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Record W2490181621 · doi:10.5539/ibr.v9n9p91

Corporate Social Responsibility and Brand Image: An Empirical Investigation of Private Sector Hospitals in Saudi Arabia

2016· article· en· W2490181621 on OpenAlexvenueno aff
Alaeddin Ahmad, Omar Zayyan Alsharqi, Hussein Mohammad Al-Borie, Mowaffag Mohammed Ashoor, Abdulkaream Saeed Al-Orige

Bibliographic record

VenueInternational Business Research · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Social Responsibility Reporting
Canadian institutionsnot available
Fundersnot available
KeywordsCorporate social responsibilityNonprobability samplingNationalityBusinessBrand imageEmpirical researchPrivate sectorAccountabilityMarketingPrivate labelPosition (finance)Public relationsBusiness administrationAccountingPolitical scienceFinanceEnvironmental healthMedicine

Abstract

fetched live from OpenAlex

<p>The purpose of this paper is to investigate the impact of CSR on brand image of private hospitals in Jeddah city, Saudi Arabia. A purposive sampling technique was employed to recruit 187 managers in different positions representing the desired range of demographic characteristics (e.g. gender, age, nationality, and job position). This research showed that CSR dimensions (vision and workplace) had a positive effect on brand image of the private hospitals on one hand. On the other hand, other dimensions (community relations, marketplace and accountability) had a negative effect on brand image. The paper contributes to previous research by adding to existing knowledge regarding CSR and brand image of the hospitals. The paper makes key recommendations towards adoption of CSR among hospitals.</p>

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)0.007
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 score0.104
Threshold uncertainty score0.856

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.002
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 head0.111
GPT teacher head0.379
Teacher spread0.268 · 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

Citations13
Published2016
Admission routes1
Has abstractyes

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