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
Parents
85
Jonny Rutqvist, L. Börgesson, M. Chijimatsu et al. · International Journal of Rock Mechanics and Mining Sciences · 2001 · 277 citations
Constructing Chaotic Systems with Total Amplitude Control
Chunbiao Li, J. C. Sprott, Zeshi Yuan et al. · International Journal of Bifurcation and Chaos · 2015 · 126 citations
Simulation of ferromagnetic nanomaterial flow of Maxwell fluid
Tasawar Hayat, Salman Ahmad, M. Ijaz Khan et al. · Results in Physics · 2017 · 94 citations · Full text
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142
Quaid-i-Azam University
Islamabad, Pakistan
3 h-index
6 publications
374 citations

Universidad Politécnica de Madrid
Madrid, Spain
2 h-index
4 publications
132 citations

NSF National Center for Atmospheric Research
Boulder, United States
2 h-index
3 publications
117 citations

Lawrence Berkeley National Laboratory
Berkeley, United States
2 h-index
5 publications
1K citations
Volvo (Sweden)
Gothenburg, Sweden
2 h-index
2 publications
41 citations
University of California, Davis
Davis, United States
2 h-index
5 publications
127 citations
National Cheng Kung University
Tainan City, Taiwan
2 h-index
3 publications
38 citations

University of Basilicata
Potenza, Italy
1 h-index
2 publications
54 citations
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3 publications · 60 citations
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2 publications · 128 citations
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2 publications · 33 citations
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2 publications · 146 citations
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2 publications · 54 citations
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