The DOI matches its Crossref record; 58 of the 59 references it cites were found in a registry or an index.
The Case of Sustainability Assurance: Constructing a New Assurance Service *
Abstract
This paper presents an in-depth longitudinal case study examining the processes through which practitioners in two Big 4 professional services firms have attempted to construct sustainability assurance (independent assurance on sustainability reports). Power’s (1996, 1997, 1999, 2003) theorization of the way in which new subject areas are made auditable is used to frame the findings. The case analysis reveals the fragile nature of efforts to innovate with sustainability assurance and render sustainability reporting auditable. It suggests that innovation in new assurance practices may be constrained by an over-reliance on traditional financial audit training and techniques and certain internal professional services firm control procedures. Practitioners are shown to have experienced considerable discomfort in their attempts to construct a stable and legitimate knowledge base for assurance practice. Tacit knowledge embedded in highly subjective assessments of evidence has been frequently enrolled to make assurance possible in the presence of vague guidance from assurance standards. In light of ongoing practitioner struggles, both firms have publicly acknowledged the limitations of traditional financial audit practice operating alone in the conduct of sustainability assurance. In order to offset these limitations, they have proposed a coupling of ‘‘expert’’ stakeholder assessments of reporting completeness with traditional audit assessments of data reliability. This assigns part of the responsibility for delivering on a key assurance objective (reporting completeness) to what many practitioners perceive as questionable stakeholder expertise. The findings extend prior research highlighting the trial and error nature of the processes through which accountants seek to develop their presence in new markets for their expertise. They also question the extent to which the core aims being espoused for sustainability assurance can be substantively aligned with the operational capabilities available within Big 4 professional services firms.
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“Second, unlike financial reporting with its general ledger and double-entry bookkeeping, CSR reporting draws on many separate and ad-hoc measurement systems (O’Dwyer 2011).”
From Mandatory CSR and sustainability reporting: economic analysis and literature review (2021) · cites this paper as O’Dwyer 2011
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Metadata
- Authors
- O’Dwyer, B.
- Affiliations
- University of Amsterdam (NL)
- Corresponding author
- O’Dwyer, Brendan
- ORCID
- O’Dwyer, Brendan
- Venue
- Contemporary Accounting Research
- Publisher
- Wiley
- Published
- 2011-10-24
- Volume
- 28
- Issue
- 4
- Pages
- 1230-1266
- ISSN
- 0823-9150 (ISSN-L)
- OpenAlex
- W3121864606
- Cited by
- 321
- References
- 59
- Citations by year
- 2026: 18 · 2025: 27 · 2024: 26 · 2023: 23 · 2022: 19 · 2021: 25 · 2020: 26 · 2019: 23 · 2018: 33 · 2017: 22 · 2016: 14 · 2015: 21 · 2014: 19 · 2013: 18 · 2012: 6
- FWCI
- 46.48
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Contemporary Accounting Research (publishedVersion)
- UvA-DARE (University of Amsterdam) (publishedVersion)
- Research Explorer (The University of Manchester) (publishedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Strategy and Management › Corporate Social Responsibility Reporting
- Social Sciences › Business, Management and Accounting › Accounting › Auditing, Earnings Management, Governance
- Social Sciences › Business, Management and Accounting › Accounting › Accounting and Financial Management
- Keywords
- sustainability assurance, sustainability reporting, auditability, audit training, tacit knowledge, reporting completeness, stakeholder analysis, assurance standards, accounting innovation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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