Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/13069
Title: The board demography – firm performance relationship revisited: opening the ‘black box’ using Bayesian analysis
Authors: HUYBRECHTS, Jolien 
VOORDECKERS, Wim 
D'ESPALLIER, Bert 
LYBAERT, Nadine 
VANDEMAELE, Sigrid 
VAN GILS, Anita 
Issue Date: 2011
Source: Norefjell VIII Board Governance Workshop, Norefjell - Norway, 6-9 January, 2011
Abstract: Boards of directors have enjoyed an increased attention in recent management research. Because of scant and conflicting empirical evidence on the relationships between board demographic variables and firm performance, recent research has shown special interest for the antecedents of board performance in an effort to open the black box of the board of directors. We build on this research by testing a model that incorporates not only these board-level outcomes but also includes the preceding board demographics and subsequent firm performance. Moreover, building on behavioral theory, we argue that in order to study board behavior, focusing merely on actual board task performance is not enough. An integration of board task needs by studying how they differ from the actual board task performance is called for. We make use of a Bayesian estimation method that allows us to make firm specific estimates of the effect of board composition on firm performance, which we can then further analyze by using board behavior measures. Our findings indicate that the effects of the board demographic characteristics -board size and percentage of family directors- on firm performance, are negatively related to the size of the gap between the board task needs and board task performance for the service as well as the control task.
Keywords: Board of directors; Bayesian estimation; Board task needs; Family directors; Board size
Document URI: http://hdl.handle.net/1942/13069
Category: C2
Type: Conference Material
Appears in Collections:Research publications

Show full item record

Page view(s)

72
checked on Aug 6, 2023

Google ScholarTM

Check


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