Causal loop diagrams between structure and behaviour: A critical analysis of the relationship between polarity, behaviour and events

Schaffernicht, Martín

doi:10.1002/sres.1018

Cited by 79 publications

(47 citation statements)

References 22 publications

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“…Another attribute of the CLD is the polarity, which explains the nature of the relationship among those variables (Schaffernicht, 2010). It can move in the same or opposite direction; a positive sign shows a causal link which goes in the same direction, and a negative sign (-) to show a causal link in opposite directions.…”

Section: Resultsmentioning

confidence: 99%

Modeling How the Leader Power Affecting Performances of the Smallholder Beef Farming

2018

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This study aimed to explore how the leader power is affecting the performance of beef farmer group. The research was undertaken in two farmers group in Kabupaten Banjarnegara, Central Java Province involving 35 farmers and two beef traders. Systems thinking the approach was chosen about its capability to capture the complexity of the beef farming systems. A combination of semi-structured interviews, in-depth interviews, and workshop have been conducted to finalize this study. The discussion were focused on three aspects; (1) daily activities; (2) resources used and affected by those activities; and (3) pressures that are directly affected the resources and activities. The result was presented in a Causal Loop Diagram (CLD) which generated using Vensim® software. The CLD showed that leader power affects the group performance in two reinforcing loops. Firstly, leader power positively linked to the decision for allocating profit to group reinvestment. Secondly, for allocating proportion for breeding. Farmer's actual income become the leverage of the power dimension. Income will enforce the power thus makes the loop virtuous, whereas a loss will reduce power and makes the power loop vicious.

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Section: Resultsmentioning

confidence: 99%

Modeling How the Leader Power Affecting Performances of the Smallholder Beef Farming

2018

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“…A folyamatban használt ábratípust, a komplex oksá-gi diagramot (causal loop diagram; CLD; Haraldsson, 2000;Schaffernicht, 2010) a rendszerdinamika megkö-zelítésén belül fejlesztették ki, hogy komplex rendszerek belső dinamikáját viszonylag egyszerű módon le tudják képezni. A rendszerdinamikai szemléletmódot ebben a tanulmányban nem tárgyaljuk részletesen, mivel más tanulmányok már hosszabban kifejtették (Morecroft, 2010;Richardson, 2011;Pataki et al, 2013).…”

Section: A Részvételi Rendszermodellezés Bemutatásaunclassified

Rendszerek és kapcsolatok – A részvételi rendszermodellezés módszerének bemutatása a felsőoktatásról készített oksági diagramok példáján

Király¹

2017

Veztud

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“…Each arrow is assigned a polarity, either positive (+) or negative (-) to indicate how the 207 cause (at the arrow's tail) changes when the effect (at the arrow's point) changes (Schaffernicht, 2010;208 Vennix, 1996). Feedback loops occur when the effect of a change propagates around the variables in a system (through 225 cause and effect chains) and respond ("feed back") to the original change (Meadows, 2008).…”

Section: Causal Loop Diagrams 205mentioning

confidence: 99%

Group Model-Building to identify potential sources of environmental impacts outside the scope of LCA studies

Laurenti

Lazarevic

Poulikidou

et al. 2014

Journal of Cleaner Production

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PostprintThis is the accepted version of a paper published in Journal of Cleaner Production. This paper has been peer-reviewed but does not include the final publisher proof-corrections or journal pagination. Citation for the original published paper (version of record):Laurenti, R., Lazarevic, D., Poulikidou, S., Montrucchio, V., Bistagnino, L. et al. (2014) Group Model-Building to identify potential sources of environmental impacts outside the scope of LCA studies. Author's Post-print. Please cite as: Laurenti, R., Lazarevic, D., Poulikidou, S., Montrucchio, V., Bistagnino, L., & Frostell, B. (2014). Group Model-Building to identify potential sources of environmental impacts outside the scope of LCA studies. Journal of Cleaner Production, 72, 96-109. doi:10.1016Production, 72, 96-109. doi:10. /j.jclepro.2014 technique to make explicit, variables which may not be typically considered in LCA studies, but may have 6 significant influence upon environmental impacts of a product or service through cause-effect links and 7 feedback loops. Household washing machine and conventional passenger vehicle are chosen as cases of 8 product system to illustrate the utility of the GMB method and CLD technique. A literature review on 9 Journal of Cleaner ProductionLCAs concerning the two product systems is performed to investigate what are the commonly used 10 functional unit, life cycle stages and system boundaries. The LCA studies contained variables mainly 11 pertaining to physical structure, whilst GMBs identified cause-effect relations and feedback loops 12 between variables pertaining to physical and behavioural structure. It is necessary to move beyond slogans 13 about interconnectedness, need for multidisciplinary research, etc. Consequently, specific methodologies 14 that consider a more comprehensive/diverse set of parameters must be explored by the LCA community. 15 GMB and CLD can serve as a basis for (i) delimitating appropriated system boundaries for LCA and (ii) 16 identifying variables/areas to be included in sensitivity and scenario analysis. Sensitivity and scenario 17 analysis examine the influence that those variables/areas have on the environmental impacts of the 18 product and describe both different contexts and profiles of users. GMB and CLD have the potential to 19 bridge the divide between quantitative and qualitative variables, for more robust understanding of the 20 causes and mechanisms of environmental impacts and improving conclusions and recommendations in 21 LCA. 22

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Causal loop diagrams between structure and behaviour: A critical analysis of the relationship between polarity, behaviour and events

Cited by 79 publications

References 22 publications

Modeling How the Leader Power Affecting Performances of the Smallholder Beef Farming

Modeling How the Leader Power Affecting Performances of the Smallholder Beef Farming

Rendszerek és kapcsolatok – A részvételi rendszermodellezés módszerének bemutatása a felsőoktatásról készített oksági diagramok példáján

Group Model-Building to identify potential sources of environmental impacts outside the scope of LCA studies

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