IDEAS home Printed from https://ideas.repec.org/h/spr/prbchp/978-3-030-57065-1_40.html
   My bibliography  Save this book chapter

Moving Towards Museum Digital Strategy: A Transformational Framework

In: Business Intelligence and Modelling

Author

Listed:
  • Vassiliki Kamariotou

    (School of History and Archaeology, Aristotle University of Thessaloniki)

  • Maria Kamariotou

    (University of Macedonia)

  • Eleni Champipi

    (National and Kapodistrian University of Athens)

  • Fotis Kitsios

    (University of Macedonia)

Abstract

In the last few decades museums attempt to be more visitor-oriented by adopting new technologies that increase the visitor’s interaction on site and enhance visitor’s experience at museum. Emerging technologies offer many opportunities to museums, not only providing access to information but also to the development of virtual museums that can compete in the contemporary marketplace. Despite the realization that new technologies can offer a sound basis upon which museums transform the traditional visitors’ experience and increase visitors’ interaction, there are limited researches in this area. Unfortunately, museum digital strategy is not a priority for museum strategists and they are not aware of beginning on their path toward becoming truly optimized for the evolving digital landscape. Thus, the purpose of this paper is to propose a transformational framework in order to help the museum managers in terms of understanding and to draw more insights from the suggested principal drivers of museum digital strategies. The practical contribution of this paper is that it provides guidelines to cultural professionals regarding the strategies that can implement to digitalize the overall experience and make visits more enjoyable.

Suggested Citation

  • Vassiliki Kamariotou & Maria Kamariotou & Eleni Champipi & Fotis Kitsios, 2021. "Moving Towards Museum Digital Strategy: A Transformational Framework," Springer Proceedings in Business and Economics, in: Damianos P. Sakas & Dimitrios K. Nasiopoulos & Yulia Taratuhina (ed.), Business Intelligence and Modelling, pages 397-402, Springer.
    • Handle: RePEc:spr:prbchp:978-3-030-57065-1_40
    DOI: 10.1007/978-3-030-57065-1_40
    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:978-3-030-57065-1_40. 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.