Threshold-based Incentives

Threshold-Based Incentives is a performance-based compensation mechanism that belongs to the class of incentive systems requiring predefined performance thresholds to be met before any rewards are triggered, distinguished by its all-or-nothing payout structure contingent upon achieving minimum, target, or stretch performance levels.

13

Publications

542

Citations

32

Authors

26

Institutions

Publications per year

2017–2026

3

Authors

32

  1. LA
    Lalin Anik

    University of Virginia, United States

    2 publications · 30 citations

    2

    h-index

  2. MI
    Michael I. Norton

    Harvard University, United States

    2 publications · 30 citations

    2

    h-index

  3. CS
    Cheryl S. McWatters

    University of Alberta, Canada

    1 publications · 213 citations

    1

    h-index

  4. JX
    Jia Xu

    Nanjing University of Posts and Telecommunications, China

    1 publications · 30 citations

    1

    h-index

  5. XZ
    Xianming Zhou

    Institute of Modern Physics, China

    1 publications · 43 citations

    1

    h-index

1–5 of 32

Venues

  1. The Journal of Business

    JB · 1 publications · 43 citations

    1

    h-index

  2. Journal of the Association for Consumer Research

    JACR · 1 publications · 18 citations

    1

    h-index

  3. Economics

    1 publications · 24 citations

    1

    h-index

  4. Journal of Economic Behavior & Organization

    1 publications · 15 citations

    1

    h-index

  5. Test

    1 publications · 26 citations

    1

    h-index

1–5