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Brand Analysis in Social Network Services: Results from Content Analysis in Twitter Regarding the US Smartphone Market

Author

Listed:
  • Arash Hajikhani

    (School of Business and Management, Lappeenranta University of Technology, Skinnarilankatu 34, FI-53851 Lappeenranta, Finland)

  • Jari Porras

    (School of Business and Management, Lappeenranta University of Technology, Skinnarilankatu 34, FI-53851 Lappeenranta, Finland)

  • Helinä Melkas

    (School of Business and Management, Lappeenranta University of Technology, Skinnarilankatu 34, FI-53851 Lappeenranta, Finland)

Abstract

Marketing is the front-end strategy of firms to communicate the value of their products or services to customers; therefore, innovations in marketing have tremendous value in comparison to the whole innovation strategy of firms. The emergence of social network services (SNSs) as a dominant communication platform among firms and users provides an opportunity to evaluate the innovativeness of a firm’s marketing strategy. With an analysis of Twitter data, the study indicates how users react to content from different profile types. This result could inspire firms and the social media strategists of companies to diversify their content over multiple user profiles.

Suggested Citation

  • Arash Hajikhani & Jari Porras & Helinä Melkas, 2017. "Brand Analysis in Social Network Services: Results from Content Analysis in Twitter Regarding the US Smartphone Market," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 14(02), pages 1-21, April.
  • Handle: RePEc:wsi:ijitmx:v:14:y:2017:i:02:n:s0219877017400089
    DOI: 10.1142/S0219877017400089
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    References listed on IDEAS

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    1. Sanjiv R. Das & Mike Y. Chen, 2007. "Yahoo! for Amazon: Sentiment Extraction from Small Talk on the Web," Management Science, INFORMS, vol. 53(9), pages 1375-1388, September.
    2. Kaplan, Andreas M. & Haenlein, Michael, 2010. "Users of the world, unite! The challenges and opportunities of Social Media," Business Horizons, Elsevier, vol. 53(1), pages 59-68, January.
    3. Robert Phaal & Clare Farrukh & David Probert, 2006. "Technology Management Tools: Generalization, Integration And Configuration," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 3(03), pages 321-339.
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