Governing Variables

Governing Variables is a theoretical construct in the domain of double-loop learning that identifies the underlying assumptions and implicit criteria structuring decision-making processes, distinguishing itself from surface-level variables by regulating the fundamental values and norms that shape organizational cognition and strategic action.

85

Publications

3.1K

Citations

229

Authors

142

Institutions

Publications per year

2017–2026

22

Authors

229

  1. TH
    Tasawar Hayat

    Quaid-i-Azam University, Pakistan

    2 publications · 152 citations

    2

    h-index

  2. G̈
    Go ̈ran R. Toth

    Volvo (Sweden), Sweden

    2 publications · 41 citations

    2

    h-index

  3. SM
    Samia M. Said

    Zagazig University, Egypt

    1 publications · 13 citations

    1

    h-index

  4. CT
    Chin‐Fu Tsang

    Lawrence Berkeley National Laboratory, United States

    1 publications · 277 citations

    1

    h-index

  5. LO
    Laura Otero

    Consejo Superior de Investigaciones Científicas, Spain

    1 publications · 31 citations

    1

    h-index

1–5 of 229

Venues

  1. 3

    h-index

  2. Results in Physics

    2 publications · 128 citations

    2

    h-index

  3. Journal of Mechanics

    2 publications · 33 citations

    2

    h-index

  4. Polymer Engineering and Science

    2 publications · 146 citations

    2

    h-index

  5. Industrial & Engineering Chemistry Research

    2 publications · 54 citations

    2

    h-index

1–5