Applying the Technology Acceptance Model to the introduction of healthcare information systems

By Fan-Yun Pai, Kai-I Huang. 2011

567 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems and Management, Management Information Systems

View Paper: https://www.semanticscholar.org/paper/2348a2859a8a861e33d66fcae873d0835286a419

How researchers see this paper

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

In Artificial Intelligence

1. Neena Sinha
2. Pranay Verma

In Information Systems and Management

1. Timothy Hyungsoo Jung
2. Andrina Granic
3. Nikola Marangunic
4. Mohammed-Issa Riad Mousa Jaradat
5. Neena Sinha
6. Pranay Verma
7. K. Faqih
8. S. Reddy

In Management Information Systems

1. Timothy Hyungsoo Jung
2. Andrina Granic
3. Nikola Marangunic
4. Neena Sinha
5. Pranay Verma

Citations in the corpus

• Comparison of the middle-aged and older users' adoption of mobile health services in China (2014, unknown): “[21] F.”
• Keep Using My Health Apps: Discover Users' Perception of Health and Fitness Apps with the UTAUT2 Model (2015, unknown): “14 The Unified Theory of Acceptance and Use of Technology (UTAUT) 15 Model was proposed with four constructs to assess people’s technology acceptance: performance expectancy, social influence, effort expectancy, and facilitating conditions.”
• Modeling factors explaining the acceptance, actual use and satisfaction of nurses using an Electronic Patient Record in acute care settings: An extension of the UTAUT (2015, unknown): “[48] F.”
• Technology acceptance model: a literature review from 1986 to 2013 (2014, background): “Furthermore, acceptance prediction of health care information systems [65] and clinical information systems [60] was addressed by applying”
• Assessing the moderating effect of gender differences and individualism-collectivism at individual-level on the adoption of mobile commerce technology: TAM3 perspective☆ (2015, background): “Many studies have concluded that output quality is positively associated with perceived usefulness (Chang et al., 2005; Pai and Huang, 2011).”
• Impact of Trust and Privacy Concerns on Technology Acceptance in Healthcare: An Indian Perspective (2020, unknown): “As argued by [85], we designed our questionnaire on a five point Likert scale with 1 being “strongly disagree” to 5 being “strongly agree” to collect data on demographic profile of respondents and twenty-three manifest variables.”
• A theoretical model of mobile augmented reality acceptance in urban heritage tourism (2018, background): “For instance, Lin (2010) supported the strong effect of system quality on perceived usefulness, while Pai and Huang (2011) con fi rmed the effect of system quality on perceived ease of use.”
• Integrating perceived economic wellbeing to technology acceptance model: The case of mobile based agricultural extension service (2018, result): “Yet another study of acceptance of localized operating system in Iran found a relationship between PEOU and PU (Saghafi et al., 2017) and this was also reflected in a study of healthcare information systems in Taiwan (Pai and Huang, 2011).”