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Maslach Burnout Inventory (MBI) and Areas of Worklife Survey (AWS) ModelvsArgyris Double-Loop Learning

See exactly how Maslach Burnout Inventory (MBI) and Areas of Worklife Survey (AWS) Model controls map to Argyris Double-Loop Learning. Pre-computed mappings, identified gaps, and coverage analysis.

4
Controls Mapped
4
Gaps Found
38%
Coverage

According to the TheArtOfService Compliance Knowledge Graph:

Maslach Burnout Inventory (MBI) and Areas of Worklife Survey (AWS) Model maps to Argyris Double-Loop Learning with 38% coverage across 3 directly mapped controls. Analysis of 8 Maslach Burnout Inventory (MBI) and Areas of Worklife Survey (AWS) Model controls identifies 5 compliance gaps — primarily concentrated in Governance and Continuous Improvement - Maslach MBI AWS Model.

Source: TheArtOfService Knowledge Graph | 8 controls analysed | 718 frameworks | 330K+ cross-framework mappings

Control Mappings

Showing 4 of 4 mapped controls across 3 domains. Sign up to explore all 330K+ mappings across 718 frameworks.

Six AWS Areas - Maslach MBI AWS Model(2 mappings)

MBI-AWS-Areas-of-Worklife-Survey-Six-Domains-Workload-Control-Reward-Community-Fairness-ValuesAWS Six Areas + Workload + Control + Reward + Community + Fairness + Values2 targets
→ARGYRIS-DLDouble-Loop Learning - questioning and modifying underlying assumptions, values, and policies
→ARGYRIS-M1Model I Behavior - unilateral control, win-lose framing, suppression of negative feelings, defensiveness

Three MBI Dimensions - Maslach MBI AWS Model(1 mappings)

MBI-AWS-Three-Dimensions-Emotional-Exhaustion-Depersonalization-Cynicism-Personal-Accomplishment-Professional-EfficacyMBI Three Dimensions + Emotional Exhaustion + Depersonalization Cynicism + Personal Accomplishment Professional Efficacy
→ARGYRIS-TUTheory-in-Use - the theory of action actually governing behavior, often unconscious and different from espoused

MBI Versions - Maslach MBI AWS Model(1 mappings)

MBI-AWS-Versions-HSS-Human-Services-MP-Medical-ES-Educators-GS-General-GS-S-Students-30-LanguagesMBI Versions + HSS Human Services + MP Medical Personnel + ES Educators + GS General + GS-S Students + 30+ Languages
→ARGYRIS-SLSingle-Loop Learning - correcting errors within existing governing variables without questioning assumptions

Related Comparisons

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Other Argyris Double-Loop Learning comparisons

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What are the key differences between Maslach Burnout Inventory (MBI) and Areas of Worklife Survey (AWS) Model and Argyris Double-Loop Learning?

Maslach Burnout Inventory (MBI) and Areas of Worklife Survey (AWS) Model has 8 controls across its framework, while Argyris Double-Loop Learning covers 27 controls. Direct mapping analysis identifies 3 overlapping controls (38% coverage). The frameworks diverge most significantly in Governance and Continuous Improvement - Maslach MBI AWS Model, where 1 Maslach Burnout Inventory (MBI) and Areas of Worklife Survey (AWS) Model controls have no direct Argyris Double-Loop Learning equivalent.

How many controls map between Maslach Burnout Inventory (MBI) and Areas of Worklife Survey (AWS) Model and Argyris Double-Loop Learning?

Of 8 total Maslach Burnout Inventory (MBI) and Areas of Worklife Survey (AWS) Model controls, 3 map directly to Argyris Double-Loop Learning controls — representing 38% coverage. The remaining 5 controls represent compliance gaps requiring additional documentation or compensating controls to satisfy both frameworks simultaneously.

What are the compliance gaps when mapping Maslach Burnout Inventory (MBI) and Areas of Worklife Survey (AWS) Model to Argyris Double-Loop Learning?

5 Maslach Burnout Inventory (MBI) and Areas of Worklife Survey (AWS) Model controls have no direct equivalent in Argyris Double-Loop Learning. The highest concentration of gaps is in Governance and Continuous Improvement - Maslach MBI AWS Model with 1 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 Maslach Burnout Inventory (MBI) and Areas of Worklife Survey (AWS) Model and Argyris Double-Loop Learning?

The domain with the highest gap count is Governance and Continuous Improvement - Maslach MBI AWS Model (1 gaps). Export the full domain-by-domain gap breakdown via the Professional tier to generate a prioritised remediation roadmap.

Related Resources

How to Map Controls Across Frameworks|Multi-Framework Compliance Guide|Compliance Glossary

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