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

Utomo, Dhanan and Onggo, Stephan and Eldridge, Stephen and Daud, A.R. and Tejaningsih, S. (2022) Eliciting Agents’ Behaviour using Scenario-Based Questionnaire in Agent-Based Dairy Supply Chain Simulation. Journal of Simulation, 16 (1). pp. 58-72. ISSN 1747-7778

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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.

Item Type:
Journal Article
Journal or Publication Title:
Journal of Simulation
Additional Information:
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
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2600/2611
Subjects:
?? agent-based modelling and simulationdata-collectiondecision rule elicitationsupply chaindairymodelling and simulationsoftware ??
ID Code:
143006
Deposited By:
Deposited On:
06 Apr 2020 15:20
Refereed?:
Yes
Published?:
Published
Last Modified:
09 Mar 2024 00:42