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Record W2808061455

From Share Value to Shared Value: Exploring the Role of Accountants in Developing Integrated Reporting in Practice

2016· article· en· W2808061455 on OpenAlexaff
Delphine Gibassier, Michelle Rodrigue, Diane‐Laure Arjaliès

Bibliographic record

VenueScholarship@Western (Western University) · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Social Responsibility Reporting
Canadian institutionsWestern UniversityUniversité Laval
Fundersnot available
KeywordsIntegrated reportingMultinational corporationValue (mathematics)BusinessAccountingPublic relationsWork (physics)Creating shared valueEnforcementSustainabilityPolitical scienceCorporate social responsibilityEngineeringFinance
DOInot available

Abstract

fetched live from OpenAlex

The corporate reporting landscape has evolved in the last 20 years from financial reporting to sustainability reporting to “integrated reporting.” The corporate reporting history abounds with different attempts at integrating sustainability accounting with financial accounting (e.g., the Corporate Report 1975 and the “Triple Bottom Line” concept) and thereby attempting to report in an integrated manner. The first corporate integrated reports appeared in 2002, but the new trend remained in the margins. Since 2010, the IIRC (International Integrated Reporting Council) has led the work on building the first Integrated Reporting (IR) framework, published in December 2013. The accounting profession has played a crucial role in pushing the idea of integrated reporting forward. Now it is looking at how it can best participate in IR corporate practice. This report is aimed at accountants who would like to get involved more closely, or even drive, the IR efforts within their company. We begin with an overview of the origins of IR combined with calls for its development, emphasizing the role of the accounting profession in the development of this new corporate reporting framework. Then we discuss the benefits of IR, centered on the holistic thinking it can foster in companies, enabling them to reconsider sustainability challenges and leveraging a stakeholder-inclusive approach to corporate reporting. We then focus on the involvement of accountants within the implementation of IR. Finally, we elaborate on today’s challenges for IR, which include developing a materiality matrix, designing a project mode for the first IR publication process, designing integrated information systems, and navigating the legal environment surrounding IR. The report is based on participative observation within a leading multinational company—pilot of the IIRC—semi-structured interviews with international experts and other multinational companies on their IR journey, as well as documentary evidence collected from 2011 to 2015.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0000.000
Scholarly communication0.0000.008
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.156
GPT teacher head0.333
Teacher spread0.177 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations10
Published2016
Admission routes1
Has abstractyes

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