Khaled Hassanein

Information Systems and Management · 2005–2018

A researcher in the Science corpus: 6 papers; trusts 53 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Khaled Hassanein trusts overall

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

  1. David Gefen
  2. Detmar W. Straub Jr.
  3. Fred D. Davis
  4. V. Venkatesh
  5. Hans van der Heijden
  6. P. Lachenbruch
  7. Paul A. Pavlou
  8. Hung-Pin Shih
  9. Paul Chwelos
  10. Sirkka L. Jarvenpaa

Who trusts Khaled Hassanein overall

  1. Lingyun Qiu
  2. Dianne Cyr
  3. Izak Benbasat
  4. Milena M. Head
  5. V. Pitardi
  6. Baozhou Lu
  7. Yeolib Kim
  8. Roland Schroll
  9. H. Pereira
  10. Alexander Bleier

Papers from Khaled Hassanein's perspective

Ordered by how strongly the researchers Khaled Hassanein 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. E-commerce: the role of familiarity and trust
  3. Consumer Trust in an Internet Store: A Cross-Cultural Validation (J. Comput. Mediat. Commun.)
  4. A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies (Management Sciences)
  5. The Relative Importance of Perceived Ease of Use in IS Adoption: A Study of E-Commerce Adoption (Journal of the AIS)
  6. Consumer Acceptance of Electronic Commerce: Integrating Trust and Risk with the Technology Acceptance Model (International Journal of Electronic Commerce)
  7. Structural Equation Modeling and Regression: Guidelines for Research Practice (Communications of the Association for Information Systems)
  8. Why Don't Men Ever Stop to Ask for Directions? Gender, Social Influence, and Their Role in Technology Acceptance and Usage Behavior (MIS Q.)
  9. An Integrative Model Of Organizational Trust
  10. Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model (Information systems research)

Their papers