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Record W2745077882 · doi:10.5539/jms.v7n3p63

CSR Aimed at Clients of an Animal Nutrition Business: A Case Study

2017· article· en· W2745077882 on OpenAlexvenueno aff
Julio César López Figueroa, Rene Daniel Fornés Rivera, Elizabeth González Valenzuela

Bibliographic record

VenueJournal of Management and Sustainability · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education and Sustainability
Canadian institutionsnot available
Fundersnot available
KeywordsCorporate social responsibilityBusinessOrder (exchange)Competitive advantageValue (mathematics)MarketingBusiness planEmpirical researchPoint (geometry)Public relationsPolitical science

Abstract

fetched live from OpenAlex

The objective of the present study is to elaborate a proposal of socially responsible practices aimed at the clients of a Mexican business whose commercial activity is the elaboration of products for animal nutrition and which does not at present have a formal CSR approach in their strategy and therefore lacks important competitive advantages for operating in the business market today.A literary revision in which the evolution of CSR was presented was carried out as part of this research. We also analyzed three main models for managing CSR in organizations and made a description of some empiric studies of CSR aimed at clients. In the development of the methodology a case study was used, resulting in a diagnosis of the situation of the business with respect to CSR along with a plan for improvement which contains the socially responsible practice proposals suggested in order to create a value relationship with this particular interest group.It is important to point out that we worked together with the members of the marketing department of the business under study, because it is attending to the needs of the clients, making the employees experience very valuable in determining proposed practices. The results of this research were intended to contribute empirical evidence about the application of CSR in the organizational strategies of emerging-market countries, while increasing existing CSR research in Mexican national industries.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.279
Threshold uncertainty score0.941

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.023
GPT teacher head0.379
Teacher spread0.356 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

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