E-Procurement Governance and Fraud Detection in Digitally Integrated Public Institutions

Abstract

This study examines how e-procurement governance shapes fraud detection effectiveness across globally integrated public institutions by positioning digital control systems within a broader institutional accountability debate. Using an unbalanced panel of 130 to 160 economies from 2007 to 2025 and about 2,700 observations, the analysis applies fixed effects regression with interaction terms to estimate causal relationships between governance dimensions and fraud detection outcomes. The results indicate that procurement analytics oversight and digital procurement control exert the strongest positive effects, with correlations exceeding 0.73, while supplier data governance and transparency also yield statistically significant improvements in detection capacity. These effects operate through reduced information asymmetry, automated audit trails, and real-time anomaly detection systems that shift monitoring from reactive to proactive enforcement. The findings further reveal that institutional digital control capacity amplifies governance effects, indicating that cybersecurity readiness, audit competence, and enforcement strength condition effectiveness across contexts. The study advances governance theory by integrating control, transparency, data integrity, and analytics into a unified causal framework. The implications show that digital procurement reforms require aligned institutional capacity to deliver measurable integrity gains at scale.

How to cite this article:
Celestin M, Mishra A K. E-Procurement Governance and Fraud Detection in Digitally Integrated Public Institutions. Int J Hum Comp Inter Data Min. 2026; 9(2): 1-23.

DOI: https://www.doi.org/10.24321/3117.4841.202606