Christian M. Ringle

Research topics

• Technology Adoption and User Behaviour · 3 papers
• Customer Service Quality and Loyalty · 2 papers
• Psychometric Methodologies and Testing · 1 paper
• Technology and Data Analysis · 1 paper
• Advanced Text Analysis Techniques · 1 paper
• Consumer Behavior in Brand Consumption and Identification · 1 paper

Frequent co-authors

• Marko Sarstedt · 3 papers
• Jörg Henseler · 1 paper
• Joseph F. Hair · 1 paper
• Jeffrey J. Risher · 1 paper
• Joe F. Hair · 1 paper

Papers

1. A new criterion for assessing discriminant validity in variance-based structural equation modelingJournal of the Academy of Marketing Science · 2014 · 37,516 citations

   Discriminant validity assessment has become a generally accepted prerequisite for analyzing relationships between latent variables. For variance-based structural equation modeling, such as partial least squares, the Fornell-Larcker criterion and the examination of cross-loadings are the dominant approaches for evaluating discriminant…

2. When to use and how to report the results of PLS-SEMEuropean Business Review · 2018 · 26,819 citations

   Purpose The purpose of this paper is to provide a comprehensive, yet concise, overview of the considerations and metrics required for partial least squares structural equation modeling (PLS-SEM) analysis and result reporting. Preliminary considerations are summarized first, including reasons for…

3. PLS-SEM: Indeed a Silver BulletThe Journal of Marketing Theory and Practice · 2011 · 21,549 citations

   Structural equation modeling (SEM) has become a quasi-standard in marketing and management research when it comes to analyzing the cause-effect relations between latent constructs. For most researchers, SEM is equivalent to carrying out covariance-based SEM (CB-SEM). While marketing researchers have…