Kevin Kam Fung So

Sociology and Political Science · 2016–2021

A researcher in the Science corpus: 12 papers; trusts 107 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Kevin Kam Fung So trusts overall

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

  1. Richard P. Bagozzi
  2. Marko Sarstedt
  3. David P. MacKinnon
  4. Christian M. Ringle
  5. Joseph F. Hair
  6. Philip M. Podsakoff
  7. M. Stone
  8. Jörg Henseler
  9. Scott B. MacKenzie
  10. Iis P. Tussyadiah

Who trusts Kevin Kam Fung So overall

  1. S. M. Rasoolimanesh
  2. Catherine Prentice
  3. Eojina Kim
  4. Shuhaida Md. Noor
  5. Hossein Olya
  6. Mai Nguyen
  7. R. Rather
  8. E. Erul
  9. Lanlung Chiang
  10. Dimitrios Buhalis

Papers from Kevin Kam Fung So's perspective

Ordered by how strongly the researchers Kevin Kam Fung So 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. 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)
  5. A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies (Management Sciences)
  6. Satisfaction: A Behavioral Perspective on the Consumer
  7. Consumer–Company Identification: A Framework for Understanding Consumers’ Relationships with Companies
  8. Index Construction with Formative Indicators: An Alternative to Scale Development
  9. Applications of structural equation modeling in psychological research. (Annual Review of Psychology)
  10. Multivariate Data Analysis (Technometrics)

Their papers