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Organizational structure as a determinant of performance: Evidence from mutual funds
Authors
Aghion
Argote
+80 more
Argyres
Barnard
Bikhchandani
Bolton
Burgelman
Chandler
Chen
Chevalier
Christensen
Cohen
Cohen
Cremer
Cyert
Daft
Davis
Davis
Davison
Efron
Efron
Ethiraj
Fama
Foss
Galbraith
Garicano
Garicano
Garud
Gavetti
Gavetti
Geanakoplos
Gerstner
Goetzmann
Green
Gulati
Harris
Hart
Hawn
Herbold
Hinsz
Hrebiniak
Janis
Kahneman
Knudsen
Kosowski
Langlois
Lerner
Macmillan
Maritan
Marschak
Mintzberg
Moore
Morningstar
National Commission on Terrorist Attacks upon the United States
Peterson
Pettigrew
Pfeffer
Puranam
Qian
Radner
Raisch
Rausand
Rivkin
Robbins
Rotemberg
Rumelt
Sah
Sah
Sah
Siggelkow
Simon
Starbuck
Stasser
Stratford
Thompson
Van den Steen
Van Fleet
Van Zandt
Williams
Williamson
Zajac
Zenger
Publication date
1 June 2012
Publisher
'Wiley'
Doi
Abstract
This article develops and tests a model of how organizational structure influences organizational performance. Organizational structure, conceptualized as the decision‐making structure among a group of individuals, is shown to affect the number of initiatives pursued by organizations and the omission and commission errors (Type I and II errors, respectively) made by organizations. The empirical setting is more than 150,000 stock‐picking decisions made by 609 mutual funds. Mutual funds offer an ideal and rare setting to test the theory, since there are detailed records on the projects they face, the decisions they make, and the outcomes of these decisions. The study's independent variable, organizational structure, is coded based on fund management descriptions made by Morningstar, and estimates of the omission and commission errors are computed by a novel technique that uses bootstrapping to create measures that are comparable across funds. The findings suggest that organizational structure has relevant and predictable effects on a wide range of organizations. In particular, the article shows empirically that increasing the consensus threshold required by a committee in charge of selecting projects leads to more omission errors, fewer commission errors, and fewer approved projects. Applications include designing organizations that achieve a given mix of exploration and exploitation, as well as predicting the consequences of centralization and decentralization. This work constitutes the first large‐sample empirical test of the model by Sah and Stiglitz ( 1986 ). Copyright © 2012 John Wiley & Sons, Ltd.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/91096/1/1969_ftp.pd
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oai:deepblue.lib.umich.edu:202...
Last time updated on 25/05/2012
Crossref
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info:doi/10.1002%2Fsmj.1969
Last time updated on 15/02/2019