IDEAS home Printed from https://ideas.repec.org/h/spr/lnichp/978-3-030-10737-6_19.html
   My bibliography  Save this book chapter

Big Data at the Service of Universities: Towards a Change in the Organizational Structure and the Decision-Making Processes

In: ICT for a Better Life and a Better World

Author

Listed:
  • Dina Sidani

    (Saint-Joseph University)

  • May Sayegh

    (Saint-Joseph University)

Abstract

If the information is at the heart of economic intelligence and institutional power, the data are the essential elements to build knowledge for a decision making that might seem to be optimal in view of the opportunities and knowledge available at a given time. Today, with the explosion of mass data which are characterized by their diversity, their nature and their connections to other objects, Business Intelligence shows its limits. In a context where business competitiveness depends on the use of technology for processing the data to facilitate decision making, Big Data seems to be the right solution. Nowadays, the variety of data sources and the need for fast and real-time processing demand new methods of data storage and analysis. Big Data is a (R) evolution of technologies and decision-support approaches. It precisely allows refining the understanding of the situation and improving decision efficiency through prediction. The adoption of Big Data has profound implications in institutions. It is the organizational structure that is called into question, calling not only for new decision-making approaches but also and especially for new profiles. In the same context, there is a growing interest among institutions of higher education in taking advantage of Big Data to improve student performance, while reducing administrative work load. Higher educational institutions can benchmark their student, professor and curriculum performance against like universities, offering yet new insight into the potential for improvement. Through a qualitative study conducted in 6 universities, we will show how the adoption of Big Data will transform the organizational structure and the decision-making processes within the universities of Lebanon.

Suggested Citation

  • Dina Sidani & May Sayegh, 2019. "Big Data at the Service of Universities: Towards a Change in the Organizational Structure and the Decision-Making Processes," Lecture Notes in Information Systems and Organization, in: Youcef Baghdadi & Antoine Harfouche (ed.), ICT for a Better Life and a Better World, pages 299-312, Springer.
  • Handle: RePEc:spr:lnichp:978-3-030-10737-6_19
    DOI: 10.1007/978-3-030-10737-6_19
    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:lnichp:978-3-030-10737-6_19. 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.