Argyris Double-Loop LearningvsMaslach Burnout Inventory (MBI) and Areas of Worklife Survey (AWS) Model
See exactly how Argyris Double-Loop Learning controls map to Maslach Burnout Inventory (MBI) and Areas of Worklife Survey (AWS) Model. Pre-computed mappings, identified gaps, and coverage analysis.
According to the TheArtOfService Compliance Knowledge Graph:
Argyris Double-Loop Learning maps to Maslach Burnout Inventory (MBI) and Areas of Worklife Survey (AWS) Model with 15% coverage across 4 directly mapped controls. Analysis of 27 Argyris Double-Loop Learning controls identifies 23 compliance gaps — primarily concentrated in Defensive Routines and Learning.
Source: TheArtOfService Knowledge Graph | 27 controls analysed | 723 frameworks | 332K+ cross-framework mappings
Control Mappings
Showing 4 of 4 mapped controls across 2 domains. Sign up to explore all 332K+ mappings across 723 frameworks.
Learning Loops(2 mappings)
Theories of Action(2 mappings)
Related Comparisons
Other Argyris Double-Loop Learning comparisons
Other Maslach Burnout Inventory (MBI) and Areas of Worklife Survey (AWS) Model comparisons
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What are the key differences between Argyris Double-Loop Learning and Maslach Burnout Inventory (MBI) and Areas of Worklife Survey (AWS) Model?
Argyris Double-Loop Learning has 27 controls across its framework, while Maslach Burnout Inventory (MBI) and Areas of Worklife Survey (AWS) Model covers 8 controls. Direct mapping analysis identifies 4 overlapping controls (15% coverage). The frameworks diverge most significantly in Defensive Routines and Learning, where 5 Argyris Double-Loop Learning controls have no direct Maslach Burnout Inventory (MBI) and Areas of Worklife Survey (AWS) Model equivalent.
How many controls map between Argyris Double-Loop Learning and Maslach Burnout Inventory (MBI) and Areas of Worklife Survey (AWS) Model?
Of 27 total Argyris Double-Loop Learning controls, 4 map directly to Maslach Burnout Inventory (MBI) and Areas of Worklife Survey (AWS) Model controls — representing 15% coverage. The remaining 23 controls represent compliance gaps requiring additional documentation or compensating controls to satisfy both frameworks simultaneously.
What are the compliance gaps when mapping Argyris Double-Loop Learning to Maslach Burnout Inventory (MBI) and Areas of Worklife Survey (AWS) Model?
23 Argyris Double-Loop Learning controls have no direct equivalent in Maslach Burnout Inventory (MBI) and Areas of Worklife Survey (AWS) Model. The highest concentration of gaps is in Defensive Routines and Learning with 5 unmapped controls. These gaps represent areas where additional controls, policies, or documentation must be created to achieve compliance with both frameworks.
Which control domains have the most gaps between Argyris Double-Loop Learning and Maslach Burnout Inventory (MBI) and Areas of Worklife Survey (AWS) Model?
The domain with the highest gap count is Defensive Routines and Learning (5 gaps). Export the full domain-by-domain gap breakdown via the Professional tier to generate a prioritised remediation roadmap.
Related Resources
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