Pierre Hadaya

Statistics and Probability · 2018

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

Whom Pierre Hadaya trusts overall

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

  1. Ned Kock
  2. Wynne W. Chin
  3. Theo K. Dijkstra
  4. Joseph F. Hair
  5. Lawrence Hoc Nang Fong
  6. David Xiaosong Peng
  7. Persi Diaconis
  8. Dale Goodhue
  9. Jörg Henseler
  10. Pamela Paxton

Who trusts Pierre Hadaya overall

  1. Christian M. Ringle
  2. Marko Sarstedt
  3. Jun-Hwa (Jacky) Cheah
  4. Hunuwala Malawarage Priyanath
  5. Katarína Valášková
  6. Jose Benitez
  7. Alfonso Aranda‐Usón
  8. Lai-Wan Wong
  9. Sikander Ali Qalati

Papers from Pierre Hadaya's perspective

Ordered by how strongly the researchers Pierre Hadaya 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. Monte Carlo Experiments: Design and Implementation
  4. Does PLS Have Advantages for Small Sample Size or Non-Normal Data? (MIS Q.)
  5. PLS-SEM: Indeed a Silver Bullet
  6. Using Partial Least Squares in Operations Management Research: A Practical Guideline and Summary of Past Research
  7. Assessing Common Method Bias: Problems with the ULMC Technique (MIS Q.)
  8. Consistent Partial Least Squares Path Modeling (MIS Q.)
  9. Monte Carlo Statistical Methods
  10. A Note on How to Conduct a Factor-Based PLS-SEM Analysis (Int. J. e Collab.)

Their papers