The University of Southampton
University of Southampton Institutional Repository

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

Uncovering dynamic complexity in annual reports: a methodological approach using resource mapping
Uncovering dynamic complexity in annual reports: a methodological approach using resource mapping
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.
1099-1727
299-335
Kunc, Martin
0b254052-f9f5-49f9-ac0b-148c257ba412
Barnabè, Federico
8b7ce324-1ab4-4a8e-b37e-9b762948e6f5
Giorgino, Maria Cleofe
4b629ddb-906e-488d-ab05-2c89a4b32e7f
Kunc, Martin
0b254052-f9f5-49f9-ac0b-148c257ba412
Barnabè, Federico
8b7ce324-1ab4-4a8e-b37e-9b762948e6f5
Giorgino, Maria Cleofe
4b629ddb-906e-488d-ab05-2c89a4b32e7f

Kunc, Martin, Barnabè, Federico and Giorgino, Maria Cleofe (2023) Uncovering dynamic complexity in annual reports: a methodological approach using resource mapping. System Dynamics Review, 39 (4), 299-335. (doi:10.1002/sdr.1741).

Record type: Article

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.

Text
System Dynamics Review - 2023 - Kunc - Uncovering dynamic complexity in annual reports a methodological approach using (1) - Version of Record
Available under License Creative Commons Attribution.
Download (813kB)

More information

Accepted/In Press date: 21 July 2023
Published date: 23 August 2023
Additional Information: Funding Information: The paper has benefited from very thoughtful and careful comments from anonymous reviewers and the Associate Editor. We also appreciate the patience and support from the Associate Editor. All errors remain authors' responsibility. Publisher Copyright: © 2023 The Authors. System Dynamics Review published by John Wiley & Sons Ltd on behalf of System Dynamics Society.

Identifiers

Local EPrints ID: 482815
URI: http://eprints.soton.ac.uk/id/eprint/482815
ISSN: 1099-1727
PURE UUID: 2d726d9a-3e21-48f8-a54e-6d13d658ff82
ORCID for Martin Kunc: ORCID iD orcid.org/0000-0002-3411-4052

Catalogue record

Date deposited: 12 Oct 2023 16:49
Last modified: 18 Mar 2024 03:51

Export record

Altmetrics

Contributors

Author: Martin Kunc ORCID iD
Author: Federico Barnabè
Author: Maria Cleofe Giorgino

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×