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Record W7055816405

Cross-cultural differences in the consumers perception of Corporate Social Responsibility : A quantitative study among Austrian, Canadian and Taiwanese customers

2018· article· en· W7055816405 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity Library Linz repository (Johannes Kepler Universitat Linz) · 2018
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsCorporate social responsibilityPerceptionSocial responsibilityBusiness ethicsCultural valuesRank (graph theory)Willingness to pay
DOInot available

Abstract

fetched live from OpenAlex

The following thesis aims on investigating the perception consumers have of corporate social responsibility.Based on a quantitative survey, a cross-cultural comparison between Austria, Canada and Taiwan is conducted.The main aim of this analysis is to identify the influence of underlying cultural values on the consumers' perception and expectation of CSR practices.The thesis examines the consumers' general willingness to support socially responsible businesses as well as the allocated importance towards the economic, legal, ethical and philanthropic responsibilities.The results of the study show that Austrian, Canadian and Taiwanese consumers have the same level of general support for corporate social responsibility.Nevertheless, differences in the attributed importance of the four corporate responsibilities exist.All three investigated societies rank the legal responsibilities as the most important ones.However, the Austrian and Canadian consumers evaluate the ethical responsibilities as the second most significant category whereas their Taiwanese counterparts put the economic one on the second place.For all three countries, the philanthropic responsibilities receive the least importance.These findings underline that there are differences in the consumers' perception of CSR across cultures.Nevertheless, in contrast to previous research, the similarities between the three investigated societies prevail over the disparities.Hence, the expectations consumers have towards CSR seem to assimilate in today's globalized business world.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.260
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.029
GPT teacher head0.259
Teacher spread0.230 · 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.

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
Published2018
Admission routes1
Has abstractyes

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