Mateja Bule

To bridge the gap between the digital and physical worlds, we need systems that can effectively transform reality into computable signals. This perspective paper examines key challenges in such transformation related to the gap between fine-grained sensor signals and activity-level events used in process intelligence tools. We examine these challenges along two perspectives. The first perspective considers two ways on how sensor data is entered into the event log—either sensor readings are abstracted to create new event information, or event information is already present, and sensor data enriches it with new context. The second perspective concerns the maturity of the operating process itself, considering how process maturity may influence the feasibility, reliability and potential usefulness of IoT integration. Integration is therefore not only a technical question of how sensor data becomes process events, but also a prior question of whether and when it is justified. We propose a conceptual perspective on this relationship and identify candidate assessment areas that could form a basis for a future IoT-enabled process mining maturity model; these areas are not empirically validated in this study. We close by considering auditable event logs as a basis for accountability as autonomous systems become more widespread.

The Case Management Model and Notation (CMMN) supports the modeling of dynamic, semi-structured, and knowledge-intensive processes, but its adoption remains limited due to conceptual and visual shortcomings. Using a Design Science Research Method (DSRM), this study introduces a notational variant of CMMN, termed CMMN+, comprising three structural and visual enhancements: explicit representation of activation logic, enriched data entity modeling through semantically grounded metadata and structured role assignments based on the RACI framework. Cognitive effectiveness is analytically evaluated using the nine principles of the Physics of Notations (PoN). The analysis demonstrates clear improvements in semiotic clarity, semantic transparency and perceptual discriminability, confirming enhanced interpretability of the proposed notational variant. As expected, trade-offs arise with respect to graphic economy, while principles such as cognitive fit require subsequent empirical validation. CMMN+ constitutes a conceptually and technically grounded notational advancement in case management modeling by systematically aligning language design with cognitive-effectiveness theory. The presented results establish a strong foundation for integrating more intuitive and semantically rich modeling support into practice.

Case Management Model and Notation (CMMN) is a graphical notation used to model less predictable, highly flexible processes that may behave differently in each instance. It uses an event-centred approach and expands on what can be modelled with procedural modelling notations. Nearly a decade since the occurrence of CMMN, its practical use is questionable. We performed this research to identify possible reasons for this and to classify the potential advantages and disadvantages of CMMN. With the aforementioned objectives, we conducted a systematic literature review, which provided a broad insight into the state of the investigated object along with techniques for analysing qualitative data, coding, and successive approximation. From an initial set of 942 articles, 43 remain relevant. The results of the analysis and synthesis of the obtained data from relevant articles were generalised codes, which were used to explicitly answer the research questions. The results indicate that CMMN has good foundations in the declarative modelling approach and within the Case Management paradigm. Nevertheless, some issues were identified with the notation and elements of CMMN and with its complement—Business Process Model and Notation (BPMN).

Case Management Model and Notation (CMMN) is a graphical notation used to model less predictable, highly flexible processes that may behave differently in each instance. It uses an event-centred approach and expands on what can be modelled with procedural modelling notations. Nearly a decade since the occurrence of CMMN, its practical use is questionable. We performed this research to identify possible reasons for this and to classify potential advantages and disadvantages of CMMN. With the aforementioned objectives, our research method was a systematic literature review, which provided a broad insight into the state of the investigated object along with techniques for analysing qualitative data, coding and successive approximation. From an initial set of 942 articles, 43 remain relevant. The results of the analysis and synthesis of the obtained data from relevant articles were generalised codes, which were used to explicitly answer the research questions. Results indicate that CMMN has good foundations in the declarative modelling approach and within the Case Management paradigm. Nevertheless, some issues were identified with notation and elements of CMMN and with its complement - Business Process Model and Notation (BPMN).

Process landscapes define the scope and relationships between an organization’s business processes and are therefore essential for their management. However, in contrast to business process diagrams, where nowadays BPMN prevails, process landscape diagrams lack standardization, which results in numerous process landscape designs. Accordingly, our goal was to investigate how intuitive are current landscape designs to users with low expertise, as well as users having expertise in BPMN and landscape modeling. A total of 302 subjects participated in the research showing that previous expertise impacts the interpretation of landscape elements and designs whereas, in the case of having contextual information, subjects responded more consistently. The results also show that the basic relationships between processes are intuitive to users, also in the case when only proximity between shapes is facilitated. Our findings may imply future designs of languages for process landscapes. They also may be useful for those who actually model process landscape diagrams and search for suitable notations.

Context: With business process modelling, companies and organizations can gain explicit control over their processes. Currently, there are many notations in the area of business process modelling, where Business Process Model and Notation (BPMN) is denoted as the de facto standard. Aims: The aim of this research is to provide the state-of-the-art results addressing the acceptance of BPMN, while also examining the purposes of its usage. Furthermore, the advantages, disadvantages and other interests related to BPMN were also investigated. Method: To achieve these objectives, a Systematic Literature Review (SLR) and a semantic examination of articles? citations was conducted. Results: After completing SLR, out of a total of 852 articles, 31 were deemed relevant. The majority of the articles analyzed the notation and compared it with other modelling techniques. The remainder evaluated general aspects of the notation, e.g. history and versions of the standard, usage of the notation or tools. Conclusion: Our findings demonstrate that there are empirical insights about the level of BPMN acceptance. They suggest that BPMN is still widely perceived as the de facto standard in the process modelling domain and its usage is everincreasing. However, many studies report that only a limited set of elements are commonly used and to this end, several extensions were proposed. The main purpose of BPMN remains the description of business processes.