IDEAS home Printed from https://ideas.repec.org/a/igg/jbir00/v11y2020i1p22-37.html
   My bibliography  Save this article

Trust, Organizational Decision-Making, and Data Analytics: An Exploratory Study

Author

Listed:
  • Joseph E. Kasten

    (Penn State, York, USA)

Abstract

The use of data analytics of all kinds is making inroads into almost all industries. There are many studies that explore the usefulness and organizational benefits of these tools. However, there has been relatively little attention paid to the other issues that accompany the implementation of these tools, namely the level of trust felt by the consumers of the information products of these tools and the changes in decision-making caused by the introduction of data analytics. It is important that the level of trust these decision-makers have in their analytics tools be understood as that will have great impact on how these tools will be used and how the firm will use them to build value. This study examines the level of trust organizations have in their analytics tools and how these tools have changed their decision-making processes. This study will add to the broad understanding of how and where data analytics tools fit into the data-driven organization.

Suggested Citation

  • Joseph E. Kasten, 2020. "Trust, Organizational Decision-Making, and Data Analytics: An Exploratory Study," International Journal of Business Intelligence Research (IJBIR), IGI Global, vol. 11(1), pages 22-37, January.
  • Handle: RePEc:igg:jbir00:v:11:y:2020:i:1:p:22-37
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJBIR.2020010102
    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:11:y:2020:i:1:p:22-37. 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.