Fraud is a global issue overwhelming all aspects of human economic and business activities as it poses potential threat of financial losses. Many detection and prevention mechanisms, such as internal control systems, operational audits, codes of conduct and forensic accounting have been applied in organizations aiming to effectively mitigate internal fraud activities. However, fraud is still occurring. This study is therefore aimed to develop a multidimensional theoretical model which explains factors (categorized under attitude, subjective norms and perceived behavioral controls) that influence Levers of Controls (LOC); how level of LOC could influence fraud prevention framework as well as whether LOC could mediate the relationship between planned behavioral variables and effective fraud prevention framework. Concerning more on the adoption and post-adoption stages regarding drivers of LOC, this study constructs a model in attempt to close the knowledge gaps found in prior studies. From literature review, theories relating with fraud prevention and behavioral controls were examined to identify knowledge gaps within previous measurements of effective fraud prevention framework. A multidimensional Fraud Prevention (FP) model is then developed by innovating the Theory of Planned Behavior (TPB).
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.