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Cited by 316

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Meeting Relationship-Marketing Goals Through Social Media: A Conceptual Model for Sport Marketers

Williams, Jo, Chinn, Susan J.·2010·International Journal of Sport Communication

Abstract

Sport industry marketers have long understood the importance of nurturing customer relationships. The new challenge is how best to face the shifts in customer relationship marketing posed by sports organizations and proactive consumers, or “prosumers.” In this article, the elements of the relationship-building process are presented with a focus on communication, interaction, and value, concepts identified in Gronroos’s (2004) relationship-marketing process model. An expanded version of Gronroos’s model is developed to include prosumers and to describe the interactions that occur through social-media exchanges. The value of specific social-media tools and Web 2.0 technologies in helping sport marketers meet their relationship-marketing goals is also discussed. Finally, directions for future research employing the expanded model are suggested.

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Metadata

Authors
Williams, J., & Chinn, S. J.
Venue
International Journal of Sport Communication
Published
2010-12
Volume
3
Issue
4
Pages
422-437
ISSN
  • 1936-3907 (ISSN-L)
  • 1936-3915
OpenAlex
W2146670408
Cited by
316
References
1
FWCI
31.30
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Meeting Relationship-Marketing Goals Through Social Media: A Conceptual Model for Sport Marketers. https://app.cochat.ai/papers/10.1123/ijsc.3.4.422
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Williams, J., & Chinn, S. J. (2010). Meeting Relationship-Marketing Goals Through Social Media: A Conceptual Model for Sport Marketers. International Journal of Sport Communication. https://doi.org/10.1123/ijsc.3.4.422

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.