Design Science Methodology as a Framework for Artefact Creation and Risk-Informed Modelling

In the face of complex contemporary challenges—ranging from global crises to rapid digital transformation—Design Science Methodology (DSM) offers a structured approach for developing innovative, research-based artefacts that address real-world problems. This paper explores DSM as a paradigm that merges technological design with human-centered considerations, emphasizing the dual importance of artefact creation and the integration of human factors in risk assessment and decision-making models. Through a combination of literature review, systematic analysis, and a dedicated survey conducted among IT students, the study identifies key features that enhance the practical relevance and adaptability of DSM-based models. The findings underline the growing need to consider human behavior, skills, and psychological responses when designing artefacts—particularly in domains such as cybersecurity and organizational systems. The paper contributes to ongoing discourse by highlighting methodological gaps, especially in the evaluation of human factors, and by proposing directions for future DSM applications that are both ethically sound and contextually aware.