Corporate sponsorship as an image platform: understanding the roles of relationship fit and sponsor–sponsee similarity
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Studies have shown that the fit between a sponsoring brand and the sport, art, or charity sponsored influences outcomes such as brand awareness and image. This research adds the role of sponsor–sponsee similarity to the discussion of fit. The authors argue that similarity interacts with fit when conditions evoke suspicion or disrupt typical inferences regarding sponsorship relationships. Interaction is particularly important when the sponsor seeks to develop its image by association with a cause, and is also of consequence for the cause in terms of its branding. Three studies test sponsorship effects with respect to blood donation and cancer prevention organizations. Results support the predicted moderated mediation model, showing that similarity between a corporate sponsor and a sponsored cause can interact with fit, influencing sponsorship evaluations directly and shaping attitudes and behavioral intentions toward constituents indirectly. This work reveals a counterintuitive effect of similarity for some sponsorship relationships.
KeywordsSponsorship fit Similarity Positioning Image
The authors acknowledge grant funding from the Australian Research Council (LP0882549) and funding support from the Australian Red Cross Blood Service as industry partner. The authors thank Ann Wallin for research assistance, Tom Magor, Teegan Green and Daniela Bruce for assistance with the data collection and the three anonymous reviewers for their helpful suggestions.
- Aiken, L. S., & West, S. G. (1991). Multiple regression: Testing and interpreting interactions. Newbury Park: Sage Publications.Google Scholar
- Breast Cancer Action (2013). Think Before You Pink Retrieved on November 30, 2013, from http://org2.democracyinaction.org/o/6098/p/dia/action/public/?action_KEY=2758
- Hancock, G. R., & Mueller, R. O. (2001). Rethinking construct reliability within latent variable systems. In R. Cudeck, S. du Toit, & D. Sorbom (Eds.), Structural equations modeling: Present and future - a festschrift in honor of Karl Joreskog (pp. 195–216). Lincolnwood: Sawtooth Software International.Google Scholar
- Hayduk, L. A. (1987). Structural equation modeling with LISREL: Essentials and advances. Baltimore: Johns Hopkins University Press.Google Scholar
- Loken, B., Ross, I., & Hinkle, R. L. (1986). Consumer “confusion” of origin and brand similarity perceptions. Journal of Public Policy and Marketing, 5, 195–211.Google Scholar
- Muller, D., Judd, C. M., & Yzerbyt, V. Y. (2005). When moderation is mediated and mediation is moderated. Journal of Personality and Social Psychology, 89(6), 852–863.Google Scholar
- Muthén, L. K., & Muthén, B. O. (2012). Mplus statistical analysis with latent variables user’s guide (7th ed.). Los Angeles: Muthén & Muthén.Google Scholar
- Preacher, K. J., Rucker, D. D., & Hayes, A. F. (2007). Addressing moderated mediation hypotheses: Theory, methods, and prescriptions. Multivariate behavioral research, 42(1), 185–227.Google Scholar
- Szykman, L. R., Bloom, P. N., & Blazing, J. (2004). Does corporate sponsorship of a socially-oriented message make a difference? An investigation of the effect of sponsorship identity on responses to an anti-drinking and driving message. Journal of Consumer Psychology, 14(1&2), 13–20.CrossRefGoogle Scholar
- The Lancet (2012). Chariot of fries. July 21, (380), 188.Google Scholar
- Webb, D. J., & Mohr, L. A. (1998). A typology of consumer responses to cause related marketing: from skeptics to socially concerned. Journal of Public Policy and Marketing, 17(2), 226–238.Google Scholar