Craig Van Slyke

Information Systems and Management · 2002–2006

A researcher in the Science corpus: 4 papers; trusts 26 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

Whom Craig Van Slyke trusts overall

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

  1. David Gefen
  2. Sirkka L. Jarvenpaa
  3. Roger C. Mayer
  4. Adamantios Diamantopoulos
  5. Paul A. Pavlou
  6. Anol Bhattacherjee
  7. Detmar W. Straub Jr.
  8. D. Harrison
  9. Noam Tractinsky
  10. D. Harrison McKnight

Who trusts Craig Van Slyke overall

  1. Weiyin Hong
  2. James Y. L. Thong
  3. France Bélanger
  4. Corey M. Angst
  5. Heng Xu
  6. Flavius Kehr
  7. Ritu Agarwal
  8. Nick Hajli
  9. V. Pitardi
  10. Vivek Choudhury

Papers from Craig Van Slyke's perspective

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

  1. Consumer Trust in an Internet Store: A Cross-Cultural Validation (J. Comput. Mediat. Commun.)
  2. Consumer Acceptance of Electronic Commerce: Integrating Trust and Risk with the Technology Acceptance Model (International Journal of Electronic Commerce)
  3. An Integrative Model Of Organizational Trust
  4. Why Don't Men Ever Stop to Ask for Directions? Gender, Social Influence, and Their Role in Technology Acceptance and Usage Behavior (MIS Q.)
  5. Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology
  6. Index Construction with Formative Indicators: An Alternative to Scale Development
  7. Individual Trust in Online Firms: Scale Development and Initial Test (Journal of Management Information Systems)
  8. A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies (Management Sciences)
  9. Structural Equation Modeling and Regression: Guidelines for Research Practice (Communications of the Association for Information Systems)
  10. Reflections on the dimensions of trust and trustworthiness among online consumers (Data Base)

Their papers