Partial Least Squares Structural Equation Modeling: Rigorous Applications, Better Results and Higher Acceptance

By Joseph F. Hair, Christian M. Ringle, Marko Sarstedt. 2013

5,347 citations recorded by the source corpus.

Subfields: Communication, Organizational Behavior and Human Resource Management, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/1d72008bff410d4cafe36c676a64399e607528d8

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Citations in the corpus

Examining the influence of customer-to-customer electronic word-of-mouth on purchase intention in social networking sites (2019, background): “According to Hair, Ringle, and Sarstedt (2013), the methodological advances in Smart PLS can help researchers model relationships in a more flexible way, providing a more nuanced understanding of theoretical concepts.”
Entrepreneurial leadership, performance, and sustainability of micro-enterprises in Malaysia (2018, methodology): “The results of this analysis are reported as recommended by Hair, Ringle, and Sarstedt [89] for PLS modelling, which are inclusive of indicator reliability, internal consistency reliability, convergent validity, discriminant validity, Average Variance Extracted (AVE), effect size, path coefficient e”
Does entrepreneurship education and culture promote students’ entrepreneurial intention? The mediating role of entrepreneurial mindset (2021, methodology): “This study adopted the criteria from Hair et al. (2013) which the value of Q2 > 0 shows that the model is having predictive relevance value and vice versa.”
Entrepreneurial orientation and SME international performance: The mediating role of networking capability and experiential learning (2019, methodology): “, 2009), especially when the sample size is relatively small (Hair et al., 2013).”
Does entrepreneurial education matter for Indonesian students’ entrepreneurial preparation: The mediating role of entrepreneurial mindset and knowledge (2020, background): “In more detail, it is known that the loading value of the variables EE, EK, EM, and PE is greater than 0.70, which implies that these variables meet the convergent validity (Hair et al., 2013).”
Evaluation of measurment and structural model of the reflective model constructs in PLS – SEM (2016, background): “…squared loadings of the indicators associated with a particular construct (the sum of the squared loadings divided by the numbers of indicators) (Hair et al., 2013) The average variance shared between a construct and its measures should be greater than that shared with the other constructs in…”
A comparative study of CB-SEM and PLS-SEM for theory development in family firm research (2014, background): “theory development and testing (Hair et al., 2014; Ringle et al., 2013), permits examination of constructs and relationships in complex structural models.”
What make consumer sign up to PHEVs? Predicting Malaysian consumer behavior in adoption of PHEVs (2018, methodology): “…that the PLS approach should be used more because it can model latent constructs under conditions of non-normality in small to medium sample sizes (Hair et al., 2013), maximising the explained variance of the endogenous variables, and the prediction of values for latent variables using multiple…”