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Decision governance
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Requirements Engineering
Decision Analysis
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Decision Analysis
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Transparency: When Is More Better?
Transparency: Is Less Always Worse?
How To Measure The Quality of Decision Governance?
Values → Preferences: How Values Shape Preferences
Expectations: How They Form If Decision Makers Are Distant
Expectations: Different Definitions, Always About the Future
Competence → Authority: More Is Usually More
When To Delegate Decision Authority?
Attention → Emotion: How Attention Mediates Emotions in Decision Making
Emotion ⇄ Mood: How They Interact and Why This Is Important for Decision Governance
Crowding-In Effect: The Right Incentives Amplify the Right Motives
Crowding-Out Effect: The Wrong Incentives Erode the Right Motives
Social Learning: How to Accelerate It
Social Learning: Impact on Decision Making Behavior
Goals: How Goals Shape Decisions
Social Hierarchies: Why They Matter for Decision Governance
Incentives: Building An Incentive Mechanism From Scratch
Incentives: Example of a Common Incentive Mechanism
Governance Dynamics: Case-Based Development of Decision Governance
Motivated Reasoning: How To Detect And Mitigate Its Risks
Impressions Of Others: How They Influence Decisions And How To Regulate Them
Punctuated Equilibrium: How To Know If A Decision Process Is Ready For Disruption
Incrementalism: What It Is, And When/How To Implement It In Decision Governance
How a Decision Process Can Create Evidence of Compliance
Adapting a Decision Process to Comply with a Policy
What is the Role of Public Policy in Decision Governance?
Group Decision-Making: Common Models in Organizational Theory
Individual Decision-Making: Common Models in Psychology
Group Decision-Making: Common Models in Economics
Individual Decision-Making: Common Models in Economics
Decision Governance Is Interdisciplinary
Who are the Stakeholders of Decision Governance?
The Design Space for Decision Governance
Emotions Mediate Decisions Always and Everywhere
Selective Memory Can Be Desirable
Attention Depends on Stimuli & Goals
Perceptiveness & Experience Shape Rapid Choices
Expected Uncertainty to Unexpected Utility
Max(Utility) from Variety & Taste
Decision Governance Concepts: Outcomes to Explanations
What Is a High Quality Decision?
Are Easy Options the Likely Choice?
Who Is Responsible for Decision Governance in a Firm?
When Is a Career Resilient to AI?
Algorithmic Accountability Act for AI Product Managers: Section 3
Critical Decision Concept in the Algorithmic Accountability Act
Algorithmic Accountability Act of 2022 and AI Design
Choice in Absence of Utility and Probability Estimates
Advice and Requirements in a Decision Problem
Requirements Satisfaction as Expected Utility Maximization
Requirements as Decision Criteria
Specialization Costs in Functional Organization
Nurtured Choice
Limits of Decentralized Autonomous Organizations (DAO)
Economics of the Acceptability of an Argument
Hybrid Definition Networks and Their Role in Innovation
How Definitions Influence Future Choices
How Definitions Embed Past Choices
Theories of Definition: Kant
Define/Destroy: A Paradox to Accelerate Innovation
Requirements Loops: Decomposing an Example
Requirements Loops: Examples
Requirements Loops: Definition & Purpose
Requirements Contracts: Definition, Design, and Analysis
From Decision Theory to Techne, and back
Opaque, Complex, Biased, and Unpredictable AI
When Is a Design Problem a Sequence of Decision Problems?
What Is Evidence?
What Is an Explanation?
Building University Spin-Offs from Research on Decision-Making
Quality Assurance for AI: An Inevitable Tradeoff
What If People Learn Requirements Over Time?
Requirements Problem and Solution Concepts for Adaptive Systems Engineering
On Notification Importance for Online Social Network Users
Choosing Compliance Solutions through Stakeholder Preferences
Structure and Design of Business Analysis and Requirements Engineering Methods
Product Portfolio Scope Optimization based on Features and Goals
Mixed-Variable Requirements Roadmaps for Adaptive Systems
Dealing with Quality Tradeoffs during Service Selection
Engineering Pluripotent Information Systems
Capturing and Using QoS Relationships to Improve Service Selection
Continually Learning Optimal Allocations of Services to Tasks
Dynamic Web Service Composition within a Service-Oriented Architecture
Books
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The Design of Requirements Modelling Languages
Analysis and Design of Advice
Papers
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The Design of Requirements Modelling Languages
Requirements Problem and Solution Concepts for Adaptive Systems Engineering
Analysis and Design of Advice
Justifying Goal Models
Semantic Scholar
(1)
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Requirements Problem and Solution Concepts for Adaptive Systems Engineering, and their Relationship to Mathematical Optimisation, Decision Analysis, and Expected Utility Theory
DBLP
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Requirements Problem and Solution Concepts for Adaptive Systems Engineering, and their Relationship to Mathematical Optimisation, Decision Analysis, and Expected Utility Theory.
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