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Record W2145472830 · doi:10.1108/14720701211267829

Value‐added reporting as a tool for sustainability: a Latin American experience

2012· article· en· W2145472830 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCorporate Governance · 2012
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Social Responsibility Reporting
Canadian institutionsPricewaterhouseCoopers (Canada)
Fundersnot available
KeywordsAccountabilityLatin AmericansOriginalityValue (mathematics)Corporate governanceAccountingVariety (cybernetics)Public relationsCorporate social responsibilityBusinessPosition (finance)Sustainability reportingSustainabilityMarketingQualitative researchPolitical scienceSociologyFinanceComputer scienceSocial science

Abstract

fetched live from OpenAlex

Purpose The purpose of this paper is to present a collection of ongoing experiences with a value‐added reporting model in Latin America, positing its pertinence with regards to CSR accountability. Design/methodology/approach The paper utilises a qualitative methodology in which a series of semi‐structured telephone interviews and/or e‐mail questionnaires with managers from six reporting companies in Latin America (Chile, Colombia, Uruguay) was conducted. The fact that one of the authors of this paper created the reporting model facilitated easier access to company managers and a deeper understanding of each situation. A literature review from European, US and Latin American sources provides a framework for discussion. Findings The paper illustrates how value‐added statements (which are based on conventional financial accounting) can provide relevant information for CSR accountability. The variety of experiences shown (different industries and diverse company ownership in separate countries) may suggest the wide potential of this reporting model. Research limitations/implications As the paper deals with a recent, ongoing experience (this model has been in use for the last six years only), the results have to be treated with caution. Even though many firms are interested in adopting this value‐added model, there are currently fewer than 20 reporting firms using it. Social implications The paper aims to position value distribution and its accountability as relevant issues in CSR, particularly for developing countries. In addition, such an intuitive model might more easily reach the general public, something that rarely happens with conventional CSR reporting models. Originality/value This is the first academic paper that demonstrates the application of this reporting model (though the authors already published a practitioner‐oriented article in Spanish). Furthermore, there are few documented cases of value‐added reporting experiences in emerging markets, particularly in Latin America.

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.

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)0.034
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 score0.088
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.034
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0000.000
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 head0.050
GPT teacher head0.303
Teacher spread0.253 · 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