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The use of variance decomposition in the investigation of CEO effects : how large must the CEO effect be to rule out chance?

Fitza, Markus A. - ;

Variance decomposition analysis is often used to examine the degree to which CEOs influence their companies' performance (the so-called CEO effect). Such studies play an important role in a body of literature that investigates the effect of leadership on organizations. In this paper, I argue that these previous studies have an important underlying flaw. Empirically, these studies wrongly attribute the performance effect of randomness?of chance?to the CEO. I demonstrate how randomness can affect the measured effects in a variance decomposition analysis, and I show that this is especially problematic for the measurement of CEO effects. I demonstrate how this results in a greatly inflated CEO effect and develop an approach to correct for it. .Printed Journal, baca ditempat


Ketersediaan

Call NumberLocationAvailable
SMJ3512PSB lt.dasar - Pascasarjana1
Penerbit: Wiley Periodicals
Edisi-
SubjekVariance decomposition
CEOs
CEO effect
Chance
Sources of performance heterogeneity
ISBN/ISSN1432095
Klasifikasi-
Deskripsi Fisik-
Info Detail Spesifik-
Other Version/RelatedTidak tersedia versi lain
Lampiran BerkasTidak Ada Data

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