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Record W7014565578

Plan estratégico de marketing para el área de vehículos usados de AUTOMOTORES CONTINENTAL S.A. matriz el Labrador en el Distrito Metropolitano de Quito

2011· dissertation· es· W7014565578 on OpenAlexaboutno aff

Bibliographic record

VenueRepositorio Institucional de la Universidad de las Fuerzas Armadas ESPE (Universidad de las Fuerzas Armadas ESPE) · 2011
Typedissertation
Languagees
FieldEconomics, Econometrics and Finance
TopicBusiness, Innovation, and Economy
Canadian institutionsnot available
Fundersnot available
KeywordsPlan (archaeology)Field (mathematics)Order (exchange)Marketing plan
DOInot available

Abstract

fetched live from OpenAlex

Automotores Continental S.A., creado en 1.972, es un concesionario de General Motors, que se dedica a la comercialización de vehículos y repuestos Chevrolet, y al mantenimiento de vehículos a través de su servicio de talleres, destacándose en el mercado por sus años de experiencia en el sector automotriz. Con la finalidad de ampliar su negocio y como una estrategia para impulsar las ventas de vehículos nuevos, ha creado el área de Vehículos Usados, recibiendo toda clase de vehículos multimarca. A pesar de su trayectoria en el mercado, al tratarse de un negocio nuevo, Vehículos Usados, no presenta un adecuado nivel de ventas, debido a que no cuenta con un plan de Marketing que le permita emplear las estrategias necesarias para alcanzar un nivel de ventas similar al del as demás áreas de la empresa. El presente Plan de Marketing, se ha desarrollado con el objetivo de establecer las estrategias necesarias para que el área de Vehículos Usados de Automotores Continental S.A. incremente sus ventas y de esta manera pueda aumentar su participación de mercado.

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)0.001
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), Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.232
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0020.003
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0030.002
Science and technology studies0.0020.001
Scholarly communication0.0010.003
Open science0.0030.001
Research integrity0.0030.003
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 head0.012
GPT teacher head0.252
Teacher spread0.240 · 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 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
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueRepositorio Institucional de la Universidad de las Fuerzas Armadas ESPE (Universidad de las Fuerzas Armadas ESPE)Same topicBusiness, Innovation, and EconomyFrench-language works237,207