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Optimum classification method of critical IT business functions for efficient business impact analysis

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24310%2F16%3A00000900" target="_blank" >RIV/46747885:24310/16:00000900 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Optimum classification method of critical IT business functions for efficient business impact analysis

  • Original language description

    Business Impact Analysis (BIA) helps develop business recovery objectives by determining how disruptions affect various organizational activities. The criticality ranking of a given IT business function is an informally conducted task during the BIA procedure. Some experts underline that various market intermediaries relate the criticality of a given function to its estimated recovery time or to the impact that an outage would have from a financial, customer or other aspect. Other experts state that high criticality ranking is related to business functions that contain intricate and complex procedures. The current paper introduces a standard mathematical decision making approach for the classification of critical business functions based on their complexity. The method is based on the Use Case Points method for software complexity estimation. Its formal illustration is based on decision tree classification algorithms implemented with the R-Studio software. The approach aims to the simple and effective conducting of the BIA process for a given business function.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    AE - Management, administration and clerical work

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2016

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    34th International Conference on Mathematical Methods in Economics

  • ISBN

    978-80-7494-296-9

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    693-698

  • Publisher name

    Technical University of Liberec

  • Place of publication

    Liberec

  • Event location

    Liberec, Czech Republic

  • Event date

    Jan 1, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000385239500119