Regression-Based Recovery Time Predictions in Business Continuity Management: A Public College Case Study
Identifikátory výsledku
Kód výsledku v 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>
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Regression-Based Recovery Time Predictions in Business Continuity Management: A Public College Case Study
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Regression-Based Recovery Time Predictions in Business Continuity Management: A Public College Case Study
Popis výsledku anglicky
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.
Klasifikace
Druh
C - Kapitola v odborné knize
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
—
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2020
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název knihy nebo sborníku
Handbook of Research on Global Challenges for Improving Public Services and Government Operations
ISBN
978-1-79984-978-0
Počet stran výsledku
29
Strana od-do
380-408
Počet stran knihy
630
Název nakladatele
IGI Global
Místo vydání
Pennsylvania, USA
Kód UT WoS kapitoly
—