Nidhi Singh

Information Systems and Management · 2020

A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Nidhi Singh trusts overall

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

  1. Donghee Don Shin
  2. Hernan Riquelme
  3. Niina Mallat
  4. Tomi Dahlberg
  5. Fred D. Davis
  6. Francisco J. Liébana-Cabanillas
  7. Stamatis Karnouskos
  8. Shuiqing Yang
  9. Yogesh Kumar Dwivedi
  10. Rosa E. Rios

Who trusts Nidhi Singh overall

  1. Manish Talwar
  2. Shalini Talwar

Papers from Nidhi Singh's perspective

Ordered by how strongly the researchers Nidhi Singh 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. Past, present and future of mobile payments research: A literature review (Electronic Commerce Research and Applications)
  3. A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies (Management Sciences)
  4. Mobile payment: A journey through existing procedures and standardization initiatives (IEEE Communications Surveys and Tutorials)
  5. User Acceptance of Information Technology: Toward a Unified View (MIS Q.)
  6. Time Flies When You're Having Fun: Cognitive Absorption and Beliefs About Information Technology Usage (MIS Q.)
  7. Mobile payment services adoption across time: An empirical study of the effects of behavioral beliefs, social influences, and personal traits (Computers in Human Behavior)
  8. What drives mobile commerce?: An empirical evaluation of the revised technology acceptance model (Information Manager (The))
  9. Research Report: Richness Versus Parsimony in Modeling Technology Adoption Decisions - Understanding Merchant Adoption of a Smart Card-Based Payment System (Information systems research)
  10. The moderating effect of gender in the adoption of mobile banking

Their papers