Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37731, first published .
Enhancing Nurse–Robot Engagement: Two-Wave Survey Study

Enhancing Nurse–Robot Engagement: Two-Wave Survey Study

Enhancing Nurse–Robot Engagement: Two-Wave Survey Study

Journals

  1. Tobis S, Piasek-Skupna J, Neumann-Podczaska A, Suwalska A, Wieczorowska-Tobis K. The Effects of Stakeholder Perceptions on the Use of Humanoid Robots in Care for Older Adults: Postinteraction Cross-Sectional Study. Journal of Medical Internet Research 2023;25:e46617 View
  2. Lim Y, Tan S, Tan C, Lee D, Siow W, Heng D, Mukhopadhyay A, Lim J, Sivadas S, Teo E, Ho L, Phua J. An Assessment of an Inpatient Robotic Nurse Assistant: A Mixed-Method Study. Journal of Medical Systems 2024;48(1) View
  3. Pham T, Huang T, Wong M, Shyu Y, Cheng T, Chen L, Teng C. Impacts of effort recognition on nurses’ organizational commitment and turnover intention. International Journal of Workplace Health Management 2024;17(5/6):521 View
  4. Soyer Er O, Ozpinar E. The Effect of Nursing Students' Artificial Intelligence Anxiety on Their Knowledge of Robotic Surgery: The Mediating Role of Individual Innovativeness. Journal of Evaluation in Clinical Practice 2025;31(1) View
  5. Zhu J, Yuan S, Pu L, Martin-Payo R, Wei L, Qiu M, Zhang F. Nursing postgraduates’ innovative behaviour, influencing factors and educational requirements: a national cross-sectional study. BMC Medical Education 2025;25(1) View
  6. Zhang S, Liu L, Peng T, Ding S, Nashwan A. Patterns and Trends in Global Nursing Robotics Research: A Bibliometric Study. Journal of Nursing Management 2025;2025(1) View