MétaCan
Menu
Back to cohort
Record W3120157357 · doi:10.5267/j.msl.2020.12.009

Consumers’ attitudes towards purchase intention for local brand automobiles manufactured in Malaysia

2021· article· en· W3120157357 on OpenAlexvenueno aff
Anyanwu Hilary Chinedu, Sharifah Azizah Haron, Ahmad Hariza Hashim, Jo Ann Ho

Bibliographic record

VenueManagement Science Letters · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Behavior in Brand Consumption and Identification
Canadian institutionsnot available
Fundersnot available
KeywordsEthnocentrismCollectivismConsumer ethnocentrismBusinessMarketingExtant taxonPsychologyAdvertisingDeveloping countrySocial psychologyEconomicsIndividualism

Abstract

fetched live from OpenAlex

The damaging effects of market globalization towards developing countries necessitate the exhibition of favorable attitudes towards purchase intention for local brand automobiles manufactured locally. With the application of moral foundation theory (MFT), a quantitative and cross-sectional study that involved 373 Proton potential consumers through a mall intercept survey in Malaysia was analyzed. The results show that Proton’s potential consumers had favorable attitudes towards purchase intention for Proton automobiles. Subsequent to a high mean score of collectivism and a moderate mean score of ethnocentrism, Proton potential consumers’ ethnocentric tendency offers a contradiction to extant literatures on consumer ethnocentrism in developing countries. Thus, our study posits that consumers from collectivistic societies are ethnocentric and further display favorable attitudes towards local products. Additionally, the predictive effects of consumer ethnocentrism and collectivism on attitudes towards purchase intention for local brand automobiles manufactured locally were ascertained. Our findings validated the applicability of MFT in explaining consumers’ attitudes towards local products. Other implications are also discussed.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.811
Threshold uncertainty score0.789

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 communication0.0010.001
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 head0.025
GPT teacher head0.273
Teacher spread0.248 · 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

Citations8
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueManagement Science LettersSame topicConsumer Behavior in Brand Consumption and IdentificationFrench-language works237,207