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A study of viral marketing on Youtube: Evidence: Nike Dream Crazy and Nike Dream Crazier
Luleå University of Technology, Department of Business Administration, Technology and Social Sciences.
Luleå University of Technology, Department of Business Administration, Technology and Social Sciences.
2019 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

The aim with this study was to answer the question “What components in Nike’s viral ads on Youtube trigger emotions?”. The data was collected through a qualitative and descriptive research approach and the method was a combination of a poetic film analysis and Ducoffe’s Model of Advertising Value. The model includes three components that were to be analyzed: informativeness, entertainment and irritation. The video ads were analyzed together with the comments posted. The comments were seen as electronic word of mouth and they were analyzed in order to understand if the viewer felt positive or negative emotions towards the ads. The findings showed that Ducoffe’s Model of Advertising Value was applicable on social media networks such as Youtube. Informativeness and entertainment were the most important components triggering emotions. Since marketing events nowadays are digitalized, it is important to adapt previous models and research to new platforms.

Place, publisher, year, edition, pages
2019. , p. 53
Keywords [en]
viral marketing, Youtube, Nike, emotions, advertising, social media, electronic word of mouth
National Category
Social Sciences
Identifiers
URN: urn:nbn:se:ltu:diva-75458OAI: oai:DiVA.org:ltu-75458DiVA, id: diva2:1341579
Educational program
Bachelor Programme in International Business Administration
Supervisors
Examiners
Available from: 2019-08-12 Created: 2019-08-09 Last updated: 2019-08-12Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf