Partial least squares structural equation modeling: rigorous applications, better results and higher acceptance (editorial)

Title: Partial least squares structural equation modeling: rigorous applications, better results and higher acceptance (editorial)
Creator: Hair, Joseph F.; Ringle, Christian M.; Sarstedt, Marko
Relation: Long Range Planning Vol. 46, Issue 1-2, p. 1-12
Publisher Link: http://dx.doi.org/10.1016/j.lrp.2013.01.001
Publisher: Pergamon Press
Resource Type: journal article
Date: 2013
Description: Wold's (1982, 1974) and Lohmöller's (1989) partial least squares structural equation modeling (PLS-SEM) approach has enjoyed increasing popularity as a key multivariate analysis method in various research disciplines such as accounting (Lee et al., 2011), international marketing (Henseler et al., 2009), management information systems (Ringle et al., 2012), marketing (Hair et al., 2012c) and operations management (Peng and Lai, 2012). Similarly, strategic management research has recognized PLS-SEM's flexibility regarding the handling of various modeling problems (e.g., Hulland, 1999). However, according to Hair et al.'s. (2012b) recent review of PLS-SEM use in the strategic management field, the method's dissemination is not as widespread as in other fields.
Subject: PLS-SEM; partial least squares; structural equation modeling; multivariate analysis
Identifier: http://hdl.handle.net/1959.13/1058274
Identifier: uon:16377
Identifier: ISSN:0024-6301
Language: eng

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