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Record W2291563731 · doi:10.5539/ibr.v9n4p123

Sales Promotion Effectiveness: The Impact of Culture on Demographic Level

2016· article· en· W2291563731 on OpenAlexvenueno aff
Kim Huynh

Bibliographic record

VenueInternational Business Research · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Behavior in Brand Consumption and Identification
Canadian institutionsnot available
Fundersnot available
KeywordsMarketingVietnameseBusinessSales promotionPromotion (chess)Sales managementProfit (economics)Product (mathematics)AdvertisingEconomicsPolitics

Abstract

fetched live from OpenAlex

Sales promotion is an essential tool which leads to real increase in sales and profit. According to previous studies, sales promotions are effective at a cross cultural level when they provide benefits that go hand in hand with those of the promoted product. However, there is no literature state about the different sales promotion consumer benefits influences on its effectiveness at the demographic level (urban verses rural). To address this concern, this paper seeks to explore the congruence framework by analyzing how culture at a demographic group level impacts sales promotion. The objective is to investigate whether cultural differences at this level will have an impact at the effectiveness of sales promotion. This conceptual paper sheds light on the influence of culture in demographic group level in determining the response of consumers to sales promotions. The findings will contribute to the understanding of products and promotion types in the Vietnam retailers. It will also allow manufacturing companies to focus better on their strategies for marketing their products towards the Vietnamese consumer.

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)0.001
metaresearch head score (Gemma)0.007
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 score0.006
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.146
GPT teacher head0.401
Teacher spread0.256 · 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

Citations6
Published2016
Admission routes1
Has abstractyes

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