James Eric Gaskin

Sociology and Political Science · 2012–2018

A researcher in the Science corpus: 7 papers; trusts 47 researchers and is trusted by 31 researchers here, as inferred from the citation graph.

Subfields

Whom James Eric Gaskin trusts overall

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

  1. Detmar W. Straub Jr.
  2. David Gefen
  3. V. Venkatesh
  4. Yuping Liu
  5. Adamantios Diamantopoulos
  6. George A. Marcoulides
  7. Wynne W. Chin
  8. Fred D. Davis
  9. Hans van der Heijden
  10. Philip M. Podsakoff

Who trusts James Eric Gaskin overall

  1. Paul Benjamin Lowry
  2. Amer Rajput
  3. Clay Posey
  4. M. Lai
  5. Elham Anasori
  6. Pingying Zhang
  7. Muhammad Asrar‐ul‐Haq
  8. Shu-Ning Zhang
  9. Jon D. Elhai
  10. Scott R. Boss

Papers from James Eric Gaskin's perspective

Ordered by how strongly the researchers James Eric Gaskin 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. Structural Equation Modeling and Regression: Guidelines for Research Practice (Communications of the Association for Information Systems)
  3. Index Construction with Formative Indicators: An Alternative to Scale Development
  4. A Critical Review of Construct Indicators and Measurement Model Misspecification in Marketing and Consumer Research
  5. Common method biases in behavioral research: a critical review of the literature and recommended remedies. (Journal of Applied Psychology)
  6. Time Flies When You're Having Fun: Cognitive Absorption and Beliefs About Information Technology Usage (MIS Q.)
  7. Validation Guidelines for IS Positivist Research (Communications of the Association for Information Systems)
  8. Specifying Formative Constructs in Information Systems Research (MIS Q.)
  9. Accounting for common method variance in cross-sectional research designs. (Journal of Applied Psychology)
  10. Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior (Information systems research)

Their papers