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Record W72146101

'Sponsorship in the trenches': case study evidence of its legitimate place in the promotional mix.

2007· article· en· W72146101 on OpenAlexaboutno aff
Benoît Séguin

Bibliographic record

VenueThe Sport Journal · 2007
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Behavior in Brand Consumption and Identification
Canadian institutionsnot available
Fundersnot available
KeywordsMarketingMarketing mixAgency (philosophy)Public relationsBusinessAdvertisingPosition (finance)Political scienceSociology
DOInot available

Abstract

fetched live from OpenAlex

Abstract An important theme in sponsorship literature involves its definition and its place in marketing theory. With regards to the latter, differing opinion exists as to whether sponsorship is a subset of advertising or whether it is a distinct member of the promotional mix. This research adopts a case study approach to argue that sponsorship should be viewed--both in marketing theory and in business practice--as a distinct and legitimate member of the promotional mix. The subject of the case is KMAC, a sports marketing agency specializing in sponsorship. Results support sponsorship's inclusion in the promotional mix and outline future research. Introduction Sponsorship is a promotional practice that has evolved from its roots as a tool for corporate donations (Wilkinson, 1993) to a highly-developed course of action by which both the sponsor (investor) and the sponsee (property) benefit in a marketing relationship (Polonsky & Speed, 2001). Its rapid adoption into practice by organizations is reflected by the huge growth of worldwide sponsorship investments, which went from US $500,000 in 1984 to what was expected to reach US $28 billion in 2004 (IEG, 2003). This impressive growth in practice, however, has not been matched by theory development. Although a difficult concept to define, the majority of the definitions in related literature are relatively similar (Olkkonen, 2001) but sponsorship's role in relation to other resource and promotional generating strategies (i.e. philanthropy, advertising, cause-related marketing) remains unclear (e.g. Polansky & Speed, 2001). In particular, sponsorship's position in marketing's traditional promotional mix ranges from no inclusion at all (e.g. the vast majority of marketing and marketing communications texts) to recognition that it is an integral part of the communications mix--alongside publicity, public relations, sales promotions, personal selling, and advertising (Crimmins & Horn, 1996; Meenaghan, 2001; Tripodi, 2001; Crompton, 2004). This is supported by a number of studies suggesting that sponsorship plays an important role in supporting an organization's attainment of its communications objectives (e.g. awareness, reach target markets). The purpose of this research is to provide evidence to previous academic work (e.g. Meenaghan, 1991; Tripodi, 2001) arguing for sponsorship's inclusion as a legitimate member of the promotional mix by presenting the case of a successful Canadian sport marketing firm. Sponsorship and the Promotional Mix Sponsorship growth is credited, in part, to the increased amount of clutter found in traditional media towards the end of 1970's (Otker, 1988; Meenaghan, 1991; Sandler & Shani, 1993; Wilkinson, 1993). The increase in the number of television and radio networks available created added clutter in the marketplace and the competition between advertisers to attract consumers' attention was fierce. As a result, the effectiveness of the ability of advertising to reach consumers was questioned (Howard & Crompton, 1993). For many, sponsorship became an effective and less costly alternative to break through the clutter in order to reach specific targets (Mullin, Hardy & Sutton, 2000). In this regard, a number of studies supporting sponsorship's distinction from advertising have emerged in the literature emphasizing that it (i) functions differently, (ii) is perceived by audiences differently, and (iii) includes the 'association' element that advertising does not (see Javalgi, Traylor, Gross, & Lampman, 1994; Hoek, Gendall, Jeffcoat & Orsman, 1997; Bloxom, 1998). Nevertheless, as companies' investments in sport sponsorship increased, so did the need to justify its Return-On-Investment (ROI). Thus, the establishment of clear and measurable objectives was identified as important to sponsorship programmes. Irwin and Asimakopoulos (1992) suggest that corporations attempt to achieve objectives that are corporate in nature or specific product/brand related. …

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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)0.015
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 score0.027
Threshold uncertainty score0.531

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.118
GPT teacher head0.340
Teacher spread0.222 · 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

Citations10
Published2007
Admission routes1
Has abstractyes

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