IDEAS home Printed from https://ideas.repec.org/h/spr/lnichp/978-3-032-01396-5_17.html
   My bibliography  Save this book chapter

State of the Art of Business Analytics for Enterprise Transformation Steering

In: Technology-Driven Transformation

Author

Listed:
  • Benedict Lösser

    (Institute of Information Systems and Digital Business, University of St. Gallen)

Abstract

As Enterprise Transformations (ETs) pose significant challenges for companies, it is crucial to steer these resource-intensive endeavors rigorously. However, there is a substantial gap between ET’s operational implementation and their steering committees. While existing literature suggests comprehensive information factors to support ET steering, the extent to which these factors are applied in practice and standardized through business analytics remains unclear. This manuscript aims to analyze the current state of business analytics in ET steering through a descriptive interview study. Our findings reveal that these concepts have been utilized only to a limited extent in practice, particularly for context and ET process-related factors. We further highlight and advocate for the increased adoption and implementation of specific business analytics for ET steering, addressing information gaps and enhancing decision quality. This research contributes to the discourse on ET steering by demonstrating the practical applications and benefits of business analytics in improving ET decision-making processes.

Suggested Citation

  • Benedict Lösser, 2025. "State of the Art of Business Analytics for Enterprise Transformation Steering," Lecture Notes in Information Systems and Organization, in: Aizhan Tursunbayeva & Francesco Virili & Alessio Maria Braccini (ed.), Technology-Driven Transformation, pages 289-305, Springer.
    • Handle: RePEc:spr:lnichp:978-3-032-01396-5_17
    DOI: 10.1007/978-3-032-01396-5_17
    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
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:978-3-032-01396-5_17. 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.