The process of selecting factors that predict executive remuneration

South African Journal of Business Management

 
 
Field Value
 
Title The process of selecting factors that predict executive remuneration
 
Creator Hipkin, I. B.
 
Subject — —
Description 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.
 
Publisher AOSIS
 
Contributor
Date 1993-03-31
 
Type info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion —
Format application/pdf
Identifier 10.4102/sajbm.v24i1.859
 
Source South African Journal of Business Management; Vol 24, No 1 (1993); 23-28 2078-5976 2078-5585
 
Language eng
 
Relation
The following web links (URLs) may trigger a file download or direct you to an alternative webpage to gain access to a publication file format of the published article:

https://sajbm.org/index.php/sajbm/article/view/859/793
 
Coverage — — —
Rights Copyright (c) 2018 I. B. Hipkin https://creativecommons.org/licenses/by/4.0
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