IDEAS home Printed from https://ideas.repec.org/a/wsi/ijitdm/v23y2024i01ns021962202330001x.html
   My bibliography  Save this article

The Automation of Management Decisions: A Systematic Review and Research Agenda of the Factors Influencing the Decision to Increase the Level of Automation

Author

Listed:
  • Lorenz Rossmann

    (EBS Business School, EBS Universität für Wirtschaft und Recht, Rheingaustraße 1, 65375 Oestrich-Winkel, Germany)

  • Andreas Wald

    (School of Business and Law, University of Agder, Universitetsveien 25, 4630 Kristiansand, Norway)

Abstract

Driven by promises of better and quicker decision-making, research on applications of technologies such as artificial intelligence in automating management decisions is increasing. However, the factors influencing the decision to increase the level of automation of a given management decision have remained a sidenote in the literature. In this systematic literature review, we organize these factors from the fragmented and heterogeneous research landscape concerned with automating management decisions. Using a systematically derived sample of research, we categorize and distill a multitude of factors into four themes: goals, foundations, design considerations, and application. We propose positive influences of six factors and a negative influence of one, namely costs, on the decision to increase the level of automation of a management decision. Finally, based on these propositions, we derive an agenda to guide future research.

Suggested Citation

  • Lorenz Rossmann & Andreas Wald, 2024. "The Automation of Management Decisions: A Systematic Review and Research Agenda of the Factors Influencing the Decision to Increase the Level of Automation," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 23(01), pages 107-140, January.
  • Handle: RePEc:wsi:ijitdm:v:23:y:2024:i:01:n:s021962202330001x
    DOI: 10.1142/S021962202330001X
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S021962202330001X
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://libkey.io/10.1142/S021962202330001X?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:wsi:ijitdm:v:23:y:2024:i:01:n:s021962202330001x. 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: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/ijitdm/ijitdm.shtml .

    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.