MétaCan
Menu
Back to cohort
Record W6982405571

Impacto de una estrategia de marketing deportivo en la intención de afiliación de consumidores a un club de fútbol tradicional de la ciudad de Trujillo, en el 2018 (Tesis Parcial)

2018· dissertation· en· W6982405571 on OpenAlexaboutno aff

Bibliographic record

Venuerenati · 2018
Typedissertation
Languageen
FieldSocial Sciences
TopicOccupational Health and Global Justice
Canadian institutionsnot available
Fundersnot available
KeywordsClubConsumption (sociology)Quarter (Canadian coin)Order (exchange)ClothingSample (material)
DOInot available

Abstract

fetched live from OpenAlex

ABSTRACT
\nIn recent years, Peru has been one of the countries that has grown the most economically in the
\nregion, sports trade is one of the sectors that has come to progress considerably. An example of this
\nis the classification of the Peruvian Soccer Team to the World Cup of Russia, which has a greater
\ninterest in the consumption of sportswear, as well as different badges related to the representative
\nteam of this sport in our country.
\nIn the last quarter of 2017, the sale of t-shirts and costumes multiplied. In addition, it has served for
\nbanks in the banking sector to sponsor the Peruvian national team and players, and point out their
\nstrategies to penetrate the mass segments across the globe.
\nSoccer is considered a business model with a clear marketing presence, which serves as an effective
\ntool to sell a brand based on the passion it has for the part of the fans and fans of the club.
\nThe present investigation was carried out in order to determine to what extent a sports marketing
\nstrategy impacts the attention of the affiliation of consumers to a soccer club in the city of Trujillo, in
\n2018, and the percentage of acceptance of the strategy of proposed marketing linked to the behavior
\nof the Trujillo consumer.
\nThis research is Non experimental, descriptive and transversal, due to the fact that phenomena were
\nobserved as they were in context, data was collected in a single moment and in a single time, to later
\nanalyze the results in order to support future investigations. For this purpose, we used a sample of
\n384 people from the city of Trujillo, between the ages of 20 to 59, all of them according to an
\nestablished consumer profile.
\nThe data obtained were tabulated, disseminated through a univariate analysis of frequencies and
\npresented in tables and statistical graphs, obtaining results such as the strategy of sports marketing
\nwere accepted in 77.5%, which evidences an impact on the purchase intention of affiliations of a
\nfootball club in the city of Trujillo, in the year 2018.

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)0.009
metaresearch head score (Gemma)0.013
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.131
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.013
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.010
GPT teacher head0.386
Teacher spread0.376 · 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
Published2018
Admission routes1
Has abstractyes

Explore more

Same venuerenatiSame topicOccupational Health and Global JusticeFrench-language works237,207