DocumentCode :
2649409
Title :
A Research on the Key Criteria for Selecting Olympic Sponsors Based on Text Mining
Author :
Lu-cheng, Huang ; Ting-ting, ZHOU
Author_Institution :
Beijing Univ. of Technol., Beijing
fYear :
2007
fDate :
20-22 Aug. 2007
Firstpage :
85
Lastpage :
90
Abstract :
In today´s ultra-competitive and complicated business environment, sponsorship is a significant marketing communications strategy for building brands. An increasing number of companies seek to enter the Olympic marketing platform through sponsorship. However, little is known about the evaluation and measurement criteria for selecting Olympic sponsors. In this study, we found 1091 relevant documents through Internet. Based on text mining, we finally extracted and summarized five key criteria. And then we used a case (Coca-Cola Company) to verify the results we got by using text mining and to help us better understand the criteria applied in the process of selecting Olympic sponsors. The findings indicated that companies should develop some marketing-related competencies and formulate correct marketing strategy so as to enter the Olympic markets effectively and achieve favorable publicity for their brands.
Keywords :
Internet; data mining; marketing; Coca-Cola Company; Internet; Olympic marketing; Olympic sponsors; business environment; marketing communications; marketing-related competencies; sponsorship; text mining; Conference management; Data analysis; Data mining; Engineering management; Environmental management; Internet; Marketing management; Meeting planning; Technology management; Text mining; Coca-Cola company; Olympic games; sponsor; text mining;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Management Science and Engineering, 2007. ICMSE 2007. International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-7-88358-080-5
Electronic_ISBN :
978-7-88358-080-5
Type :
conf
DOI :
10.1109/ICMSE.2007.4421829
Filename :
4421829
Link To Document :
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