Single-loop Learning
Single-Loop Learning is a form of organizational learning in which individuals or organizations detect and correct errors by modifying their actions to reduce the gap between expected and actual outcomes while leaving underlying norms, assumptions, goals, and policies unchanged.
72
Publications
6.2K
Citations
134
Authors
87
Institutions
Publications per year
2017–2026
16
72
1–5 of 72
134
3
h-index
3
h-index
3
h-index
2
h-index
2
h-index
1–5 of 134
87
Boston College
Boston, United States
3 h-index
3 publications
127 citations

University of Manchester
Manchester, United Kingdom
2 h-index
2 publications
305 citations

City University of Hong Kong
Hong Kong, Hong Kong
2 h-index
2 publications
81 citations

University of Plymouth
Plymouth, United Kingdom
2 h-index
2 publications
56 citations
University of Pittsburgh
Pittsburgh, United States
2 h-index
2 publications
30 citations
Massachusetts Institute of Technology
Cambridge, United States
2 h-index
2 publications
26 citations
Graduate School USA
Washington, United States
1 h-index
1 publications
1.2K citations
Texas A&M University
College Station, United States
1 h-index
1 publications
323 citations
1–8 of 87
3 publications · 48 citations
3
h-index
2 publications · 185 citations
2
h-index
JABS · 2 publications · 91 citations
2
h-index
IJM · 2 publications · 76 citations
2
h-index
2 publications · 68 citations
2
h-index
1–5