Afonina, Valeriia
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Valeriia
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Valeriia Afonina
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Publikation Visualizing argumentation for research problem and research design(Springer, 2024) Hinkelmann, Knut; Afonina, Valeriia; Montecchiari, Devid; Mandviwalla, Munir; Söllner, Matthias; Tuunanen, TuureIdentification of a research-worthy problem, choosing the appropriate research design, and writing based on the conducted research high-quality research paper with a well-structured argumentation is a complex and multifaceted process. Therefore, employing a comprehensive approach when identifying a research problem and composing research papers is crucial to structuring the process. Design Science Research (DSR) is a commonly applied strategy in research in Information Systems. Even though this methodology has a detailed description of every research phase, for some novice researchers it is challenging to have a comprehensive overview of their research project, from the argumentation of the studied problem to the evaluation of the results. We claim that conceptual modeling can visually represent these argumentations and key elements of DSR. We provide a metamodel to represent relevant aspects of the research and the connections between them, which might be depicted as graphical elements and connectors. This approach significantly improves understanding and structuring of the research problem and design, leveraging on literature about argumentation and motivation modeling.04B - Beitrag KonferenzschriftPublikation Enhancing research clarity. Ontology-based modeling of argumentation in RPML(Springer, 2024) Hinkelmann, Knut; Afonina, Valeriia; Montecchiari, Devid; Almeida, João Paulo A.; Di Ciccio, Claudio; Kalloniatis, ChristosNavigating the research process, from problem identification to argumentation construction, challenges novice researchers. This study introduces RPML (Research Problem Modeling Language), a metamodel and ontology designed to address these challenges by visually representing key aspects of research argumentation. RPML enhances clarity and coherence in research discourse by providing researchers with a visual representation of argumentation for a research problem. RPML is represented as a specialization of the OMG Business Motivation Model and Toulmin’s argumentation model approach. This enables researchers to gain a comprehensive overview of their research projects, identify research problems, build robust argumentation, and select suitable research strategies.04B - Beitrag KonferenzschriftPublikation Enriching enterprise architecture models with healthcare domain knowledge(Springer, 2023) Afonina, Valeriia; Hinkelmann, Knut; Montecchiari, DevidEnterprise architecture (EA) modeling gives an opportunity to have an overview of the enterprise architecture supporting business-IT alignment within the rapidly changing environment. Visual representation of enterprise architecture models is appropriate for interpretation by humans. Machines, however, cannot interpret labels associated with the model element, as well as its domain-specific concepts. To make EA models machine-interpretable, a graphical representation of models shall be connected to domain knowledge. This research demonstrates an approach to enriching the EA model of a medical institution with healthcare domain knowledge. Evaluation of the developed solution proves that a human and a machine could equally understand the ontology-based EA model.04B - Beitrag Konferenzschrift