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Record W1512705295

ANÁLISE DA INFLUÊNCIA DA EFICIÊNCIA ORGANIZACIONAL NO VALOR DE MERCADO DAS CONSTRUTORAS BRASILEIRAS

2014· article· pt· W1512705295 on OpenAlexaboutno aff
Alan Henrique dos Santos Pedroso, Patrícia Saltorato

Bibliographic record

VenueRevista Reuna · 2014
Typearticle
Languagept
FieldDecision Sciences
TopicBusiness and Management Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMarket capitalizationCapitalizationIndex (typography)Order (exchange)RevenueQuarter (Canadian coin)Value (mathematics)Positive correlationEconometricsEconomicsMathematicsStatisticsAccountingGeographyFinanceStock marketPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

This study aims to analyze, from the first quarter of 2010 and the fourth quarter of 2012, the correlation between Organizational Efficiency Ratio (IEO), as proposed by Albuquerque and Alencar (2009), and the market value (approximated by Market Capitalization) of the ten companies in the construction sector listed on the BM &FBovespa with higher gross revenue in 2011. for this, the work in question has adapted the methodology proposed by the authors cited to investigate, besides the mentioned correlation, the correlation between the evolution of the Market capitalization over the Selic rate and the Ibovespa, in order to understand which index has better explanatory power on the variation of the Market Capitalization. The results showed that in the period considered, the correlation between the Organizational Efficiency Index and the Market Capitalization was not strong between the cases. The same happened in relation to the Selic rate. The Ibovespa, in turn, showed a strong correlation with the Market Capitalization of the undertakings concerned during the period in analysis.

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)0.004
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.484
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0020.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.008

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 head0.058
GPT teacher head0.351
Teacher spread0.293 · 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; both teacher heads agree on what is shown here.

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
Published2014
Admission routes1
Has abstractyes

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