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Record W4311938466 · doi:10.32920/21691763.v1

Consumer behaviour of Chinese pre-teen and teenage youth

2022· preprint· en· W4311938466 on OpenAlexaff
Osmud Rahman, Xiaopeng Chen, Raymond Au

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Retail Behavior Studies
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsClothingPsychologyConsumption (sociology)ChinaOrder (exchange)Consumer behaviourAdvertisingFocus groupExperiential learningDevelopmental psychologySocial psychologyMarketingBusinessSociologyPolitical sciencePedagogy

Abstract

fetched live from OpenAlex

<p> </p> <p>The purpose of this study is to investigate how age, gender, information sources and parent-child communication may influence Chinese pre-teen (9–12 years old) and teenage (13–18 years old) shopping behaviour. A quantitative research method and a self-administered questionnaire was employed to measure the significance of clothing evaluative cues, parent-child communication and shopping behaviour of pre-teens and teens in the People’s Republic of China. In total, 273 usable data were collected for this study. It is evident that peer influence was considered by respondents as an important information source, followed by store displays. Parent–child communication also played an important role on clothing consumption. In order to meet the needs and aspirations of these young consumers, fashion designers should pay attention to material selection and usage. In addition, fashion retailers should focus on the visual and experiential aspects of the store environment in order to build a stronger connection and resonance with these young consumer groups.</p>

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.007
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.028
GPT teacher head0.268
Teacher spread0.240 · 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.

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

Citations2
Published2022
Admission routes1
Has abstractyes

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