Jun-Jie Hew

Information Systems and Management · 2015–2020

A researcher in the Science corpus: 3 papers; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jun-Jie Hew trusts overall

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

  1. V. Venkatesh
  2. Fred D. Davis
  3. Alain Yee-Loong Chong
  4. Joseph F. Hair
  5. Héctor San Martín
  6. Tomas Escobar-Rodriguez
  7. James Y. L. Thong
  8. Ing-Long Wu
  9. Chian-Son Yu
  10. Tero Pikkarainen

Who trusts Jun-Jie Hew overall

  1. Prasanta Kr. Chopdar
  2. Maciel Manoel de Queiroz
  3. Nikolaos Korfiatis
  4. Lai-Wan Wong
  5. Samuel Fosso Wamba

Papers from Jun-Jie Hew's perspective

Ordered by how strongly the researchers Jun-Jie Hew trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Why Don't Men Ever Stop to Ask for Directions? Gender, Social Influence, and Their Role in Technology Acceptance and Usage Behavior (MIS Q.)
  2. Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology
  3. 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)
  4. A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies (Management Sciences)
  5. User Acceptance of Information Technology: Toward a Unified View (MIS Q.)
  6. Integrating TTF and UTAUT to explain mobile banking user adoption (Computers in Human Behavior)
  7. A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM)
  8. Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology (MIS Q.)
  9. Modeling Citizen Satisfaction with Mandatory Adoption of an E-Government Technology (Journal of the AIS)
  10. Predicting secondary school teachers' acceptance and use of a digital learning environment: A cross-sectional study (Computers in Human Behavior)

Their papers