Universität zu Köln

Schlittgen, Rainer, Ringle, Christian M., Sarstedt, Marko ORCID: 0000-0002-5424-4268 and Becker, Jan-Michael ORCID: 0000-0003-3013-3739 (2016). Segmentation of PLS path models by iterative reweighted regressions. J. Bus. Res., 69 (10). S. 4583 - 4593. NEW YORK: ELSEVIER SCIENCE INC. ISSN 1873-7978

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Abstract

Uncovering unobserved heterogeneity is a requirement to obtain valid results when using structural equation modeling (SEM). Conventional segmentation methods usually fail in an SEM context because they account for the indicator data, but not for the latent variables and their relationships in the structural model. This research introduces a new segmentation approach to variance-based SEM using partial least squares path modeling (PLS). The iterative reweighted regressions segmentation method for PIS (PLS-IRRS) effectively identifies and treats unobserved heterogeneity in data sets. Compared to existing alternatives, PLS-IRRS is multiple times faster while delivering results of the same quality. Researchers should therefore routinely use PLS-IRRS to address the critical issue of unobserved heterogeneity in PLS. (C) 2016 Published by Elsevier Inc.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Schlittgen, Rainer UNSPECIFIED UNSPECIFIED UNSPECIFIED Ringle, Christian M. UNSPECIFIED UNSPECIFIED UNSPECIFIED Sarstedt, Marko UNSPECIFIED orcid.org/0000-0002-5424-4268 UNSPECIFIED Becker, Jan-Michael UNSPECIFIED orcid.org/0000-0003-3013-3739 UNSPECIFIED
URN:	urn:nbn:de:hbz:38-261915
DOI:	10.1016/j.jbusres.2016.04.009
Journal or Publication Title:	J. Bus. Res.
Volume:	69
Number:	10
Page Range:	S. 4583 - 4593
Date:	2016
Publisher:	ELSEVIER SCIENCE INC
Place of Publication:	NEW YORK
ISSN:	1873-7978
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language PARTIAL LEAST-SQUARES; TREATING UNOBSERVED HETEROGENEITY; RESPONSE-BASED SEGMENTATION; STRUCTURAL EQUATION MODELS; CUSTOMER SATISFACTION; FIMIX-PLS; MANAGEMENT RESEARCH; SEM; DESIGN; CHOICE Multiple languages Business Multiple languages
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/26191