Tiago Oliveira

Information Systems and Management · 2009–2020

A researcher in the Science corpus: 18 papers; trusts 87 researchers and is trusted by 29 researchers here, as inferred from the citation graph.

Subfields

Whom Tiago Oliveira trusts overall

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

  1. Kevin Zhu
  2. Kenneth L. Kraemer
  3. Fred D. Davis
  4. V. Venkatesh
  5. David Gefen
  6. Philip M. Podsakoff
  7. Detmar W. Straub Jr.
  8. Hsiu-Fen Lin
  9. Maria F. O. Martins
  10. Jennifer L. Gibbs

Who trusts Tiago Oliveira overall

  1. Salma S. Abed
  2. Ali Abdallah Alalwan
  3. Yazn Alshamaila
  4. Sven Winkelhaus
  5. Yi-Shun Wang
  6. Nripendra P. Rana
  7. Raphael Awiagah
  8. Tariq Masood
  9. Kuttimani Tamilmani
  10. Morteza Ghobakhloo

Papers from Tiago Oliveira's perspective

Ordered by how strongly the researchers Tiago Oliveira 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. A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies (Management Sciences)
  3. User Acceptance of Information Technology: Toward a Unified View (MIS Q.)
  4. Consumer Acceptance of Electronic Commerce: Integrating Trust and Risk with the Technology Acceptance Model (International Journal of Electronic Commerce)
  5. Common method biases in behavioral research: a critical review of the literature and recommended remedies. (Journal of Applied Psychology)
  6. Why Don't Men Ever Stop to Ask for Directions? Gender, Social Influence, and Their Role in Technology Acceptance and Usage Behavior (MIS Q.)
  7. Structural Equation Modeling and Regression: Guidelines for Research Practice (Communications of the Association for Information Systems)
  8. E-commerce: the role of familiarity and trust
  9. Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model (Information systems research)
  10. Shaping UP for E-Commerce: Institutional Enablers of the Organizational Assimliation of Web Technologies (MIS Q.)

Their papers