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Record W2988385183 · doi:10.32731/smq.274.122018.04

The Impact of Brand-Event Fit in Virtual Advertising on Sport Television Viewers' Brand Attitudes

2018· article· en· W2988385183 on OpenAlex

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

VenueSport Marketing Quarterly · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicDiverse Topics in Contemporary Research
Canadian institutionsImpact
Fundersnot available
KeywordsAdvertisingBusinessEvent (particle physics)Sports marketingTelevision advertisingMarketingPsychologyMarketing managementRelationship marketing

Abstract

fetched live from OpenAlex

When virtual advertising is inserted into a sport broadcast, viewers are simultaneously exposed to both a sport event and an advertised brand. The purpose of this study was to determine whether the perceived fit between a sport event and an advertised brand in virtual advertising affects viewers' attitudes toward the advertised brand. Sport viewer confusion and event suspense were also examined, as a mediator and moderator, respectively, for the relationship between perceived fit and brand attitude. Participants (N = 131) took part in an experiment in which perceived fit and event suspense were manipulated using animated virtual advertising and video clips of Korean professional baseball broadcasts. Results showed that perceived fit in virtual advertising positively influenced brand attitude and this effect was mediated by reduced levels of sport viewer confusion. However, no moderating effect of event suspense was detected. Considering these findings, implications for theory and practice are discussed

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)0.009
metaresearch head score (Gemma)0.000
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 score0.222
Threshold uncertainty score0.566

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.029
GPT teacher head0.380
Teacher spread0.350 · 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