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Record W2168857187 · doi:10.1080/08961530802129243

Consumer Communications, Media Use, and Purchases via the Internet: A Comparative, Exploratory Study

2008· article· en· W2168857187 on OpenAlexaboutno aff
Hyokjin Kwak, George M. Zinkhan, Yue Pan, Trina Larsen Andras

Bibliographic record

VenueJournal of International Consumer Marketing · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Marketing and Social Media
Canadian institutionsnot available
Fundersnot available
KeywordsThe InternetAdvertisingBusinessMarketingDatabase transactionProduct (mathematics)Affect (linguistics)ChinaExploratory researchInternet privacyPsychologyWorld Wide WebComputer scienceGeographySociology

Abstract

fetched live from OpenAlex

The Internet provides a fast, efficient and cost-effective alternative for communication, transaction, and distribution. In this study, consumers’ Web-based chatting behavior across three countries (i.e., the U.S., Canada, China) is explored, using an Internet survey of Web-based chatters. Results indicate that chatters’ Internet use does not affect their use of traditional mass media in any significant manner. No difference is found in the frequency of information seeking and chatters’ attitude towards online advertising across the three countries. Internet purchase patterns are contrasted in the three countries, and results suggest that consumers in the U.S. have the highest purchase incidence among the three countries under study. Canadian consumers make significantly fewer purchases than their counterparts in each product category.

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)0.002
metaresearch head score (Gemma)0.004
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 score0.075
Threshold uncertainty score0.150

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.115
GPT teacher head0.343
Teacher spread0.228 · 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

Citations8
Published2008
Admission routes1
Has abstractyes

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