2016
DOI: 10.1016/j.emj.2016.05.006
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Choosing PLS path modeling as analytical method in European management research: A realist perspective

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Cited by 476 publications
(384 citation statements)
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References 43 publications
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“…More specifically, SmartPLS 3 [116,117] was used to estimate the research model (for detailed reasons of why and when to use PLS-SEM, see for example, Richter, Cepeda, Roldán, & Ringle [118]). Despite a surprising level of animosity towards PLS-SEM [118][119][120][121], PLS-SEM has been widely accepted by the scholarly community, including authors, reviewers, and editors [122][123][124][125]. The following points summarize why this study adopted PLS-SEM instead of Linear structural relations (LISREL) or Analysis of a moment structures (AMOS) as more suitable statistical techniques: (1) the structural model is complex, and contains four series of dependent relationships [118,126]; (2) the research objective of the structural model is prediction oriented, and explaining the variance in key target constructs [126,127]; (3) this study analyzes the relationships between managerial capability, adaptive capability, and organizational innovation; which is being considered in the initial stages of theory development, therefore motivated us to investigate the related phenomena in this emerging area [118]; (4) the sample size (n = 210) is also believed to be relatively small [127], finally; (5) this study also takes advantage of PLS-SEM in terms of its less rigorous requirements for restrictive assumptions, which motivates researchers to develop and estimate such models through enabling them to avoid additional limiting constraints [117,128].…”
Section: Empirical Results and Analysismentioning
confidence: 99%
“…More specifically, SmartPLS 3 [116,117] was used to estimate the research model (for detailed reasons of why and when to use PLS-SEM, see for example, Richter, Cepeda, Roldán, & Ringle [118]). Despite a surprising level of animosity towards PLS-SEM [118][119][120][121], PLS-SEM has been widely accepted by the scholarly community, including authors, reviewers, and editors [122][123][124][125]. The following points summarize why this study adopted PLS-SEM instead of Linear structural relations (LISREL) or Analysis of a moment structures (AMOS) as more suitable statistical techniques: (1) the structural model is complex, and contains four series of dependent relationships [118,126]; (2) the research objective of the structural model is prediction oriented, and explaining the variance in key target constructs [126,127]; (3) this study analyzes the relationships between managerial capability, adaptive capability, and organizational innovation; which is being considered in the initial stages of theory development, therefore motivated us to investigate the related phenomena in this emerging area [118]; (4) the sample size (n = 210) is also believed to be relatively small [127], finally; (5) this study also takes advantage of PLS-SEM in terms of its less rigorous requirements for restrictive assumptions, which motivates researchers to develop and estimate such models through enabling them to avoid additional limiting constraints [117,128].…”
Section: Empirical Results and Analysismentioning
confidence: 99%
“…First, we had a composite measurement model. Both theoretical studies [97][98][99] and empirical simulation studies [100,101] recommend and support the use of PLS for composite models. Second, as per Chin's [102] indications, we used PLS because we employed latent variable scores in subsequent analysis for modeling a second-order multidimensional construct, applying the higher-order component two-stage approach [103].…”
Section: Discussionmentioning
confidence: 99%
“…PLS was therefore used to assess the measurement model-the reliability and validity of the constructs' measures-and to estimate the structural model-the relationships modeled between constructs. The use of PLS is justified by the following reasons from [61]: (i) the research model has reflective variables that are used to define a state where perceived variables are equally dependent upon another variable which is not itself observed. As the model has reflective variables they will be analyzed using Mode A consistent; (ii) the research model uses non-normal data; and (iii) the study utilizes an exploratory analysis.…”
Section: Discussionmentioning
confidence: 99%