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
Journal ArticleDOI
Antecedents of Entrepreneurial Intention among Young People: Model and Regional Evidence
José Alberto Martínez-González,Urszula Kobylińska,Francisco J. García-Rodríguez,Lukasz Nazarko +3 more
TL;DR: In this paper, a causal model of the formation of the entrepreneurial intention among young adults in Spain and Poland was designed using the Structural Equation Modeling (PLS) methodology, which showed that subjective variables (beliefs, social norms, values) initiate the chain of effects that influence the action variables (motivation, self-efficacy, intention).
Journal ArticleDOI
Perceived Risk Factors Influence on Intention to Continue Using Internet Banking among Malaysians
TL;DR: In this paper, the authors identify which are the risk factors that influence the intention to continue using Internet banking in Malaysia and propose a self-administered questionnaire which employed the drop-off and pick-up (DOPU) technique.
Journal ArticleDOI
Impact of IT integration on the firm’s knowledge absorption and desorption
TL;DR: This research provides a theory of IT integration impact on the firm’s knowledge absorption and desorption and introduces the concept of desorptive capacity in the IS research and provides a scale for its measure.
Journal ArticleDOI
Construction project performance areas for Indian construction projects
TL;DR: In this paper, the authors have identified three performance areas of construction projects: time, cost, and quality as performance areas which most of the researchers have acknowledged, however, there are several shortcomings of these areas.
Journal ArticleDOI
Centralization and the success of ERP implementation
Madhavi Latha Nandi,Ajith Kumar +1 more
TL;DR: The study highlights the impact of a centralized management structure on success of ERP implementation and in doing so, demarcates the varied influence of two types of centralization.
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