Repository logo
  • English
  • Català
  • Čeština
  • Deutsch
  • Español
  • Français
  • Gàidhlig
  • Italiano
  • Latviešu
  • Magyar
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Srpski (lat)
  • Suomi
  • Svenska
  • Türkçe
  • Tiếng Việt
  • Қазақ
  • বাংলা
  • हिंदी
  • Ελληνικά
  • Српски
  • Yкраї́нська
  • Log In
    New user? Click here to register. Have you forgotten your password?
Repository logo
  • Communities & Collections
  • All of IIESpace
  • English
  • Català
  • Čeština
  • Deutsch
  • Español
  • Français
  • Gàidhlig
  • Italiano
  • Latviešu
  • Magyar
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Srpski (lat)
  • Suomi
  • Svenska
  • Türkçe
  • Tiếng Việt
  • Қазақ
  • বাংলা
  • हिंदी
  • Ελληνικά
  • Српски
  • Yкраї́нська
  • Log In
    New user? Click here to register. Have you forgotten your password?
  1. Home
  2. Browse by Author

Browsing by Author "Wickens, Nicole"

Now showing 1 - 1 of 1
Results Per Page
Sort Options
  • No Thumbnail Available
    Item
    Social Media as a Search Engine: the Use of TikTok by Gen Z to Search for Brand Information
    (The IIE, 2023) Wickens, Nicole
    Abstract Video-based apps like TikTok are gaining traction among Gen Z, surpassing Google in relevance due to their preference for quick, consumable information. This study proposes to evaluate the functionality of social media platforms as search engines for Gen Z, considering their unique behaviours and preferences. Functionality is crucial in determining the effectiveness of social media platforms like TikTok in serving as search engines for this generation. Gen Z often relies on user-generated media (UGM) and Uses and Gratification (U&G) theory, which emphasises the gratification derived from media interaction, to access and consume brand information. TikTok's advantages over traditional search engines, such as authenticity, creativity, personalisation, community, and entertainment, make it an appealing platform for Gen Z's brand information needs.

DSpace software copyright © 2002-2026 LYRASIS

  • Cookie settings
  • Privacy policy
  • End User Agreement
  • Send Feedback
  • ADvTECH Group | PAIA
  • ADvTECH Group | Privacy Notice