IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-04639214.html
   My bibliography  Save this paper

Democratization of organizations from Massive Collective Intelligence Devices (MCID) relying on artificial intelligence (A.I.)

Author

Listed:
  • Eline Vivet Maladry

    (UEVE - Université d'Évry-Val-d'Essonne, LITEM - Laboratoire en Innovation, Technologies, Economie et Management (EA 7363) - UEVE - Université d'Évry-Val-d'Essonne - Université Paris-Saclay - IMT-BS - Institut Mines-Télécom Business School - IMT - Institut Mines-Télécom [Paris])

Abstract

This doctoral research explores the impact on the democratization of organizations from Massive Collective Intelligence Devices (MCID) relying on artificial intelligence (A.I.) technologies. These MCIDs present themselves as a means to democratize organizations by enabling employees to participate in strategic decision-making through dedicated tools. This doctoral project is positioned at the intersection of two different research streams. On the first side, we draw on the concept of deliberative democracy at the workplace illuminated by political philosophy. On the second side, we investigate the use of A.I.-enabled collective intelligence in organizations by using recent developments in management sciences. This research investigates whether - and under which conditions - such technological tools could enable businesses to act for society (Daniele et al., 2019). The approach is abductive, allowing frequent back-and-forth between the field and theoretical readings. The research relies on a qualitative methodology and unfolds in three distinct phases: 1) studying companies providing MCIDs; 2) tracking their implementation in several client organizations; 3) conducting an exploration among user-employees. Preliminary results were presented and discussed during the Doctoral-Colloquium

Suggested Citation

  • Eline Vivet Maladry, 2024. "Democratization of organizations from Massive Collective Intelligence Devices (MCID) relying on artificial intelligence (A.I.)," Post-Print hal-04639214, HAL.
    • Handle: RePEc:hal:journl:hal-04639214
    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:hal:journl:hal-04639214. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.