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Record W2208788296

Individual Position`s Influence on Consumption in Korea versus Canada

2015· article· en· W2208788296 on OpenAlexaboutno aff
Kim, Chang Soo

Bibliographic record

Venue국제경영리뷰 · 2015
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Perception and Purchasing Behavior
Canadian institutionsnot available
Fundersnot available
KeywordsJealousyPosition (finance)PurchasingProduct (mathematics)RegretConsumption (sociology)HierarchyAdvertisingMarketingBusinessSocial psychologyEconomicsPsychologySociologyMarket economyMathematics
DOInot available

Abstract

fetched live from OpenAlex

Individual position (superior versus inferior) can lead people to purchase different products, such as premier versus average products. When Eastern consumers consider a product possessed by a subordinate, in particular, they tend to report more negative responses when the subordinate possesses a product that is better or more expensive than their own product, compared to their Western counterparts. In other words, given that Easterners tend to maintain their superior position in a vertical hierarchy via Confucianism, they usually display higher levels of discomfort, regret, and jealousy than Westerners. These tendencies negatively influence Eastern people who occupy an inferior position. Eastern subordinates are less likely to purchase luxury products because they anticipate negative repercussions from purchasing such products, whereas their Western counterparts do not show the same purchasing habits. This study suggests implications for the academy and marketing managers.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.100
Threshold uncertainty score0.202

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.078
GPT teacher head0.281
Teacher spread0.203 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2015
Admission routes1
Has abstractyes

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