Use of measurement theory for operationalization and quantification of psychological constructs in systems dynamics modelling

Fitkov-Norris, Elena; Yeghiazarian, Ara

doi:10.1088/1742-6596/772/1/012023

Cited by 2 publications

(2 citation statements)

References 13 publications

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“…Approaches like qualitative modelling allow scientists to create dynamic models able to cope with uncertainty and incomplete information through the use of latent constructs as the main unit of analysis. Not only does this allow for a flexible and relatively easy structuring of the modelled event, but the approach enables direct and intuitive interpretation of the results [25]. Qualitative modelling helps to construct a quantitative model, which consists of stocks, flows and diagrams.…”

Section: System Dynamicsmentioning

confidence: 99%

Identification of Sustainability Key Factors Based on Capturing Dominant Feedbacks of Behavioural Stereotypes in Socio-Economic Systems

Bureš

Racz²

2017

Systems

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Sustainability represents a system attribute that is widely investigated in many disciplines. System dynamics is mostly used for modelling specific issues. Not only can this methodology be used for this purpose, it can also be applied for the identification of behavioural stereotypes and consequent designation of variables that shape sustainability of the system. Based on the set of interviews with a sample of socio-economic system representatives, stereotypes are captured and modelled with the help of causal loop diagrams. After several modelling iterations that synchronised the acquired models with the obtained responses, four main key stereotypes were identified-quality, ego, competence, and motivation. Both dominant feedback loops and important multi-input and multi-output variables are used for their description. Thus, the models provide an endogenous explanation of their importance for sustainability and help to identify its key factors.

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Section: System Dynamicsmentioning

confidence: 99%

Identification of Sustainability Key Factors Based on Capturing Dominant Feedbacks of Behavioural Stereotypes in Socio-Economic Systems

Bureš

Racz²

2017

Systems

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“…In order to study fairness in food systems using a simulation model and test policies that can potentially affect the level of fairness, the model must be equipped to measure fairness as a model output. Unfortunately, the simulation modelling literature offers limited guidance on how to operationalize and quantify social concepts [10,11]. Whereas, making assumptions and simplifications is an integral part of the process of abstracting a simulation model from the real world, it seems worthwhile to carefully and deliberately operationalize the concepts that are fundamental to the modelling work.…”

Section: Introductionmentioning

confidence: 99%

Operationalization of Interorganizational Fairness in Food Systems: From a Social Construct to Quantitative Indicators

et al. 2021

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Fairness issues within food systems are of increasing concern for policy makers and other stakeholders. Given the topicality and policy relevance of fairness within food systems, there is value in exploring the subject further. Simulation modelling has been successfully used to develop and test policy interventions. However, the subjectivity and intangibleness of fairness perceptions make them difficult to operationalize in a quantitative model. The objective of this study is to facilitate research on fairness in food systems using simulation modelling by defining the social construct of fairness in model operational terms. The operationalization is conducted in two steps. First, the construct of fairness is conceptually defined in terms of its dimensions, antecedents, and consequences using the literature on interorganizational fairness. Then, by focusing specifically on fairness issues within food systems, the conceptual definition is used as a basis for the identification of proxy indicators of fairness. Seven groups of factors related to fairness perceptions were identified during the conceptualization phase: financial outcomes, operational outcomes, power, environmental stability, information sharing, relationship quality, and controls. From these factor groups, five indicators of fairness that are operational in a quantitative model were identified: profit margin as an indicator of distributive fairness and four indicators of procedural fairness related to market power and bargaining power.

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Use of measurement theory for operationalization and quantification of psychological constructs in systems dynamics modelling

Cited by 2 publications

References 13 publications

Identification of Sustainability Key Factors Based on Capturing Dominant Feedbacks of Behavioural Stereotypes in Socio-Economic Systems

Identification of Sustainability Key Factors Based on Capturing Dominant Feedbacks of Behavioural Stereotypes in Socio-Economic Systems

Operationalization of Interorganizational Fairness in Food Systems: From a Social Construct to Quantitative Indicators

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