Capturing heterogeneity and PLS-SEM prediction ability: alliance governance and innovation

Title: Capturing heterogeneity and PLS-SEM prediction ability: alliance governance and innovation
Creator: Ratzmann, Martin; Gudergan, Siegfried P.; Bouncken, Ricarda
Relation: Journal of Business Research Vol. 69, Issue 10, p. 4593-4603
Publisher Link: http://dx.doi.org/10.1016/j.jbusres.2016.03.051
Publisher: Elsevier
Resource Type: journal article
Date: 2016
Description: .Whether the uses of PLS-SEM latent interaction effect (PLS-LIE), PLS prediction-oriented segmentation (PLS-POS), or PLS-PATHMOX approaches improve prediction ability remains unclear. The present study draws on holdout sample estimations to assess prediction ability for the three approaches. The illustrative empirical model focuses on examining the differences in innovation outcomes that coopetive alliances produce, in which three governance factors may affect the structural model parameter estimates reflecting these differences. The findings suggest improvements in prediction ability with the use of PLS-LIE and PLS-POS but not for PLS-PATHMOX.
Subject: PLS-POS; PLS-PATHMOX; alliance; innovation; governance; coopetition; heterogeneity
Identifier: http://hdl.handle.net/1959.13/1323674
Identifier: uon:24865
Identifier: ISSN:0148-2963
Language: eng
Reviewed

		Thumbnail	File	Description	Size	Format