Partial least squares structural equation modeling (PLS-SEM): A useful tool for family business researchers

By Marko Sarstedt, Christian M. Ringle, Donna Smith, Russell Reams, Joseph F. Hair. 2014

2,080 citations recorded by the source corpus.

Subfields: Management of Technology and Innovation, Organizational Behavior and Human Resource Management, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/34bc611a4f77fb7f21016d89c6d1bba7ecaeb349

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In Management of Technology and Innovation

In Organizational Behavior and Human Resource Management

In Strategy and Management

Citations in the corpus

Personality traits and theory of planned behavior comparison of entrepreneurial intentions between an emerging economy and a developing country (2019, methodology): “In most business management studies, SEM has been the most-preferred method (Sarstedt et al., 2014).”
PLS-SEM: Looking Back and Moving Forward (2014, methodology): “While these two articles (Bentler et al., 2014; Dijkstra, 2014) are more technical in nature, the third article (Sarstedt et al., 2014a) sheds further light on specific subject areas Rigdon (2012) discusses by commenting on the distinction between explanatory modeling and predictive modeling, and…”
A comparative study of CB-SEM and PLS-SEM for theory development in family firm research (2014, background): “and their indicators are called in PLS-SEM (Sarstedt et al., 2014).”
Robust partial least squares path modeling (2019, result): “Its performance has been investigated for various population models, for normally and non-normally distributed data and in comparison to other estimators (Dijkstra and Henseler 2015a; Hair et al. 2017b; Sarstedt et al. 2016; Takane and Hwang 2018).”
The role of wisdom leadership in increasing job performance: Evidence from the Egyptian tourism sector (2017, methodology): “To evaluate the models' predictive validity, a blindfolding procedure with an omission distance of seven was performed (Sarstedt et al., 2014).”
ASSESSING REFLECTIVE MODELS IN MARKETING RESEARCH: A COMPARISON BETWEEN PLS AND PLSc ESTIMATES (2018, methodology): “…with its rising popularity, researchers continue to call for more rigorous assessment on its estimation procedures (e.g., Hair et al., 2013; Rigdon et al., 2014; Sarstedt et al., 2014a) to address the possible problems such as false positive (Cohen, 1988) and estimation bias (Chang et al., 2010).”