Transforming an agricultural trade organization: a system‐dynamics‐based intervention

Weber, Michael; Schwaninger, Markus

doi:10.1002/sdr.254

Cited by 16 publications

(7 citation statements)

References 8 publications

(4 reference statements)

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“…Since the aim is the understanding of dynamic complex systems, the results of system dynamics models primarily stress the accuracy of behaviour before the numerical precision (Forrester 1987a;Sterman 2000). Weber and Schwaninger (2002) apply system dynamics to analyse the organisation and distribution system of cooperatives in the Swiss agribusiness (mainly SMEs), which triggered the reorganisation project and significantly changed the participants' mental models. Shi and Gill (2005) searched for the policies of sustainable ecological agriculture in the county in China using the system dynamics model.…”

Section: System Dynamicsmentioning

confidence: 99%

Dynamics of the small farmers' behaviour - scenario simulations

Koláčková¹,

Krejčí²,

Tichá³

2017

AGR ECON-CZECH

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Th e paper deals with the dynamic simulation of the possible development scenarios of small farmers. Th e model is based on the offi cial data sources but also on the qualitative research of small farmers. Th e modelling structure refl ects the specifi cs of the examined fi eld and personal and social specifi cs of small farmers. For the purposes of the analysis, the business model describes the value creation in the small and individual farms, thereafter the model is extended into the dynamic simulation model and the selected scenarios of development are simulated. Th e analysis shows the impact of the current setup in the fi eld. Despite the fact that the paper contains the optimistic scenarios, a simple change of parameters leads to an unsustainable situation. Th e pessimistic scenarios grow from the realistic conditions when the parameters refl ect the recent period settings. Th is clearly depicts the infl uence of the weak market position of the farmers and advocates the diversifi cation tendencies.

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Section: System Dynamicsmentioning

confidence: 99%

Dynamics of the small farmers' behaviour - scenario simulations

Koláčková¹,

Krejčí²,

Tichá³

2017

AGR ECON-CZECH

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“…The attribute "systemic" is used in this context to denote that the framework is grounded in systems theory and cybernetics, the science dedicated to holistic or integrative management in the face of organizational complexity. This framework has been tested in multiple settings, some of which are documented in published case studies (e.g., Weber and Schwaninger 2002;Schwaninger 2004Schwaninger , 2013.…”

Section: Alternative Frameworkmentioning

confidence: 99%

Systemic Development of Health Organizations: An Integrative Systems Methodology

Schwaninger

Klocker²

2017

Understanding Complex Systems

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This werk is subject to cnpydght. All Hghts arc resencd hy Lhe Puhlisher, whether the whole er part of the material is cnncemed. specifieally therighLs of tmnslation, reprinting. reuseof illustraLions, recitatitin, hroadcasüng, reproduction on microfulms er in any uther physical way. und transmission er information stonge und rettieval, elcctmnic adaptation, Computer software, er hy similar or dissimilar methodnlngy nnw known er hereafter dcveloped. Tlie uni of general descripLi ve names, registered names, trademarks, Service marks, etc, in this puhlication does not imply, even in the absence ofa speeilic statement, maL such names arc excmpt (rom the relevant protective laws und regulations und therefore free for general use. The publisher, the authors und the editors arc safe to assume Lhat the advice und information in Ihis hook arc believed tobe Urne und accurate ulme date of publication. Neither the puhlisher nor Lhe authors or mc editors give a wan-anty, express er implied, with respect to the material conlained herein or for any ernrs oromissions thatmay have heen made. The puhlisherremains neutral withregard tnjurisdicüonal claims in published maps und institutional affiliations.

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“…In addition, he accounted for the change in time indications, the lengths of the causal paths, and the density of the mental model. Until 2009, most of the intervention studies did not attempt to measure the effects of interventions on participants' MMDS (e.g., Bosch et al, 2003;Snabe and Grössler, 2006;Weber and Schwaninger, 2002;Woog et al, 2006). Often these studies argue only qualitatively for the benefits of interventions and the effects on the participants' MMDS.…”

Section: Literature Reviewmentioning

confidence: 99%

A comprehensive method for comparing mental models of dynamic systems

Schaffernicht

Groesser

2011

European Journal of Operational Research

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Schaffernicht, M (Schaffernicht, Martin). Univ Talca, Fac Ciencias Empresariales, Talca 3460000, ChileMental models are the basis on which managers make decisions even though external decision support systems may provide help. Research has demonstrated that more comprehensive and dynamic mental models seem to be at the foundation for improved policies and decisions. Eliciting and comparing such models can systematically explicate key variables and their main underlying structures. In addition, superior dynamic mental models can be identified. This paper reviews existing studies which measure and compare mental models. It shows that the methods used to compare such models lack to account for relevant aspects of dynamic systems, such as, time delays in causal links, feedback structures, and the polarities of feedback loops. Mental models without those properties are mostly static models. To overcome these limitations of the methods to compare mental models, we enhance the widely used distance ratio approach (Markoczy and Goldberg, 1995) so as to comprehend these dynamic characteristics and detect differences among mental models at three levels: the level of elements, the level of individual feedback loops, and the level of the complete model. Our contribution lies in a new method to compare explicated mental models, not to elicit such models. An application of the method shows that this previously non-existent information is essential for understanding differences between managers' mental models of dynamic systems. Thereby, a further path is created to critically analyze and elaborate the models managers use in real world decision making. We discuss the benefits and limitations of our approach for research about mental models and decision making and conclude by identifying directions for further research for operational researchers. (C) 2010 Elsevier B.V. All rights reserved

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Transforming an agricultural trade organization: a system‐dynamics‐based intervention

Cited by 16 publications

References 8 publications

Dynamics of the small farmers' behaviour - scenario simulations

Dynamics of the small farmers' behaviour - scenario simulations

Systemic Development of Health Organizations: An Integrative Systems Methodology

A comprehensive method for comparing mental models of dynamic systems

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