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Organizations Crisis Framework: Classification Crisis Factors with Using Conceptual Modelling

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Perspectives in Business Informatics Research (BIR 2021)

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Abstract

The issue of crisis is a constantly debated phenomenon in many scientific disciplines. The term crisis is considered as a multidisciplinary concept because conceptualization and analysis of this discussed phenomenon remains important for research. The multidisciplinary, manner of managing crisis in different fields and the complexity of examining this problem often lead to the fragmentation of this discipline. A lot of research papers focus on observation and understanding of crisis phenomena, which are aimed at compiling the concept of crisis theory. We react to the fact that an organizational crisis is specified by several attributes with causalities characterized by several crisis life cycle. These life cycles are conditioned by a number of factors that fundamentally affect crisis development. This research paper seeks to understand and explains the concept of organizational crisis through using conceptual modelling. The research goal is to identify crisis factors affecting the development of the crisis and to focus on an idea of a possible identification the crisis tipping point.

To understanding the complexities of the organizational crisis concept, the Methodology for Modeling and Analysis of Business Process (MMABP) is selected for this research. This technique works with a System ontology model represented by the conceptual model with life cycles models of organizational crisis. For conceptual modelling we use standard modelling language UML which contains diagram for sufficient modelling of the Real World modality as well as its related causality (Class Diagram and State Chart).

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Vasickova, V., Repa, V. (2021). Organizations Crisis Framework: Classification Crisis Factors with Using Conceptual Modelling. In: Buchmann, R.A., Polini, A., Johansson, B., Karagiannis, D. (eds) Perspectives in Business Informatics Research. BIR 2021. Lecture Notes in Business Information Processing, vol 430. Springer, Cham. https://doi.org/10.1007/978-3-030-87205-2_11

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  • DOI: https://doi.org/10.1007/978-3-030-87205-2_11

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