Theorien Und Methoden Der Betriebswirtschaft 2009
DOI: 10.15358/9783800644377_564
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Einführung in die varianzbasierte Strukturgleichungsmodellierung. Grundlagen, Modellevaluation und Interaktionseffekte am Beispiel von SmartPLS

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Cited by 16 publications
(9 citation statements)
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“…The R 2 measure of the endogenous construct on national innovativeness is 0.58, which is good to substantial (Henseler, Ringle & Sinkovics, ; Schloderer, Ringle & Sarstedt, ). Significance of the path models has been tested by running 1,000 bootstrap samples.…”
Section: Resultsmentioning
confidence: 99%
“…The R 2 measure of the endogenous construct on national innovativeness is 0.58, which is good to substantial (Henseler, Ringle & Sinkovics, ; Schloderer, Ringle & Sarstedt, ). Significance of the path models has been tested by running 1,000 bootstrap samples.…”
Section: Resultsmentioning
confidence: 99%
“…Given the objectives of this study, we used SEM based on the PLS approach for measurement, validation and testing of the structural model. We used SmartPLS version 3.0 (Ringle et al, 2015), because the PLS approach enabled us to estimate a complex model with many latent variables, indicator variables and structural paths. The variance-based PLS method is preferable to the covariance-based alternative when the construct modeling is established as a composite model of multiple indicators and multiple causes (MIMIC), and the conceptualization of the measurement model is reflective (Sarstedt et al, 2016).…”
Section: Discussionmentioning
confidence: 99%
“…We applied the second-order construct type II or higher component model (HCM) type reflective-formative measurement model (Ringle et al, 2015). To analyze the relationships between the first-order and second-order constructs, the following steps were carried out.…”
Section: Discussionmentioning
confidence: 99%
“…The number next to the arrow describes the relationship between the latent variable and the corresponding indicator. This number is to be interpreted as a factor load and indicates how strong the reliability is to the latent variable [24].…”
Section: Dependence Between Data Quality and User Acceptancementioning
confidence: 99%