Audit App: an effective tool for government procurement assurance
Abstract
Recently, governments in many countries have started open data initiatives to make their operations more transparent to citizens. With the
open data, anyone who has an interest in monitoring government spending can apply technologies to perform analyses on open data. This study proposes
29 audit apps that could assist various parties in analyzing open government procurement data.
Author Biography
Qiao Li
is a PhD candidate at Rutgers
University, in New Jersey,
U.S.A. The research work
developed by Li includes
analytical audit, planning
and risk management in
audits, audit support systems,
and machine learning.
Jun Dai
is an assistant professor at
the Southwestern University
of Finance and Economics,
China, and a PhD candidate
at Rutgers University, in New
Jersey, U.S.A. The research
work developed by Dai
includes analytics audit,
automation in audit, audit
applications and blockchain.