Purpose: The aim of this bachelor thesis is to investigate the relationship of online subcultures, electronic trust, electronic word-of-mouth, and purchase intention towards a special event within selected Facebook Pages. Background: Given the increasing impact of social media platforms in communications not only between consumers, but also consumers and companies, this study takes a deeper look at the influence that companies can exercise on consumer’s purchase intention for a special event through these platforms. The background is based on previous researches and existent theories related to products, which are tested for a special event. Method: In order to fulfill the purpose of this study a cross-sectional design is applied. A deductive approach is followed, and a quantitative method is used through the application of questionnaires in order to collect the empirical data necessary to answer the given research questions. The questionnaires were distributed to the selected sample, which is anyone who “likes” the following Facebook Pages: Sweden Rock Festival, Göteborg Horse Show, Hultsfred, and Swedish Speedway Grand Prix. Conclusion: Based on the background a modest to strong relationship was expected between the measured variables. This however has been disconfirmed by the results, thus showing a weaker relationship than has been previously tested with regards to a product. The main finding is that when it comes to special events, the organizer is seen as a more reliable source, thus it is more influential than fellow members of the Facebook Page.
Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:hj-15487 |
Date | January 2011 |
Creators | Bou Assaf, Nicole, Carvalho Cunha, Cassia, Kubista, Christian |
Publisher | Internationella Handelshögskolan, Högskolan i Jönköping, IHH, Företagsekonomi, Internationella Handelshögskolan, Högskolan i Jönköping, IHH, Företagsekonomi, Internationella Handelshögskolan, Högskolan i Jönköping, IHH, Företagsekonomi |
Source Sets | DiVA Archive at Upsalla University |
Language | English |
Detected Language | English |
Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
Format | application/pdf |
Rights | info:eu-repo/semantics/openAccess |
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