An updated and expanded assessment of PLS-SEM in information systems research

By Joseph F. Hair, Carole L. Hollingsworth, A. Randolph, Alain Yee-Loong Chong. Industrial management & data systems, 2017

3,511 citations recorded by the source corpus.

Subfields: Information Systems and Management, Management Information Systems, Organizational Behavior and Human Resource Management

View Paper: https://www.semanticscholar.org/paper/15d9bfcfeeb49dd09b357460dba0a4cd672d55c5

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In Information Systems and Management

In Management Information Systems

In Organizational Behavior and Human Resource Management

Citations in the corpus

On Comparing Results from CB-SEM and PLS-SEM: Five Perspectives and Five Recommendations (2017, methodology): “Similarly, Hair et al. (2017d) have shown that unit-weight composites outperform indicator-weighting methods such as PLS-SEM in terms of bias and consistency when sample size is small and measurement models have many indicators.”
Developing a Holistic Success Model for Sustainable E-Learning: A Structural Equation Modeling Approach (2021, methodology): “Accordingly, PLS-SEM has been used by many scholars in various fields such as e-commerce [75–81], information systems [82], e-government [83,84], and educational technology-related research [85–88].”
Sampling weight adjustments in partial least squares structural equation modeling: guidelines and illustrations (2020, methodology): “Hence, to eschew such bias, the observations within a group must fulfil the minimum requirements of the power analyses (e.g. Hair et al., 2017b; Marcoulides & Chin, 2013) or the minimum sample size generated from the inverse square root method as well as the gamma-exponential method (Kock & Hadaya,…”
Impact of supply chain digitalization on supply chain resilience and performance: A multi-mediation model (2023, background): “8, indicating that the scale has good internal consistency (Bagozzi et al., 1981; Hair et al., 2017).”
Factors Influencing Entrepreneurial Intention of University Students in China: Integrating the Perceived University Support and Theory of Planned Behavior (2021, methodology): “The reliability of internal consistency is usually assessed based on two indicators, that is, the composite reliability and the Cronbach α [77].”