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Record W2888338721 · doi:10.5539/jms.v8n3p16

Brand Management and Business Performance in Mexican Small Business

2018· article· en· W2888338721 on OpenAlexvenueno aff
Gonzalo Maldonado Guzmán, Jesus Francisco Mellado-Siller, Edith Reyes-Ruiz

Bibliographic record

VenueJournal of Management and Sustainability · 2018
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicBusiness, Innovation, and Economy
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessMarketingBrand managementOrder (exchange)Sample (material)Relation (database)Structural equation modelingEmpirical researchBusiness relationship managementElectronic businessBusiness modelComputer science

Abstract

fetched live from OpenAlex

Brand management is a relatively new topic in marketing literature and it is considered by several researchers, academics and professionals, as one of the most important business strategies that allow not only a significant growth of the business performance of small enterprises, but also their continuity in the market where they participate. Similarly, brand management has also been analyzed and discussed at the core of enterprises and there are relatively few investigations that focus on small enterprises, and there are even less researches carried out in developing countries. For these reasons, the main goal of this empirical research is the analysis and discussion of the effects of brand management on the level of business performance in small enterprises, by using a sample of 300 small firms and by implementing a model of structural equations of second order, that can provide a deeper understanding of the current relation between brand management and business performance. The results obtained show that brand management has a positive and significant in the level of business performance in small enterprises.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.040
Threshold uncertainty score0.676

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.016
GPT teacher head0.201
Teacher spread0.185 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2018
Admission routes1
Has abstractyes

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