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Enregistrement W300491129

Marketing Research at the Vancouver 2010 Winter Olympic Games

2010· article· en· W300491129 sur OpenAlexaboutno aff
Norm O’Reilly, Benoît Séguin

Notice bibliographique

RevueProceedings: International Symposium for Olympic Research · 2010
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueSport and Mega-Event Impacts
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésCommonwealthEvent (particle physics)GeographyAmbush marketingAdvertisingPolitical scienceMedia studiesHistorySociologyBusinessLaw
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Introduction As researchers, opportunities to collect qualitative and quantitative data at major events that have vast reach and global following (i.e., 'mega-events') are rare, challenging and resource intensive in nature. This, coupled with the facts that (1) the existing number of true sport mega-events (e.g., Olympic Games, FIFA World Cup, Wimbledon, the Masters, Grey Cup, Commonwealth Games, Super Bowl) is low in relation to the cities seeking to host such events and (2) the resources for research tend to be more readily available around the hosting of a mega-events, renders the occurrence of a mega-event in your home country or region highly important for researchers. Depending on the nature of one's research and the specific mega-event in question, the famous phrase of 'a once in a lifetime opportunity' may fit this situation. Although the first modern Olympic Games were held in 1896, Canada did not host until the Montreal Olympic Summer Games in 1976. Since Montreal, Canada has hosted the Olympic Winter Games twice, in Calgary in 1988 and Vancouver in 2010. Prospects of a second hosting of the Summer Games remain far off as best, following two failed bids by the city of Toronto for the 1996 and 2008 Summer Games. And although speculation currently exists about a Quebec City bid for an upcoming Winter Games for 2022 or perhaps 2026, a competitive bid process would have to be overcome. Some simple math on Canada demonstrates the challenges facing an Olympic researcher. If one considers that a typical researcher career post-doctorate is 30 years in length, then any Canadian researcher who completed his or her doctorate before 1946 or after 1977 would not have had the opportunity to do research on an Olympic Summer Games hosted in Canada. If the researcher's interests were 'niched' towards winter sport, then a researcher who completed his or her doctorate prior to 1958 would not have had the opportunity, although those whose doctorates were completed between 1990 and 2018 would have had access to the Winter Olympic Games twice. Thus, as with any rare opportunity, planning and understanding the nature of such an event is required if one is to maximize the benefits of such opportunity. In the context of hosting an Olympic Games, interest from the public, governments and corporations are high. When considering the amount of public dollars invested in such an event, sport (event) management research becomes essential for a number of reasons including evaluation, policy, legacy and learning. The uniqueness and the scope of an event like Olympic Games also provide access to funding sources that may not otherwise be available for researchers. In this case, timing becomes essential as the Games only last 16 days. This limited timeline requires researchers to properly time pre-, post- and during Games data collections. With this reality as the context, this paper reports on the sport marketing research projects undertaken by the authors during the 2010 Winter Olympic and Paralympic Games. Mega-Events Although there is little written in peer-reviewed sources on mega-events, (1) it is established that they play an important role in an emerging, media-based global culture. (2) Similarly, it is established that mega-events provide vast and influential reach to corporate sponsors and media partners which in turn generates considerable amount of resources. (3) Further, the Product-Country-Image (PCI) literature has demonstrated that major events can positively affect a country's image. (4) Thus, from a research perspective, it is clear that mega-events offer a context that could be described as 'unique' for research learning, methods and analysis. Research at Vancouver 2010 As three researchers, the authors were involved with a variety of research projects related to the Vancouver 2010 Winter Olympic Games organized under four themes (or streams) of research. First, is a line of research related to a large government-funded project (Social Sciences and Humanities Research Council of Canada) related to country images and the Olympic Games' ability to improve both global tourist intentions and sponsor images. …

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,024
score de la tête « metaresearch » (Gemma)0,006
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesÉtudes des sciences et des technologies, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,183
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0240,006
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0030,001
Communication savante0,0010,001
Science ouverte0,0020,001
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0030,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,084
Tête enseignante GPT0,425
Écart entre enseignants0,341 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2010
Routes d'admission1
Résumé présentoui

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