Sarv Devaraj

Information Systems and Management · 2000–2008

A researcher in the Science corpus: 8 papers; trusts 19 researchers and is trusted by 70 researchers here, as inferred from the citation graph.

Subfields

Whom Sarv Devaraj trusts overall

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

  1. Fred D. Davis
  2. V. Venkatesh
  3. Hirotugu Akaike
  4. Kevin Zhu
  5. Markham T. Frohlich
  6. David Gefen
  7. Ritu Agarwal
  8. Rajiv Kohli
  9. Robert J. Kauffman
  10. Kenneth L. Kraemer

Who trusts Sarv Devaraj overall

  1. Rajiv Kohli
  2. Hsiu-Fen Lin
  3. Chao-Min Chiu
  4. Andrew Burton-Jones
  5. Stacie C. Petter
  6. G. Schryen
  7. Tobias Schoenherr
  8. Meng Hsiang Hsu
  9. Sinan Aral
  10. Kevin Zhu

Papers from Sarv Devaraj's perspective

Ordered by how strongly the researchers Sarv Devaraj 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. Time Flies When You're Having Fun: Cognitive Absorption and Beliefs About Information Technology Usage (MIS Q.)
  3. A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies (Management Sciences)
  4. Limits to value in electronic commerce-related IT investments (Proceedings of the Annual Hawaii International Conference on System Sciences)
  5. Measuring Information Technology Payoff: A Meta - Analysis of Structural Variables in Firm - Level Empirical Research (Information systems research)
  6. Five-factor model of personality and job satisfaction: a meta-analysis. (Journal of Applied Psychology)
  7. User Acceptance of Information Technology: Toward a Unified View (MIS Q.)
  8. Information Technology Payoff in the Health-Care Industry: A Longitudinal Study (Journal of Management Information Systems)
  9. Information Technology Payoff in E-Business Environments: An International Perspective on Value Creation of E-Business in the Financial Services Industry (Journal of Management Information Systems)
  10. Structural Equation Modeling and Regression: Guidelines for Research Practice (Communications of the Association for Information Systems)

Their papers