Ben-Tzion Karsh

Information Systems and Management · 2004–2011

A researcher in the Science corpus: 7 papers; trusts 17 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Ben-Tzion Karsh trusts overall

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

  1. V. Venkatesh
  2. Fred D. Davis
  3. Patrick Y. K. Chau
  4. Richard P. Bagozzi
  5. Michael G. Morris
  6. Heshan Sun
  7. David W. Bates
  8. E. Vance Wilson
  9. Ross Koppel
  10. P. H. Hu

Who trusts Ben-Tzion Karsh overall

  1. Calvin K. L. Or
  2. S. Reddy
  3. Claudia Pagliari
  4. R. Holden
  5. Pascale Carayon
  6. M. Chassin
  7. Sue E Bowman
  8. Ross Koppel
  9. Tosha B. Wetterneck
  10. Enola K. Proctor

Papers from Ben-Tzion Karsh's perspective

Ordered by how strongly the researchers Ben-Tzion Karsh trusts endorse each paper. Same corpus, a different order for every researcher.

  1. A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies (Management Sciences)
  2. Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model (Information systems research)
  3. User Acceptance of Information Technology: Toward a Unified View (MIS Q.)
  4. Modeling patients' acceptance of provider-delivered e-health. (JAMIA Journal of the American Medical Informatics Association)
  5. Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology
  6. The Legacy of the Technology Acceptance Model and a Proposal for a Paradigm Shift (Journal of the AIS)
  7. Information Technology Acceptance by Individual Professionals: A Model Comparison Approach (Decision Sciences)
  8. Using information technology to reduce rates of medication errors in hospitals (British medical journal)
  9. Computer technology and clinical work: still waiting for Godot. (Journal of the American Medical Association (JAMA))
  10. Work system design for patient safety: the SEIPS model (BMJ Quality & Safety)

Their papers