Stealing from the boss: who is looking?
Abstract
Purpose
The purpose of this paper is to discover organisational governance lessons that emerge from the unique facts and characteristics of one significant corporate fraud in Australia.
Design/methodology/approach
Data were triangulated between a primary loss adjustment file with multiple commercial and legal secondary sources. The data were analysed and conclusions were inductively drawn as part of a master’s degree research project.
Findings
White-collar crime takes many forms but it is rare for a medium-sized ASX listed company to be defrauded of Aus$22 m without anybody noticing. Narrative findings reveal the dynamics of the fraud and the weaknesses in corporate governance. This paper outlines the processes of detection and control. It provides several lessons for organisational governance that could prevent similar occupational frauds in the future.
Research limitation/implications
This unique fraud case has facts which are not necessarily typical of fraud in general. Anonymity in the case seeks to preserve the identities of the parties, but may in fact limit the potential for transparent discussion.
Social implications
While detecting and investigating occupational fraud has benefits for practitioners and commentators, there are extensive direct and indirect social costs associated with this case.
Originality/value
The value of this case lies in revealing details of how a significant fraud was perpetrated so that fraud investigators, accountancy professionals, academics and students can benefit from lessons learned.
Keywords
Acknowledgements
Peter Lenz wishes to acknowledge the insight and assistance generously given by Professor Graycar in the preparation and writing of this paper. Any errors may be attributed solely to Peter Lenz.
Citation
Lenz, P.J. and Graycar, A. (2016), "Stealing from the boss: who is looking?", Journal of Financial Crime, Vol. 23 No. 3, pp. 613-623. https://doi.org/10.1108/JFC-09-2015-0053
Publisher
:Emerald Group Publishing Limited
Copyright © 2016, Emerald Group Publishing Limited