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Can we learn from simplified simulation models? An experimental study on user learning

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journal contribution
posted on 13.01.2020, 14:06 authored by Antuela TakoAntuela Tako, Naoum Tsioptsias, Stewart Robinson
Simple models are considered useful for decision making, especially when decisions are made by a group of stakeholders. This paper describes an experimental study that investigates whether the level of model detail affects users’ learning. Our subjects, undergraduate students, were asked to solve a resource utilisation task for an ambulance service problem. They worked in groups under three different conditions, based on the type of simulation model used (specifically a simple, adequate or no model at all), to analyse the problem and reach conclusions. A before and after questionnaire and a group presentation capture the participants’ individual and group attitudes towards the solution. Our results suggest that differences in learning from using the two different models were not significant, while simple model users demonstrated a better understanding of the problem. The outcomes and implications of our findings are discussed, alongside the limitations and future work.

History

School

  • Business and Economics

Department

  • Business

Published in

Journal of Simulation

Volume

14

Issue

2

Pages

130 - 144

Publisher

Informa UK Limited, trading as Taylor & Francis Group

Version

AM (Accepted Manuscript)

Rights holder

© Operational Research Society

Publisher statement

This is an Accepted Manuscript of an article published by Taylor & Francis in Journal of Simulation on 9 January 2020, available online: http://www.tandfonline.com/10.1080/17477778.2019.1704636.

Acceptance date

22/10/2019

Publication date

2020-01-09

Copyright date

2020

ISSN

1747-7778

eISSN

1747-7786

Language

en

Depositor

Dr Antuela Anthi Tako. Deposit date: 13 January 2020