Linear regression model as a tool for measuring organizational capital
The authors´ goal was to create a model suitable for measuring organization capital, that is to say a model with high coefficient of determination, in which coefficients of all regressors and the intercept are statistical significant. Three linear regression models for the years 2006, 2007 and 2008 of roughly 270 companies based in the Vysočina region were produced by means of the Forward and Backward Stepwise methods, on the basis of company information. Low p-levels (approaching 0) show the statistical significance of all the regression coefficients, including the intercept and their p-levels, are 0.048, 0.010 and 0.032 in this order. In all of the three years it was proved through the level of significance of 0.05 that all three independent variables, as well as the intercept, influence the dependent variable. This intercept determines the level of organizational capital of a company. The suitability of the used model is also supported by the fact that coefficients of determination reach high values (more than 0.93 for 2006 and more than 0.94 for 2007 and 2008). This article is a part of the results of the project no. 402/09/2057 „Measurement and management of the intangible assets impact on enterprise performance“ financed by Czech Science Foundation.
Volume (Year): 14 (2011)
Issue (Month): 1 ()
|Contact details of provider:|| Postal: Studentská 13, 370 05 České Budĕjovice|
Web page: http://acta.ef.jcu.cz/
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:boh:actaub:v:14:y:2011:i:1:p:7-13. 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: (Šárka Steinová)
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.