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Record W1487216568 · doi:10.1108/sbm-11-2013-0043

Long gone the glory days

2014· article· en· W1487216568 on OpenAlexaff
André Richelieu, Stéphanie Lessard

Bibliographic record

VenueSport Business and Management An International Journal · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicSports, Gender, and Society
Canadian institutionsUniversité LavalUniversité du Québec à Montréal
Fundersnot available
KeywordsFootballLeagueOriginalityCompetition (biology)Brand managementMarketingLeverage (statistics)Order (exchange)LoyaltyValue (mathematics)Public relationsGloryBusinessAdvertisingPolitical sciencePsychologyComputer scienceSocial psychology

Abstract

fetched live from OpenAlex

Purpose – The purpose of this paper is to identify the catalyzing factors team managers of previously successful European football clubs could capitalize on in order to build or rebuild the brand identity of their respective team via the Europa League. Design/methodology/approach – The authors followed a case analysis method. The authors selected teams that have had a history of good performance in European competitions in the 1960s, 1970s, 1980s and early 1990s, before falling off the radar. A total of 19 teams, representing 15 countries, accepted the invitation. Findings – The managers underlined eight major catalyzing factors. The managers specifically emphasize the importance of branding and how it can crystallize the promise these teams articulate to their fans, on and off the football pitch. Moreover, the values that a team encapsulates and communicates through its daily actions seem to represent the essence of the brand. Research limitations/implications – One risk relates to the respondents who could very well know what a brand is and how a brand should be managed in theory, but it does not necessarily mean that they know how to do it at all. Practical implications – The paper highlighted the importance of shrewd management, especially when resources are scarce. A competition such as the Europa League might provide some room to maneuver but, above all, the organization must deliver the brand promise to its fans. Originality/value – This is one of the first studies looking at the leverage a European football competition could provide to previously successful clubs.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.661
Threshold uncertainty score0.526

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.021
GPT teacher head0.292
Teacher spread0.271 · 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.

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

Citations9
Published2014
Admission routes1
Has abstractyes

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