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Conceptual System Dynamics and Agent-Based Modelling Simulation of Interorganisational Fairness in Food Value Chains: Research Agenda and Case Studies. / McGarraghy, Seán; Olafsdottir, Gudrun; Kazakov, Rossen; Huber, Élise; Loveluck, William; Gudbrandsdottir, Ingunn Y.; Čechura, Lukáš; Esposito, Gianandrea; Samoggia, Antonella; Aubert, Pierre-Marie; Barling, David; Đurić, Ivan; Jaghdani, Tinoush J.; Thakur, Maitri; Saviolidis, Nína M.; Bogason, Sigurdur G.

In: Agriculture, Vol. 12, No. 2, e280, 16.02.2022.

Research output: Contribution to journalArticlepeer-review

Harvard

McGarraghy, S, Olafsdottir, G, Kazakov, R, Huber, É, Loveluck, W, Gudbrandsdottir, IY, Čechura, L, Esposito, G, Samoggia, A, Aubert, P-M, Barling, D, Đurić, I, Jaghdani, TJ, Thakur, M, Saviolidis, NM & Bogason, SG 2022, 'Conceptual System Dynamics and Agent-Based Modelling Simulation of Interorganisational Fairness in Food Value Chains: Research Agenda and Case Studies', Agriculture, vol. 12, no. 2, e280. https://doi.org/10.3390/agriculture12020280

APA

McGarraghy, S., Olafsdottir, G., Kazakov, R., Huber, É., Loveluck, W., Gudbrandsdottir, I. Y., Čechura, L., Esposito, G., Samoggia, A., Aubert, P-M., Barling, D., Đurić, I., Jaghdani, T. J., Thakur, M., Saviolidis, N. M., & Bogason, S. G. (2022). Conceptual System Dynamics and Agent-Based Modelling Simulation of Interorganisational Fairness in Food Value Chains: Research Agenda and Case Studies. Agriculture, 12(2), [e280]. https://doi.org/10.3390/agriculture12020280

Vancouver

Author

McGarraghy, Seán ; Olafsdottir, Gudrun ; Kazakov, Rossen ; Huber, Élise ; Loveluck, William ; Gudbrandsdottir, Ingunn Y. ; Čechura, Lukáš ; Esposito, Gianandrea ; Samoggia, Antonella ; Aubert, Pierre-Marie ; Barling, David ; Đurić, Ivan ; Jaghdani, Tinoush J. ; Thakur, Maitri ; Saviolidis, Nína M. ; Bogason, Sigurdur G. / Conceptual System Dynamics and Agent-Based Modelling Simulation of Interorganisational Fairness in Food Value Chains: Research Agenda and Case Studies. In: Agriculture. 2022 ; Vol. 12, No. 2.

Bibtex

@article{a2aacc4ed2394e98952ddbb325793873,
title = "Conceptual System Dynamics and Agent-Based Modelling Simulation of Interorganisational Fairness in Food Value Chains: Research Agenda and Case Studies",
abstract = "System dynamics and agent-based simulation modelling approaches have a potential as tools to evaluate the impact of policy related decision making in food value chains. The context is that a food value chain involves flows of multiple products, financial flows and decision making among the food value chain players. Each decision may be viewed from the level of independent actors, each with their own motivations and agenda, but responding to externalities and to the behaviours of other actors. The focus is to show how simulation modelling can be applied to problems such as fairness and power asymmetries in European food value chains by evaluating the outcome of interventions in terms of relevant operational indicators of interorganisational fairness (e.g., profit distribution, market power, bargaining power). The main concepts of system dynamics and agent-based modelling are introduced and the applicability of a hybrid of these methods to food value chains is justified. This approach is outlined as a research agenda, and it is demonstrated how cognitive maps can help in the initial conceptual model building when implemented for specific food value chains studied in the EU Horizon 2020 VALUMICS project. The French wheat to bread chain has many characteristics of food value chains in general and is applied as an example to formulate a model that can be extended to capture the functioning of European FVCs. This work is to be further progressed in a subsequent stream of research for the other food value chain case studies with different governance modes and market organisation, in particular, farmed salmon to fillet, dairy cows to milk and raw tomato to processed tomato.",
keywords = "food value chain, system dynamics, agent-based modelling, hybrid method, governance, interorganisational fairness",
author = "Se{\'a}n McGarraghy and Gudrun Olafsdottir and Rossen Kazakov and {\'E}lise Huber and William Loveluck and Gudbrandsdottir, {Ingunn Y.} and Luk{\'a}{\v s} {\v C}echura and Gianandrea Esposito and Antonella Samoggia and Pierre-Marie Aubert and David Barling and Ivan {\D}uri{\'c} and Jaghdani, {Tinoush J.} and Maitri Thakur and Saviolidis, {N{\'i}na M.} and Bogason, {Sigurdur G.}",
note = "{\textcopyright} 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/)",
year = "2022",
month = feb,
day = "16",
doi = "10.3390/agriculture12020280",
language = "English",
volume = "12",
journal = "Agriculture",
issn = "2077-0472",
publisher = "Multidisciplinary Digital Publishing Institute",
number = "2",

}

RIS

TY - JOUR

T1 - Conceptual System Dynamics and Agent-Based Modelling Simulation of Interorganisational Fairness in Food Value Chains: Research Agenda and Case Studies

AU - McGarraghy, Seán

AU - Olafsdottir, Gudrun

AU - Kazakov, Rossen

AU - Huber, Élise

AU - Loveluck, William

AU - Gudbrandsdottir, Ingunn Y.

AU - Čechura, Lukáš

AU - Esposito, Gianandrea

AU - Samoggia, Antonella

AU - Aubert, Pierre-Marie

AU - Barling, David

AU - Đurić, Ivan

AU - Jaghdani, Tinoush J.

AU - Thakur, Maitri

AU - Saviolidis, Nína M.

AU - Bogason, Sigurdur G.

N1 - © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/)

PY - 2022/2/16

Y1 - 2022/2/16

N2 - System dynamics and agent-based simulation modelling approaches have a potential as tools to evaluate the impact of policy related decision making in food value chains. The context is that a food value chain involves flows of multiple products, financial flows and decision making among the food value chain players. Each decision may be viewed from the level of independent actors, each with their own motivations and agenda, but responding to externalities and to the behaviours of other actors. The focus is to show how simulation modelling can be applied to problems such as fairness and power asymmetries in European food value chains by evaluating the outcome of interventions in terms of relevant operational indicators of interorganisational fairness (e.g., profit distribution, market power, bargaining power). The main concepts of system dynamics and agent-based modelling are introduced and the applicability of a hybrid of these methods to food value chains is justified. This approach is outlined as a research agenda, and it is demonstrated how cognitive maps can help in the initial conceptual model building when implemented for specific food value chains studied in the EU Horizon 2020 VALUMICS project. The French wheat to bread chain has many characteristics of food value chains in general and is applied as an example to formulate a model that can be extended to capture the functioning of European FVCs. This work is to be further progressed in a subsequent stream of research for the other food value chain case studies with different governance modes and market organisation, in particular, farmed salmon to fillet, dairy cows to milk and raw tomato to processed tomato.

AB - System dynamics and agent-based simulation modelling approaches have a potential as tools to evaluate the impact of policy related decision making in food value chains. The context is that a food value chain involves flows of multiple products, financial flows and decision making among the food value chain players. Each decision may be viewed from the level of independent actors, each with their own motivations and agenda, but responding to externalities and to the behaviours of other actors. The focus is to show how simulation modelling can be applied to problems such as fairness and power asymmetries in European food value chains by evaluating the outcome of interventions in terms of relevant operational indicators of interorganisational fairness (e.g., profit distribution, market power, bargaining power). The main concepts of system dynamics and agent-based modelling are introduced and the applicability of a hybrid of these methods to food value chains is justified. This approach is outlined as a research agenda, and it is demonstrated how cognitive maps can help in the initial conceptual model building when implemented for specific food value chains studied in the EU Horizon 2020 VALUMICS project. The French wheat to bread chain has many characteristics of food value chains in general and is applied as an example to formulate a model that can be extended to capture the functioning of European FVCs. This work is to be further progressed in a subsequent stream of research for the other food value chain case studies with different governance modes and market organisation, in particular, farmed salmon to fillet, dairy cows to milk and raw tomato to processed tomato.

KW - food value chain

KW - system dynamics

KW - agent-based modelling

KW - hybrid method

KW - governance

KW - interorganisational fairness

U2 - 10.3390/agriculture12020280

DO - 10.3390/agriculture12020280

M3 - Article

VL - 12

JO - Agriculture

JF - Agriculture

SN - 2077-0472

IS - 2

M1 - e280

ER -