Risk Based Control of the Negative Effect of Discontinued Automated Processes – A Case from the Agricultural Domain

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24310%2F17%3A00004242" target="_blank" >RIV/46747885:24310/17:00004242 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.ekonomie-management.cz/archiv/vyhledavani/detail/1607-risk-based-control-of-the-negative-effect-of-discontinued-automated-processes-a-case-from-the-agricultural-domain/" target="_blank" >http://www.ekonomie-management.cz/archiv/vyhledavani/detail/1607-risk-based-control-of-the-negative-effect-of-discontinued-automated-processes-a-case-from-the-agricultural-domain/</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.15240/tul/001/2017-4-017" target="_blank" >10.15240/tul/001/2017-4-017</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Risk Based Control of the Negative Effect of Discontinued Automated Processes – A Case from the Agricultural Domain

Popis výsledku v původním jazyce

The current paper delineates a modern algorithmic procedure for estimating the risk and calculating a realistic duration of interrupted critical computerized business activities, in order to mitigate or prevent their corresponding negative consequences. The contribution is formulated via merging risk management and business continuity concepts. The formulation of an integrated business continuity management policy includes the proactive determination of approximate recovery timeframes for critical business functions. Practically, this estimation is based on recovery tests which are executed under ideal conditions, and unexpected factors which may emerge during a real process interruption and significantly delay its recovery are ignored. Agriculture is a domain where the incorporation of an integrated business continuity management system is a crucial issue. The interruption of agricultural computerized activities can be triggered by and can result to various undesirable environmental phenomena. Thus, especially for agriculture, the consideration of unexpected factors when executing recovery tests is highly demanded. The currently presented algorithm accepts as initial input the estimated recovery time which is based on recovery exercises executed under ideal conditions. Then, a precise number of potential unpredictable hazards (factors) are taken into consideration and the risk magnitude of each threat is semi-quantitatively estimated. The total risk magnitude is utilized to estimate the time deviation from the initially defined recovery time. After the risk analysis process is terminated, a new recovery timeframe is proposed. The time deviation from the initially defined recovery time is calculated in its absolute value. The algorithm is finally validated by applying the calculated extended timeframe to the system availability formula which measures the achieved system availability levels for any information system. The validation of the approach is demonstrated via a practical case study from the agricultural domain, namely the greenhouse irrigation scheduling system interruption scenario.

Název v anglickém jazyce

Risk Based Control of the Negative Effect of Discontinued Automated Processes – A Case from the Agricultural Domain

Popis výsledku anglicky

The current paper delineates a modern algorithmic procedure for estimating the risk and calculating a realistic duration of interrupted critical computerized business activities, in order to mitigate or prevent their corresponding negative consequences. The contribution is formulated via merging risk management and business continuity concepts. The formulation of an integrated business continuity management policy includes the proactive determination of approximate recovery timeframes for critical business functions. Practically, this estimation is based on recovery tests which are executed under ideal conditions, and unexpected factors which may emerge during a real process interruption and significantly delay its recovery are ignored. Agriculture is a domain where the incorporation of an integrated business continuity management system is a crucial issue. The interruption of agricultural computerized activities can be triggered by and can result to various undesirable environmental phenomena. Thus, especially for agriculture, the consideration of unexpected factors when executing recovery tests is highly demanded. The currently presented algorithm accepts as initial input the estimated recovery time which is based on recovery exercises executed under ideal conditions. Then, a precise number of potential unpredictable hazards (factors) are taken into consideration and the risk magnitude of each threat is semi-quantitatively estimated. The total risk magnitude is utilized to estimate the time deviation from the initially defined recovery time. After the risk analysis process is terminated, a new recovery timeframe is proposed. The time deviation from the initially defined recovery time is calculated in its absolute value. The algorithm is finally validated by applying the calculated extended timeframe to the system availability formula which measures the achieved system availability levels for any information system. The validation of the approach is demonstrated via a practical case study from the agricultural domain, namely the greenhouse irrigation scheduling system interruption scenario.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

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

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název periodika

E M Ekonomie a Management

ISSN

1212-3609

e-ISSN

—

Svazek periodika

20

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

11

Strana od-do

251-261

Kód UT WoS článku

000419822200017

EID výsledku v databázi Scopus

2-s2.0-85040227273