Fraud Detection Incentives

Fraud Detection Incentives is a formal mechanism within whistleblower incentive systems that systematically rewards individuals for providing actionable information leading to the identification and verification of fraudulent activities, distinguishing it from general compliance or performance-based incentives by its specific focus on fraud-related disclosures.

28

Publications

3.4K

Citations

55

Authors

50

Institutions

Publications per year

2017–2026

5

Authors

55

  1. AM
    Adair Morse

    University of California, Berkeley, United States

    3 publications · 2.1K citations

    3

    h-index

  2. LZ
    Luigi Zingales

    University of Chicago, United States

    3 publications · 2.1K citations

    3

    h-index

  3. AD
    Alexander Dyck

    Carl von Ossietzky Universität Oldenburg, Germany

    2 publications · 1.9K citations

    2

    h-index

  4. RF
    Richard Fairchild

    University of Bath, United Kingdom

    2 publications · 29 citations

    2

    h-index

  5. TY
    Tracy Yue Wang

    University of Minnesota, United States

    2 publications · 32 citations

    2

    h-index

1–5 of 55

Venues

  1. SSRN Electronic Journal

    Repository · 6 publications · 341 citations

    6

    h-index

  2. Journal of Industrial Economics

    1 publications · 72 citations

    1

    h-index

  3. CFA Digest

    1 publications · 24 citations

    1

    h-index

  4. British Journal of Management

    1 publications · 20 citations

    1

    h-index

  5. Omega

    1 publications · 51 citations

    1

    h-index

1–5