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Early Warning Fraud Determinants in Banking Industries

Author

Listed:
  • Wiwik Utami
  • Lucky Nugroho
  • Ratna Mappanyuki
  • Venny Yelvionita

Abstract

This study examined the effect of information technology governance, internal control, and organizational culture of early prevention of potential fraud based on the perception of bank employees. The population was all the Indonesia Stock Exchange listed banks. The sampling method used a combination method, namely random sampling for bank selection and convenience sampling of survey respondents. The number of sample banks that responded was 14 banks, and the number of respondents was 72 people. We measured the variables with a Likert scale and used partial least square (PLS) for the data analysis. The results proved that internal control and organizational culture had a significant positive effect on early warning for fraud. Information technology governance had a positive, but not significant impact on early warning for fraud. Therefore, the banking industry, which has highly regulated business activities has implemented adequate internal control and organizational culture as an effective early warning for fraud. Despite the application of IT in the banking industry in Indonesia it has not been massive, so the influence of IT governance on early warning of fraud was not significant.

Suggested Citation

  • Wiwik Utami & Lucky Nugroho & Ratna Mappanyuki & Venny Yelvionita, 2020. "Early Warning Fraud Determinants in Banking Industries," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 10(6), pages 604-627.
  • Handle: RePEc:asi:aeafrj:v:10:y:2020:i:6:p:604-627:id:1947
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    Cited by:

    1. Pham Tien Dat & Kim Quoc Trung Nguyen, 2023. "Foreign ownership and national governance quality affect liquidity risk – case in Vietnam," Cogent Business & Management, Taylor & Francis Journals, vol. 10(2), pages 2244752-224, December.
    2. Hamid Bekamiri & Seyedeh Fatemeh Ghasempour Ganji & Biagio Simonetti & Seyed Amin Hosseini Seno, 2021. "A New Model to Identify the Reliability and Trust of Internet Banking Users Using Fuzzy Theory and Data-Mining," Mathematics, MDPI, vol. 9(9), pages 1-16, April.

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