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Record W4385760409 · doi:10.3390/su151612274

Exploring the Impact of Corporate Philanthropy on Brand Authenticity in the Luxury Industry: Scale Development and Empirical Studies

2023· article· en· W4385760409 on OpenAlexaff
Trespeuch Léo, Élisabeth Robinot

Bibliographic record

VenueSustainability · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Social Responsibility Reporting
Canadian institutionsUniversité du Québec à MontréalUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsLeverage (statistics)MarketingBusinessReputationAdvertisingScale (ratio)PerceptionEmpirical researchBrand managementFast-moving consumer goodsBrand equityCorporate brandingSociologyPsychology

Abstract

fetched live from OpenAlex

The objective of this study was to investigate the concept of perceived corporate philanthropy (PCP) among consumers of luxury goods and examine the differences these consumers perceive in terms of philanthropic actions, particularly within the luxury sector. To address this question, we adopted the following approach: (1) Defining the concept of PCP through an extensive analysis of 2590 articles using GEPHI methodology. (2) Developing a measurement scale for the PCP construct. (3) Exploring the impact of PCP on perceived brand authenticity by comparing consumers of luxury hotels and standard hotels. The results of our multigroup analysis indicated a significant difference among consumers. Corporate philanthropic strategies had a notably stronger influence on the perception of PCP among luxury hotel consumers. This finding underscores the substantial divergence within the luxury marketing literature. These consumers seek brands that align with their desire to associate themselves with robust and authentic brands that carry symbolic significance, which allows them to identify and connect with these brands. By consuming these brands, they are able to attain their desired status. This study sheds light on a significant variable in contemporary marketing, namely, PCP, which provides new avenues for differentiation and leverage within the luxury goods industry. As a result, this study provides valuable managerial recommendations to companies and NGOs, aiming to assist them in tailoring their philanthropic strategies to effectively resonate with their target audiences and bolster their brand reputation.

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)0.006
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 score0.033
Threshold uncertainty score0.710

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
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 head0.267
GPT teacher head0.392
Teacher spread0.124 · 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

Citations7
Published2023
Admission routes1
Has abstractyes

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