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Record W2155653266 · doi:10.5539/ijms.v4n1p48

Examining Consumer Ethnocentrism amongst Jordanians from an Ethnic Group Perspective

2012· article· en· W2155653266 on OpenAlexvenueno aff
Saeb Farhan Al Ganideh, Hameed Al Taee

Bibliographic record

VenueInternational Journal of Marketing Studies · 2012
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Behavior in Brand Consumption and Identification
Canadian institutionsnot available
Fundersnot available
KeywordsEthnocentrismConsumer ethnocentrismPurchasingEthnic groupBusinessScale (ratio)MarketingPerspective (graphical)AdvertisingPsychologySocial psychologyPolitical scienceGeography

Abstract

fetched live from OpenAlex

Consumer ethnocentrism literature has focused on examining ethnocentric tendencies among consumers from developed countries utilizing the well-known consumer ethnocentrism scale. This study aims to measure Jordanian consumers' ethnocentric tendencies towards Arabian products and to explore how such ethnocentric tendencies vary based on their demographic variables. Data were collected from a total of 372 Arab Jordanian consumers who live in Amman city during the winter of 2008. The findings of the current study indicate that Jordanian consumers have strong ethnocentric tendencies towards purchasing products of Arab countries. Moreover, the findings reveal that Jordanian consumers' ethnocentric tendencies towards purchasing Arabian products did not vary by gender, marital status, income and age. However, geographical location proved to have significant influence on Jordanians' ethnocentric tendencies towards products made in Arab countries. Overall, the concept of consumer ethnocentrism can help Arab and global marketers to develop more effective marketing strategies.

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)0.002
metaresearch head score (Gemma)0.002
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 score0.209
Threshold uncertainty score0.601

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.100
GPT teacher head0.358
Teacher spread0.258 · 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

Citations27
Published2012
Admission routes1
Has abstractyes

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