IDEAS home Printed from https://ideas.repec.org/a/igg/jbir00/v17y2026i1p1-18.html

Data-Driven Government Agencies in Sweden

Author

Listed:
  • Mikael Berndtsson

    (University of Skövde, Sweden)

  • Karin García Ambrosiani

    (Independent Researcher, Sweden)

  • Niclas Olofsson

    (Mid Sweden University, Sweden)

Abstract

Data-driven government agencies frequently rely on using analytics (descriptive, predictive, prescriptive) together with high-quality data. A common benefit of being a data-driven agency is the ability to make informed decisions. Previous research has provided findings from case studies and small sample surveys that mix different types of organizations, e.g., municipalities and government agencies. Hence, it is difficult to generalize for an entire segment, e.g., government agencies, on what they do in practice to become more data driven. This paper aims to investigate what government agencies in Sweden do in practice to become more data driven. Data was collected from 137 government agencies via a web-based questionnaire, and analyzed with respect to current practices, systematicity, and strategies. The findings are that most government agencies are not characterized as data-driven, lack systematicity in using analyzed data in decision-making, and mostly develop strategies for technical platforms and data.

Suggested Citation

  • Mikael Berndtsson & Karin García Ambrosiani & Niclas Olofsson, 2026. "Data-Driven Government Agencies in Sweden," International Journal of Business Intelligence Research (IJBIR), IGI Global Scientific Publishing, vol. 17(1), pages 1-18, January.
    • Handle: RePEc:igg:jbir00:v:17:y:2026:i:1:p:1-18
    as

    Download full text from publisher

    File URL: https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJBIR.416658
    Download Restriction: no
    ---><---

    More about this item

    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:igg:jbir00:v:17:y:2026:i:1:p:1-18. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.