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  • 1.
    Aramo-Immonen, Heli
    et al.
    Tampere University of Technology, Pori, Finland.
    Kärkkäinen, Hannu
    Tampere University of Technology, Tampere, Finland.
    Jussila, Jari J.
    Tampere University of Technology, Tampere, Finland.
    Joel-Edgar, Sian
    Computer Science, Bath University, Bath, UK.
    Huhtamäki, Jukka
    Tampere University of Technology, Tampere, Finland.
    Visualizing informal learning behavior from conference participants' Twitter data with the Ostinato Model2016In: Computers in human behavior, ISSN 0747-5632, E-ISSN 1873-7692, Vol. 55, p. 584-595Article in journal (Refereed)
    Abstract [en]

    Network analysis is a valuable method for investigating and mapping the phenomena driving the social structure and sharing the findings with others. This article contributes to an emerging field of 'smart data' research on Twitter by presenting a case study of how community managers in Finland used this social media platform to construct an informal learning environment around an annually organized conference. In this empirical study we explore informal learning behavior in the project context, especially by analyzing and visualizing informal learning behavior from Twitter data using the Ostinato Model introduced in this paper. Ostinato is an iterative, user-centric, process-automated model for data-driven visual network analytics.

  • 2.
    Jussila, Jari J.
    et al.
    Department of Information Management and Logistics, Tampere University of Technology, Tampere, Finland.
    Kärkkäinen, Hannu
    Department of Information Management and Logistics, Tampere University of Technology, Tampere, Finland.
    Aramo-Immonen, Heli
    Department of Industrial Management, Tampere University of Technology, Pori, Finland.
    Social media utilization in business-to-business relationships of technology industry firms2014In: Computers in human behavior, ISSN 0747-5632, E-ISSN 1873-7692, Vol. 30, p. 606-613Article in journal (Refereed)
    Abstract [en]

    Even today, it is a fairly common argument in business-to-business companies, especially in traditional industrial companies, that social media is only useful in the business-to-consumer sector. The perceived challenges, opportunities and social media use cases in business-to-business sector have received little attention in the literature. Therefore, this paper focuses on bridging this gap with a survey of social media use cases, opportunities and challenges in industrial business-to-business companies. The study also examines the essential differences between business-to-consumer and business-to-business in these respects. The paper starts by defining social media and Web 2.0, and then characterizes social media in business, and social media in business-to-business. Finally, we present and analyze the results of our empirical survey of 125 business-to-business companies in the Finnish technology industry sector. This paper suggests that there is a significant gap between the perceived potential of social media and social media use with customers and partners in business-to-business companies, and identifies potentially effective ways to reduce the gap.

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CiteExportLink to result list
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Citation style
  • apa
  • harvard1
  • 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
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