IDEAS home Printed from https://ideas.repec.org/h/spr/prbchp/978-3-031-41371-1_14.html
   My bibliography  Save this book chapter

Social Networks and User Interaction as a Determinant of Business Viability, Modeling, and Optimization

In: Computational and Strategic Business Modelling

Author

Listed:
  • Dimitrios M. Mastrakoulis

    (University of Thessaly)

  • Dimitrios K. Nasiopoulos

    (BICTEVAC LABORATORY Business Information and Communication Technologies in Value Chains laboratory, School of Applied Economics and Social Sciences, Agricultural University of Athens)

  • Dimitrios A. Arvanitidis

    (University of Peloponnese)

  • Elli C. H. Zara

    (University of Peloponnese)

  • Panagiotis Trivellas

    (Organizational Innovation and Management Systems, School of Applied Economics and Social Sciences, Agricultural University of Athens)

  • Catherine Marinagi

    (Agricultural University of Athens)

Abstract

Nowadays, the increased access of users to social media and smartphones, as well as the interconnection of users through social networks, has significantly increased the circulation of ideas, news, and information. The slightest movement on the Internet (posting photos, searching the Internet, and posting comments) produces the so-called digital tracks from which companies can draw important information about users’ consumer behaviors. Businesses use social media to build their image, develop public relations, and positively influence the discussions around their brands, helping to increase their recognition and competitive advantage. The competitive advantage of companies depends on their ability to innovate by utilizing the capabilities of new technological means.

Suggested Citation

  • Dimitrios M. Mastrakoulis & Dimitrios K. Nasiopoulos & Dimitrios A. Arvanitidis & Elli C. H. Zara & Panagiotis Trivellas & Catherine Marinagi, 2024. "Social Networks and User Interaction as a Determinant of Business Viability, Modeling, and Optimization," Springer Proceedings in Business and Economics, in: Damianos P. Sakas & Dimitrios K. Nasiopoulos & Yulia Taratuhina (ed.), Computational and Strategic Business Modelling, pages 145-160, Springer.
  • Handle: RePEc:spr:prbchp:978-3-031-41371-1_14
    DOI: 10.1007/978-3-031-41371-1_14
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:prbchp:978-3-031-41371-1_14. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.