Finite Mixture Partial Least Squares Analysis: Methodology and Numerical Examples

Ringle, Christian M.; Wende, Sven; Will, Alexander

doi:10.1007/978-3-540-32827-8_9

Cited by 268 publications

(246 citation statements)

References 32 publications

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“…A value higher than the cutting point of 0.5 shows that the set of structural equations is well defined, offers a good representation of the dataset and is valid with a «moderate» fitness [66].…”

Section: Discussionmentioning

confidence: 99%

The impact of business analytics on supply chain performance

Trkman

McCormack

Oliveira

et al. 2010

Decision Support Systems

380

233

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The paper investigates the relationship between analytical capabilities in the plan, source, make and deliver area of the supply chain and its performance using information system support and business process orientation as moderators. Structural equation modeling employs a sample of 310 companies from different industries from the USA, Europe, Canada, Brazil and China. The findings suggest the existence of a statistically significant relationship between analytical capabilities and performance. The moderation effect of information systems support is considerably stronger than the effect of business process orientation. The results provide a better understanding of the areas where the impact of business analytics may be the strongest.

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Section: Discussionmentioning

confidence: 99%

The impact of business analytics on supply chain performance

Trkman

McCormack

Oliveira

et al. 2010

Decision Support Systems

380

233

View full text Add to dashboard Cite

show abstract

“…These approaches can be extended even further by examining the extent to which individuals use specific models and under what circumstances. In addition, the field is advancing considerably, to the extent that one can apply latent class and Bayesian structures to structural equations modeling to build more complex models that may allow us to capture the multilevel and bidirectional aspects of culture (e.g., Ringle, Wende, & Will, 2010;Vidaurre, van Gerven, Bielza, Larrañaga, & Heskes, 2013).…”

Section: Rethinking Culture Methodologicallymentioning

confidence: 99%

Conceptualizing and measuring culture in international business and management: From challenges to potential solutions

et al. 2015

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Understanding the influence of culture on business operations has been one of the most enduring components of international business (IB) and international management (IM) theorizing and empirical investigation. While several critiques and debates questioned the significant progress made in this domain, the special issue we introduce here is meant to demonstrate that further advancement on how we conceptualize and measure culture is not only needed, but also possible. We provide an overview of past and current approaches in the measurement of culture in IB/IM and the challenges associated with these approaches, and emphasize the important, yet insufficiently acknowledged, link between the theoretical conceptualization of culture and its measurement. We then introduce the four articles included in the special issue and highlight how they break away from the "addiction" to approaches that have been very useful in getting where we are today, but that might not always be useful in advancing knowledge beyond what we already know. Last but not the least, we offer our own perspective on promising directions in conceptually and methodologically rethinking the study of culture in IB and IM.

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“…According to Ringle et al (2010), the non-parametric procedure of SEM can execute the analysis using small sample size, and does not require normal distribution. These two requirements are the main reasons why social science researchers are switching to VB-SEM for their analysis.…”

Section: Introductionmentioning

confidence: 99%

Parametric and Non Parametric Approach in Structural Equation Modeling (SEM): The Application of Bootstrapping

Awang¹,

Afthanorhan²,

Asri³

2015

MAS

378

390

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Lately, there was some attention for the Variance Based SEM (VB-SEM) against that of Covariance Based SEM (CB-SEM) from social science researches regarding the fitness indexes, sample size requirement, and normality assumption. Not many of them aware that VB-SEM is developed based on the non-parametric approach compared to the parametric approach of CB-SEM. In fact the fitness of a model should not be taken lightly since it reflects the behavior of data in relation to the proposed model for the study. Furthermore, the adequacy of sample size and the normality of data are among the main assumptions of parametric test itself. This study intended to clarify the ambiguities among the social science community by employing the data-set which do not meet the fitness requirements and normality assumptions to execute both CB-SEM and VB-SEM. The findings reveal that the result of CB-SEM with bootstrapping is almost similar to that of VB-SEM (bootstrapping as usual). Therefore, the failure to meet the fitness and normality requirements should not be the reason for employing Non-Parametric SEM.

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Finite Mixture Partial Least Squares Analysis: Methodology and Numerical Examples

Cited by 268 publications

References 32 publications

The impact of business analytics on supply chain performance

The impact of business analytics on supply chain performance

Conceptualizing and measuring culture in international business and management: From challenges to potential solutions

Parametric and Non Parametric Approach in Structural Equation Modeling (SEM): The Application of Bootstrapping

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