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Lookup NU author(s): Professor Stewart RobinsonORCiD
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
© 2015 The Authors. Published by Elsevier B.V. It is often stated that involving the client in operational research studies increases conceptual learning about a system which can then be applied repeatedly to other, similar, systems. Our study provides a novel measurement approach for behavioural OR studies that aim to analyse the impact of modelling in long term problem solving and decision making. In particular, our approach is the first to operationalise the measurement of transfer of learning from modelling using the concepts of close and far transfer, and overconfidence. We investigate learning in discrete-event simulation (DES) projects through an experimental study. Participants were trained to manage queuing problems by varying the degree to which they were involved in building and using a DES model of a hospital emergency department. They were then asked to transfer learning to a set of analogous problems. Findings demonstrate that transfer of learning from a simulation study is difficult, but possible. However, this learning is only accessible when sufficient time is provided for clients to process the structural behaviour of the model. Overconfidence is also an issue when the clients who were involved in model building attempt to transfer their learning without the aid of a new model. Behavioural OR studies that aim to understand learning from modelling can ultimately improve our modelling interactions with clients; helping to ensure the benefits for a longer term; and enabling modelling efforts to become more sustainable.
Author(s): Monks T, Robinson S, Kotiadis K
Publication type: Article
Publication status: Published
Journal: European Journal of Operational Research
Year: 2016
Volume: 249
Issue: 3
Pages: 919-930
Print publication date: 16/03/2016
Online publication date: 29/08/2015
Acceptance date: 24/08/2015
Date deposited: 29/07/2022
ISSN (print): 0377-2217
ISSN (electronic): 1872-6860
Publisher: Elsevier BV
URL: https://doi.org/10.1016/j.ejor.2015.08.037
DOI: 10.1016/j.ejor.2015.08.037
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