IDEAS home Printed from https://ideas.repec.org/a/taf/thssxx/v10y2021i3p198-211.html
   My bibliography  Save this article

An analytical framework for group simulation model building

Author

Listed:
  • Timothy Bolt
  • Steffen Bayer
  • Maria Kapsali
  • Sally Brailsford

Abstract

This paper presents a framework for understanding and improving the process of simulation model building involving a group of domain experts, classifying the different roles the model may play at various stages of its development. The framework consists of four different “object roles”, defined along two dimensions: a functional dimension (boundary object vs. representational object) and a knowledge dimension (epistemic object vs. technical object). A model can take different roles during the development process, e.g. for facilitating communication, for gaining insight into the real-world system, or for experimentation and policy evaluation. The use of the framework is illustrated by two case studies in healthcare. Its relevance and applicability are examined through a survey on model use. The survey was conducted among a group of modelling consultants with experience of using both discrete-event simulation and system dynamics within the NHS, and indicated the potential usefulness of the framework.

Suggested Citation

  • Timothy Bolt & Steffen Bayer & Maria Kapsali & Sally Brailsford, 2021. "An analytical framework for group simulation model building," Health Systems, Taylor & Francis Journals, vol. 10(3), pages 198-211, July.
    • Handle: RePEc:taf:thssxx:v:10:y:2021:i:3:p:198-211
    DOI: 10.1080/20476965.2020.1740613
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/20476965.2020.1740613
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/20476965.2020.1740613?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:thssxx:v:10:y:2021:i:3:p:198-211. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/thss .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.