Keywords: BPMN, Facade Maintenance, System Dynamics
Astract: Business process modeling and system dynamics are different approaches that are used in the design and management of organizations. Both approaches are concerned with the processes in, and around, organizations with the aim to identify, design and understand their behavior as well as potential improvements. At the same time, these approaches differ considerably in their methodological focus. While business process modeling specifically takes the (control flow of) business processes as its primary focus, system dynamics takes the analysis of complex and multi-faceted systems as its core focus. More explicitly combining both approaches has the potential to better model and analyze (by way of simulation) complex business processes, while specifically also including more relevant facets from the environment of these business processes. Furthermore, the inherent ability for simulation of system dynamics models, can be used to simulate the behavior of processes over time, while also putting business processes in a broader multi-faceted context. In this paper, we report on initial results on making such a more explicit combination of business process modeling and system dynamics. In doing so, we also provide a step-by-step guide on how to use BPMN based models and system dynamics models together to model and analyze complex business processes, while illustrating this in terms of a case study on the maintenance of building facades.

Keywords: Process Models, Transformer models, Multimodal Evidence, Process Representation
Astract: Stakeholders can struggle to understand and engage with process models due to a mismatch between the technical language used and their own domain-specific jargon and personal communication styles. The paper explores the application of transformer-based architectures to enhance the representation of process models and additional multimodal process data by tailoring them to the language of stakeholders. We present an approach that personalizes process model representations through two types of paraphrasers: one that aligns with domain-specific jargon and another that adapts to individual stakeholder styles. We developed a golden dataset from process model-stakeholder interaction simulation and a silver dataset using large language models to train and validate our approach. Initial findings suggest that these methods could enhance stakeholder engagement and contribute to better teaching of process mining and procedural thinking.

Keywords: Textbook, Conceptual Modeling, Ontology-Guided Modeling

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Keywords: data strategy, data management, semiotic triangle
Astract: It appears that, in an increasingly digital world, data is becoming more and more important for organizations. In several real-world cases in the Netherlands, we have seen that organizations struggle with issues such as: a) What data do we have? b) Which data do we need for value creation? c) Which strategic choices do we make around using data? d) Which strategic choices do we make around managing data as an asset? And e) Which skills do our people need in light of the previous items? The context for these organizations is different, but the challenges are the same. Our position is that the use of models can help to get to grips with the complexity of the aforementioned challenges. In this paper we explore a) the relationship between data and models, and b) a framework that connects data management as a means to care for data as an asset, and data as a means to achieve strategic objectives of the organization. In developing the latter, we follow a design science approach; we explore cases to understand challenges and requirements for such a framework as well as show how the framework helped to solve the challenges in these organizations.