Abstract
IAASB, in September 2020, has ratified the ISQM 1 (International Standard on Quality Management) which will replace ISQC 1 (International Standard on Quality Control) as of December 2022. The new standard requires the design, implementation, and performance of a quality management system from independent audit firms. While the standard elaborates the quality objectives the system needs to achieve, it leaves determining the risks that complicate, obstruct, and aggravate the achievement of those quality objectives to the audit firms. Audit firms shall define the risks by assessing the incidents, conditions, circumstances, actions and inactions they may encounter while achieving quality objectives and design the appropriate responses.
While audit quality indicators may serve as signals in identifying quality risks, they may also ease the design of appropriate responses. Quality indicators are numeric data sets used in assessing audit quality. Aim of this study is to be able to model the use of quality indicators in risk evaluation process. There are various data sets used, regarding the quality indicators, by shareholders (independent audit firms, public oversight institutions, certified public accountants, etc.) within the independent audit supply chain. In this study, 28 quality indicator data sets publicized by the PCAOB shall be used.