Abstract

This study analyzes factors influencing user intention to use various smart health care services on the empirical level. The analysis shows that users of smart health care services have higher degree of effort expectancy and intention to use the service than non-users. Also, the high potential usages of the service are more positively correlated with the health enhancement, the performance expectancy, the recommendations from friends or family, and the perceived enjoyment or attractiveness of the service than the convenience of usage, the device compatibility with smart devices, and the personal innovativeness.

Highlights

  • Smart health care services are recognized as a new trend in mobile applications

  • Smart health care service is within the advanced technology or new technology which is the subject of the information technology acceptance theory

  • This study extracted variables such as effort expectancy, social influence, performance expectancy, facilitating conditions proposed by [3, 4] as important factors affecting intention to use smart health care service

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Summary

Introduction

Smart health care services are recognized as a new trend in mobile applications. With people demanding comparatively more health related services, smart health care services attract many people’s attention. The aim of this study is to analyze factors influencing user intention to use various smart health care services on empirical level. The findings of this paper will redound to the benefit of companies considering performance expectancy in order to dominate smart health care service market, to quickly react to word of mouth, and to improve enjoyment and attractiveness of smart health care services. This paper first deals with introducing smart health care services and presenting theoretical background. It suggests the research model and hypotheses, conveys the results of hypotheses verification and empirical analysis, and provides some conclusions

Theoretical Background
Sample
Research Model
Demographic Variables Hypothesis 1-1
UTAUT Variables Hypothesis 2-1
Verification of Research Model
Hypothesis Verification
Findings
Conclusion
Full Text
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