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E-health/m-health adoption and lifestyle improvements: Exploring the roles of technology readiness, the expectation-confirmation model, and health-related information activities

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  • Leung, Louis
  • Chen, Cheng

Abstract

This purpose of this study was to investigate (a) the prevalence and patterns of e-health/m-health use in Hong Kong; (b) the activities that people engage in via health-related information platforms/apps; and (c) the roles that technology readiness, the expectation-confirmation model, and e-health/m-health activities play in predicting lifestyle improvement. Data were collected from a telephone survey, with a probability sample of 1,007 respondents aged 18 or above. Our results show that 47.2% of the respondents were regular users of e-health technologies, 23.2% were m-health users, and only 10.7% used wearables for health purposes. Among the six e-health/m-health activities identified, health tutorials and health information seeking were the most frequently used, followed by recording/monitoring and medical services. The least popular activities were reminders and sharing experiences. As expected, the component variables in the expectation-confirmation model, particularly confirmation and perceived usefulness, were the strongest predictors for lifestyle improvement. External factors, such as being older and innovative, the use of e-health/m-health activities for recording/monitoring, health tutorials, medical services, and sharing experiences, also had significant impacts. Theoretical and practical implications are discussed.

Suggested Citation

  • Leung, Louis & Chen, Cheng, 2019. "E-health/m-health adoption and lifestyle improvements: Exploring the roles of technology readiness, the expectation-confirmation model, and health-related information activities," Telecommunications Policy, Elsevier, vol. 43(6), pages 563-575.
  • Handle: RePEc:eee:telpol:v:43:y:2019:i:6:p:563-575
    DOI: 10.1016/j.telpol.2019.01.005
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    1. Meuter, Matthew L. & Ostrom, Amy L. & Bitner, Mary Jo & Roundtree, Robert, 2003. "The influence of technology anxiety on consumer use and experiences with self-service technologies," Journal of Business Research, Elsevier, vol. 56(11), pages 899-906, November.
    2. Steven A. Taylor & Kevin Celuch & Stephen Goodwin, 2002. "Technology Readiness in the E-Insurance Industry: An Exploratory Investigation and Development of an Agent Technology E-Consumption Model," Journal of Insurance Issues, Western Risk and Insurance Association, vol. 25(2), pages 142-165.
    3. Kieran Mathieson, 1991. "Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior," Information Systems Research, INFORMS, vol. 2(3), pages 173-191, September.
    4. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    5. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    6. Hsiuju Rebecca Yen, 2005. "An attribute-based model of quality satisfaction for Internet self-service technology," The Service Industries Journal, Taylor & Francis Journals, vol. 25(5), pages 641-659, July.
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