J. Aboah , M.M.J. Wilson , K. Bicknell , E.D. Setsoafia
{"title":"A meta-network analysis of methodological specifications for system dynamics modelling application in agricultural food systems","authors":"J. Aboah , M.M.J. Wilson , K. Bicknell , E.D. Setsoafia","doi":"10.1016/j.futures.2024.103484","DOIUrl":null,"url":null,"abstract":"<div><div>This paper aims to review existing applications of system dynamics modelling in agricultural food systems and draw insights from the various modelling procedures in order to highlight best-practice guidelines on methodological specifications for SD modelling. A meta-network analysis was used to identify existing studies that have applied SD modelling in agriculture. Using an algorithm that automatically clusters closely connected research articles based on Boolean search strings that look at the title, keywords, abstract, and digital object identifier (DOI) of the journal articles, 354 journal articles were selected for in-depth content analysis.</div><div>Based on the synthesised trends, two criteria for determining the type of modelling process and model type to apply for the model conceptualisation step are: (<em>i</em>) the immediate end goal of the modelling process, and (<em>ii</em>) data availability. Participatory modelling is appropriate when there is limited data and model outputs will inform the implementation of interventions by stakeholders. For action research focusing on well-researched food systems with substantial data available, the semi-participatory modelling process can be adopted, and quantitative SD models can be solitarily used. A key contribution of this paper is the proposed procedure for emergent participatory scenario development within the system dynamics modelling process.</div></div>","PeriodicalId":48239,"journal":{"name":"Futures","volume":"164 ","pages":"Article 103484"},"PeriodicalIF":3.0000,"publicationDate":"2024-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Futures","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0016328724001678","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
Abstract
This paper aims to review existing applications of system dynamics modelling in agricultural food systems and draw insights from the various modelling procedures in order to highlight best-practice guidelines on methodological specifications for SD modelling. A meta-network analysis was used to identify existing studies that have applied SD modelling in agriculture. Using an algorithm that automatically clusters closely connected research articles based on Boolean search strings that look at the title, keywords, abstract, and digital object identifier (DOI) of the journal articles, 354 journal articles were selected for in-depth content analysis.
Based on the synthesised trends, two criteria for determining the type of modelling process and model type to apply for the model conceptualisation step are: (i) the immediate end goal of the modelling process, and (ii) data availability. Participatory modelling is appropriate when there is limited data and model outputs will inform the implementation of interventions by stakeholders. For action research focusing on well-researched food systems with substantial data available, the semi-participatory modelling process can be adopted, and quantitative SD models can be solitarily used. A key contribution of this paper is the proposed procedure for emergent participatory scenario development within the system dynamics modelling process.
期刊介绍:
Futures is an international, refereed, multidisciplinary journal concerned with medium and long-term futures of cultures and societies, science and technology, economics and politics, environment and the planet and individuals and humanity. Covering methods and practices of futures studies, the journal seeks to examine possible and alternative futures of all human endeavours. Futures seeks to promote divergent and pluralistic visions, ideas and opinions about the future. The editors do not necessarily agree with the views expressed in the pages of Futures