Practice of Enterprise Modeling

Practice of Enterprise Modeling

17th IFIP Working Conference, PoEM 2024, Stockholm, Sweden, December 3-5, 2024, Proceedings

Paja, Elda; Kavakli, Evangelia; Zdravkovic, Jelena; Stirna, Janis

Springer International Publishing AG

01/2025

293

Mole

9783031779077

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Enterprise Modelling for Digital Transformation and Industry Applications.- Enterprise Modelling Support for the Transition of Manufacturing Enterprises Towards Circular Economy.- The challenge of digitally improving a nonprofit associative enterprise for the occupational risk prevention of healthcare professionals.- Fostering Digital Progression of Society: Exploratory Case Studies of Third Place for Services.- Using Enterprise Modeling for Dealing with Complexity of Elderly Care in Sweden.- Evaluation of Categorization Patterns for Conceptual Modeling of IoT Applications.- Advances in Enterprise Modelling Techniques SmartCML: A Visual Modeling Language to Enhance the Comprehensibility of Smart Contract Implementations.- Assessing Model Quality Using Large Language Models.- Grass-Root Enterprise Modelling: How Large Language Models can Help.- Investigating the Effectiveness of Feedback-driven Exercises on Deadlock Detection Skills in Conceptual Modelling.- Knowledge Graphs as a Scholarly Data Fabric: a Data Silo Transformation Pipeline with Visualization Semantics.- Process Mining and Business Process Analysis Enriching Business Process Event Logs with Multimodal Evidence.- Towards Timeline-based Layout for Process Mining.- Conceptualisation and (Meta)modelling of Problem-Solution Chains in early Business-IT Alignment and System Design.- Security, Compliance, and Configuration in Enterprise Modeling SymboleoAC: An Access Control Model for Legal Contracts.- Functional Security in Automation: The FAST Approach.- Configuration of Software Product Lines Driven by the Softgoals: the TEAEM Approach.- The Dual Nature of Organizational Policies.
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enterprise modeling;enterprise architecture;conceptual modeling;process mining;business process management;software product lines;model-based software engineering;large language models;meta modeling