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Record W2040272879 · doi:10.1108/17537981311314718

Multi‐culture consumer behaviour in the Abu Dhabi markets

2013· article· en· W2040272879 on OpenAlexaff
Vanaja Menon Vadakepat

Bibliographic record

VenueEducation Business and Society Contemporary Middle Eastern Issues · 2013
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCustomer Service Quality and Loyalty
Canadian institutionsNew York Institute of Technology
Fundersnot available
KeywordsPsychographicMarketingAbu dhabiGlobalizationMulticulturalismAdvertisingBusinessPopulationCultural diversityEmerging marketsOriginalityTest (biology)Consumer behaviourConsumerismEconomicsSociologyGeographySocial science

Abstract

fetched live from OpenAlex

Purpose Globalization has brought apparent transformations to the UAE market. Shift in market trends due to a growing multicultural population induces marketers to update their marketing strategies. Focusing on the purchase behavior and level of satisfaction of consumers coming from different regions, the purpose of this paper is to examine the influence of multi‐cultural consumers in the buying behaviour in the Abu Dhabi market for durable and non‐durable consumer products. Design/methodology/approach The sampling frame to examine the impact of heterogeneous culture in a geocentric market comprised 300 consumers belonging to different nationalities working in the UAE. Satisfaction Index, Kendall's Coefficient of Concordance and Kruskal–Wallis test were used to test hypotheses constructed from literature. Findings The three hypotheses formulated to test inter‐cultural differences revealed the influence of multi‐culture on consumers' buying behaviour. This paper recommends that by optimizing the utility of well‐advanced digital media in the Emirates, marketers can customize strategies by which to penetrate culturally segmented niches. Originality/value Global marketing is emerging in the Arab markets, assuming that global culture will bring about a paradigm shift from homogenous to heterogeneous buying habits. Exploring the influence of multicultural consumerism, the study illustrates the divergent demands of Abu Dhabi consumers.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.037
Threshold uncertainty score0.991

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 studies0.0000.000
Scholarly communication0.0010.002
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 head0.043
GPT teacher head0.270
Teacher spread0.227 · 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
Published2013
Admission routes1
Has abstractyes

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