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  • 200127_ABS_Scenario_based_questionnaire_JOS_R1_SE_SO_DSU

    Rights statement: This is an Accepted Manuscript of an article published by Taylor & Francis in Journal of Simulation on 26/04/2020 available online: https://www.tandfonline.com/doi/full/10.1080/17477778.2020.1753251

    Accepted author manuscript, 1.3 MB, PDF document

    Embargo ends: 26/04/21

    Available under license: CC BY-NC: Creative Commons Attribution-NonCommercial 4.0 International License

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Eliciting Agents’ Behaviour using Scenario-Based Questionnaire in Agent-Based Dairy Supply Chain Simulation

Research output: Contribution to journalJournal article

E-pub ahead of print
<mark>Journal publication date</mark>26/04/2020
<mark>Journal</mark>Journal of Simulation
Publication statusE-pub ahead of print
Early online date26/04/20
Original languageEnglish

Abstract

A scenario-based questionnaire is a survey method that aims to identify the respondents’ decision rules using their responses to a series of scenarios. It is rarely used in agent-based modelling and simulation (ABMS) with most researchers preferring a survey with closed questions as the data collection method. This is particularly true for ABMS studies in agri-food supply chains. In our paper, we design a scenario-based questionnaire to elicit the behaviour of agents in ABMS and apply it in a dairy supply chain case. Our findings suggest that respondents respond well to a scenario-based questionnaire as it relates more closely to their actual decision-making process. Furthermore, our experiment shows that the decision rules extracted using a scenario-based questionnaire improve ABMS validity.

Bibliographic note

This is an Accepted Manuscript of an article published by Taylor & Francis in Journal of Simulation on 26/04/2020 available online: https://www.tandfonline.com/doi/full/10.1080/17477778.2020.1753251