They were organized in topical sections as follows: Enterprise Modeling, Enterprise Architecture & Engineering, Model-Based Software Engineering, Enterprise Analysis with Process Mining, Process Improvement & Engineering, and Modeling in an Enterprise Context.

​Enterprise Modeling, Architecture & Engineering.- A System Ontology for Emergence Modeling.- What do I get from modeling?.- A Generic and Customizable Genetic Algorithms-based Conceptual Model Modularization Platform.- MARTSIA: Enabling Data Confidentiality for Blockchain-based Process Execution.- Model-Based Software Engineering.- Building an Ontological Bridge between Supply Chain Resilience and IoT Applications.- A Model-Driven Approach to SAP S/4HANA Development.- Enterprise Analysis and Improvement with Process Mining.- A Methodology for the Analysis of Robotic Systems via Process Mining.- An Approach for Face Validity Assessment of Agent-Based Simulation Models through Outlier Detection with Process Mining.- Process Mining Insights to Process Improvement: Challenges and Recommendations.- Developing Taxonomies for Business Process Engineering.- Modeling in an Enterprise Context.- A Taxonomy for Platform Revenue Models: An Empirical-to-Conceptual Development Approach.- Conceptual Modeling in Support of Economic and Regulatory Viability Assessment - A Reality Check on the Example of Developing an Energy Community.