- 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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