Eliciting agents’ behaviour using scenario-based questionnaire in agent-based dairy supply chain simulation
Eliciting agents’ behaviour using scenario-based questionnaire in agent-based dairy supply chain simulation
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.
Agent-based modelling, Data Collection, dairy, decision rule, supply chain
Utomo, Dhanan
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Onggo, Bhakti Stephan
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Eldridge, Stephen
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Daud, Andre
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Tejaningsih, Safitri
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Utomo, Dhanan
5c270eaa-9119-4d1b-82d0-5bcfe7d69151
Onggo, Bhakti Stephan
8e9a2ea5-140a-44c0-9c17-e9cf93662f80
Eldridge, Stephen
830d05e5-c6e2-4cfb-b751-3f9ab7a9d533
Daud, Andre
75fcb8bc-3d90-40a1-ac44-4f9082bdf05a
Tejaningsih, Safitri
5a28358f-f43f-45f5-969c-20e3d0190794
Utomo, Dhanan, Onggo, Bhakti Stephan, Eldridge, Stephen, Daud, Andre and Tejaningsih, Safitri
(2020)
Eliciting agents’ behaviour using scenario-based questionnaire in agent-based dairy supply chain simulation.
Journal of Simulation.
(doi:10.1080/17477778.2020.1753251).
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.
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TJSM_accepted
- Author's Original
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ABS Scenario-based questionnaire JOS preprint
- Accepted Manuscript
More information
Accepted/In Press date: 4 April 2020
e-pub ahead of print date: 26 April 2020
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Publisher Copyright:
© 2020, © Operational Research Society 2020.
Keywords:
Agent-based modelling, Data Collection, dairy, decision rule, supply chain
Identifiers
Local EPrints ID: 439593
URI: http://eprints.soton.ac.uk/id/eprint/439593
ISSN: 1747-7778
PURE UUID: 830473a1-9037-40b7-8356-ed564c924a22
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Date deposited: 27 Apr 2020 16:47
Last modified: 17 Mar 2024 05:29
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Contributors
Author:
Dhanan Utomo
Author:
Stephen Eldridge
Author:
Andre Daud
Author:
Safitri Tejaningsih
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