Partial Least Squares Path Modelling (PLSPM) is a popular technique for estimating structural equation models in the social sciences, and is frequently presented as an alternative to covariance-based analysis as being especially suited for predictive modeling. While existing research on PLSPM has focused on its use in causalexplanatory modeling, this paper follows two recent papers at ICIS 2012...

Structural equation modeling (SEM) has dominated causal analysis in the social and behavioral sciences since the 1960s. Currently, many SEM practitioners are having diiculty articulating the causal content of SEM and are seeking foundational answers. Recent developments in the areas of graphical models and the logic of causality show potential for alleviating such diiculties and thus for revita...

This research investigated the impact the external environment, firm characteristics and firm strategy have on export performance. To this end, a survey was administered to 448 large Brazilian exporters of manufactured products. A structural equation modeling (SEM) approach was used to fit the conceptual model to empirical data. An extensive set of procedures for the validation of measurement m...

Structural equation modeling (SEM) is an important statistical tool for evaluating complex relations in several research areas. In epidemiology, the use and discussion of SEM have been limited thus far. This article presents basic principles and concepts in SEM, including an application using epidemiological data analysis from a study on the determinants of cognitive development in young childr...

The combination of programmatic theory and structural equation modeling (SEM) can act as the basic intellectual machinery for designing and evaluating behavioral interventions. As an example of the integration, we consider a case study of a randomized experiment to reduce sexual risk taking, the WINGS Project. Barriers to combining systematic use of SEM with programmatic theory for program impr...

Innovation is being view from four areas of innovation, product, service, technology, and marketing. Whereas customer loyalty is composed of customer expectation, perceived quality, perceived value, corporate image, customer satisfaction, customer trust/confidence, customer commitment, customer complaint, and customer loyalty. This study aimed to investigate the influence of innovation factors ...