Variance Correction

Variance Correction is a methodological framework within the domain of organizational learning and adaptive systems that systematically identifies and rectifies discrepancies between intended and actual performance through feedback-driven adjustments without altering underlying assumptions or policies, distinguishing it from higher-order learning processes that involve strategic or structural change.

31

Publications

3.5K

Citations

82

Authors

47

Institutions

Publications per year

2017–2026

5

Authors

82

  1. SB
    Stefan Becker

    Justus-Liebig-Universität Gießen, Germany

    2 publications · 77 citations

    2

    h-index

  2. YC
    Yuanfang Chen

    Hohai University, China

    2 publications · 77 citations

    2

    h-index

  3. WW
    Wenpeng Wang

    Hohai University, China

    2 publications · 77 citations

    2

    h-index

  4. MΤ
    Michael Τ. Brannick

    University of South Florida, United States

    2 publications · 290 citations

    2

    h-index

  5. AB
    Anindya Banerjee

    European University Institute, Italy

    2 publications · 874 citations

    2

    h-index

1–5 of 82

Venues

  1. Oxford Bulletin of Economics and Statistics

    2 publications · 874 citations

    2

    h-index

  2. Hydrological Sciences Journal

    1 publications · 47 citations

    1

    h-index

  3. Tellus A Dynamic Meteorology and Oceanography

    1 publications · 14 citations

    1

    h-index

  4. Studia Geophysica et Geodaetica

    1 publications · 16 citations

    1

    h-index

  5. Journal of Hydrologic Engineering

    1 publications · 54 citations

    1

    h-index

1–5