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Measuring Patients’ Perceptions and Social Influence on Home Telecare Management System Acceptance

Measuring Patients’ Perceptions and Social Influence on Home Telecare Management System Acceptance

Charles Chen, Shih-Wei Chou
Copyright: © 2012 |Pages: 26
ISBN13: 9781466617551|ISBN10: 1466617551|EISBN13: 9781466617568
DOI: 10.4018/978-1-4666-1755-1.ch021
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MLA

Chen, Charles, and Shih-Wei Chou. "Measuring Patients’ Perceptions and Social Influence on Home Telecare Management System Acceptance." Advancing Technologies and Intelligence in Healthcare and Clinical Environments Breakthroughs, edited by Joseph Tan, IGI Global, 2012, pp. 281-306. https://doi.org/10.4018/978-1-4666-1755-1.ch021

APA

Chen, C. & Chou, S. (2012). Measuring Patients’ Perceptions and Social Influence on Home Telecare Management System Acceptance. In J. Tan (Ed.), Advancing Technologies and Intelligence in Healthcare and Clinical Environments Breakthroughs (pp. 281-306). IGI Global. https://doi.org/10.4018/978-1-4666-1755-1.ch021

Chicago

Chen, Charles, and Shih-Wei Chou. "Measuring Patients’ Perceptions and Social Influence on Home Telecare Management System Acceptance." In Advancing Technologies and Intelligence in Healthcare and Clinical Environments Breakthroughs, edited by Joseph Tan, 281-306. Hershey, PA: IGI Global, 2012. https://doi.org/10.4018/978-1-4666-1755-1.ch021

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Abstract

Successful implementation of a Home Telecare Management System (HTMS) requires acceptance by the users, especially when technical innovation is applied to manage chronic healthcare in elderly patients, who are unaccustomed to using modern technology. Based on the Technology Acceptance Model (TAM) and Social Influence Theory (SIT), a Home Telecare Management System (HTMS) Acceptance Model is proposed and tested to improve the understanding of patients’ acceptance of HTMS and the impact of social influence on patients’ attitude and behavioral intentions in using HTMS. Via empirical research and analysis of 221 patients’ questionnaires, the partial least squares (PLS) technique indicates that most of the model’s hypotheses are significant. Implications for both theory and practice are also provided.

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