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Record W4396680454 · doi:10.1590/s0034-759020240405x

DISTRIBUIÇÃO DE VALOR PARA OS STAKEHOLDERS: UM ESTUDO SOBRE PODER E IMPORTÂNCIA ESTRATÉGICA NA BOLSA DE VALORES DE TORONTO

2024· article· pt· W4396680454 on OpenAlexaboutno aff
Mauricio Mendonça de Araújo, Ronaldo de Oliveira Santos Jhunior, Mariana Torres Uchôa, Jo�ão Maurício Gama Boaventura

Bibliographic record

VenueRevista de Administração de Empresas · 2024
Typearticle
Languagept
FieldBusiness, Management and Accounting
TopicFinancial Reporting and Valuation Research
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceBusinessHumanitiesArt

Abstract

fetched live from OpenAlex

RESUMO Os diferentes grupos de stakeholders e seus aspectos de influência na alocação de valor vêm ganhando crescente demanda por parte das organizações e da academia. Na literatura recente de stakeholders, há um desenvolvimento teórico sobre distribuição de valor considerando atributos de importância estratégica e poder; no entanto, a literatura ainda carece de estudos empíricos para analisar e compreender a relação. Este trabalho tem como objetivo verificar a associação entre poder e importância estratégica dos stakeholders e a distribuição de valor a eles por empresas de capital aberto na Bolsa de Valores de Toronto (TSX). Para obter as informações relevantes sobre o tratamento dado pelas empresas aos seus stakeholders, analisamos o conteúdo de 104 prospectos para o processo de IPO da TSX de 2008 a 2019. Os resultados revelaram que o poder e a importância estratégica são relevantes para a distribuição de valor aos stakeholders e que a importância estratégica dos stakeholders tem uma influência mais significativa quando comparada ao seu poder. Quanto às contribuições, o nosso estudo avança debates anteriores na literatura de stakeholders em termos teóricos e práticos.

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)0.007
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.433
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0050.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.109
GPT teacher head0.363
Teacher spread0.254 · 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 designNot applicable
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

Citations0
Published2024
Admission routes1
Has abstractyes

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