Advanced Issues in Partial Least Squares Structural Equation Modeling

By Joseph F. Hair, Marko Sarstedt, Christian M. Ringle, Siegfried P. Gudergan. 2017

3,196 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/29206db3a034547ec5c17f4202b8f4a2be0adfd1

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Citations in the corpus

Sampling weight adjustments in partial least squares structural equation modeling: guidelines and illustrations (2020, background): “This refers to observations of a sample that can be assigned to segments a priori, on the basis of observable characteristics such as geographic or demographic traits (Hair et al., 2018, see Chapter 4).”
The panic buying behavior of consumers during the COVID-19 pandemic: Examining the influences of uncertainty, perceptions of severity, perceptions of scarcity, and anxiety (2021, methodology): “The results showed that the Cronbach’s alpha and composite reliable values of all the variables were greater than 0.830 and 0.880 respectively, which are above the threshold value of 0.7 as proposed by Hair et al. (2017).”
Multigroup Analysis using SmartPLS: Step-by-Step Guidelines for Business Research (2020, unknown): “Each of these approaches has its advantages and disadvantages (see Hair et al., 2018).”
Brand engagement in self-concept (BESC), value consciousness and brand loyalty: a study of generation Z consumers in Malaysia (2020, methodology): “Therefore, we assessed the MICOM (measurement invariance of composite models) prior to the multi-group analysis (Hair et al., 2017; Henseler et al., 2016; Sarstedt et al., 2011).”
Perceived public support and entrepreneurship attitudes: A little reciprocity can go a long way! (2020, background): “First, compared to Covariance-based SEM (CB-SEM), PLS-SEM is able to explain more variance in the dependent variable (Hair et al., 2017).”
Structural model robustness checks in PLS-SEM (2020, methodology): “When the relationship between two constructs is nonlinear, the size of the effect between two constructs not only depends on the magnitude of the change in the exogenous construct but also on its value (Hair et al., 2018b).”
Investigating the role of social media marketing on value co-creation and engagement: An empirical study in China and Hong Kong (2020, methodology): “five first-order SMM dimensions is not an issue (Hair et al., 2018).”
Big Five personality traits impact on entrepreneurial intention: the mediating role of entrepreneurial alertness (2021, methodology): “The loading must be (0.70) or higher (Hair et al., 2017).”
The effect of social influence, trust, and entertainment value on social media use: Evidence from Pakistan (2020, methodology): “PLS is the most suitable technique for exploratory studies (Hair et al., 2017a; Sarstedt, Ringle, & Hair, 2017), and considering the nature of this research, PLS was considered to be the best method for analysis.”
Do Food Image and Food Neophobia Affect Tourist Intention to Visit a Destination? The Case of Australia (2019, background): “Results showed the outer loading and outer weight invariance across groups, suggesting that the neophobia construct meanings and measurements were consistent, and measurement invariance was established (Hair et al. 2018).”
Partial least squares structural equation modeling using SmartPLS: a software review (2019, methodology): “The user interface also allows for including quadratic effects (Hair et al. 2018; Kumar and Purani 2018) and moderating effects without having to process the data outside SmartPLS, for example, to generate interaction terms (Becker et al.”