The effects of auditor rotation on client management's negotiation strategies
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Purpose – The purpose of this paper is to examine how audit partner rotation impacts the negotiation strategies client management intends to use to resolve a financial reporting issue. Design/methodology/approach – An experiment that manipulates between participants on whether the audit partner rotates from the prior fiscal year (rotation versus non-rotation) is conducted to test the theoretical implications of rapport. Participants with a high level of business and managerial experience indicate their intended use of 25 reliable negotiation tactics that client management may use to resolve a financial reporting issue with the external auditor. These tactics underlie three distributive (contending, compromising, conceding) and two integrative (problem solving, expanding the agenda) negotiation strategies. Findings – The results of the study indicate that client management is less contentious and more concessionary (i.e. accommodating) to a newly rotated audit partner, as compared to an audit partner that has established rapport with client management. Further, client management is more willing to intend using integrative and compromising (i.e. co-operative) negotiation strategies when negotiating with an audit partner with established rapport in contrast to a newly rotated audit partner. Research limitations/implications – These findings underscore the merits and costs of audit partner rotation in auditor-client management (ACM) negotiations and document that partner rotation affects not only auditor behaviour, but also the behaviour of client management. Originality/value – This paper is the first that considers how developing and maintaining rapport impacts ACM negotiations. The study provides empirical evidence to further inform debates over auditor rotation.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it