An empirical study of wearable technology acceptance in healthcare

By Yiwen Gao, He Li, Yan Luo. Industrial management & data systems, 2015

604 citations recorded by the source corpus.

Subfields: Information Systems and Management, Organizational Behavior and Human Resource Management, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/5f5961aae307ccfbb75ebb95d2b49975a7d8fd28

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Information Systems and Management

1. Kuttimani Tamilmani
2. Samuel Fosso Wamba
3. Rohita Dwivedi
4. Nripendra P. Rana
5. Yogesh Kumar Dwivedi
6. Ali Abdallah Alalwan

In Organizational Behavior and Human Resource Management

1. Kuttimani Tamilmani
2. Samuel Fosso Wamba
3. Rohita Dwivedi
4. Nripendra P. Rana
5. Yogesh Kumar Dwivedi
6. Ali Abdallah Alalwan

In Sociology and Political Science

1. Kuttimani Tamilmani
2. Samuel Fosso Wamba
3. Nripendra P. Rana
4. Rohita Dwivedi
5. Ali Abdallah Alalwan
6. Yogesh Kumar Dwivedi

Citations in the corpus

• The extended Unified Theory of Acceptance and Use of Technology (UTAUT2): A systematic literature review and theory evaluation (2021, methodology): “The consumer as a user type involved integration of Protection Motivation Theory (PMT) and Privacy Calculus Theory with UTAUT2 in order to evaluate their intention to adopt wearable health care technology devices (Gao et al., 2015).”
• Ethical and regulatory challenges of AI technologies in healthcare: A narrative review (2024, background): “Recent reviews highlight the potential of AI integration into wearable technologies while addressing the issue of user retention, and underscore the need for patient education to improve AI acceptance [56–58].”