Christine Nya-Ling Tan

Communication · 2016–2019

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Christine Nya-Ling Tan trusts overall

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

  1. Hsiu-Fen Lin
  2. Wynne W. Chin
  3. Fred Luthans
  4. M. Stone
  5. Jonathon N. Cummings
  6. Hazel Hall
  7. Andreas Riege
  8. Meng Hsiang Hsu

Who trusts Christine Nya-Ling Tan overall

  1. Sawasn Al-Husseini

Papers from Christine Nya-Ling Tan's perspective

Ordered by how strongly the researchers Christine Nya-Ling Tan trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Why Should I Share? Examining Social Capital and Knowledge Contribution in Electronic Networks of Practice (MIS Q.)
  2. A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies (Management Sciences)
  3. Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology
  4. "It is what one does": why people participate and help others in electronic communities of practice (Journal of strategic information systems)
  5. Common method biases in behavioral research: a critical review of the literature and recommended remedies. (Journal of Applied Psychology)
  6. Review: Knowledge Management and Knowledge Management Systems: Conceptual Foundations and Research Issues (MIS Q.)
  7. Breaking the Myths of Rewards: An Exploratory Study of Attitudes about Knowledge Sharing (Information Resources Management Journal)
  8. A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic - Mail Emotion/Adoption Study (Information systems research)
  9. Behavioral intention formation in knowledge sharing: examining the roles of extrinsic motivators, social-psychological factors, and organizational climate
  10. Contributing Knowledge to Electronic Knowledge Repositories: An Empirical Investigation (MIS Q.)

Their papers