Thurasamy Ramayah

Organizational Behavior and Human Resource Management · 2003–2020

A researcher in the Science corpus: 35 papers; trusts 84 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Thurasamy Ramayah trusts overall

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

  1. Fred D. Davis
  2. Jörg Henseler
  3. Philip M. Podsakoff
  4. Marko Sarstedt
  5. Joseph F. Hair
  6. Christian M. Ringle
  7. V. Venkatesh
  8. I. Ajzen
  9. Scott B. MacKenzie
  10. Wynne W. Chin

Who trusts Thurasamy Ramayah overall

  1. Hanudin Amin
  2. Chih-Cheng Chen
  3. T. Tan
  4. Rusliza Yahaya
  5. Eiad Yafi
  6. Chien-Wen David Chen
  7. Syed Shah Alam
  8. Jun-Hwa (Jacky) Cheah
  9. Kayode D. Aleshinloye
  10. Shehnaz Tehseen

Papers from Thurasamy Ramayah's perspective

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

  1. Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology
  2. Common method biases in behavioral research: a critical review of the literature and recommended remedies. (Journal of Applied Psychology)
  3. A Critical Review of Construct Indicators and Measurement Model Misspecification in Marketing and Consumer Research
  4. Accounting for common method variance in cross-sectional research designs. (Journal of Applied Psychology)
  5. A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies (Management Sciences)
  6. Index Construction with Formative Indicators: An Alternative to Scale Development
  7. On the nature and direction of relationships between constructs and measures. (Psychological methods)
  8. 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)
  9. Rethinking Partial Least Squares Path Modeling: In Praise of Simple Methods
  10. Component-based Structural Equation Modelling

Their papers