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Record W1587163484 · doi:10.1108/apjml-07-2013-0090

Attenuating double jeopardy of negative country of origin effects and latecomer brand

2013· article· en· W1587163484 on OpenAlex
Hamin Hamin, Chris Baumann, Rosalie L. Tung

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAsia Pacific Journal of Marketing and Logistics · 2013
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Behavior in Brand Consumption and Identification
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsEmerging marketsConsumer ethnocentrismOriginalityBusinessEthnocentrismChinaMarketingProduct (mathematics)Developing countryCountry of originAdvertisingEconomics

Abstract

fetched live from OpenAlex

Purpose – The purpose of this paper is to examine the role of ethnocentrism in attenuating the negative country of origin effect and latecomer brands. The literature has established the importance of the “country of origin” effect, and this study compares consumers in the Asian emerging markets to developed consumers' response to cars from China, India and Russia. Design/methodology/approach – Data on consumers' willingness to purchase cars from emerging markets such as China, India and Russia were collected from 3,201 respondents in those three emerging markets and in the three most important Western car markets, the USA, the UK and Germany. The study employed a choice-based conjoint analysis. Findings – The results of this study confirmed the hypothesised ethnocentrism in the emerging markets with a strong preference for their own latecomer brands (Great Wall, Tata and AvtoVAZ, respectively). Developed markets in contrast are more sceptical of the Chinese, Indian and Russian car brands, but there is nonetheless substantial potential, especially with consumers who have previously bought latecomer brands from Asia. Utility values per brand, price, brand-partnership, product features, warranties and also place of manufacturing/assembly have been calculated in the study. Originality/value – This paper should prove valuable to academic researchers in establishing strong consumer preferences in emerging markets for their own products, and in establishing the potential of latecomer brands in developed markets.

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.

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)0.001
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 score0.124
Threshold uncertainty score0.386

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.019
GPT teacher head0.241
Teacher spread0.221 · 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