European management research using partial least squares structural equation modeling (PLS-SEM)

Title: European management research using partial least squares structural equation modeling (PLS-SEM)
Creator: Richter, Nicole Franziska; Cepeda, Gabriel; Roldán, José Luis; Ringle, Christian M.
Relation: European Management Journal Vol. 34, Issue 6, p. 589-597
Publisher Link: http://dx.doi.org/10.1016/j.emj.2016.08.001
Publisher: Elsevier
Resource Type: journal article
Date: 2016
Description: Hair, Sarstedt, Pieper, and Ringle's (2012) review study shows that partial least squares structural equation modeling (PLS-SEM) has become an increasingly applied multivariate analysis technique in management research. More recently, Richter, Sinkovics, Ringle, and Schlägel (2016) echo this result by showing that the number of PLS-SEM applications in (international) business research has increased substantially in the past few years. However, PLS-SEM is still new to many researchers who want to know: What exactly is PLS-SEM?
Subject: management research; partial least squares (PLS); structural equation modeling (SEM); path modeling; quantitative methods; method development; empirical application
Identifier: http://hdl.handle.net/1959.13/1325619
Identifier: uon:25314
Identifier: ISSN:0263-2373
Language: eng
Reviewed

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