Standout Papers
- A new criterion for assessing discriminant validity in variance-based structural equation modeling (2014)
- PLS-SEM: Indeed a Silver Bullet (2011)
- When to use and how to report the results of PLS-SEM (2018)
- A primer on partial least squares structural equation modeling (PLS-SEM) (2014)
- Partial least squares structural equation modeling (PLS-SEM) (2014)
- An assessment of the use of partial least squares structural equation modeling in marketing research (2011)
- Partial Least Squares Structural Equation Modeling: Rigorous Applications, Better Results and Higher Acceptance (2013)
- Common Beliefs and Reality About PLS (2014)
- Predictive model assessment in PLS-SEM: guidelines for using PLSpredict (2019)
- Testing measurement invariance of composites using partial least squares (2016)
- Advanced Issues in Partial Least Squares Structural Equation Modeling (2017)
- How to Specify, Estimate, and Validate Higher-Order Constructs in PLS-SEM (2019)
- Mirror, mirror on the wall: a comparative evaluation of composite-based structural equation modeling methods (2017)
- The Use of Partial Least Squares Structural Equation Modeling in Strategic Management Research: A Review of Past Practices and Recommendations for Future Applications (2012)
- Partial least squares structural equation modeling (PLS-SEM): A useful tool for family business researchers (2014)
- Estimation issues with PLS and CBSEM: Where the bias lies! (2016)
- Goodness-of-fit indices for partial least squares path modeling (2012)
- Partial least squares structural equation modeling in HRM research (2018)
- Guidelines for choosing between multi-item and single-item scales for construct measurement: a predictive validity perspective (2012)
- An assessment of the use of partial least squares structural equation modeling (PLS-SEM) in hospitality research (2017)
- Heuristics versus statistics in discriminant validity testing: a comparison of four procedures (2019)
- Rethinking some of the rethinking of partial least squares (2019)
- Gain more insight from your PLS-SEM results (2016)
- Identifying and treating unobserved heterogeneity with FIMIX-PLS: part I – method (2015)
- Addressing Endogeneity in International Marketing Applications of Partial Least Squares Structural Equation Modeling (2018)
- Structural model robustness checks in PLS-SEM (2019)
- Partial Least Squares: The Better Approach to Structural Equation Modeling? (2012)
- On Comparing Results from CB-SEM and PLS-SEM: Five Perspectives and Five Recommendations (2017)
- Progress in partial least squares structural equation modeling use in marketing research in the last decade (2022)
- PLS-SEM’s most wanted guidance (2022)
- Partial least squares structural equation modeling using SmartPLS: a software review (2019)
- On the Emancipation of PLS-SEM: A Commentary on Rigdon (2012) (2014)
- Beyond a tandem analysis of SEM and PROCESS: Use of PLS-SEM for mediation analyses! (2020)
- A Concise Guide to Market Research: The Process, Data, and Methods Using IBM SPSS Statistics (2011)
- Editor's comments: a critical look at the use of PLS-SEM in MIS quarterly (2012)
- Executing and interpreting applications of PLS-SEM: Updates for family business researchers (2020)
- How collinearity affects mixture regression results (2014)
- When predictors of outcomes are necessary: guidelines for the combined use of PLS-SEM and NCA (2020)
- Convergent validity assessment of formatively measured constructs in PLS-SEM (2018)
- The combined use of symmetric and asymmetric approaches: partial least squares-structural equation modeling and fuzzy-set qualitative comparative analysis (2021)
- “PLS-SEM: indeed a silver bullet” – retrospective observations and recent advances (2022)
- A perspective on using partial least squares structural equation modelling in data articles (2023)
- Methodological research on partial least squares structural equation modeling (PLS-SEM) (2019)
- Internet research using partial least squares structural equation modeling (PLS-SEM) (2019)
- Factors versus Composites: Guidelines for Choosing the Right Structural Equation Modeling Method (2019)
- Predictive model assessment and selection in composite-based modeling using PLS-SEM: extensions and guidelines for using CVPAT (2022)
- Cutoff criteria for overall model fit indexes in generalized structured component analysis (2020)
- Importance and performance in PLS-SEM and NCA: Introducing the combined importance-performance map analysis (cIPMA) (2024)
- Engaging consumers through artificially intelligent technologies: Systematic review, conceptual model, and further research (2024)
- Going beyond the untold facts in PLS–SEM and moving forward (2024)
- Same model, same data, but different outcomes: Evaluating the impact of method choices in structural equation modeling (2024)
Immediate Impact
1 from Science/Nature 124 standout
Citing Papers
The mediating role of satisfaction in the relationship between perceived usefulness, perceived ease of use and students’ behavioural intention to use ChatGPT
2025 Standout
A typology of validity: content, face, convergent, discriminant, nomological and predictive validity
2024 Standout
Works of Marko Sarstedt being referenced
PLS-SEM’s most wanted guidance
2022 Standout
Convergent validity assessment of formatively measured constructs in PLS-SEM
2018 Standout
Author Peers
| Author | Last Decade | Papers | Cites | |||
|---|---|---|---|---|---|---|
| Marko Sarstedt | 25285 | 30575 | 34190 | 211 | 109.4k | |
| Christian M. Ringle | 24457 | 29259 | 33013 | 195 | 104.1k | |
| David F. Larcker | 36850 | 34196 | 39945 | 209 | 134.9k | |
| Richard P. Bagozzi | 31019 | 32799 | 40767 | 354 | 102.1k | |
| Claes Fornell | 50875 | 46208 | 46423 | 92 | 136.7k | |
| Philip M. Podsakoff | 50563 | 18678 | 31813 | 103 | 111.9k | |
| Scott MacKenzie | 44378 | 21607 | 31224 | 77 | 101.4k | |
| Joseph F. Hair | 14034 | 15017 | 17015 | 144 | 59.0k | |
| Icek Ajzen | 16658 | 27686 | 48149 | 108 | 143.1k | |
| A. Parasuraman | 51126 | 37662 | 23850 | 143 | 74.1k | |
| James C. Anderson | 24555 | 17113 | 17131 | 189 | 60.9k |
All Works
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