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Simulation Model of Planning Financial and Economic Indicators of an Enterprise on the Basis of Business Model Formalization

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Data-Centric Business and Applications

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 30))

Abstract

The methodical and applied aspects of the simulation model implementation to the system of planned financial and economic indicators of the enterprise are considered. It is performed with a usage of a formal description of its main business processes. By means of both classical economic-statistical methods and the newest methods of analysis, in particular neural network technologies, the dynamics of key factors of the simulation model are studied, which are crucial for the formation of metrics of such planning indicators. Possibility of implementing invariant scenarios for the development of financial and economic situation with a strict identification of the system of financial and economic indicators and the dynamics of their metrics on a certain horizon of planning is demonstrated.

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Author information

Authors and Affiliations

  1. Lviv Polytechnic National University, Bandera Street, 12, Lviv, Ukraine

    Stepan Vorobec, Vasyl Kozyk, Olena Zahoretska & Viktoria Masuk

Authors
  1. Stepan Vorobec
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  2. Vasyl Kozyk
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  3. Olena Zahoretska
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  4. Viktoria Masuk
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Corresponding author

Correspondence to Olena Zahoretska .

Editor information

Editors and Affiliations

  1. Department of e-Business, Faculty of Business, Economics and Statistics, University of Vienna, Vienna, Wien, Austria

    Natalia Kryvinska

  2. Department of Information Systems, Faculty of Management, Comenius University, Bratislava, Slovakia

    Michal Greguš

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Vorobec, S., Kozyk, V., Zahoretska, O., Masuk, V. (2020). Simulation Model of Planning Financial and Economic Indicators of an Enterprise on the Basis of Business Model Formalization. In: Kryvinska, N., Greguš, M. (eds) Data-Centric Business and Applications. Lecture Notes on Data Engineering and Communications Technologies, vol 30. Springer, Cham. https://doi.org/10.1007/978-3-030-19069-9_12

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