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Models of causal inference : imperfect but applicable is better than perfect but inapplicable

Tsang, Eric W. K. - ; Runde, Jochen - ; Ellsaesser, Florian - ;

We assess a recent paper by Durand and Vaara (2009) that advances causal graph modeling as a tool for inferring causes in strategy research. We focus on the Markov condition, a key assumption on which causal graph modeling is based, and show why this condition is invariably violated in strategic management in general and the resource-based view of the firm in particular. We then introduce vector space modeling as a quantitative alternative to causal graph modeling, and consider how improved methods of causal inference might enhance our ability to test some of the central propositions of the resource-based view..Printed Journal, baca ditempat


Ketersediaan

Call NumberLocationAvailable
SMJ3510PSB lt.dasar - Pascasarjana1
Penerbit: Wiley Periodicals
Edisi-
SubjekCompetitive advantage
Causation
based view
resource
Causal graph modeling
Vector space modeling
ISBN/ISSN1432095
Klasifikasi-
Deskripsi Fisik-
Info Detail Spesifik-
Other Version/RelatedTidak tersedia versi lain
Lampiran BerkasTidak Ada Data

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