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Analysis of Factors Influencing User Intention to Use Smart Health Care Services

Received: 25 June 2016     Accepted: 7 July 2016     Published: 1 August 2016
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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.

Published in American Journal of Networks and Communications (Volume 5, Issue 4)
DOI 10.11648/j.ajnc.20160504.11
Page(s) 68-72
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2016. Published by Science Publishing Group

Keywords

Smart Health Care, User Intention to Use, Personal Innovativeness, Effort Expectancy, Social Influence, Performance Expectancy, Perceived Enjoyment, Facilitating Conditions

References
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[2] Bag, J., Roy, S, and Sarkar Sr., S. K., “FPGA Implementation of Advanced Health Care System Using Zig-Bee Enabled RFID Technology,”2014 IEEE International Advance Computing Conference (IACC), pp. 899-904, 2014.
[3] Venkatesh, V., Morris, M., Davis, G., and Davis, F., “User Acceptance of Information Technology: Toward a Unified View,” MIS Quarterly, 27 (3), pp. 425-478, 2003.
[4] Parameswaran, S., Kishore, R., and Li, P., “Within-Study Measurement Invariance of the UTAUT Instrument: An Assessment with User Technology Engagement Variables,” Information & Management, 52 (3), pp. 317-336, 2015.
[5] Agarwal, R. and Karahanna, E., “Time Flies When You're Having Fun: Cognitive Absorption and Beliefs about Information Technology Usage,” MIS Quarterly, 24 (4), pp. 665-694, 2000.
[6] Wallace, L. G. and Sheetz, S. D., “The Adoption of Software Measures: A Technology Acceptance Model (TAM) Perspective,” Information & Management, 51, pp. 249-259, 2014.
[7] Aizstrauta, D., Ginters, E., and Eroles, M. P., “Applying Theory of Diffusion of Innovations to Evaluate Technology Acceptance and Sustainability,” Procedia Computer Science, 43, pp. 69-77, 2015.
[8] Hwang, Y., Hwang, W., and Moon, Y., “A Study of Factors Influencing Intra-Organizational Potential Users’ Intention to Use N-screen Service,” Korean Comparative Government Review, 16 (1), pp. 89-114, 2012.
[9] Lescevica, M., Ginters, E., and Mazza, R., “Unified Theory of Acceptance and Use of Technology (UTAUT) for Market Analysis FP 7 CHOReOS Products,” Procedia Computer Science, 26, pp. 51–68, 2013.
[10] Sternad, S. and Bobek, S., “Impacts of TAM-based External Factors on ERP Acceptance”, Procedia Technology, 9, pp. 33–43, 2013.
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[12] Escobar-Rodríguez, T. and Carvajal-Trujillo, E., “Online Purchasing Tickets for Low Cost Carriers: An Application of the Unified Theory of Acceptance and Use of Technology (UTAUT) Model,” Tourism Management, 43, pp. 70–88, 2014.
[13] Oliveira, T., Faria, M., Thomas, M. A., and Popovič, A., “Extending the Understanding of Mobile Banking Adoption: When UTAUT Meets TTF and ITM,” International Journal of Information Management, 34 (5), pp. 689–703, 2014.
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  • APA Style

    Yoo-Jin Moon. (2016). Analysis of Factors Influencing User Intention to Use Smart Health Care Services. American Journal of Networks and Communications, 5(4), 68-72. https://doi.org/10.11648/j.ajnc.20160504.11

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    ACS Style

    Yoo-Jin Moon. Analysis of Factors Influencing User Intention to Use Smart Health Care Services. Am. J. Netw. Commun. 2016, 5(4), 68-72. doi: 10.11648/j.ajnc.20160504.11

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    AMA Style

    Yoo-Jin Moon. Analysis of Factors Influencing User Intention to Use Smart Health Care Services. Am J Netw Commun. 2016;5(4):68-72. doi: 10.11648/j.ajnc.20160504.11

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  • @article{10.11648/j.ajnc.20160504.11,
      author = {Yoo-Jin Moon},
      title = {Analysis of Factors Influencing User Intention to Use Smart Health Care Services},
      journal = {American Journal of Networks and Communications},
      volume = {5},
      number = {4},
      pages = {68-72},
      doi = {10.11648/j.ajnc.20160504.11},
      url = {https://doi.org/10.11648/j.ajnc.20160504.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajnc.20160504.11},
      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.},
     year = {2016}
    }
    

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    JO  - American Journal of Networks and Communications
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    AB  - 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.
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Author Information
  • Faculty of Global Business & Technology, Hankuk University of Foreign Studies, Seoul, South Korea

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