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1 – 3 of 3Nathanaël Betti, Steven DeSimone, Joy Gray and Ingrid Poncin
This research paper aims to investigate the effects of internal audit’s (IA) use of data analytics and the performance of consulting activities on perceived IA quality.
Abstract
Purpose
This research paper aims to investigate the effects of internal audit’s (IA) use of data analytics and the performance of consulting activities on perceived IA quality.
Design/methodology/approach
The authors conduct a 2 × 2 between-subjects experiment among upper and middle managers where the use of data analytics and the performance of consulting activities by internal auditors are manipulated.
Findings
Results highlight the importance of internal auditor use of data analytics and performance of consulting activities to improve perceived IA quality. First, managers perceive internal auditors as more competent when the auditors use data analytics. Second, managers perceive internal auditors’ recommendations as more relevant when the auditors perform consulting activities. Finally, managers perceive an improvement in the quality of relationships with internal auditors when auditors perform consulting activities, which is strengthened when internal auditors combine the use of data analytics and the performance of consulting activities.
Research limitations/implications
From a theoretical perspective, this research builds on the IA quality framework by considering digitalization as a contextual factor. This research focused on the perceptions of one major stakeholder of the IA function: senior management. Future research should investigate the perceptions of other stakeholders and other contextual factors.
Practical implications
This research suggests that internal auditors should prioritize the development of the consulting role in their function and develop their digital expertise, especially expertise in data analytics, to improve perceived IA quality.
Originality/value
This research tests the impacts of the use of data analytics and the performance of consulting activities on perceived IA quality holistically, by testing Trotman and Duncan’s (2018) framework using an experiment.
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This study aims to assess the impact of determinants on the effectiveness of internal audit (IA) within the banking industry of Bangladesh.
Abstract
Purpose
This study aims to assess the impact of determinants on the effectiveness of internal audit (IA) within the banking industry of Bangladesh.
Design/methodology/approach
The data was obtained through 152 survey questionnaires from a total of 43 privately owned and six state-owned commercial banks in Bangladesh. The analysis was conducted using structural equation modeling.
Findings
The findings demonstrate that the independence of internal auditors and the quality of IA substantially impact enhancing the efficiency of IA. On the other hand, the competence of internal auditors and management support in IA functions do not significantly impact the effectiveness of IA.
Practical implications
The study’s findings may have significant policy implications for the government, regulators, internal auditors, management committees and other stakeholders in establishing programmes to enhance the efficacy of IA as a component of banking audit management reforms.
Originality/value
This study makes three distinct contributions to the existing literature. Firstly, previous literature focused on the determinants affecting the external audit efficiency of the public companies and banking sectors in Bangladesh (Hasan, 2018; M. M. U. Reza, 2021). In this study, the author enhances the research by presenting empirical findings on the IA effectiveness of banks. Secondly, the author expands the research by incorporating both private and state-owned commercial banks as samples. Thirdly, the study is unique given that it investigates the effectiveness of IA in response to the recent financial scandals in the banking industry of Bangladesh (The Daily Star, 2023).
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Keywords
Gianluca Ginesti, Rosalinda Santonastaso and Riccardo Macchioni
This paper aims to investigate the impact of family involvement in ownership and governance on the quality of internal auditing.
Abstract
Purpose
This paper aims to investigate the impact of family involvement in ownership and governance on the quality of internal auditing.
Design/methodology/approach
Leveraging a hand-collected data set of listed family firms from 2014 to 2020, this study uses regression analyses to investigate the impact of family ownership, family involvement on the board, family CEO and the generational stage of the family business on the quality of internal auditing.
Findings
The results provide evidence that family ownership is positively associated with the quality of internal auditing, while later generational stages of family businesses have the opposite effect. Additional analyses reveal that the presence of a sustainability board sub-committee moderates the relationship between generational stages of family businesses and the quality of internal auditing function.
Research limitations/implications
This paper does not consider country-institutional factors and other potentially family-related antecedents or governance factors that may affect the quality of internal auditing.
Practical implications
The results are informative for investors and non-family stakeholders interested in understanding under which conditions family-related factors influence the quality of internal auditing functions.
Originality/value
This study offers fresh evidence regarding the relationship between family-related factors and the quality of internal auditing and board sub-committees that moderate such a relationship in family businesses.
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