The use of partial least squares path modeling in international marketing

Henseler, J; Ringle, C; Sinkovics, RR

The use of partial least squares path modeling in international marketing

Henseler, J Ringle, C Sinkovics, RR

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Publisher:: JAI Press, Elsevier
Publication Type:: Journal Article
Citation:: Advances in International Marketing, 2009, 1, 20 (1), pp. 277 - 319
Issue Date:: 2009-01

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Field	Value	Language
dc.contributor.author	Henseler, J	en_US
dc.contributor.author	Ringle, C	en_US
dc.contributor.author	Sinkovics, RR	en_US
dc.date.issued	2009-01	en_US
dc.identifier.citation	Advances in International Marketing, 2009, 1, 20 (1), pp. 277 - 319	en_US
dc.identifier.issn	1474-7979	en_US
dc.identifier.uri	http://hdl.handle.net/10453/10057
dc.description.abstract	The advent of structural equation modeling (SEM) with latent variables has changed the nature of research in international marketing and management. Researchers acknowledge the possibilities of distinguishing between measurement and structural models and explicitly taking measurement error into account. As Gefen, Straub, and Boudreau (2000, p. 6) point out, ``SEM has become de rigueur in validating instruments and testing linkages between constructs. They furthermore distinguish between two families of SEM techniques: covariance-based techniques, as represented by LISREL, and variance-based techniques, of which partial least squares (PLS) path modeling is the most prominent representative.	en_US
dc.publisher	JAI Press, Elsevier	en_US
dc.relation.ispartof	Advances in International Marketing	en_US
dc.relation.isbasedon	10.1108/02651331311314556	en_US
dc.subject.classification	Marketing	en_US
dc.title	The use of partial least squares path modeling in international marketing	en_US
dc.type	Journal Article
utslib.citation.volume	1	en_US
utslib.citation.volume	20	en_US
utslib.for	150504 Marketing Measurement	en_US
utslib.for	1505 Marketing	en_US
utslib.citation.edition	1	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Business
utslib.copyright.status	closed_access
pubs.consider-herdc	false	en_US
pubs.edition	1	en_US
pubs.issue	1	en_US
pubs.volume	20	en_US

Abstract:

The advent of structural equation modeling (SEM) with latent variables has changed the nature of research in international marketing and management. Researchers acknowledge the possibilities of distinguishing between measurement and structural models and explicitly taking measurement error into account. As Gefen, Straub, and Boudreau (2000, p. 6) point out, ``SEM has become de rigueur in validating instruments and testing linkages between constructs. They furthermore distinguish between two families of SEM techniques: covariance-based techniques, as represented by LISREL, and variance-based techniques, of which partial least squares (PLS) path modeling is the most prominent representative.

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http://hdl.handle.net/10453/10057