John W. Egger

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom John W. Egger trusts overall

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

  1. Kevin Zhu
  2. Tseng-Lung Huang
  3. Andrew Yeh-Ching Nee
  4. G. Prem Premkumar
  5. Lawrence Hoc Nang Fong
  6. Hemlata Gangwar
  7. Kenneth L. Kraemer
  8. V. Venkatesh
  9. Soh-Khim Ong
  10. Tiago Oliveira

Who trusts John W. Egger overall

  1. Tariq Masood
  2. Raymon van Dinter

Papers from John W. Egger's perspective

Ordered by how strongly the researchers John W. Egger trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Post-Adoption Variations in Usage and Value of E-Business by Organizations: Cross-Country Evidence from the Retail Industry (Information systems research)
  2. Augmented reality applications in design and manufacturing
  3. 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)
  4. A Meta-Analysis of Research on Information Technology Implementation in Small Business (Journal of Organizational Computing and Electronic Commerce)
  5. User Acceptance of Information Technology: Toward a Unified View (MIS Q.)
  6. A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM)
  7. The Process of Innovation Assimilation by Firms in Different Countries: A Technology Diffusion Perspective on E-Business (Management Sciences)
  8. An exploratory study of radio frequency identification (RFID) adoption in the healthcare industry (European Journal of Information Systems)
  9. Discriminant validity testing in marketing: an analysis, causes for concern, and proposed remedies
  10. Understanding the Factors Affecting the Organizational Adoption of Big Data (Journal of Computational Information Systems)

Their papers