Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/218093 
Authors: 
Year of Publication: 
1993
Citation: 
[Journal:] South African Journal of Business Management [ISSN:] 2078-5976 [Volume:] 24 [Issue:] 1 [Publisher:] African Online Scientific Information Systems (AOSIS) [Place:] Cape Town [Year:] 1993 [Pages:] 23-28
Publisher: 
African Online Scientific Information Systems (AOSIS), Cape Town
Abstract: 
In this article I seek to determine those organizational and individual factors which best predict executive remuneration. I describe how a pilot study was used to test a variety of factors and to eliminate those which were clearly poor predictors of executive remuneration. Applying multiple regression analysis to the data submitted to an executive salary survey, two sets of factors were obtained. Certain factors individually proved to be better predictors, but it was found that a combination of factors yielded the highest coefficients of determination. The weighting of each factor was then determined in order to derive a market pricing model for executive remuneration.
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article

Files in This Item:
File
Size





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.