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Competitiveness model designing: Internal approach from resourced-based toward knowledge-based (CROSBI ID 575829)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Fabac, Robert Competitiveness model designing: Internal approach from resourced-based toward knowledge-based // CECIIS 2011 Proceedings / Hunjak, Tihomir ; Lovrenčić, Sandra ; Tomičić, Igor (ur.). Varaždin: University of Zagreb, FOI, 2011. str. 205-211

Podaci o odgovornosti

Fabac, Robert

engleski

Competitiveness model designing: Internal approach from resourced-based toward knowledge-based

Companies that operate in the contemporary environment attempt to realize a competitive advantage. To achieve that, different means need to be employed than two decades ago. The resource-based view (RBV) is a well-known strategic approach that has established the concept of increasing companies' business strength (i.e. competitiveness) through developing valuable resources and capabilities observing the paradigm of industrial age organizations. This paper examines new approaches and introduces a new model for determining organizational competitiveness drawing on the RBV model. Elements of a created knowledge-based (KB) model are incorporated within the framework of the RBV model. Using the conventional RBV model and the modified RBV-KB model, business results of a sample of Croatian breweries were evaluated and their competitiveness levels estimated. It is suggested that the improved model is more appropriate for explaining the business results of Croatian breweries.

Resources; capabilities; learning; knowledge; networks; ICT; competitive advantage

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Podaci o prilogu

205-211.

2011.

objavljeno

Podaci o matičnoj publikaciji

CECIIS 2011 Proceedings

Hunjak, Tihomir ; Lovrenčić, Sandra ; Tomičić, Igor

Varaždin: University of Zagreb, FOI

Podaci o skupu

Central European Conference on Information and Intelligent Systems

predavanje

21.09.2011-23.09.2011

Varaždin, Hrvatska

Povezanost rada

Ekonomija, Informacijske i komunikacijske znanosti