MétaCan
Menu
Back to cohort
Record W4229049261 · doi:10.3390/jrfm15020058

Xenocentrism and Consumer Buying Behavior: A Comparative Analysis of Malaysian vs. Nigerian Consumers

2022· article· en· W4229049261 on OpenAlexvenueno aff
Vimala Venugopal, Mário Nuno Mata, Chiemelie Benneth Iloka, Rui Miguel Dantas, Anabela Batista Correia, João Xavier Rita, José Moleiro Martins

Bibliographic record

VenueJournal of risk and financial management · 2022
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Behavior in Brand Consumption and Identification
Canadian institutionsnot available
Fundersnot available
KeywordsProduct (mathematics)BusinessMarketingContext (archaeology)Quality (philosophy)Structural equation modelingGlobeConsumer behaviourAdvertisingPsychologyMathematicsGeographyStatistics

Abstract

fetched live from OpenAlex

Across the globe, xenocentrism has emerged as a critical concept for understanding the behavior of consumers towards the purchase of local and foreign products. In line with this context, and based on samples collected from Malaysia and Nigeria, this study analyzed the direct effects of xenocentrism on the buying behavior of consumers towards imported products with perceived product quality, purchase intention, and product attitude as the variables used to measure consumers’ buying behavior. XSCALE was used to measure xenocentrism, and the research model was analyzed with the partial least squares form of structural equation modeling. A total of 400 responses were gathered from Malaysia, whereas 453 responses were gathered from Nigeria. Findings from the investigation show that xenocentrism has a positive influence on perceived product quality (Malaysia = 46.7%, Nigeria = 35%), purchase intention (Malaysia = 46%, Nigeria = 47.3%), and product attitude (Malaysia = 39.2%, Nigeria = 38.4%), Based on these findings, this study concluded that xenocentrism is a valid construct for assessing the purchase behavior of consumers in Malaysia and Nigeria towards foreign products competing in their local markets. On the same note, the findings from this research can be used to develop sustainable marketing strategies suitable for xenocentric consumers across Malaysia and Nigeria (in particular), and the entire developing economies (in general).

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)0.001
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 score0.313
Threshold uncertainty score0.609

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.017
GPT teacher head0.242
Teacher spread0.225 · 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

Citations15
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueJournal of risk and financial managementSame topicConsumer Behavior in Brand Consumption and IdentificationFrench-language works237,207