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FAR Literature Review - Workload allocation process in audit firms

While the allocation of human resources in audit firms is an important research topic, it has received scant research attention to date. Ideally, when audit firms aim at improving audit efficiency and effectiveness, audit firms should properly assign their clients to auditors who manage and lead the engagement team (so-called ‘lead auditors’ in this project) based on the auditor’s expertise level, industry specialization and other relevant factors that benefit audit efficiency and quality (Becker, 1974; Chatain & Meyer-Doyle, 2012; Durlauf & Seshadri, 2003). However, lead auditors and clients alike may have their own preferences whereby they try to intervene in the allocation process. These interventions may hamper audit quality and efficiency because other factors than proper matching enter into the allocation process. Prior research on workload allocation mainly focuses on the allocation of audit hours to specific audit engagements across staff ranks and how time pressure related to audit assignments may deteriorate audit quality. Only few studies explore the workload allocation process in terms of assigning clients to lead auditors and the consequences of this assignment for audit quality. Our project focuses on a number of factors related to the allocation of lead auditors within the audit firms.

Authors

Prof. dr. Eddy Cardinaels

Eddy Cardinaels (1975) is full Professor of accounting at Tilburg University and part-time professor at KU Leuven. His work combines new insights from psychology and behavioral economics to study how different information presentation (ABC, BSC, summaries of earnings releases) can affect decision making of managers within companies. Other experimental work focuses on drivers of honest reporting and social motives in inter-firm negotiations. He also conducts archival work on corporate governance examining how social connections between board members affect financial reporting, how companies use their networks to engage in tax avoidance and factors that drive (excess) compensation. 

Ruiqiong Zhang PhD student
Ass. Prof. Amin Sofla
Ass. Prof. Simon Dekeyser
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