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

Journal Publication ResearchOnline@JCU
Ratzmann, Martin;Gudergan, Siegfried P.;Bouncken, Ricarda
Abstract

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.

Journal

Journal of Business Research

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N/A

Volume

69

ISBN/ISSN

1873-7978

Edition

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Issue

10

Pages Count

11

Location

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Publisher

Elsevier Inc.

Publisher Url

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Publisher Location

N/A

Publish Date

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Url

N/A

Date

N/A

EISSN

N/A

DOI

10.1016/j.jbusres.2016.03.051