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Análise estratégica na gestão de pequenas empresas de prestação de serviços : proposição de um modelo no setor hoteleiro de São Carlos

2003· dissertation· pt· W4396948524 on OpenAlexaff
Elaine de Oliveira Machado

Bibliographic record

Venuenot available
Typedissertation
Languagept
FieldDecision Sciences
TopicBusiness and Management Studies
Canadian institutionsInternational Civil Aviation Organization
Fundersnot available
KeywordsStrategic planningInefficiencyBusinessBusiness administrationExploratory researchStrategic managementManagementMarketingSociologyEconomics

Abstract

fetched live from OpenAlex

The main objective of this research is to adapt and improve a route of strategic planning, elaborated for small industrial companies, thro ugh its appl ication in small hotel companies.The strategic planning has been little spread in small companies.T he small Brazilian companies do not have a culture o f strategic planning and states that the lack of strategic planning in small companies implicates in an inefficiency in their making of strategic decisions.The that small hotel companies are characterized by the lack of use of strategic planning in the ir making of dec isions.The appl ication methodology to be developed w ill be research-exploratory.It consists of a category of qualitative research, whose study objective is to describe, register, ana lyze and interpret the phenomena in a rder to know the ir present operation.To reach the objectives proposed in thi s research a fi eld work was deve loped in four hote ls São Carlos (SP) a result the systematization a route of strategic planning is for the section of hotel services.Thus, the importa nce of this researc h lies upon the academic contribution that it intends to offer to researchers, executives belonging to the lodging branch and other inte rested institutions in the subject, in the sense o f promoting a larger understanding o f the practices of applied strateg ic planning in small hotel compani es.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.656
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0020.000
Scholarly communication0.0020.001
Open science0.0030.001
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 head0.062
GPT teacher head0.350
Teacher spread0.288 · 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 designSimulation or modeling
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
Published2003
Admission routes1
Has abstractyes

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