A comparative study of CB-SEM and PLS-SEM for theory development in family firm research

By Claudia Binz Astrachan, V. Patel, Gabrielle Wanzenried. 2014

760 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/f008a480db883643a91de93ad56eada56ba73c00

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Citations in the corpus

Social Commerce Success: Antecedents of Purchase Intention and the Mediating Role of Trust (2020, methodology): “SEM based methods are considered very convenient when trying to develop and extend theory, particularly in the case of second or third order factors as they provide a deeper understanding of the relations that might not be evident initially (Astrachan, Patel, and Wanzenried 2014).”
Big Data Analytics Capabilities and Innovation: The Mediating Role of Dynamic Capabilities and Moderating Effect of the Environment (2019, neutral): “In addition, PLS-SEM enables the analysis of indirect and total effects, making it possible to not only simultaneously assess the relationships between multi-item constructs, but also to reduce the overall error associated with the model (Astrachan, Patel, & Wanzenried, 2014).”
PLS-SEM: Looking Back and Moving Forward (2014, background): “As a consequence, PLS-SEM has been increasingly adopted by social science disciplines (e.g., Hair et al., 2012b; Hair et al., 2012c; Lee et al., 2011; Peng and Lai, 2012; Ringle et al., 2012), experiencing increasing dissemination in various sub-disciplines (e.g., family business research; Binz Astr”
The Impact of Entrepreneurial Business Networks on Firms’ Performance Through a Mediating Role of Dynamic Capabilities (2019, methodology): “The PLS-SEM is a path for the statistical modeling technique, and modeling the complex multivariate analysis to examine the relationships between latent variables [92,93].”
The Effect of Perceived Organizational Support and Transformational Leadership on Affective Commitment and Employee Performance (2020, methodology): “The SEM-based analysis technique is very convenient in developing, expanding and advancing theories, especially when second order and even third-order factors contribute a better understanding of the relationship that might not be apparent at first (Astrachan et al., 2014).”
Family Firm Reputation and Humanization: Consumers and the Trust Advantage of Family Firms Under Different Conditions of Brand Familiarity (2018, methodology): “This leaves only six articles that took the consumers’ perspective and assessed family firms’ perceived trustworthiness directly (Beck & Kenning, 2015; Binz Astrachan et al., 2014; Binz et al., 2013; Carrigan & Buckley, 2008; Lude & Prügl, 2018b; Orth & Green, 2009).”
Achieving superior organizational performance via big data predictive analytics: A dynamic capability view (2019, methodology): “, have deployed Structural Equation Modeling (SEM) for data analysis (Astrachan et al., 2014).”
The role of block chain technology in circular economy practices to improve organisational performance (2021, background): “Astrachan, Patel, and Wanzenried (2014) are of the opinion that the PLS-SEM deals with multiple indicator variables well, and it can handle the non-normal data issue because of the ability to accommodate the intricate model’s distributions.”