The most common issues in development of causal-loop diagrams and stock-and-flow diagrams

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F20%3A50018447" target="_blank" >RIV/62690094:18450/20:50018447 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.inderscienceonline.com/doi/abs/10.1504/IJIEI.2020.115722" target="_blank" >https://www.inderscienceonline.com/doi/abs/10.1504/IJIEI.2020.115722</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

The most common issues in development of causal-loop diagrams and stock-and-flow diagrams

Popis výsledku v původním jazyce

System dynamics, and the modelling of system dynamics in particular, represent a current as well as a relevant issue. If this modelling is appropriately managed and correspondingly interpreted, it might be efficiently used in decision making. Nevertheless, it is usually quite hard to identify as well as describe and set all the relationships between and among the system elements suitably. During the modelling process, which starts with problem formulation and system boundary definition and ends with policy and scenario propositions, various mistakes occur. This paper presents the most common mistakes identified by four-group model-based single-blind experiment that modellers make during a specific stage of the overall modelling process: development of both causal-loop diagrams and stock-and-flow diagrams. Identification of these issues contributes to their minimisation or even elimination. Consequently, this improves the efficiency of the systems thinking and decision making performed within complex systems.

Název v anglickém jazyce

The most common issues in development of causal-loop diagrams and stock-and-flow diagrams

Popis výsledku anglicky

System dynamics, and the modelling of system dynamics in particular, represent a current as well as a relevant issue. If this modelling is appropriately managed and correspondingly interpreted, it might be efficiently used in decision making. Nevertheless, it is usually quite hard to identify as well as describe and set all the relationships between and among the system elements suitably. During the modelling process, which starts with problem formulation and system boundary definition and ends with policy and scenario propositions, various mistakes occur. This paper presents the most common mistakes identified by four-group model-based single-blind experiment that modellers make during a specific stage of the overall modelling process: development of both causal-loop diagrams and stock-and-flow diagrams. Identification of these issues contributes to their minimisation or even elimination. Consequently, this improves the efficiency of the systems thinking and decision making performed within complex systems.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

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OECD FORD obor

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

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2020

Kód důvěrnosti údajů

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

Název periodika

INTERNATIONAL JOURNAL OF INTELLIGENT ENGINEERING INFORMATICS

ISSN

1758-8715

e-ISSN

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Svazek periodika

8

Číslo periodika v rámci svazku

5-6

Stát vydavatele periodika

CH - Švýcarská konfederace

Počet stran výsledku

20

Strana od-do

419-438

Kód UT WoS článku

000664663900002

EID výsledku v databázi Scopus

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