Christian Nitzl

Organizational Behavior and Human Resource Management · 2016–2020

A researcher in the Science corpus: 8 papers; trusts 53 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

Whom Christian Nitzl trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Marko Sarstedt
  2. Jörg Henseler
  3. Joseph F. Hair
  4. Christian M. Ringle
  5. Wynne W. Chin
  6. Theo K. Dijkstra
  7. Andrew F. Hayes
  8. Edward E. Rigdon
  9. Adamantios Diamantopoulos
  10. V. Venkatesh

Who trusts Christian Nitzl overall

  1. Marko Sarstedt
  2. Christian M. Ringle
  3. Joseph F. Hair
  4. Jamal El Baz
  5. Faizan Ali
  6. Jun-Hwa (Jacky) Cheah
  7. S. M. Rasoolimanesh
  8. Jörg Henseler
  9. Salomée Ruel
  10. Matt C. Howard

Papers from Christian Nitzl's perspective

Ordered by how strongly the researchers Christian Nitzl trusts endorse each paper. Same corpus, a different order for every researcher.

  1. A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic - Mail Emotion/Adoption Study (Information systems research)
  2. A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM)
  3. Rethinking Partial Least Squares Path Modeling: In Praise of Simple Methods
  4. A Critical Review of Construct Indicators and Measurement Model Misspecification in Marketing and Consumer Research
  5. Index Construction with Formative Indicators: An Alternative to Scale Development
  6. Methods for integrating moderation and mediation: a general analytical framework using moderated path analysis. (Psychological methods)
  7. On the Emancipation of PLS-SEM: A Commentary on Rigdon (2012)
  8. Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology
  9. Statistical Power Analysis for the Behavioral Sciences (2nd ed.)
  10. An Empirical Comparison of the Efficacy of Covariance-Based and Variance-Based SEM

Their papers