Message personalization and real-time adaptation as next innovations in sport sponsorship management? How run-of-play and team affiliation affect viewer response
Christoph Breuer,
Felix Boronczyk and
Christopher Rumpf
Journal of Business Research, 2021, vol. 133, issue C, 309-316
Abstract:
The digitization of sports content and technological innovations in sports media offer disruptive new ways to adapt sponsor messages to real-time events during live broadcasts. To date, sponsorship management mostly ignores the run-of-play and viewers’ team affiliation. This paper seeks to demonstrate how a dynamic management approach can contribute to greater sponsor message efficiency. For this purpose, real-time data were collected during live broadcasts of the 2018 soccer World Cup. Arousal was captured using changes in heart rate, attention to sponsor brands was measured via eye tracking, and in-play betting odds were continuously obtained from a sports betting website. Mixed models predict viewer arousal and sponsor brand attention from biometric and betting data. Evidence is provided for how run-of-play and viewer characteristics affect sponsor message communication outcomes. The applicability of the models for distinctive sponsor exposure tactics is demonstrated, and the theoretical and managerial implications are outlined.
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0148296321003246
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:jbrese:v:133:y:2021:i:c:p:309-316
DOI: 10.1016/j.jbusres.2021.05.003
Access Statistics for this article
Journal of Business Research is currently edited by A. G. Woodside
More articles in Journal of Business Research from Elsevier
Bibliographic data for series maintained by Catherine Liu ().