Editorial - Partial Least Squares: The Better Approach to Structural Equation Modeling?

Long Range Planning, Vol. 45, Issues 5-6, pp. 312-319, 2012, DOI: 10.1016/j.lrp.2012.09.011

8 Pages Posted: 6 Mar 2013

See all articles by Joseph F. Hair

Joseph F. Hair

Kennesaw State University

Christian M. Ringle

Hamburg University of Technology (TUHH); Waikato Management School

Marko Sarstedt

Otto-von-Guericke-Universität Magdeburg; Otto-von-Guericke-Universität Magdeburg; University of Newcastle (Australia)

Date Written: December 1, 2012

Abstract

Researchers and practitioners appreciate the various advantageous features that PLS-SEM, as a component-based approach to SEM, offers in practical applications. Although strategic management research relatively early on recognized PLS-SEM's flexibility regarding handling various modeling problems in studies (e.g., Hulland, 1999), its usefulness is still not well established amongst many management and strategy researchers. Against this background, this Long Range Planning special issue on PLS-SEM in strategic management research and practice seeks to provide a forum for topical issues that demonstrate its usefulness in this field. Descriptions of the method, its empirical applications, and methodological advancements that increase its usefulness in research and practice are specifically emphasized. As such, the special issue aims at two audiences: academics involved in the fields of strategy and management, and practitioners such as consultants. Accordingly, theoretical, methodological, and empirical manuscripts with strong implications for strategic research and practice are included in this special issue.

Keywords: partial least squares, PLS, structural equation modeling, SEM, path modeling, strategic management

JEL Classification: A00

Suggested Citation

Hair, Joseph F. and Ringle, Christian M. and Sarstedt, Marko, Editorial - Partial Least Squares: The Better Approach to Structural Equation Modeling? (December 1, 2012). Long Range Planning, Vol. 45, Issues 5-6, pp. 312-319, 2012, DOI: 10.1016/j.lrp.2012.09.011. Available at SSRN: https://ssrn.com/abstract=2227601

Joseph F. Hair

Kennesaw State University ( email )

1000 Chastain Rd
Kennesaw, GA 30144
United States

Christian M. Ringle (Contact Author)

Hamburg University of Technology (TUHH) ( email )

Schwarzenbergstr. 95 (D)
Hamburg, D-21071
Germany

HOME PAGE: http://www.tuhh.de/hrmo

Waikato Management School ( email )

Te Raupapa
Private Bag 3105
Hamilton, 3240
New Zealand

Marko Sarstedt

Otto-von-Guericke-Universität Magdeburg ( email )

Universitätspl. 2
PSF 4120
Magdeburg, D-39106
Germany

Otto-von-Guericke-Universität Magdeburg ( email )

Universitätspl. 2
PSF 4120
Magdeburg, D-39106
Germany

University of Newcastle (Australia) ( email )

University Drive
Callaghan, NSW 2308
Australia

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