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Cited by 330

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Auditors' Identification with Their Clients and Its Effect on Auditors' Objectivity

Open access
Bamber, E. Michael, Iyer, Venkataraman M.·2007·AUDITING: A Journal of Practice & Theory

Abstract

This study empirically models auditors' relationships with their clients. The Independence Standards Board (ISB 2000) identified auditors' familiarity with the client as one of five threats to auditor independence. Yet familiarity with the client is necessary for auditors to understand the client well enough to plan and perform an effective and efficient audit. We introduce a theory-based measure of the extent to which auditors identify with a client, which we then use to directly measure auditors' attachment to the client and the threat of this attachment to auditors' objectivity. The responses of 252 practicing auditors support our theoretical predictions. Specifically, we find that auditors do identify with their clients and that auditors who identify more with a client are more likely to acquiesce to the client-preferred position. On the other hand, more experienced auditors and auditors who exhibit higher levels of professional identification are less likely to acquiesce to the client's position.

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Metadata

Authors
Bamber, E. M., & Iyer, V. M.
Venue
AUDITING: A Journal of Practice & Theory
Published
2007-11-01
Volume
26
Issue
2
Pages
1-24
ISSN
  • 0278-0380 (ISSN-L)
  • 1558-7991
OpenAlex
W3126021128
Cited by
330
References
2
FWCI
17.60
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Auditors' Identification with Their Clients and Its Effect on Auditors' Objectivity. https://app.cochat.ai/papers/10.2308/aud.2007.26.2.1
The paper
Bamber, E. M., & Iyer, V. M. (2007). Auditors' Identification with Their Clients and Its Effect on Auditors' Objectivity. AUDITING: A Journal of Practice & Theory. https://doi.org/10.2308/aud.2007.26.2.1

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.