Abstract
Bribery has become the kind of corruption with the highest annual incidence rate. Therefore, the hunt for solutions to these problems must continue. Consequently, this research must be conducted. The objective is to examine how big data and the whistle-blowing system affect the prevention of bribery. This investigation was conducted utilizing a quantitative methodology. 191 auditors from the Financial and Development Supervisory Agency (BPKP), the Supreme Audit Agency (BPK), and the Indonesian Government Inspectorate were surveyed via distributing questionnaires. This research employs structural equation modeling (SEM) with the assistance of the smartPLS application for statistical testing. Both big data and the whistle-blowing system have proven to have a positive impact on bribery prevention, according to the findings of this study.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
