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How to Write Up and Report PLS Analyses

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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).

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Managing online service recovery : procedures, justice and customer satisfaction

TL;DR: In this paper, the authors investigate the impact of two online service recovery strategies (online information and technology-mediated communication) on customer satisfaction, switching and word of mouth intentions, using a scenario-based experiment.
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Customer empowerment

TL;DR: It is advocated that government agencies must consider their customers' perceptions of empowerment as a key causal mechanism in deriving value from e-government systems and an associated evaluation tool that measures the e- government performance from a customer empowerment perspective is proposed.
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Examining stakeholders’ influence on environmental responsibility of micro, small and medium-sized enterprises and its outcomes

TL;DR: In this paper, the authors investigated the relationship between stakeholders' influence and environmental responsibility of micro, small and medium-sized enterprises (MSMEs), and its consequent outcomes in an emerging economy.
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The Impact of Managerial and Adaptive Capabilities to Stimulate Organizational Innovation in SMEs: A Complementary PLS–SEM Approach

TL;DR: This study found that all of the dimensions of managerial capability and adaptive capability help to develop and improve the performance of organizational innovation in SMEs.
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Customer engagement, consumption and firm performance in a multi-actor service eco-system: The moderating role of resource integration

TL;DR: In this article, the authors investigate how multiple participants, namely employees, business partners, focal and fellow customers, social media communities and technology, interact with each other and how these multi-actor exchanges influence firms' performance.
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

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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