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Record W4220806895 · doi:10.30958/ajl.8-2-6

Corporate Social Responsibility in Developed as opposed to Developing Countries and the Link to Sustainability

2022· article· en· W4220806895 on OpenAlexaboutno aff
Revantha Gajadhur

Bibliographic record

VenueAthens Journal of Law · 2022
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInnovation and Socioeconomic Development
Canadian institutionsnot available
Fundersnot available
KeywordsCorporate social responsibilitySustainabilityDeveloping countryBusinessTriple bottom lineHospitalityPublic relationsCorporate sustainabilityMarketingAccountingEconomic growthPolitical scienceEconomicsTourism

Abstract

fetched live from OpenAlex

This article reviews and incorporates the findings of academic Corporate Social Responsibility (CSR) and sustainability studies to guide hotels in achieving sustainability through CSR initiatives. To date, limited empirical research on CSR in developing countries is available. A triple-bottom-line approach employs companies to balance the needs of stakeholders, allowing them to give back to society while still prospering. Organisations follow CSR activities for a number of reasons, including enhancing the organisational image and strengthening relationships with consumers and stakeholders. CSR is most widely used in developed countries, such as the USA, Canada, and the UK. Consequently, given the lack of progress in CSR implementation in the developing world, this article illustrates some of the gaps identified in developing countries. This is significant because, for the first time, scholars in developing countries are exploring deeply into the concept of CSR. Thus, the article clearly sets the stage for businesses to participate in CSR activities by identifying the return and advantages of making investments for CSR activities within its relevant sectors. In other words, investigating the relationship between CSR and company performance. This article fills the gap and is unique in that it analyses existing CSR practices and offers guidance to business organisations. Keywords: Corporate Social Responsibility; Company Performance; Sustainability; Circular Economy; Hospitality 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)0.005
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.864
Threshold uncertainty score0.463

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
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 head0.039
GPT teacher head0.281
Teacher spread0.242 · 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 designTheoretical or conceptual
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

Citations13
Published2022
Admission routes1
Has abstractyes

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