Regression-Based Recovery Time Predictions in Business Continuity Management: A Public College Case Study

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24310%2F20%3A00007846" target="_blank" >RIV/46747885:24310/20:00007846 - isvavai.cz</a>

Result on the web

<a href="https://www.igi-global.com/chapter/regression-based-recovery-time-predictions-in-business-continuity-management/266112" target="_blank" >https://www.igi-global.com/chapter/regression-based-recovery-time-predictions-in-business-continuity-management/266112</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.4018/978-1-7998-4978-0.ch020" target="_blank" >10.4018/978-1-7998-4978-0.ch020</a>

Result language

angličtina

Original language name

Regression-Based Recovery Time Predictions in Business Continuity Management: A Public College Case Study

Original language description

Business Continuity is crucial for modern public organizations. It enables the uninterrupted operation of critical business functions and services in the event of an unexpected crisis situation. A key business continuity activity is to set proactively and non-arbitrarily recovery priorities while computing the Recovery Time Effort (RTE) for these functions. The specific activity requires the consideration of technical and environmental factors of individual business functions in order to compute mathematically their recovery time. A recently published formula stems from the Business Continuity Points method. Its limitation has been the absence of real data during its conception. The purpose of the chapter is firstly, to use business continuity data from a public college in order to validate the initial formula and, secondly, to infer a new more accurate and robust RTE equation based on regression analysis techniques. The inferred RTE formula can be used as input for predicting service availability rates.

Czech name

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Czech description

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Type

C - Chapter in a specialist book

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2020

Confidentiality

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

Book/collection name

Handbook of Research on Global Challenges for Improving Public Services and Government Operations

ISBN

978-1-79984-978-0

Number of pages of the result

29

Pages from-to

380-408

Number of pages of the book

630

Publisher name

IGI Global

Place of publication

Pennsylvania, USA

UT code for WoS chapter

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