Book ChapterDOI
How to Write Up and Report PLS Analyses
Wynne W. Chin
- pp 655-690
Reads0
Chats0
TLDR
A discussion of key differences and rationale that researchers can use to support their use of PLS is provided, followed by two examples from the discipline of Information Systems.Abstract:
The objective of this paper is to provide a basic framework for researchers interested in reporting the results of their PLS analyses. Since the dominant paradigm in reporting Structural Equation Modeling results is covariance based, this paper begins by providing a discussion of key differences and rationale that researchers can use to support their use of PLS. This is followed by two examples from the discipline of Information Systems. The first consists of constructs with reflective indicators (mode A). This is followed up with a model that includes a construct with formative indicators (mode B).read more
Citations
More filters
Book ChapterDOI
Partial Least Squares Path Analysis
TL;DR: This chapter explores whether PLS-PA software really possesses some “secret sauce” that makes it possible to generate estimates from weak data, or conversely, whether such imputed path structures may indeed be illusory.
Journal ArticleDOI
The impact of moral intelligence on green purchase intention
TL;DR: In this article, the authors present a survey of the state of the art in the field of bioinformatics and biomedicine, focusing on the effects of artificial intelligence.
Journal ArticleDOI
Do tourism applications’ quality and user experience influence its acceptance by tourists?
TL;DR: The Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) was adapted to investigate the determinants of users’ behavioral intention for mobile tourism applications according to the quality and user experience of tourism applications to improve the understanding regarding the acceptance of tourism apps.
Book ChapterDOI
Testing the Differential Impact of Structural Paths in PLS Analysis: A Bootstrapping Approach
TL;DR: It is shown that under data conditions of high kurtosis, bootstrapping is less likely to commit a Type I error of stating substantial differences among paths when none exist, and different conclusions are made between these two approaches.
M@n@gement
Achim Schmitt,Gilbert Probst,Michael L. Tushman,Jean-Luc Arrègle,Stewart Clegg,Philippe Monin,José Pla-Barber,Linda Rouleau,Michael Tushman,Olivier Roger Germain,Thibaut Bardon,Florence Villesèche,Martin G. Evans,Bernard Forgues +13 more
TL;DR: M@n@gement is a double-blind refereed journal where articles are published in their original language as soon as they have been accepted.
References
More filters
Book
Statistical Power Analysis for the Behavioral Sciences
TL;DR: The concepts of power analysis are discussed in this paper, where Chi-square Tests for Goodness of Fit and Contingency Tables, t-Test for Means, and Sign Test are used.
Journal ArticleDOI
Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
Claes Fornell,David F. Larcker +1 more
TL;DR: In this paper, the statistical tests used in the analysis of structural equation models with unobservable variables and measurement error are examined, and a drawback of the commonly applied chi square test, in additit...
Journal ArticleDOI
Cross-Validatory Choice and Assessment of Statistical Predictions
TL;DR: In this article, a generalized form of the cross-validation criterion is applied to the choice and assessment of prediction using the data-analytic concept of a prescription, and examples used to illustrate the application are drawn from the problem areas of univariate estimation, linear regression and analysis of variance.
Journal ArticleDOI
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
TL;DR: A new latent variable modeling approach is provided that can give more accurate estimates of interaction effects by accounting for the measurement error that attenuates the estimated relationships.
Related Papers (5)
Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
Claes Fornell,David F. Larcker +1 more