Business Process Risk Modelling in Theory and Practice
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F25720384%3A_____%2F21%3AN0000001" target="_blank" >RIV/25720384:_____/21:N0000001 - isvavai.cz</a>
Výsledek na webu
<a href="https://qip-journal.eu/index.php/QIP/issue/view/75" target="_blank" >https://qip-journal.eu/index.php/QIP/issue/view/75</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.12776/QIP.V25I1.1551" target="_blank" >10.12776/QIP.V25I1.1551</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Business Process Risk Modelling in Theory and Practice
Popis výsledku v původním jazyce
Purpose: The purpose of the paper is to introduce SW based decision-making tool that helps managers cope with risks and uncertainties of selected industrial processes. The solution is substantiated by the theoretical background. Methodology/Approach: The research is based on combination of contextual interviews with process management experts and Business Process Modelling Notion (BPMN). The former is aimed at the identification of industrial processes with highest risk exposure the latter is conducive to the design of processes to be subjected to stochastic simulation. Findings: The findings show that the risks and uncertainties in the management of industrial processes can be kept under control when using advanced tools of risk analysis as simulation approaches. The solution proposed comes in handy to risk analysts or process managers. Research Limitation/Implication: The library of process models which were included into stochastic simulation includes selected processes as investments, service providing or economic value-added engineering. Additional processes are being included on ongoing basis. Originality/Value of paper: The paper offers the solution to industrial process risk management which goes far beyond academic sphere and provides industrial practitioners SW tool that facilitates process risk management.
Název v anglickém jazyce
Business Process Risk Modelling in Theory and Practice
Popis výsledku anglicky
Purpose: The purpose of the paper is to introduce SW based decision-making tool that helps managers cope with risks and uncertainties of selected industrial processes. The solution is substantiated by the theoretical background. Methodology/Approach: The research is based on combination of contextual interviews with process management experts and Business Process Modelling Notion (BPMN). The former is aimed at the identification of industrial processes with highest risk exposure the latter is conducive to the design of processes to be subjected to stochastic simulation. Findings: The findings show that the risks and uncertainties in the management of industrial processes can be kept under control when using advanced tools of risk analysis as simulation approaches. The solution proposed comes in handy to risk analysts or process managers. Research Limitation/Implication: The library of process models which were included into stochastic simulation includes selected processes as investments, service providing or economic value-added engineering. Additional processes are being included on ongoing basis. Originality/Value of paper: The paper offers the solution to industrial process risk management which goes far beyond academic sphere and provides industrial practitioners SW tool that facilitates process risk management.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
50204 - Business and management
Návaznosti výsledku
Projekt
<a href="/cs/project/FV30110" target="_blank" >FV30110: Nástroje pro inovaci a optimalizaci výkonnosti firemních procesů v rámci Průmyslu 4.0</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2021
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
QUALITY INNOVATION PROSPERITY
ISSN
1335-1745
e-ISSN
1338-984X
Svazek periodika
Volume 25
Číslo periodika v rámci svazku
1
Stát vydavatele periodika
SK - Slovenská republika
Počet stran výsledku
18
Strana od-do
55-72
Kód UT WoS článku
000636478800005
EID výsledku v databázi Scopus
2-s2.0-85104534329