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

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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 Number	Location	Available
SMJ3510	PSB lt.dasar - Pascasarjana	1

Penerbit	Wiley Periodicals.,
Edisi	-
Subjek	Competitive advantage Causation based view resource Causal graph modeling Vector space modeling
ISBN/ISSN	1432095
Klasifikasi	-
Deskripsi Fisik	-
Info Detail Spesifik	-
Other Version/Related	Tidak tersedia versi lain
Lampiran Berkas	Tidak Ada Data