Clustering Organizational Learning Capability Indices for Knowledge Sharing in Different Segments of the Firm
Since maximization of learning and organizational learning capabilities is the most important element for the success of knowledge management in each organization, this paper focuses on the dimensions of organizational learning capability. We suggest a mathematical clustering structure of dimensions according to their effect on the learning capability for different parts of the organization in order to obtain the highest level of learning capability in an organization. The proposed mathematical clustering aims to relate the needs of different sections of a firm to the corresponding learning capabilities.
Volume (Year): 2 (2013)
Issue (Month): 2 ()
|Contact details of provider:|| Web page: http://www.issbs.si|
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Ricardo Chiva & Joaquin Alegre & Rafael Lapiedra, 2007. "Measuring organisational learning capability among the workforce," International Journal of Manpower, Emerald Group Publishing, vol. 28(1), pages 224 - 242, April.
- Goh, Swee & Richards, Gregory, 1997. "Benchmarking the learning capability of organizations," European Management Journal, Elsevier, vol. 15(5), pages 575-583, October.
- Anthony J. Dibella & Janet M. Gould, 1996. "Understanding Organizational Learning Capability," Journal of Management Studies, Wiley Blackwell, vol. 33(3), pages 361-379, 05.
- Hult, G. Tomas M. & Ferrell, O. C., 1997. "Global organizational learning capacity in purchasing: Construct and measurement," Journal of Business Research, Elsevier, vol. 40(2), pages 97-111, October.
When requesting a correction, please mention this item's handle: RePEc:isv:jouijm:v:2:y:2013:i:2:p:209-225. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Alen Ježovnik)
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.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.