Abstract
Audit scheduling – determining the audit timetable of a firm by assigning auditors to tasks over a planning horizon – is a crucial yet complex planning activity. Audit information is vital to guarantee operational efficiency and ensure the conformity of firm practices with the legal panorama. Nevertheless, audit departments are expensive, hence frequently under-dimensioned. Depending on the size of a firm and how constrained resources are, even finding a feasible audit schedule can be challenging. This paper reviews and systematizes mathematical programming models for tactical audit scheduling. Research directions are devised, considering the gaps that the systematization allows to reveal. Findings suggest that modelling and solving problems from real organizations and accounting for travel times and auditor eligibility, for a given audit activity, are the most appropriate directions for researchers to channel their efforts.
Highlights
Auditing is an ancillary yet fundamental activity
In large organizations, internal audits are valuable to ensure control systems are working according to specifications, as senior management is frequently unaware of the shop floor, and misreporting can happen
This paper extensively reviews and classifies mathematical programming models and solution methods for planning audits. It extends previous work (Mohamed 2015) by reviewing models introduced in the last five years and providing a classification framework for researchers to quickly and unambiguously identify the model used in each paper. This survey establishes directions for future research regarding the topic and how audit planning research can be placed in a broader review to gain exposure from researchers from related fields
Summary
Auditing is an ancillary yet fundamental activity. It consists of having an independent party inspect a given aspect of an organization and evaluating its compliance with established guidelines, norms, and regulations. A better strategy is to combine the speed and available time of computers with the Tactical Audit Planning: A Survey and Classification of Mathematical Programming Models Xavier Andrade ingenious assignment and scheduling strategies that managers can devise (Dodin, Elimam, and Rolland 1998). This paper extensively reviews and classifies mathematical programming models and solution methods for planning audits It extends previous work (Mohamed 2015) by reviewing models introduced in the last five years and providing a classification framework for researchers to quickly and unambiguously identify the model used in each paper. This survey establishes directions for future research regarding the topic and how audit planning research can be placed in a broader review to gain exposure from researchers from related fields.
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