Title :
How to Build Successful Sponsorship Relationships: A Text Mining Approach
Author :
Huang Lu-cheng ; Zhou Ting-ting
Author_Institution :
Beijing Univ. of Technol., Beijing
Abstract :
In today´s ultra-competitive and complicated business environment, sponsorship is a significant marketing communications strategy for building brands. And an increasing number of sponsors and sport entities refer to one another as partners. Modern sponsors now recognize the strategic role of sponsorship and the great potential for creating value from a longer-term relationship. In this study, text mining was adopted to dig the marketing-related competencies required for the success of sponsor-sport entity relationship. Source texts were collected from 2147 documents, and the models ´text extraction´ and ´association analysis´ were conducted to understand the relationships. The findings indicated that there is an imbalance between sponsors´ motives for investment and sport entities´ expectations about sponsors´ performance. So collaborative capabilities should be developed to manage the relationships, meanwhile, these two partners should try to marry their two brands in the mind of their target markets. The results also emphasized sport entities´ proactive role in sponsorship relationships.
Keywords :
data mining; entity-relationship modelling; investment; marketing data processing; sport; text analysis; association analysis; investment; marketing communications strategy; sponsor-sport entity relationship; text extraction; text mining; Business communication; Collaboration; Data analysis; Environmental economics; Environmental management; Internet; Investments; Marketing management; Technology management; Text mining;
Conference_Titel :
Innovative Computing, Information and Control, 2007. ICICIC '07. Second International Conference on
Conference_Location :
Kumamoto
Print_ISBN :
0-7695-2882-1
DOI :
10.1109/ICICIC.2007.337