What is the key determinant of the credit card fraud risk assessment in Indonesia? An idea for brainstorming

  • Received June 30, 2022;
    Accepted December 15, 2022;
    Published January 10, 2023
  • Author(s)
  • DOI
    http://dx.doi.org/10.21511/bbs.18(1).2023.03
  • Article Info
    Volume 18 2023, Issue #1, pp. 26-37
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This work is licensed under a Creative Commons Attribution 4.0 International License

This study examined the direct effect of brainstorming on fraud risk assessment at credit card issuing banks in Indonesia. Therefore, it was expected to help improve their performance in dealing with various credit card frauds. This study involved 80 participants from the credit card fraud risk management team from four major credit card issuing banks in Indonesia, consisting of the risk management team (anti-fraud specialist) and the internal auditor team. The research was analyzed using the experimental method with a 2X1 factorial design. Analysis of Variance (ANOVA) would test the experimental data. The individuals’ performance (without brainstorming) or the brainstorming group was analyzed using the statistical ANOVA technique. ANOVA analysis produced a sig value of less than 1% and an F-count of 50.556 > 0.143443, which was higher than the F-table. The ANOVA test results concluded that there were differences in assessing the fraud between the respondents with brainstorming and those without it. Through the brainstorming method, it turned out that the respondents in the fraud risk management team provided a more accurate credit card fraud risk assessment from the point of view of the fraud causes and the credit card fraud impacts.
Hence, it is crucial for credit card issuing banks in Indonesia to consistently implement anti-fraud governance by adopting brainstorming to produce a better fraud risk assessment.

Acknowledgments
This research was conducted as part of the process of study completed at the University of Padjadjaran, Bandung, Indonesia. Very special thanks to the participants from major credit card issuer banks who have participated in this research.

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    • Figure 1. Normal line graph (non-brainstorming group)
    • Figure 2. Normal line graph (brainstorming group)
    • Figure 3. Normality histogram (non-brainstorming group)
    • Figure 4. Normality histogram (brainstorming group)
    • Table 1. Factorial design
    • Table 2. Demographic statistics
    • Table 3. Composition of the factorial design
    • Table 4. Descriptive statistics of the experiment participants’ response
    • Table 5. Reasons for fraud risk assessment
    • Table 6. Normality test results
    • Table 7. Homogeneity test
    • Table 8. ANOVA results for assessing the fraud risk management team participants
    • Conceptualization
      Yuli Dewi, Harry Suharman, Poppy Sofia Koeswayo, Nanny Dewi Tanzil
    • Data curation
      Yuli Dewi, Harry Suharman, Poppy Sofia Koeswayo, Nanny Dewi Tanzil
    • Formal Analysis
      Yuli Dewi, Harry Suharman, Poppy Sofia Koeswayo, Nanny Dewi Tanzil
    • Investigation
      Yuli Dewi, Harry Suharman, Poppy Sofia Koeswayo, Nanny Dewi Tanzil
    • Methodology
      Yuli Dewi, Harry Suharman, Poppy Sofia Koeswayo, Nanny Dewi Tanzil
    • Project administration
      Yuli Dewi, Harry Suharman, Poppy Sofia Koeswayo, Nanny Dewi Tanzil
    • Resources
      Yuli Dewi, Harry Suharman, Poppy Sofia Koeswayo, Nanny Dewi Tanzil
    • Software
      Yuli Dewi, Harry Suharman, Poppy Sofia Koeswayo, Nanny Dewi Tanzil
    • Supervision
      Yuli Dewi, Harry Suharman, Poppy Sofia Koeswayo, Nanny Dewi Tanzil
    • Validation
      Yuli Dewi, Harry Suharman, Poppy Sofia Koeswayo, Nanny Dewi Tanzil
    • Visualization
      Yuli Dewi, Harry Suharman, Poppy Sofia Koeswayo, Nanny Dewi Tanzil
    • Writing – original draft
      Yuli Dewi, Harry Suharman, Poppy Sofia Koeswayo, Nanny Dewi Tanzil
    • Writing – review & editing
      Yuli Dewi, Harry Suharman, Poppy Sofia Koeswayo, Nanny Dewi Tanzil