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Agent based modelling as a decision support system for shadow accounting

Chesney, Thomas; Gold, Stefan; Trautrims, Alexander

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Authors

THOMAS CHESNEY THOMAS.CHESNEY@NOTTINGHAM.AC.UK
Professor of Computational Social Science

Stefan Gold



Abstract

We propose the use of agent based modelling to create a shadow account, that is, a secondary account of a business which is used to audit or verify the primary ac¬count. Such a model could be used to test the claims of industries and businesses. For example, the model could determine whether a business is generating enough funds to pay minimum wage. Parameters in the model can be set by observation or a range of values can be tested to determine points at which enough revenue could be generated. We illustrate the potential of agent based modelling as a tool for shadow accounting with a case study of a car wash business.

Citation

Chesney, T., Gold, S., & Trautrims, A. (2017). Agent based modelling as a decision support system for shadow accounting. Decision Support Systems, 95, https://doi.org/10.1016/j.dss.2017.01.004

Journal Article Type Article
Acceptance Date Jan 17, 2017
Online Publication Date Jan 21, 2017
Publication Date Mar 31, 2017
Deposit Date Feb 8, 2017
Publicly Available Date Feb 8, 2017
Journal Decision Support Systems
Print ISSN 0167-9236
Electronic ISSN 1873-5797
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 95
DOI https://doi.org/10.1016/j.dss.2017.01.004
Keywords Minimum wage, Social compliance, Auditing, accountability
Public URL https://nottingham-repository.worktribe.com/output/852968
Publisher URL http://www.sciencedirect.com/science/article/pii/S0167923617300118
Contract Date Feb 8, 2017

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