Artikel
The process of selecting factors that predict executive remuneration
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.
- Sprache
-
Englisch
- Erschienen in
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Journal: South African Journal of Business Management ; ISSN: 2078-5976 ; Volume: 24 ; Year: 1993 ; Issue: 1 ; Pages: 23-28 ; Cape Town: African Online Scientific Information Systems (AOSIS)
- Klassifikation
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Management
- Ereignis
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Geistige Schöpfung
- (wer)
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Hipkin, I. B.
- Ereignis
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Veröffentlichung
- (wer)
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African Online Scientific Information Systems (AOSIS)
- (wo)
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Cape Town
- (wann)
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1993
- DOI
-
doi:10.4102/sajbm.v24i1.859
- Handle
- Letzte Aktualisierung
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10.03.2025, 11:42 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Artikel
Beteiligte
- Hipkin, I. B.
- African Online Scientific Information Systems (AOSIS)
Entstanden
- 1993
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