This paper is in the following e-collection/theme issue:

New Methods (1023)

Published on in Vol 23, No 10 (2021): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/28193, first published .
Factors Influencing the Intention of Actors in Hospitals to Use Indoor Positioning Systems: Reasoned Action Approach

Factors Influencing the Intention of Actors in Hospitals to Use Indoor Positioning Systems: Reasoned Action Approach

Factors Influencing the Intention of Actors in Hospitals to Use Indoor Positioning Systems: Reasoned Action Approach

Authors of this article:

Johannes Wichmann1, 2 Author Orcid Image ;   Michael Leyer1, 3 Author Orcid Image
Article Authors Cited by (6) Tweetations (3) Metrics

Journals

  1. Wichmann J. Indoor positioning systems in hospitals: A scoping review. DIGITAL HEALTH 2022;8:205520762210816 View
  2. Liao G, Huang T, Wong M, Shyu Y, Ho L, Wang C, Cheng T, Teng C. Enhancing Nurse–Robot Engagement: Two-Wave Survey Study. Journal of Medical Internet Research 2023;25:e37731 View
  3. Li Y, Sharma K. Research and Implementation of Indoor 3D Positioning Algorithm Based on LED Visible Light Communication and Corresponding Parameter Estimation. Computational Intelligence and Neuroscience 2022;2022:1 View
  4. Wichmann J, Paetow T, Leyer M, Aweno B, Sandkuhl K. Determining design criteria for indoor positioning system projects in hospitals: A design science approach. DIGITAL HEALTH 2024;10 View
  5. Felix F, Martins L. IoT devices in use in healthcare applications: A systematic literature review. Research on Biomedical Engineering 2024;40(3-4):547 View
  6. Nucci F, Papadia G, Fedeli E. Optimized Scheduling of IoT Devices in Healthcare Facilities: Balancing Cost and Quality of Care. Applied Sciences 2025;15(8):4456 View