Enterprise Design, Operations, and Computing : 27th International Conference, EDOC 2023, Groningen, The Netherlands, October 30-November 3, 2023, Proceedings

Preface
Organization
Keynote Speeches
	Always Look on the Green Side of Software
	Flexible Production Value Networks a Possibility of an Utopia
	Can Processes Save the World?
	Blockchain for Business: Understanding Blockchain and How It Creates Business Value (Tutorial)
	Contents
Enterprise Modeling, Architecture and Engineering
A System Core Ontology for Capability Emergence Modeling
	1 Introduction
	2 Emergence and Systems
	3 Foundational Baseline
	4 The System Core Ontology
	5 Capability Emergence Modeling in Enterprise Architecture
	6 Emergence in the Spotify Company
	7 Related Work
	8 Final Remarks
	References
What Do I Get from Modeling?
	1 Introduction
	2 Research Baseline: A Taxonomy of Modeling Goals
	3 Research Method
	4 Results and Discussion
		4.1 Functional Goals of Modeling
		4.2 Quality Goals of Modeling
		4.3 Model Properties and Their Relation to Modeling Goals
		4.4 Assessing the Satisfaction of Modeling Goals
		4.5 Threats to Validity
	5 Related Works
	6 Conclusion
	References
A Generic and Customizable Genetic Algorithms-Based Conceptual Model Modularization Framework
	1 Introduction
	2 Foundations
		2.1 Modularization
		2.2 Conceptual Knowledge Graphs
		2.3 Genetic Algorithms
	3 Related Works
		3.1 Conceptual Models Modularization
		3.2 Modularization Metrics
	4 The Generic Genetic Modularization Framework (GGMF)
		4.1 Model Transformation and Genetic Encoding
		4.2 Objective Functions
		4.3 Selection
		4.4 Alteration
		4.5 Constraints and Termination
		4.6 Modularization Tool
	5 Evaluation
		5.1 Generic Modularization
		5.2 Objective Impact Analysis
		5.3 Comparative Analysis
	6 Threats to Validity
	7 Conclusion
	References
MARTSIA: Enabling Data Confidentiality for Blockchain-Based Process Execution
	1 Introduction
	2 Example, Problem Illustration, and Requirements
	3 Background
	4 The MARTSIA Approach
		4.1 Workflow
		4.2 Data Structures
	5 Implementation and Evaluation
	6 Related Work
	7 Conclusion and Future Remarks
	References
Model-Based Software Engineering
Building an Ontological Bridge Between Supply Chain Resilience and IoT Applications
	1 Introduction
	2 Theoretical Background
	3 Research Methodology
	4 Ontology Development
	5 Demonstration
	6 Conclusion and Further Research
	References
A Model-Driven Approach to SAP S/4HANA Development
	1 Introduction
	2 Traditional Approach
	3 Model-Driven Approach
		3.1 Importing Development Objects as Files
		3.2 Representing Development Objects as Files
		3.3 Domain Model
		3.4 Development Process
	4 Case Study
		4.1 Use Case
		4.2 Domain Model
		4.3 Development Tools
	5 Discussion
		5.1 Lines of Code Comparison
		5.2 Semi-structured Interviews
		5.3 Usability Test
	6 Related Work
	7 Conclusion and Outlook
	References
Enterprise Analysis and Improvement with Process Mining
A Methodology for the Analysis of Robotic Systems via Process Mining
	1 Introduction
	2 Bridging Robots and Process Mining
		2.1 Robotic Systems
		2.2 Process Mining
		2.3 Robotic Event Logs
	3 The TALE Methodology
		3.1 Preparation
		3.2 Analysis
	4 TALE in Practice
		4.1 Smart Agriculture Scenario
		4.2 Robots Development Technologies
		4.3 Preparation
		4.4 Analysis
	5 Related Works
	6 Conclusions and Future Works
	References
An Approach for Face Validity Assessment of Agent-Based Simulation Models Through Outlier Detection with Process Mining
	1 Introduction
	2 Background
		2.1 Face Validity Techniques for Agent-Based Simulation Models
		2.2 Achieving Face Validity Through Process Mining Techniques
	3 An Approach for Assessing Face Validity
	4 Illustrative Scenario
		4.1 The Schelling Model of Segregation
		4.2 Demonstration of the Approach
		4.3 Discussion
	5 Related Work
	6 Conclusion and Future Work
	References
Progressing from Process Mining Insights to Process Improvement: Challenges and Recommendations
	1 Introduction
	2 Background
		2.1 Process Mining Methodologies
		2.2 Use of Process Mining Insights
	3 Research Method
		3.1 Definition of Target Population and Interview Protocol
		3.2 Data Collection
		3.3 Data Analysis
	4 Findings
		4.1 Organizational Commitment
		4.2 Expertise
		4.3 Expectations
	5 Recommendations
	6 Conclusion
	References
Developing Taxonomies for Business Process Engineering
	1 Introduction
	2 Related Work
		2.1 Business Process Building Blocks
		2.2 Taxonomies
	3 Methodology
	4 The Overall Taxonomy Development Process
		4.1 Phases I, II: Identify and Motivate Problem, Define Objectives
		4.2 Phases III, IV: Design, Develop and Check Taxonomy
		4.3 Phases V, VI: Evaluate Prototype Taxonomy, Disseminate Final Taxonomy
	5 The Taxonomy Building Iterations
		5.1 Iteration 1
		5.2 Iterations 2 and 3
		5.3 Iteration 4
		5.4 Iteration 5
		5.5 Iterations 6 and 7
	6 Reflection
	7 Conclusions and Further Work
	References
Modeling in an Enterprise Context
A Taxonomy for Platform Revenue Models: An Empirical-to-Conceptual Development Approach
	1 Introduction
	2 Theoretical Background
	3 Research Design
		3.1 Determination of Meta-characteristics and Ending Conditions
		3.2 First Iteration: Conceptual Development
		3.3 Second Iteration: Empirical Development
		3.4 Third Iteration: Application in Real-Life Use Cases
		3.5 Selected Use Cases
	4 Findings
		4.1 Taxonomy for Revenue Models of Platform Business Models
		4.2 Findings from the Empirical-to-Conceptual Taxonomy Development Process
		4.3 Presentation of the Analyzed Platform Revenue Models
	5 Discussion and Conclusion
	References
Conceptual Modeling in Support of Economic and Regulatory Viability Assessment - A Reality Check on the Example of Developing an Energy Community
	1 Introduction
	2 Regulation and Business Development: Challenges
	3 Reality Check
		3.1 Step 1: Identify Regional Regulatory Conditions
		3.2 Step 2: Designing the Value Network
		3.3 Step 3: Regulatory Analysis of the Value Network
		3.4 Iteration of Step 2: (Re-)designing the Value Network
	4 Discussion and Next Steps
	5 Conclusions
	References
Author Index