How to Write Up and Report PLS Analyses

By Wynne W. Chin. 2010

5,340 citations recorded by the source corpus.

Subfields: Information Systems and Management, Management Information Systems

View Paper: https://www.semanticscholar.org/paper/13df338955cc5bb143dcdc08c745267c40bc266f

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Citations in the corpus

Effects of perceived service quality, website quality, and reputation on purchase intention: The mediating and moderating roles of trust and perceived risk in online shopping (2021, methodology): “The product indicator technique was deployed to identify and assess the power of the moderating effect of perceived risk on trust in online shopping and purchase intention (Chin, 2010).”
Partial least squares structural equation modeling (PLS-SEM): A useful tool for family business researchers (2014, methodology): “Further examples include studies by Chua et al. (1999), Vallejo (2009) and Casillas and Acedo (2005).”
Influence of sensory stimuli on brand experience, brand equity and purchase intention (2017, positive): “This methodology was selected because it is robust when working with non-normal data and when research is at an early stage of theoretical development, testing and validating an exploratory model (Chin 2010).”
Proactive Environmental Strategy, Technological Eco-Innovation and Firm Performance—Case of Poland (2016, methodology): “The method of confidence intervals (CI) [66] with bootstrap estimation (number of subsamples equals 5000) was employed.”
Emotional intelligence, job satisfaction, well-being and engagement: explaining organisational commitment and turnover intentions in policing (2012, methodology): “We evaluated the quality of the structural model by using R-square of the dependent variables, the Stone-Geisser Q-square test for predictive relevance (Chin, 2010) and the global criterion for goodness of fit (Tenenhaus et al.”
Evaluation of measurment and structural model of the reflective model constructs in PLS – SEM (2016, methodology): “…less than 0.25 (Hair et al., 2014) In assessing the PLS path modelling have to employ the bootstrapping technique for testing the significance of all the path coefficients because in PLS analysis, bootstrapping is the only mechanism for examining the significance of path coefficients (Chin, 2010).”