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Patterns for Using Fractal Enterprise Modelling in Operational Decision-Making

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Enterprise Information Systems (ICEIS 2021)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 455))

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Abstract

A pattern is a concept widely used in engineering and other disciplines for variety of purpose, e.g. business or system analysis. In this work, we present the concept of patterns usage within enterprise modelling. The undertaking is a part of the larger case study dedicated to Fractal Enterprise Modelling (FEM) development deploying Design Science (DS) research methodology. Based on the case study, we have identified three FEM related patterns: one modelling pattern and two analyzing patterns. A modeling pattern advises on a proper way of building a model for a particular purpose, while an analysis pattern helps to find places in a business where a decision could/should be made. More precisely, the modelling pattern identified in this study helps to build a model on an appropriate level of granularity for a certain purpose (operational decision-making). The analysis patterns identified in the study are divided into two categories of patterns: transformational patterns and problem patterns. Transformational pattern is a pattern that contains a condition and an action parts that represent a standardized solution or an opportunity. Problem pattern is a pattern that expresses conditions where a problem might exist without specifying a definite action. These patterns contribute into the creation of the bank of patterns to guide practitioners in modelling and analyzes of the business situations using FEM.

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Correspondence to Ilia Bider .

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Klyukina, V., Bider, I., Perjons, E. (2022). Patterns for Using Fractal Enterprise Modelling in Operational Decision-Making. In: Filipe, J., Śmiałek, M., Brodsky, A., Hammoudi, S. (eds) Enterprise Information Systems. ICEIS 2021. Lecture Notes in Business Information Processing, vol 455. Springer, Cham. https://doi.org/10.1007/978-3-031-08965-7_23

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  • DOI: https://doi.org/10.1007/978-3-031-08965-7_23

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