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Jonathan A. Jensen and T. Bettina Cornwell

sponsorship is also controlled for in the final model. Methods Though utilized most frequently in the field of biostatistics, survival analysis modeling has been utilized across other academic fields and is alternatively known as event history analysis (demography), duration analysis (econometrics), and

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Joe Cobbs, B. David Tyler, Jonathan A. Jensen and Kwong Chan

Accessing and exploiting organizational resources are essential capabilities for competitive sport organizations, particularly those engaged in motorsports, where teams lacking resources frequently dissolve. Corporate sponsorship represents a common method for resource acquisition, yet not all sponsorships equally benefit the sponsored organization. Sponsorship utility can be dependent on institutional dynamics such as league governance that produces competitive disparities. Through this study we extend the resource-based view to assert that sponsorships vary in their propensity to contribute to team survival, warranting prioritization in sponsorship strategy based on access to different sponsor resources. To empirically investigate the influence of a variety of sponsorships, survival analysis modeling was used to examine 40 years of corporate sponsorship of Formula One racing teams. One finding from the longitudinal analysis was that sponsorships offering financial or performance-based resources enhance team survival to a greater degree than operational sponsorships. However, such prioritization is subject to team experience, changes in institutional monetary allocation, and diminishing returns.

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Gashaw Abeza, David Finch, Norm O’Reilly, Eric MacIntosh and John Nadeau

model of sponsorship decision making Organizational-focused empirical study. Adopted a survival analysis modeling based on secondary sources data gathered related to the history of Olympics and FIFA sponsors ○ Economic conditions ○ Agency conflicts ○ Attractiveness of event locations ○ Sponsorship