Determinants influencing fraud detection: Role of internal auditors’ quality

  • 503 Views
  • 241 Downloads

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License

Frequent occurrences of fraud take place due to poor fraud prevention and detection. The purpose of this study is to ascertain the impact of internal audit effectiveness and continued professional commitment to fraud detection with internal auditors’ quality as a moderating variable. Seventy-eight questionnaires were distributed to internal auditors and supervisors at the Inspectorate of Riau City, Indonesia, who had at least two years of experience. Structural equation modeling (SEM) 3.0 software was used for the data analysis. According to the study’s findings, the effectiveness of internal control (β = –0.932; p < 0.05) and the effectiveness of internal auditors (β = 1.149; p < 0.05) both have an impact on fraud detection. However, ongoing professional commitment (β = 0.069; p > 0.05) has no impact. Quality of internal auditors does not affect the relationship between the effectiveness of internal audits (β = –0.190; p > 0.05), the effectiveness of internal control (β = 0.114; p > 0.05), continued professional commitment (β = 0.018; p > 0.05), and fraud detection. The findings of this study can be used as guidance for management to enhance the performance of internal auditors and for considerations and assessments for fraud detection in the public sector.

view full abstract hide full abstract
    • Table 1. Measurement of research variables
    • Table 2. Descriptive statistics
    • Table 3. Convergent validity and reliability
    • Table 4. PLS Path algorithm and bootstrapping
    • Conceptualization
      Eka Hariyani, Supriono Supriono
    • Data curation
      Eka Hariyani, Rheny Afriana Hanif, Sem Paulus Silalahi, Meilda Wiguna
    • Formal Analysis
      Eka Hariyani, Supriono Supriono
    • Methodology
      Eka Hariyani, Supriono Supriono, Rheny Afriana Hanif, Sem Paulus Silalahi, Meilda Wiguna
    • Resources
      Eka Hariyani
    • Software
      Eka Hariyani, Supriono Supriono
    • Supervision
      Eka Hariyani
    • Validation
      Eka Hariyani, Supriono Supriono, Rheny Afriana Hanif, Sem Paulus Silalahi, Meilda Wiguna
    • Writing – original draft
      Eka Hariyani, Rheny Afriana Hanif
    • Visualization
      Supriono Supriono
    • Writing – review & editing
      Supriono Supriono, Sem Paulus Silalahi, Meilda Wiguna
    • Investigation
      Rheny Afriana Hanif, Sem Paulus Silalahi, Meilda Wiguna