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Hierarchical latent variable models in PLS-SEM: guidelines for using reflective-formative type models
TLDR
We present a typology of (second-order) hierarchical latent variable models that include formative relationships in partial least squares structural equation modeling (PLS-SEM). Expand
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Discovering Unobserved Heterogeneity in Structural Equation Models to Avert Validity Threats
TLDR
A large proportion of information systems research is concerned with developing and testing models pertaining to complex cognition, behaviors, and outcomes of individuals, teams, organizations, and other social systems that are involved in the development, implementation, and utilization of information technology. Expand
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Predictive Validity and Formative Measurement in Structural Equation Modeling: Embracing Practical Relevance
TLDR
We explain how PLS practices, deriving, at least in part, from attempts to mimic factor-based methods, have hamstrung the potential of PLS by reconsidering the institutionalized practice of mapping formative measurement to Mode B estimation of outer relations. Expand
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Uncovering and Treating Unobserved Heterogeneity with FIMIX-PLS: Which Model Selection Criterion Provides an Appropriate Number of Segments?
Since its first introduction in the Schmalenbach Business Review, Hahn et al.’s (2002) finite mixture partial least squares (FIMIX-PLS) approach to response-based segmentation in variance-basedExpand
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How to Specify, Estimate, and Validate Higher-Order Constructs in PLS-SEM
TLDR
This paper explains how to evaluate the results of higher-order constructs in PLS-SEM using the repeated indicators and the two-stage approaches, which feature prominently in applied social sciences research. Expand
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Segmentation of PLS path models by iterative reweighted regressions
TLDR
This research introduces a new segmentation approach to variance-based SEM using partial least squares path modeling (PLS). Expand
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Conflating Antecedents and Formative Indicators: A Comment on Aguirre-Urreta and Marakas
TLDR
Aguirre-Urreta and Marakas' 2014 study does not support valid inference about the behavior of PLS path modeling with respect to endogenous formatively measured constructs. Expand
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Accounting for sampling weights in PLS path modeling: Simulations and empirical examples
Abstract Applications of partial least squares (PLS) path modeling usually focus on survey responses in management, social science, and market research studies, with researchers using their collectedExpand
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ESTIMATING MODERATING EFFECTS IN PLS-SEM AND PLSc-SEM: INTERACTION TERM GENERATION*DATA TREATMENT
TLDR
We investigate the impact of different data treatment options on the performance of PLS-SEM and PLSc-sEM and propose recommendations for researchers wishing to estimate moderating effects. Expand
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Does Chain Labeling Make Private Labels More Successful?
Some retailers use their chain names to identify their private labels. We find that chain labeling increases the likelihood that consumers correctly recognize a private label as belonging to aExpand
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