5

    h-index

  5. GL
    George L. Farnsworth

    North Carolina State University, United States

    4 publications · 573 citations

    4

    h-index

1–5 of 739

Venues

  1. Journal of Wildlife Management

    19 publications · 1.3K citations

    17

    h-index

  2. The Auk

    12 publications · 1.3K citations

    12

    h-index

  3. Journal of Field Ornithology

    7 publications · 202 citations

    7

    h-index

  4. PLoS ONE

    6 publications · 368 citations

    6

    h-index

  5. Wildlife Research

    5 publications · 246 citations

    5

    h-index

1–5