IDEAS home Printed from https://ideas.repec.org/a/bla/sysdyn/v39y2023i4p299-335.html
   My bibliography  Save this article

Uncovering dynamic complexity in annual reports: a methodological approach using resource mapping

Author

Listed:
  • Martin Kunc
  • Federico Barnabè
  • Maria Cleofe Giorgino

Abstract

This study explores the role of qualitative system dynamics (SD) models in representing and analyzing the information of corporate annual reports by uncovering their hidden “dynamic complexity.” The study employs a specific qualitative SD technique, resource mapping, and outlines a methodology to apply it in practice. This study has several contributions. First, it provides methodological guidelines and practical insights on how to apply qualitative SD, using stock‐and‐flow diagrams, in the field of corporate reporting to represent visually and analyze the dynamic complexity implicit in businesses. Second, it underlines the performative role of accounting together with qualitative SD. Specifically, it provides useful insights into how to use qualitative SD in the accounting field to enhance both internal analysis and external communication, thereby supporting decision‐making processes. Third, it shows how to integrate different discipline‐related technical languages, thereby bridging differences in backgrounds, skills, and expertise that might characterize intended readers and users. © 2023 The Authors. System Dynamics Review published by John Wiley & Sons Ltd on behalf of System Dynamics Society.

Suggested Citation

  • Martin Kunc & Federico Barnabè & Maria Cleofe Giorgino, 2023. "Uncovering dynamic complexity in annual reports: a methodological approach using resource mapping," System Dynamics Review, System Dynamics Society, vol. 39(4), pages 299-335, October.
  • Handle: RePEc:bla:sysdyn:v:39:y:2023:i:4:p:299-335
    DOI: 10.1002/sdr.1741
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/sdr.1741
    Download Restriction: no

    File URL: https://libkey.io/10.1002/sdr.1741?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
    ---><---

    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:bla:sysdyn:v:39:y:2023:i:4:p:299-335. 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: Wiley Content Delivery (email available below). General contact details of provider: http://onlinelibrary.wiley.com/journal/10.1111/0883-7066 .

    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.