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Record W2743527029 · doi:10.1108/sbm-10-2016-0067

The peculiar economics of sports team ownership

2017· article· en· W2743527029 on OpenAlexaffabout
Daniel Mason, Stacy-Lynn Sant, Brian P. Soebbing

Bibliographic record

VenueSport Business and Management An International Journal · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsOriginalityProfitability indexMarketingPublic relationsValue (mathematics)PhenomenonBusinessDowntownSociologyPolitical scienceQualitative researchFinance

Abstract

fetched live from OpenAlex

Purpose The purpose of this paper is to examine how North American professional team owners are engaging in broader urban development projects that have their teams as anchor tenants in new sports facilities, by examining the case of Rogers Arena in Edmonton, Canada. Design/methodology/approach Approached from a constructionist perspective, the study employed an instrumental case study strategy as it facilitates understanding and description of a particular phenomenon and allows researchers to use the case as a comparative point across other settings (with similar conditions) in which the phenomenon might be present. Findings Using urban regime theory as a framework, the authors found that in Edmonton, the team owner was able to align his interests with other political and business interests by engaging in a development strategy that increased the vibrancy of Edmonton’s downtown core. As a result, the owner was able to garner support for both the arena and the surrounding development. Research limitations/implications The authors argue that this new model of team owner as developer has several implications: on-field performance may only be important insofar as it drives demand for the development; the owner’s focus is on driving revenues and profits from interests outside of the sports facility itself; and the team (and the threat of relocation) is leveraged to gain master developer status for the ownership group. Originality/value This paper adds to the understanding of owner interests and how franchise profitability and solvency can be tied to other related business interests controlled by team owners.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.688
Threshold uncertainty score0.829

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 communication0.0010.001
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 head0.030
GPT teacher head0.317
Teacher spread0.286 · 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 designTheoretical or conceptual
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

Citations13
Published2017
Admission routes2
Has abstractyes

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