A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic - Mail Emotion/Adoption Study

By Wynne W. Chin, Barbara L. Marcolin, Peter R. Newsted. Information systems research, 2003

6,659 citations recorded by the source corpus.

Subfields: Communication, Information Systems and Management, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/0c74c6e1a0c10b965415af1030ab358635fc7b48

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Citations in the corpus

Purchase intention toward organic food among young consumers using theory of planned behavior: role of environmental concerns and environmental awareness (2020, background): “On the other hand, Chin, Marcolin, and Newsted (2003) stated that a small effect size does not necessarily mean that the causal preservative effect is irrelevant.”
Credibility of Electronic Word-of-Mouth: Informational and Normative Determinants of On-line Consumer Recommendations (2009, methodology): “Post-hoc analyses were performed by running further models with the individual driver variables of involvement and the two types of prior knowledge using the PLS–product indicator approach suggested by Chin, Marcolin, and Newsted [12].”
Trustworthiness in mHealth information services: An assessment of a hierarchical model with mediating and moderating effects using partial least squares (PLS) (2011, methodology): “In Figure 4B, we present the moderation analysis applying PLS product-indicator approach (Chin et al. 2003) to detect the moderating effect of trustworthiness on the relationship between consumer trust and continuance intentions.”
Talk Up or Criticize? Customer Responses to WOM About Competitors During Social Interactions (2014, neutral): “Since formative indicators are not assumed to reflect the same underlying construct, the product indicators will not necessarily tap into the same underlying interaction effect (Chin et al., 2003).”
Partial Least Squares (PLS) Methods: Origins, Evolution, and Application to Social Sciences (2011, background): “Therefore, PLS Regression may be more appropriate for predictive purposes (Chin et al., 2003).”
Understanding and Predicting Electronic Commerce Adoption: An Extension of the Theory of Planned Behavior (2006, methodology): “In PLS, higher-order factors can be approximated using two common procedures (Chin et al. 2003).”
An assessment of value creation in mobile service delivery and the moderating role of time consciousness (2007, methodology): “Using an incremental F test (Chin et al. 2003; Pedhazur 1997), we ﬁnd that the (cid:5) R 2 of .03 is statistically signiﬁcant at α =.05 ( F (5,364)=4.13 [ p <.001]).”