Marko Sarstedt

Research topics

• Technology Adoption and User Behaviour · 4 papers
• Customer Service Quality and Loyalty · 3 papers
• Advanced Text Analysis Techniques · 2 papers
• Psychometric Methodologies and Testing · 1 paper
• Technology and Data Analysis · 1 paper
• Consumer Behavior in Brand Consumption and Identification · 1 paper

Frequent co-authors

• Christian M. Ringle · 3 papers
• Joe F. Hair · 2 papers
• Jörg Henseler · 1 paper
• Joseph F. Hair · 1 paper
• Jeffrey J. Risher · 1 paper
• Lucas Hopkins · 1 paper
• Volker G. Kuppelwieser · 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…

4. Partial least squares structural equation modeling (PLS-SEM)European Business Review · 2014 · 11,719 citations

   Purpose – The authors aim to present partial least squares (PLS) as an evolving approach to structural equation modeling (SEM), highlight its advantages and limitations and provide an overview of recent research on the method across various fields. Design/methodology/approach –…