Book ChapterDOI
How to Write Up and Report PLS Analyses
Wynne W. Chin
- pp 655-690
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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
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The impact of corporate social responsibility on customer loyalty in hypermarkets: A new socially responsible strategy
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Impact of support from social network on entrepreneurial intention of fresh business graduates: A structural equation modelling approach
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Understanding the soft side of software projects: An empirical study on the interactive effects of social skills and political skills on complexity – performance relationship
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Factors Influencing the Adoption of Big Data Analytics in the Digital Transformation Era: Case Study of Jordanian SMEs
Abdalwali Lutfi,Adi Alsyouf,Mohammed Amin Almaiah,Mahmaod Alrawad,Ahmed Abdullah Khalil Abdo,Akif Lutfi Al-Khasawneh,Nahla Mohamad El Sayed Ibrahim,M. Saad +7 more
TL;DR: In this paper , the authors examined the influence of technological, organizational and environmental factors on big data adoption in the Jordanian SMEs context, using PLS-SEM for the analysis and found that the relative advantage, complexity, security, top management support, organizational readiness and government support influenced the adoption of BD, whilst pressure of competition and compatibility appeared to be of insignificant influence.
References
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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.
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