Empirical study on the variables of the Balanced Scorecard model

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DC Field	Value	Language
dc.contributor.author	Yassine ALI BELHADJ	-
dc.date.accessioned	2015-12	-
dc.date.available	2015-12	-
dc.date.issued	2015-12	-
dc.identifier.issn	1938-2170	-
dc.identifier.uri	http://dspace.univ-ouargla.dz/jspui/handle/123456789/10646	-
dc.description	Algerian business performance review	en_US
dc.description.abstract	The Balanced Scorecard is a performance management model. The structural equation methods are employed in quantitative research in order to test models of causality, incorporating several latent variables. Partial Least Squares approach (PLS) is a method of estimating structural models based on variance, applied in this empirical study, which aims to know the signification degree between the variables of Balanced Scorecard.	en_US
dc.language.iso	fr	en_US
dc.relation.ispartofseries	numero 9 2016;	-
dc.subject	Balanced Scorecard	en_US
dc.subject	Performance Dimensions	en_US
dc.subject	structural equation methods	en_US
dc.subject	PLS) approach;	en_US
dc.subject	Types of constructions	en_US
dc.title	Empirical study on the variables of the Balanced Scorecard model	en_US
dc.type	Article	en_US
Appears in Collections:	numéro 09 2016 V5 n1

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