Content

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   List of Acronyms
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   List of Figures
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   List of Tables
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   I Problem Identification and Solution Objectives
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  Introduction
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   Context: The Need for Decision Support
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   Motivation: Inappropriate Decision Support
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   Problem Statement: Tailored DSS Unavailability
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   Objective: Assisted DSS Creation by Decision Makers
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   Research Approach: Design Science
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   Research Overview: Contributions and Publications
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   Thesis Structure
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  Individuality of Decision Making
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   Context: Energy Distribution Network Planning
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  Decision Making Foundations
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   Decision Problems
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   Decision Quality
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   Decision Process
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   The Meta-Level of Decision Making
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   Situational Factors of Decision Making
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   VUCA and Its Effect on Situational Decision Making
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   Key Takeaways
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  Requirements and Related Work
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   Requirements
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  Related Trends in Software Development
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   Service-Oriented Computing
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   Low-Code Development
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   Related Work
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   Adaptive Decision Support Systems
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   DSS Generators
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   Service-Oriented DSS
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   Distantly Related Research Areas and Approaches
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   Key Takeaways
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   II Solution Design and Development
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  Decision Support Ecosystems
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   Background: Digital Business Ecosystems
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   Definition
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   Characteristics
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   Types
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   Benefits
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  Towards Decision Support Ecosystems
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   Definition and Categorization of a DSE
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   Relation to the Challenges of Tailored DSS Development
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   Complexity of DSE Implementation
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   DSE Design Principles
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  DSE Constituents
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   Types of Decision Support Services
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   DSE Roles
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   DSE Lifecycle
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   Reference Architecture for a DSE Platform
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   Key Takeaways
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   Description of Decision Support Services
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   Context and Upfront Considerations
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   Description Requirements
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  Background and Related Work
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   Decision Support Ontologies
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   General-Purpose Service Description Languages
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   A Meta-Model for Decision Support Services
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   Package ``Data''
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   Package ``Computation''
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   Package ``Optimization''
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   Package ``Resources''
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   Package ``Services''
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   Package ``DSS Requirements''
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   Prototypical Implementation
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   Discussion
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   Key Takeaways
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   Process-Driven Decision Support Systems
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   Composition Requirements
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   Background and Related Work
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   Architectural Considerations
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  Composition of Decision Support Services with BPMN
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   Functional & Operational Perspective: Tasks and Subprocesses
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   Informational Perspective: Data and Data Associations
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   Behavioral Perspective: Sequence Flows, Gateways & Events
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   Prototypical Implementation
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   Implementation of the PD-DSS Design Application
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   Implementation of the PD-DSS Enactment Application
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   Discussion
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   Key Takeaways
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   Composition Assistance
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  Upfront Design Considerations
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   Approaches to Composition Assistance
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   Integration into the DSE Platform
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   Documentation of Validation Rules
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   Cross-Cutting Requirements
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  Operational Composition Assistance
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   Motivational Scenario
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   Requirements
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   Background and Related Work
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   Design and Demonstration
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   Discussion
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  Informational Composition Assistance
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   Motivational Scenario
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   Requirements
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   Background and Related Work
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   Design and Demonstration
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   Prototypical Implementation
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   Discussion
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  Functional and Behavioral Composition Assistance
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   Motivational Scenario
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   Requirements
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   Background and Related Work
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   Design and Demonstration
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   Prototypical Implementation
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   Discussion
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   Key Takeways
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   III Solution Discussion
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   Case-Study Evaluation
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   Context: Research Project ``FlexiEnergy''
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  Phase 1 – Foundation
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   Domain Documentation: Data Types and Metadata Attributes
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   Domain Documentation: Computation Methods
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   Descriptions of Decision Support Services
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   Relation to Requirements for Tailored DSS Development
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  Phase 2 – Design
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   Cross-Sector Distribution Network Planning
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   Electricity Distribution Network Planning with DSM
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   DSM Benchmarking / Meta Decision Making
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   Relation to Requirements for Tailored DSS Development
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   Phase 3 – Enactment
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   PD-DSS Instantiation
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   PD-DSS Usage
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   Relation to Requirements for Tailored DSS Development
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  Phase 4 – Improvement
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   Feedback: PD-DSS and Service Reviews
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   Composition Knowledge: Anti-Patterns
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   Relation to Requirements for Tailored DSS Development
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   Threats to Validity
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   Key Takeaways
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  Summary and Future Work
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   Summary of Contributions
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   Future Work
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   References
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   Index of Definitions
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  Appendix Composition Assistance Supplement
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   Completeness Validation of PD-DSS Process Models
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   Completeness of the Operational Perspective
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   Completeness of the Informational Perspective
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   Completeness of the Functional and Behavioral Perspectives
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  Transformation Changes
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   Nonexistent Flows
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   Conditions on Nonsequential Flows
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   Appendix Prototypical Implementation