TITLE:
The Use of the Ant Algorithm in the Audit Planning of Multi-Branch Organizations
AUTHORS:
Majed Alsolamy, Gihan Taha
KEYWORDS:
Audit Planning, Audit Risk, Ant Algorithm, Multi-Branch Organization
JOURNAL NAME:
iBusiness,
Vol.13 No.4,
December
30,
2021
ABSTRACT: The study aims to define the important variables to
be considered by auditors during the planning phase in multi-branch
organizations. The objective of the research determines the
possibility of using the ant algorithm as an AI tool suited to plan the audit and identify the audit schedule. The data is based on a survey to collect data to explore the most important factors that influence audit planning. The findings of the
study indicate that: 1) the most important variables in audit
planning in multi-branch organizations are risk and materiality; 2) the application of AI methods helps
reduce bias and judgment of auditors.