Ing-Long Wu, Jhao-Yin Li, Chu-Ying Fu, Shwu-Ming Wu


A recent report showed that the adoption rate of mobile healthcare is relatively low. Thus, a study for how healthcare professionals adopt mobile services to support their work is imperative in practice. An integration of TAM and TPB has considered both technological and organizational aspects in a complementary manner. However, while mobile healthcare is considered as an emerging technology with wireless features and often used in a voluntary motive. The service provision for pervasive usage and individual psychological state are critical in determining the system use. Accordingly, perceived service availability and personal innovativeness in IT are the major drivers for the components of TAM and TPB. This study thus proposed such a research framework for integrating these relevant components from a broader perspective. Empirical research is further conducted for examining its practical validity.


  1. Agarwal, R. and Prasad, J. (1998). A conceptual and operational definition of personal innovativeness in the domain of information technology. Information Systems Research, 9(2), 204-215.
  2. Agarwal, R. and Prasad, J. (1999). Are individual differences germane to the acceptance of new information technologies? Decision Sciences, 30(2), 361-391.
  3. Agarwal, R. and Karahanna, E. (2000). Time flies when you're having fun: Cognitive absorption and beliefs about information technology usage. MIS Quarterly, 24(4), 665-694.
  4. Asada, H., Shaltis, P., Reisner, A., Rhee, S., and Hutchinson, R. (2003). Mobile monitoring with wearable photoplethysmographic biosensors. IEEE Engineering in Medical and Biology Magazine, 28-40.
  5. Chau, P. Y. K. and Hu, P. J. (2002). Investigating healthcare professionals' decisions to accept telemedicine technology: an empirical test of competing theories. Information & Management, 39, 297-311.
  6. Davis, F. D., Bagozzi, R. P., and Warshaw, P. R. (1989). User acceptance of computer technology: a comparison of two theoretical models. Management Science, 35, 982-1002.
  7. DeLone, W.H., and McLean, E.R. (2003). The DeLone and McLean model of information systems success: a ten-year update. Journal of Management Information Systems, 19(4), 9-30.
  8. Flynn, L R. and Goldsmith, R. E. (1993). A validation of the goldsmith and hofacker innovativeness scale. Educational and Psychological Measurement, 53, 1105-1116.
  9. Fornell, C., and Larcker, D.F. Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of Marketing Research, 18, 3 (1981), 382-388.
  10. Gallivan, M. J. (2003). The influence of software developers' creative style on their attitudes to and assimilation of a software process innovation. Information & Management, 40, 443-465.
  11. Hong, S.-J. and Tam, K. Y. (2006). Understanding the adoption of multipurpose information appliances: the case of mobile data services. Information Systems Research, 17(2), 162-179.
  12. Islam, N. and Fayad, M. (2003). Toward ubiquitous acceptance of ubiquitous computing. Communications of ACM, 46(2), 89-92.
  13. Jovanov, E., O'Donnel, A., Morgan, A., Priddy, B., and Hormigo, R. (2002). Prolonged telemetric monitoring of heart rate variability using wireless intelligent sensors and a mobile gateway. The Second Joint IEEE EMBS/BMES Conference, 1875-1876.
  14. Lewis, W., Agarwal, R., and Sambamurthy, V. (2003). Sources of influence on beliefs about information technology use: An empirical study of knowledge workers. MIS Quarterly, 27(4), 657-678.
  15. Stanford, V. (2002). Using pervasive computing to deliver elder care. IEEE Pervasive Computing Magazine, 10-13.
  16. Taylor, S. and Todd, P. A. (1995). Understanding information technology usage: A test of competing models. Information Systems Research, 6 (2), 144-176.
  17. Taylor, N. J. (2007). Public grid computing participation: An exploratory study of determinants. Information & Management, 44, 12-21.
  18. Thatcher, J. B., Loughry, M. L., Lim, J., and McKnight, D. H. (2007). Internet anxiety: an empirical study of the effects of personality, beliefs, and social support. Information & Management, 44, 353-363.
  19. Thong, J. Y. L. (1999). An integrated model of information systems adoption in small businesses. Journal of Management Information Systems, 15(4), 187-214.
  20. Varshney, U. (2003). Location management for mobile commerce applications in wireless internet. ACM Transactions on Internet Technologies, 3(3) 221-232.
  21. Varshney, U. (2007). Pervasive healthcare and wireless health monitoring. Mobile Network Applications, 12, 113-127.
  22. Venkatesh, V. (2000). Determinants of perceived ease of use: integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information Systems Research, 11(4), 342-365.
  23. Venkatesh, V. and Davis, F. (1996). A model of the antecedents of perceived ease of use: development and test. Decision Sciences, 27(3), 451-481.
  24. Venkatesh, V. and Davis, F. (2000). A theoretical extension of the technology acceptance model: four longitudinal field studies. Management Science, 46(2), 186-204.
  25. Venkatesh, V., Morris, M., Davis, G., and Davis, F. (2003). Use acceptance of information technology: toward a unified view. MIS Quarterly, 27(3), 425-478.
  26. Walczuch, R., Lemmink, J., and Streukens, S. (2007). The effect of service employees' technology readiness on technology acceptance. Information & Management, 44, 206-215
  27. Wu, I. L. and Chen, J. L. (2005). An extension of trust and TAM model with TPB in the initial adoption of on-line tax: an empirical study. International Journal of Human-Computer Studies, 62, 784-808.
  28. Yi, M. Y., Jackson, J. D., Park, J. S., and Probst, J. C. (2006). Understanding information technology acceptance by individual professionals: toward an integrative view. Information & Management, 43, 350-363.

Paper Citation

in Harvard Style

Wu I., Li J., Fu C. and Wu S. (2010). THE ACCEPTANCE OF WIRELESS HEALTHCARE FOR INDIVIDUALS - An Integrative View . In Proceedings of the 12th International Conference on Enterprise Information Systems - Volume 5: ICEIS, ISBN 978-989-8425-08-9, pages 124-130. DOI: 10.5220/0002864701240130

in Bibtex Style

author={Ing-Long Wu and Jhao-Yin Li and Chu-Ying Fu and Shwu-Ming Wu},
booktitle={Proceedings of the 12th International Conference on Enterprise Information Systems - Volume 5: ICEIS,},

in EndNote Style

JO - Proceedings of the 12th International Conference on Enterprise Information Systems - Volume 5: ICEIS,
SN - 978-989-8425-08-9
AU - Wu I.
AU - Li J.
AU - Fu C.
AU - Wu S.
PY - 2010
SP - 124
EP - 130
DO - 10.5220/0002864701240130