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Record W3009566530 · doi:10.32731/smq.291.032020.02

Brand Environments and the Emergence and Change of Awareness for New Sports Teams: A Two-Wave Examination

2020· article· en· W3009566530 on OpenAlex
James Du, Christopher M. McLeod, Jeffrey James

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 · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicSports, Gender, and Society
Canadian institutionsNortel (Canada)
Fundersnot available
KeywordsAdvertisingSports marketingMarketingPsychologyBusinessPublic relationsPolitical scienceMarketing management

Abstract

fetched live from OpenAlex

In this paper, we examined how brand environments and pre-existing attachments create brand awareness of a new sport team. Using a two-wave panel design, this study used a new sport team in the US as a natural experiment to examine the changes in awareness before and after the team's debut. We collected data from a sample of 190 representative city residents. Our results showed that brand awareness increased by 39.2% after the team played the inaugural game. We attributed the driving forces behind this change to a preseason branding campaign and individuals’ existing connections with sport-based objects. Consistent with our hypotheses, the findings also revealed that (a) individuals who were repeatedly exposed to brand information had a higher rate of change in brand awareness and (b) brand environments and brand awareness represented two mediation pathways through which pre-existing attachments exerted positive influences on consumption behaviors.

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)0.003
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.528
Threshold uncertainty score0.400

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.036
GPT teacher head0.277
Teacher spread0.241 · 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