Journal
JOURNAL OF BUSINESS RESEARCH
Volume 69, Issue 10, Pages 4593-4603Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.jbusres.2016.03.051
Keywords
PLS-POS; PLS-PATHMOX; Alliance; Innovation; Governance; Coopetition; Heterogeneity
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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 PIS-PATHMOX. (C) 2016 Elsevier Inc. All rights reserved.
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