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  • 한국과학기술정보연구원(KISTI) 서울분원 대회의실(별관 3층)
  • 2024년 07월 03일(수) 13:30
 

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  • P-ISSN1738-3110
  • E-ISSN2093-7717
  • SCOPUS, ESCI

Role of Big Data Technology and Whistleblowing System in Distribution of Fraud Detection

Role of Big Data Technology and Whistleblowing System in Distribution of Fraud Detection

The Journal of Distribution Science(JDS) / The Journal of Distribution Science, (P)1738-3110; (E)2093-7717
2024, v.22 no.9, pp.1-12
https://doi.org/10.15722/jds.22.09.202409.1
Idrawahyuni (Muhammadiyah Universitㅛ)
Gagaring PAGALUNG (Hasanuddin University)
Darwis SAID (Hasanuddin University)
Grace T. PONTOH (Hasanuddin University)
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Abstract

Purpose: The purpose of the research is to find out and analyze the direct influence of forensic audits and auditor integrity on Fraud Detection and indirect effects through big data technology and whistleblowing systems in Indonesian BPK. The research method used is a survey research method. Surveys are primary data collection methods by asking 254 individual respondents. The unit of analysis is an individual, namely the BPK RI auditors. Results of this study found a forensic audit has a positive and significant effect on fraud detection, Auditor Integrity has a positive and significant effect on Fraud Detection; and forensic Audit has a positive and significant effect on big data technology, A forensic Audit has a positive and significant effect on the whistleblowing system, Integrity auditor has a positive and significant effect on big data technology, The whistleblowing system has a positive and significant effect on fraud detection, Big data technology has a positive and significant effect on fraud detection, The whistleblowing system has a positive and significant effect on fraud detection. Similar to how we used cross-sectional data, future research is urged to use an interview-based qualitative approach to avoid typical technique bias.

keywords
Purpose: The purpose of the research is to find out and analyze the direct influence of forensic audits and auditor integrity on Fraud Detection and indirect effects through big data technology and whistleblowing systems in Indonesian BPK. The research method used is a survey research method. Surveys are primary data collection methods by asking 254 individual respondents. The unit of analysis is an individual, namely the BPK RI auditors. Results of this study found a forensic audit has a positi
투고일Submission Date
2023-11-14
수정일Revised Date
2024-01-10
게재확정일Accepted Date
2024-09-05

The Journal of Distribution Science(JDS)