Skip to main content
Top
Published in: Wireless Personal Communications 4/2014

01-12-2014

Influential Factors of Smart Health Users according to Usage Experience and Intention to Use

Authors: Bo Ram Wang, Ji-Yun Park, Kyungyong Chung, In Young Choi

Published in: Wireless Personal Communications | Issue 4/2014

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

As the use of smartphones and applications has increased, the use of healthcare applications also has increased. In the burgeoning applications market, research regarding customers’ characteristics is necessary for the development of specific application products or services that fulfill customers’ various needs. This study aimed to analyze the characteristics of and differences in the influential factors of healthcare application use among smartphone users. A survey was conducted in 300 adults from September 16 to October 15, 2011. The research subjects were categorized into three groups, depending on their usage experience and intention to use healthcare applications. We analyzed the characteristics of each group and the differences in influential factors among the groups. The healthcare application users were female, older than 30 years old, and more educated. The current customers had high levels of self-efficacy and innovativeness. Perceived usefulness negatively affected to actual use of healthcare applications, and both perceived ease of use and enjoyment positively influenced on intention to use. Therefore, developers and managers of healthcare applications should consider these characteristics of current and potential customers to improve adoption of healthcare applications.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literature
3.
go back to reference Ahonen, T. (2012). TomiAhonen phone book 2012—statistical review of handset industry. e-book. TomiAhonen Consulting. Ahonen, T. (2012). TomiAhonen phone book 2012—statistical review of handset industry. e-book. TomiAhonen Consulting.
4.
go back to reference Chung, K. H., Chung, J. H., & Park, E. O. (2011). A study on the antecedent factors for continuous usage of smartphone and recommendation. In Fall Korea distribution association conference 2011; Jeju, Korea, November 11–12, 2011. Chung, K. H., Chung, J. H., & Park, E. O. (2011). A study on the antecedent factors for continuous usage of smartphone and recommendation. In Fall Korea distribution association conference 2011; Jeju, Korea, November 11–12, 2011.
6.
go back to reference Bandyopadhyay, D. (2009). Fast running technologies and their impact on fast growing industries. Wireless Personal Communications, 49(3), 365–373.CrossRef Bandyopadhyay, D. (2009). Fast running technologies and their impact on fast growing industries. Wireless Personal Communications, 49(3), 365–373.CrossRef
9.
go back to reference Laakko, T., Leppanen, J., Lahteenmaki, J., & Nummiaho, A. (2008). Mobile health and wellness application framework. Methods of Information in Medicine, 47, 217–222. Laakko, T., Leppanen, J., Lahteenmaki, J., & Nummiaho, A. (2008). Mobile health and wellness application framework. Methods of Information in Medicine, 47, 217–222.
11.
go back to reference Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–339.CrossRef Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–339.CrossRef
12.
go back to reference Rogers, E. M. (2003). Diffusion of innovations (5th ed.). NewYork, NY: Free Press. Rogers, E. M. (2003). Diffusion of innovations (5th ed.). NewYork, NY: Free Press.
13.
go back to reference Kang, Y. M., Cho, C., & Lee, S. (2011). Analysis of factors affecting the adoption of smartphones. In 1st international technology management conference (ITMC) 2011. San Jose, California, US, June 27–30, 2011. Kang, Y. M., Cho, C., & Lee, S. (2011). Analysis of factors affecting the adoption of smartphones. In 1st international technology management conference (ITMC) 2011. San Jose, California, US, June 27–30, 2011.
14.
go back to reference Park, Y., & Chen, J. V. (2007). Acceptance and adoption of the innovative use of smartphone. Industrial Management & Data Systems, 107(9), 1349–1365.CrossRef Park, Y., & Chen, J. V. (2007). Acceptance and adoption of the innovative use of smartphone. Industrial Management & Data Systems, 107(9), 1349–1365.CrossRef
15.
go back to reference Verkasalo, H., Lpez-Nicols, C., Molina-Castillo, F. J., & Bouwman, H. (2010). Analysis of users and non-users of smartphone applications. Telematics and Informatics, 27, 242–255.CrossRef Verkasalo, H., Lpez-Nicols, C., Molina-Castillo, F. J., & Bouwman, H. (2010). Analysis of users and non-users of smartphone applications. Telematics and Informatics, 27, 242–255.CrossRef
16.
go back to reference Kanstrup, A. M., Bjerge, K., & Kristensen, J. E. (2010). A living laboratory exploring mobile support for everyday life with diabetes. Wireless Personal Communications, 53(3), 395–408.CrossRef Kanstrup, A. M., Bjerge, K., & Kristensen, J. E. (2010). A living laboratory exploring mobile support for everyday life with diabetes. Wireless Personal Communications, 53(3), 395–408.CrossRef
17.
go back to reference Boulos, M. N., Wheeler, S., Tavares, C., & Jones, R. (2011). How smartphones are changing the face of mobile and participatory healthcare: An overview, with example from eCAALYX. Biomedical Engineering Online. doi:10.1186/1475-925X-10-24. Boulos, M. N., Wheeler, S., Tavares, C., & Jones, R. (2011). How smartphones are changing the face of mobile and participatory healthcare: An overview, with example from eCAALYX. Biomedical Engineering Online. doi:10.​1186/​1475-925X-10-24.
18.
go back to reference Yang, S., Song, W., & Zhong, Z. (2013). Resource allocation for aggregate multimedia and healthcare services over heterogeneous multi-hop wireless networks. Wireless Personal Communications, 69(1), 229–251.CrossRef Yang, S., Song, W., & Zhong, Z. (2013). Resource allocation for aggregate multimedia and healthcare services over heterogeneous multi-hop wireless networks. Wireless Personal Communications, 69(1), 229–251.CrossRef
19.
go back to reference Kim, J., & Chung, K. Y. (2013). Ontology-based healthcare context information model to implement ubiquitous environment. Multimedia Tools and Applications,. doi:10.1007/s11042-011-0919-6. Kim, J., & Chung, K. Y. (2013). Ontology-based healthcare context information model to implement ubiquitous environment. Multimedia Tools and Applications,. doi:10.​1007/​s11042-011-0919-6.
20.
go back to reference Franko, O. I., & Bhola, S. (2011). iPad apps for orthopedic surgeons. Orthopedics, 34(12), 978–981.CrossRef Franko, O. I., & Bhola, S. (2011). iPad apps for orthopedic surgeons. Orthopedics, 34(12), 978–981.CrossRef
21.
go back to reference Sarasohn-kahn, J. (2010). How smartphones are changing health care for consumers and providers. Oakland, CA: California HealthCare Foundation. Sarasohn-kahn, J. (2010). How smartphones are changing health care for consumers and providers. Oakland, CA: California HealthCare Foundation.
22.
go back to reference Middendorff, E. (2002). Computernutzung und neue Medien im Studium. Ergebnisse der, 16. Middendorff, E. (2002). Computernutzung und neue Medien im Studium. Ergebnisse der, 16.
23.
go back to reference Imhof, M., Vollmeyer, R., & Beierlein, C. (2007). Computer use and the gender gap: The issue of access, use, motivation, and performance. Computers in Human Behavior, 23(6), 2823–2837.CrossRef Imhof, M., Vollmeyer, R., & Beierlein, C. (2007). Computer use and the gender gap: The issue of access, use, motivation, and performance. Computers in Human Behavior, 23(6), 2823–2837.CrossRef
24.
go back to reference Wang, B. R., Park, J. Y., & Choi, I. Y. (2011). Influencing factors for the adoption of smart phone healthcare application. Journal of Korea Contents Association, 11(10), 396–404.CrossRef Wang, B. R., Park, J. Y., & Choi, I. Y. (2011). Influencing factors for the adoption of smart phone healthcare application. Journal of Korea Contents Association, 11(10), 396–404.CrossRef
25.
go back to reference Kennedy, T., Wellman, B., & Klement, K. (2003). Gendering the digital divide. It & Society, 1(5), 72–96. Kennedy, T., Wellman, B., & Klement, K. (2003). Gendering the digital divide. It & Society, 1(5), 72–96.
26.
go back to reference Bigné, E., Ruiz, C., & Sanz, S. (2007). Key drivers of mobile commerce adoption an exploratory study of Spanish mobile users. Journal of Theoretical and Applied Electronic Commerce Research, 2(2), 48–60. Bigné, E., Ruiz, C., & Sanz, S. (2007). Key drivers of mobile commerce adoption an exploratory study of Spanish mobile users. Journal of Theoretical and Applied Electronic Commerce Research, 2(2), 48–60.
27.
go back to reference Brown, I., Cajee, Z., Davies, D., & Stroebel, S. (2003). Cell phone banking: Predictors of adoption in South Africa—an exploratory study. International Journal of Information Management, 23(5), 381–394.CrossRef Brown, I., Cajee, Z., Davies, D., & Stroebel, S. (2003). Cell phone banking: Predictors of adoption in South Africa—an exploratory study. International Journal of Information Management, 23(5), 381–394.CrossRef
29.
go back to reference Kim, S. H. (2010). Effects of perceived attributes on the purchase intention of smart-phone. Journal of Korea Contents Association, 10(9), 318–326.CrossRef Kim, S. H. (2010). Effects of perceived attributes on the purchase intention of smart-phone. Journal of Korea Contents Association, 10(9), 318–326.CrossRef
30.
go back to reference Bandura, A. (1997). Self-efficacy; The exercise of control. New York, NY: W. H. Freeman. Bandura, A. (1997). Self-efficacy; The exercise of control. New York, NY: W. H. Freeman.
31.
go back to reference Wu, J. H., Wang, S. C., & Lin, L. M. (2007). Mobile computing acceptance factors in the healthcare industry: A structural equation model. International Journal of Medical Informatics, 76(1), 66–77.CrossRef Wu, J. H., Wang, S. C., & Lin, L. M. (2007). Mobile computing acceptance factors in the healthcare industry: A structural equation model. International Journal of Medical Informatics, 76(1), 66–77.CrossRef
32.
go back to reference Luarn, P., & Lin, H. H. (2005). Toward an understanding of the behavioral intention to use mobile banking. Computers in Human Behavior, 21(6), 873–891.CrossRef Luarn, P., & Lin, H. H. (2005). Toward an understanding of the behavioral intention to use mobile banking. Computers in Human Behavior, 21(6), 873–891.CrossRef
33.
go back to reference Chatzoglou, P. D., Sarigiannidis, L., Vraimaki, E., & Diamantidis, A. (2009). Investigating Greek employees’ intention to use web-based training. Computers & Education, 53(3), 877–889.CrossRef Chatzoglou, P. D., Sarigiannidis, L., Vraimaki, E., & Diamantidis, A. (2009). Investigating Greek employees’ intention to use web-based training. Computers & Education, 53(3), 877–889.CrossRef
34.
go back to reference Park, I. G., & Shin, D. H. (2010). Using the uses and gratifications theory to understand the usage and the gratifications of smartphones. Journal of Communication Science, 10(4), 192–225. Park, I. G., & Shin, D. H. (2010). Using the uses and gratifications theory to understand the usage and the gratifications of smartphones. Journal of Communication Science, 10(4), 192–225.
35.
go back to reference Yi, M. Y., Fiedler, K. D., & Park, J. S. (2006). Understanding the role of individual innovativeness in the acceptance of IT-based innovations: Comparative analyses of models and measures. Decision Sciences, 37(3), 393–426.CrossRef Yi, M. Y., Fiedler, K. D., & Park, J. S. (2006). Understanding the role of individual innovativeness in the acceptance of IT-based innovations: Comparative analyses of models and measures. Decision Sciences, 37(3), 393–426.CrossRef
36.
go back to reference Wang, Q., Dacko, S., & Gad, M. (2008). Factors influencing consumers’ evaluation and adoption intention of really-new products or services: Prior knowledge, innovativeness and timing of product evaluation. Advances in Consumer Research, 35, 416–422. Wang, Q., Dacko, S., & Gad, M. (2008). Factors influencing consumers’ evaluation and adoption intention of really-new products or services: Prior knowledge, innovativeness and timing of product evaluation. Advances in Consumer Research, 35, 416–422.
37.
go back to reference Shoham, S., & Gonen, A. (2008). Intentions of hospital nurses to work with computers: Based on the theory of planned behavior. Computers Informatics Nursing, 26(2), 106–116.CrossRef Shoham, S., & Gonen, A. (2008). Intentions of hospital nurses to work with computers: Based on the theory of planned behavior. Computers Informatics Nursing, 26(2), 106–116.CrossRef
38.
go back to reference Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982–1003.CrossRef Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982–1003.CrossRef
39.
go back to reference Engel, J. E., & Blackwell, R. D. (1982). Consumer behavior (4th ed.). New York, NY: The Dryden Press. Engel, J. E., & Blackwell, R. D. (1982). Consumer behavior (4th ed.). New York, NY: The Dryden Press.
40.
go back to reference Park, E., & del Pobil, A. P. (2013). Technology acceptance model for the use of tablet PCs (pp. 1–12). Wireless Personal Communications. Park, E., & del Pobil, A. P. (2013). Technology acceptance model for the use of tablet PCs (pp. 1–12). Wireless Personal Communications.
41.
go back to reference Ong, C. S., Lai, J. Y., & Wang, Y. S. (2004). Factors affecting engineers’ acceptance of asynchronous e-learning systems in high-tech companies. Information & Management, 41(6), 795–804.CrossRef Ong, C. S., Lai, J. Y., & Wang, Y. S. (2004). Factors affecting engineers’ acceptance of asynchronous e-learning systems in high-tech companies. Information & Management, 41(6), 795–804.CrossRef
42.
go back to reference Yu, P., Li, H., & Gagnon, M. P. (2009). Health IT acceptance factors in long-term care facilities: A cross-sectional survey. International Journal of Medical Informatics, 78(4), 219–229.CrossRef Yu, P., Li, H., & Gagnon, M. P. (2009). Health IT acceptance factors in long-term care facilities: A cross-sectional survey. International Journal of Medical Informatics, 78(4), 219–229.CrossRef
43.
go back to reference Mahanti, R. (2009). The application of quality function deployment to user interface design. The Quality Management Journal, 16(1), 29–41. Mahanti, R. (2009). The application of quality function deployment to user interface design. The Quality Management Journal, 16(1), 29–41.
44.
go back to reference Liang, T. P. (1987). User interface design for decision support systems: A self-adaptive approach. Information & Management, 12(4), 181–193.CrossRef Liang, T. P. (1987). User interface design for decision support systems: A self-adaptive approach. Information & Management, 12(4), 181–193.CrossRef
45.
go back to reference Sung, J. Y., & Park, J. H. (2011). A study on influence of smartphone user interface upon brand loyalty: With a focus on coordinating role of perceived skills on the device. Korean Society of Basic Design & Art, 12(1), 313–321.MathSciNet Sung, J. Y., & Park, J. H. (2011). A study on influence of smartphone user interface upon brand loyalty: With a focus on coordinating role of perceived skills on the device. Korean Society of Basic Design & Art, 12(1), 313–321.MathSciNet
46.
go back to reference Hong, J. C., Hwang, M. Y., Hsu, H. F., Wong, W. T., & Chen, M. Y. (2011). Applying the technology acceptance model in a study of the factors affecting usage of the Taiwan digital archives system. Computers & Education, 57(3), 2086–2094.CrossRef Hong, J. C., Hwang, M. Y., Hsu, H. F., Wong, W. T., & Chen, M. Y. (2011). Applying the technology acceptance model in a study of the factors affecting usage of the Taiwan digital archives system. Computers & Education, 57(3), 2086–2094.CrossRef
47.
go back to reference Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace1. Journal of Applied Social Psychology, 22(14), 1111–1132.CrossRef Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace1. Journal of Applied Social Psychology, 22(14), 1111–1132.CrossRef
48.
go back to reference ur Rehman, U., Rizwan, M., ud din Ahmed, A., Ali, N., & Khan, M. H. (2013). E-TAM model: A comprehensive approach to understand the adoption of electronic shopping. Journal of Basic and Applied Scientific Research, 3(11), 178–188. ur Rehman, U., Rizwan, M., ud din Ahmed, A., Ali, N., & Khan, M. H. (2013). E-TAM model: A comprehensive approach to understand the adoption of electronic shopping. Journal of Basic and Applied Scientific Research, 3(11), 178–188.
49.
go back to reference Wu, J., & Liu, D. (2007). The effects of trust and enjoyment on intention to play online games. Journal of Electronic Commerce Research, 8(2), 128–140. Wu, J., & Liu, D. (2007). The effects of trust and enjoyment on intention to play online games. Journal of Electronic Commerce Research, 8(2), 128–140.
50.
go back to reference Lee, S. J., Kim, Y. W., Seoh, H. S., & Lee, B. G. (2010). Acceptance and rejection of smartphones and application genre repertoire. In Korean society for internet information conference, Seoul, Korea. Lee, S. J., Kim, Y. W., Seoh, H. S., & Lee, B. G. (2010). Acceptance and rejection of smartphones and application genre repertoire. In Korean society for internet information conference, Seoul, Korea.
51.
go back to reference Conboy, L., Patel, S., Kaptchuk, T. J., Gottlieb, B., Eisenberg, D., & Acevedo-Garcia, D. (2005). Sociodemographic determinants of the utilization of specific types of complementary and alternative medicine: an analysis based on a nationally representative survey sample. Journal of Alternative & Complementary Medicine: Research on Paradigm, Practice, and Policy, 11(6), 977–994.CrossRef Conboy, L., Patel, S., Kaptchuk, T. J., Gottlieb, B., Eisenberg, D., & Acevedo-Garcia, D. (2005). Sociodemographic determinants of the utilization of specific types of complementary and alternative medicine: an analysis based on a nationally representative survey sample. Journal of Alternative & Complementary Medicine: Research on Paradigm, Practice, and Policy, 11(6), 977–994.CrossRef
52.
go back to reference Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly, 25, 351–370.CrossRef Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly, 25, 351–370.CrossRef
Metadata
Title
Influential Factors of Smart Health Users according to Usage Experience and Intention to Use
Authors
Bo Ram Wang
Ji-Yun Park
Kyungyong Chung
In Young Choi
Publication date
01-12-2014
Publisher
Springer US
Published in
Wireless Personal Communications / Issue 4/2014
Print ISSN: 0929-6212
Electronic ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-014-1769-0

Other articles of this Issue 4/2014

Wireless Personal Communications 4/2014 Go to the issue