2014
DOI: 10.2501/jar-54-4-435-447
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Predicting Return on Investment In Sport Sponsorship

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Cited by 69 publications
(48 citation statements)
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“…Still regarding contributions, this study also (i) demonstrated the existence of a great number of regional companies as technical sponsors, broadening the research conducted by Rocco Júnior, Giglio and Mazzei (2014), and (ii) supported the relation between higher brand exposure and better results in competition in terms of media exposure (Jensen, & Cobbs, 2014). However, concerning the latter, we could observe that better results in the competition do not necessarily overcome structural factors that involve other clubs, such as the four major, which consist in the ones with greater media exposure.…”
Section: Closing Remarksmentioning
confidence: 79%
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“…Still regarding contributions, this study also (i) demonstrated the existence of a great number of regional companies as technical sponsors, broadening the research conducted by Rocco Júnior, Giglio and Mazzei (2014), and (ii) supported the relation between higher brand exposure and better results in competition in terms of media exposure (Jensen, & Cobbs, 2014). However, concerning the latter, we could observe that better results in the competition do not necessarily overcome structural factors that involve other clubs, such as the four major, which consist in the ones with greater media exposure.…”
Section: Closing Remarksmentioning
confidence: 79%
“…The authors support that it was possible to verify the sponsorships with the same results, but with lower costs, and that sponsorship duration has a positive effect in efficiency. Jensen and Cobbs (2014), through the construction of regression models, validated the relations between successful F1 teams and higher brand exposure, and between F1 teams with medium success and a bigger probability of positive ROI (Return-OnInvestiment) of sponsorship. Chen and Reams (2013), on the other hand, used the Structural Equation Modeling (SEM) to create a model to analyze team attachment of an American college soccer based on the variables 'sponsor image', 'purchase intentions' and 'word of mouth'.…”
Section: Cuoghimentioning
confidence: 99%
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“…determining the media value generated due to the sponsorship. The values obtained in this way could constitute a target in themselves, or may serve as a means to achieve other research purposes (see : Jensen & Cobbs, 2014;Breurer & Rumpf, 2011). If after announcing a cooperative venture between the enterprise and the sports entity a change in the value of shares of this enterprise is noted, this may also be an indicator of the effects of the company's involvement in the sports sponsorship (see: Kudo et al, 2015).…”
Section: Introductionmentioning
confidence: 99%