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Factors Affecting the Likelihood of Fraudulent in Procurement Process: the Case of Royal Malaysian Air Force

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  • Mohd Azhar Ramli
  • Nazirah Aziz

Abstract

Procurement encompasses activities and processes of purchasing good products and services in the public or private sector. It has been reported that 60% of fraud and economic crime perpetrators in the public sector were from government officials. Procurement fraud has increased in the public sector since 2012. This study aims to investigate the practice and likelihood of fraud in the Royal Malaysian Air Force (RMAF) procurement process and to recommend the course to improve the effectiveness of implementing the e-procurement system. This study employed a quantitative method to achieve the objectives of the research. This study adopted a questionnaire from previous research instruments used in many studies related to fraud intention as the primary data collection method. The questionnaire was distributed to the selected officers and other ranks within RMAF. The respondents were among all officers and employees involved directly in the procurement process. Using quantitative research for the data collection method allowed the researcher to evaluate and understand this data through statistical analysis. This study's findings revealed that work commitment, capability, and opportunity had a significant association with the likelihood of fraud in the RMAF e-procurement system when Pearson's correlation was used. Results from regression analysis addressed that capability and opportunity significantly influence the possibility of fraud.

Suggested Citation

  • Mohd Azhar Ramli & Nazirah Aziz, 2023. "Factors Affecting the Likelihood of Fraudulent in Procurement Process: the Case of Royal Malaysian Air Force," Accounting and Finance Research, Sciedu Press, vol. 12(3), pages 1-57, August.
  • Handle: RePEc:jfr:afr111:v:12:y:2023:i:3:p:57
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    References listed on IDEAS

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    1. Arjun Neupane & Jeffrey Soar & Kishor Vaidya, 2012. "The potential of e-procurement technology for reducing corruption," International Journal of Information Technology and Management, Inderscience Enterprises Ltd, vol. 11(4), pages 273-287.
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      More about this item

      JEL classification:

      • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
      • Z0 - Other Special Topics - - General

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