IDEAS home Printed from https://ideas.repec.org/a/igg/jsita0/v7y2016i4p64-93.html
   My bibliography  Save this article

The Power of Unstructured Data: A Study of the Impact of Tacit Knowledge on Business Performance

Author

Listed:
  • Armando E. Paladino

    (University of Phoenix, Raleigh, NC, USA)

  • Kathleen M. Hargiss

    (University of Phoenix, Bradenton, FL, USA)

  • Caroline Howard

    (HC Consulting, Oceanside, CA, USA)

Abstract

This study examined the incorporation of tacit knowledge into corporate business intelligence and its impact on business performance, specifically analyzing individual productivity. Business productivity in relation to the use of knowledge has been investigated but using macro-dimensions not specifically oriented to individual workers' productivity. This study was based on externalization, one of the modes in the theory of organizational knowledge creation (that is, converting tacit knowledge into explicit knowledge). The findings on the literature stated that knowledge is the most important piece of business competitive advantage and that tacit knowledge is a key part of that knowledge. This research found that tacit knowledge did not influence individual engineers' productivity and as such did not affect business performance. Additionally, it found that tacit knowledge was not a factor that could be used to predict individual productivity. This research was the first attempt to investigate individual productivity in relation to tacit knowledge.

Suggested Citation

  • Armando E. Paladino & Kathleen M. Hargiss & Caroline Howard, 2016. "The Power of Unstructured Data: A Study of the Impact of Tacit Knowledge on Business Performance," International Journal of Strategic Information Technology and Applications (IJSITA), IGI Global, vol. 7(4), pages 64-93, October.
  • Handle: RePEc:igg:jsita0:v:7:y:2016:i:4:p:64-93
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJSITA.2016100102
    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:jsita0:v:7:y:2016:i:4:p:64-93. 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.