Determinants influencing fraud prevention in e-procurement: Empirical evidence from Indonesia

  • Received June 14, 2023;
    Accepted October 20, 2023;
    Published November 29, 2023
  • Author(s)
  • DOI
    http://dx.doi.org/10.21511/im.19(4).2023.16
  • Article Info
    Volume 19 2023, Issue #4, pp. 199-206
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Electronic procurement of government products and services strives to promote good governance by enhancing internal control and fraud prevention. This study aims to assess how e-procurement and internal control can prevent fraud in purchasing goods and services in Indonesia. Participants in the regional work units (SKPD) in Riau’s procurement of goods and services make up the study’s population. The sample included 85 respondents with the requirements for a position relating to the successful procurement of goods and services from December 2021 to December 2022. The paper used a purposeful sampling technique. This study employed a quantitative method and SmartPLS 3.0 to evaluate the data. The results concluded that the implementation of e-procurement (β = 0.231; p < 0.05) and internal control (β = 0.231; p < 0.05) have a substantial impact on fraud prevention during the procurement of goods and services. By absorbing the capital expenditure budget and limiting fraud, it is envisaged that the Indonesian government may maximize its fraud prevention. It is desired that persons involved in procuring products and services constantly broaden their understanding of and perspectives on procurement, particularly those on other crucial aspects of procurement.

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    • Table 1. Questionnaires
    • Table 2. Indicators for independent variables
    • Table 3. Purposive sampling
    • Table 4. Descriptive statistics
    • Table 5. Validity and convergent reliability
    • Table 6. PLS path algorithm and bootstrapping
    • Conceptualization
      Sempaulus Silalahi, Rheny Afriana Hanif
    • Data curation
      Sempaulus Silalahi, Supriono Supriono, Eka Hariyani, Meilda Wiguna
    • Formal Analysis
      Sempaulus Silalahi, Rheny Afriana Hanif
    • Methodology
      Sempaulus Silalahi, Rheny Afriana Hanif, Supriono Supriono, Eka Hariyani, Meilda Wiguna
    • Resources
      Sempaulus Silalahi
    • Software
      Sempaulus Silalahi, Rheny Afriana Hanif
    • Supervision
      Sempaulus Silalahi
    • Validation
      Sempaulus Silalahi, Rheny Afriana Hanif, Supriono Supriono, Eka Hariyani, Meilda Wiguna
    • Writing – original draft
      Sempaulus Silalahi, Supriono Supriono
    • Visualization
      Rheny Afriana Hanif
    • Writing – review & editing
      Rheny Afriana Hanif, Eka Hariyani, Meilda Wiguna
    • Investigation
      Supriono Supriono, Eka Hariyani, Meilda Wiguna