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Model of Bureaucratic Corruption Prevention

Author

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  • Tjiptogoro Dinarjo Soehari
  • Iffah Budiningsih

Abstract

The Corruption Perception Index in Indonesia in 2018 is ranked 89th out of 180 countries, far below Singapore, which is in third place and Malaysia at 61st. Therefore, this study aimed to find a model for preventing corruption in government agencies using the independent variables: Organizational Culture (X1), Competence (X2), Leadership (X3), and Internal Control (X4). This research employed quantitative methods (survey), and data analysis uses correlation analysis and multiple regression with the help of the SPSS software program. The number of the target population involved 357 people (employees of government financial institutions), and 100 people were taken randomly as samples. The results showed that: a) the corruption prevention model in government agencies was Y = 1.507 + 0.878 X1-0.365 X2-0.282 X3 + 0.401 X4; b) the variable of organizational culture (X1), competence (X2), leadership (X3), and internal control simultaneously had an R2 value of 0.471, meaning that this variable contributed 47.1% to corruption prevention and the remaining 52.9%. % referred to other factors; c) organizational culture (X1) and internal control (X4) had a dominant effect on corruption prevention (Y); d) competence (X2) and leadership (X3) negatively affected the corruption prevention. This study contributed to lowering the corruption perception index by strengthening organizational culture and internal control, while strengthening competence and leadership must be followed by anti-corruption awareness.

Suggested Citation

  • Tjiptogoro Dinarjo Soehari & Iffah Budiningsih, 2020. "Model of Bureaucratic Corruption Prevention," International Journal of Asian Social Science, Asian Economic and Social Society, vol. 10(10), pages 638-646.
  • Handle: RePEc:asi:ijoass:v:10:y:2020:i:10:p:638-646:id:3221
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    Cited by:

    1. Shaikha Khalfan, 2024. "Wasta in business management: a critical review of recent developments and future trends in the tourism sector," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-10, December.

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