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Record W6981569507

Estrategias de internacionalización para la exportación del calzado de la empresa calzados paredes S.A.C. al país de Chile para el periodo 2014-2019 (Tesis parcial)

2017· dissertation· en· W6981569507 on OpenAlexaboutno aff

Bibliographic record

Venuerenati · 2017
Typedissertation
Languageen
FieldEconomics, Econometrics and Finance
TopicBusiness, Innovation, and Economy
Canadian institutionsnot available
Fundersnot available
KeywordsInternationalizationOrder (exchange)Product (mathematics)Quality (philosophy)DestinationsInternational marketTarget market
DOInot available

Abstract

fetched live from OpenAlex

ABSTRACT 
\nThe main objective of this thesis is to propose internationalization strategies in order to
\nexport the footwear of the company from Trujillo “Calzados Paredes SAC” and
\nencourage it’s international openness, through a pre-selection of markets among them are
\nEcuador, United States, Canada, Chile and the Dominican Republic, which are still the
\nmain destinations of Peruvian exports of footwear in the last 5 years, resulting as the best
\nattractive market to export to our neighboring country Chile; this country is interesting for
\nhaving a stable economy, economic agreements, is simpler and cheaper to start a
\nbusiness with this country; also has a transparent environment, well regulated and
\npolitically steady. 
\n
\nIn order to determine the best strategies for internationalization to be used, we take 
\nadvantage of the national recognition and the entrepreneurship from “La Libertad”,
\nespecially the city of Trujillo, having as Information Base the export enterprises from “la
\nLibertad”. 
\n
\nThe proposed strategies are differentiation and market penetration, through them the 
\nenterprise Calzados Paredes S.A.C. would have a better commercial vision and will allow
\nthe opening to the Chile’s Market, developing a product of quality to an exigent market,
\nidentifying the needs from the segment to which the footwear is intended.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.080
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.028
GPT teacher head0.293
Teacher spread0.265 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

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