IDEAS home Printed from https://ideas.repec.org/a/igg/jkm000/v14y2018i2p1-15.html
   My bibliography  Save this article

Knowledge Acquisition, Knowledge Application, and Innovation Towards the Ability to Adapt to Change

Author

Listed:
  • Lejla Turulja

    (School of Economics and Business, University of Sarajevo, Sarajevo, Bosnia and Herzegovina)

  • Nijaz Bajgorić

    (School of Economics and Business, University of Sarajevo, Sarajevo, Bosnia and Herzegovina)

Abstract

The objective of article is to provide important empirical evidence to support the role of individual knowledge management processes and separate innovation types within firms. Specifically, knowledge acquisition and knowledge application are analyzed and empirically tested in relation to product and process innovation as well as business performance. The results support the direct impact of product and process innovation on business performance. In addition, the results show the indirect effect of knowledge acquisition and knowledge application on firm business performance through product and process innovation. Although KM represents a complex concept of knowledge management in a firm and can contain more processes, this article confirms that KM processes individually contribute to the innovation and indirectly on business performance. Besides, it confirms mediating effect of innovation between both knowledge acquisition and knowledge application and organizational business performance. In addition, most of the similar studies have been focused on the developed Western countries.

Suggested Citation

  • Lejla Turulja & Nijaz Bajgorić, 2018. "Knowledge Acquisition, Knowledge Application, and Innovation Towards the Ability to Adapt to Change," International Journal of Knowledge Management (IJKM), IGI Global, vol. 14(2), pages 1-15, April.
  • Handle: RePEc:igg:jkm000:v:14:y:2018:i:2:p:1-15
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJKM.2018040101
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Anton Miglo, 2021. "STO vs. ICO: A Theory of Token Issues under Moral Hazard and Demand Uncertainty," JRFM, MDPI, vol. 14(6), pages 1-35, May.
    2. Ying Tian & Jiayi Hong, 2022. "In the Context of Digital Finance, Can Knowledge Enable Manufacturing Companies to Be More Courageous and Move towards Sustainable Innovation?," Sustainability, MDPI, vol. 14(17), pages 1-24, August.

    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:jkm000:v:14:y:2018:i:2:p:1-15. 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.