( 您好!臺灣時間:2024/06/22 22:11
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果 :::


論文名稱(外文):Exploring key service features that impact the intention, adoption, and continued use of e-health services
外文關鍵詞:e-healthtelecareservice featuresservice usageservice adoption
  • 被引用被引用:0
  • 點閱點閱:241
  • 評分評分:
  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:2
According to previous research, e-health systems must be customer-focused to survive in today’s competitive market. Although previous studies have discussed e-health ICT usage, few studies have focused on the customer’s point of view. It is still unclear what customers’ requirements for good e-health service are. Thus, this research attempts to determine the service features that affect customers’ intention to adopt and use e-health services. We use the service concept to classify the service features into five categories: by whom, what, for whom, when, and how. We are interested in discovering these service features that can trigger the interest of potential customers, enhance their willingness to adopt the service, and motivate the existing customers to continue using the service.
The results of this research have shown that the factors that affect people’s intention to adopt the services are: the channel to join the service, the components of the services, disease type and ages , the frequency of service supply, and the satisfaction of service and platform. Also, the factors that affect people adopt the services include: the channel to join the service, the components of the service, disease type and ages, the frequency of service supply, and the satisfaction of service and platform Furthermore, the result shows the factors that affect people to continue using the service are: the component of the service, disease type and ages and the satisfaction of service and platform

2.1 E-health care service design issues 3
2.1 By Whom (service delivery) 3
2.2 What (service offerings) 4
2.3 For Whom (customer segment) 7
2.4 When (user demands) 7
2.5 How (satisfaction) 7
3.1 Research Model 9
3.2.1 Service features - By whom 10
3.2.2 Service features – What 11
3.2.3 Service features - For whom 12
3.2.4 Service features – When 12
3.2.5 Service features – How 12
4.1 Case Background 14
4.2 Measurements 14
4.3 Data Collection 17
4.4 Reliability 20
4-5 Discriminant validity 22
5.1 Results 24
5.1 .1 Factors that affect the intention to adopt E-health 24
5.1 .2 Factors that affect the adoption of e-health 27
5.1. 3 Factors that affect people’s continued use of e-health 30
5.1.4 The summary of our analysis 33
5.2 Findings 35
6.1 Summary 39

Al-Gahtani, S. S., &; King, M. (1999). Attitudes, satisfaction and usage: factors
contributing to each in the acceptance of information technology. Behaviour &; Infomation Technology, 18(4), 277-297.

Anderson, E. W., &; Sullivan, M. W. (1993). The antecedents and consequences of customer satisfaction for firms. Marketing science, 12(2), 125-143.

Arch G.M., Ngaire K.F., Clive D.B., Katherine H. &;Christopher P. (2003) Perspectives from the United Doctors developing patient trust: Perspectives from the United States and New Zealand.NZFP , 30(5),336-341"

Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS quarterly, 25(3), 351-370.

Catwell, L., &; Sheikh, A. (2009). Evaluating eHealth Interventions: The Need for Continuous Systemic Evaluation. Plos Medicine, 6(8), 1-6.

Clark, G., Johnston, R., Shulver, M., 2000. Exploiting the service concept for service design and development. In: Fitzsimmons, J., Fitzsimmons, M. (Eds.), New Service Design. Sage, Thousand Oaks, CA, pp. 71–91.

Communication from the Commission to the Council, the European Parliament,
the European Economic and Social Committee and the Committee of the Regions. e-Health-making healthcare better for European citizens: an action plan for a European e-Health Area. Available at: http://europa.eu.int/eur-lex/en/com/ cnc/2004/com2004_0356en01.pdf. Accessed January 29, 2006.

Cooper, R. B.; and Zmud, R. W. (1990) .Information Technology Implementation Research: A Technological Diffusion Approach. Management Science, vol. 36, n°2, 1990, pp. 123-139.

J. A. Czepiel, L. Rosenberg and A. Akerele, Perspectives on Consumer Satisfaction,Proceedings of the 1974 National Conference, American Marketing Association Chicago: American Marketing Association, 1975: 119-123. Reprinted in Japan in YTV Report, No. 98 (May 1975): 64-69.

Dabholkar, P. A., Shepherd, C. D., &; Thorpe, D. I. (2000). A comprehensive framework for service quality: an investigation of critical conceptual and measurement issues through a longitudinal study. Journal of Retailing, 76(2), 139-173.

Daneman, D. (2006). Type 1 diabetes. The Lancet, 367(9513), 847-858.

DAVIS, F. D. (1986). A Technology Acceptance Model for Empirically Testing New End-User Information Systems: Theory and Results. Doctoral Dissertation, Sloan School of Management, Massachusetts Institute of Technology.

DAVIS, F. D. (1989). Perceived Usefulness , Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13 (3), 319 340.

DAVIS, F. D. (1993). User acceptance of information technology: system characteristics, user perceptions and behavioral impacts. International Journal ofMan-Machine Studies, 38,475 487.

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.

E. Kyriacou, S. Pavlopoulos, D. Koutsouris, A. S. Andreou, C. Pattichis, and C. Schizas (2001).Multipurpose health care ehealth system, II. Engineering in Medicine and Biology Society, in Proceedings of the 23rd Annual International Conference of the IEEE, vol. 4. 2544–3547

de Toledo, P., Jiménez, S., del Pozo, F., Roca, J., Alonso, A., &; Hernandez, C. (2006). Telemedicine experience for chronic care in COPD. Information Technology in Biomedicine, IEEE Transactions on, 10(3), 567-573.

Fishbein, M. and AJZEN, I.(1975) Belief, Attitude, Intention and
Behavior: An Introduction to Theory and Research. (Reading, MA: Addison-Wesley).

Fox S. Digital Divisions: Washington, DC. Pew Internet &; American Life Project, October 5, 2005. Available at: http://www.pewinternet.org/pdfs/PIP_Digital_Divisions_Oct_5_2005.pd. Accessed January 29, 2012.

Gatignon, H., &; Robertson, T. S. (1985). A propositional inventory for new diffusion research. Journal of Consumer Research, 849-867.

Gatignon, H. and T. S. Robertson (1991). Innovative decision processes. Handbook of Consumer Behavior. T. S. Robertson and H. H. Kassarjian. Englewood Cliffs, NJ, Prentice-Hall: 316-348

Gatignon, Hubert and Thomas S. Robertson, (1991) Innovative Decision Processes,Ch 9 in Handbook of Consumer Behavior, Eds. T.S. Robertson and H.H.Kassarjian, Prentice-Hall, Englewood Cliffs, New Jersey

Goldstein, S. M., Johnston, R., Duffy, J., &; Rao, J. (2002). The service concept: the missing link in service design research?. Journal of Operations management, 20(2), 121-134.

González, M. E., et al. (2006). Conceptual design of an e-health strategy for the Spanish health care system. International Journal of Health Care Quality Assurance 19(2): 146-157.

Hart, A., Henwood, F., &; Wyatt, S. (2004). The role of the Internet in patient-practitioner relationships: findings from a qualitative research study. Journal of Medical Internet Research, 6(3).

Hsu, C., &; Lu, H. (2004). Why do people play on-line games? An extended TAM with social influences and flow experience. Information &; Management, 41, 853–868.

Oh H, Rizo C, Enkin M, Jadad A. (2005). What is eHealth (3): a systematic review of pub-lished definitions,J Med Internet Res. 7(1):e1.

Juretic M, Hill R, Hicken B, Luptak M, Rupper R, Bair B (2012). Predictors of Attrition in Older Users of a Home-Based Monitoring and Health Information Delivery System. Telemed J E Health. 18.9:709.

Karahanna, E., &; Straub, D. W. (1999). The psychological origins of perceived usefulness and ease of use. Information &; Management, 35(4), 237–250.

Kulkarni K, Castle G, Gregory R, Holmes A, Leontos C, Powers M et al.; The Diabetes Care and Education Dietetic Practice Group. Nutrition Practice Guidelines for Type 1 Diabetes Mellitus positively affect dietitian practices and patient outcomes. J Am Diet Assoc 1998;98:62-70.

Kwon, T. H.; and Zmud, R. W. (1987). Unifying the Fragmented Models of Information Systems Implementation. In J. R. Boland, and R. Hirshheim (eds.), Critical Issues in Information Systems Research, New York: John Wiley, 227-251.

L. Baker, T.H. Wagner, S. Singer, M.K. Bundorf, (2003). Use of the Internet and e-mail for health care information: results from a national survey, JAMA 289 ,2400–2406.

Liao, S., Shao, Y. P., Wang, H., &; Chen, A. (1999). The adoption of virtual banking: An empirical study. International Journal of Information Management, 19, 63–74

Liker, J., &; Sindi, A. (1997). User acceptance of expert systems: A test of the theory of reasoned action. Journal of Engineering and Technology Management, 14(2), 147–173.

Low, KCP. (2002), Strategic Customer Management,”BusiensscrAFT™ Consultancy.

Martinez, A., Villarroel, V., Seoane, J., &; Pozo, F. D. (2004). Rural telemedicine for primary healthcare in developing countries. Technology and Society Magazine, IEEE, 23(2), 13-22.

Marvin E. González, Gioconda Quesada, Ignacio Urrutia, José V. Gavidia, (2006),Conceptual design of an e-health strategy for the Spanish health care system, International Journal of Health Care Quality Assurance, Vol. 19 Iss: 2 pp. 146 – 157

M. Brodie, R.E. Flournoy, D.E. Altman, R.J. Blendon, J.M.Benson, M.D. (2000) Rosenbaum, Health information, the Internet, and the digital divide, Health Affairs (Project Hope) 19, 255–265.

M. V. M. Figueredo and J. S. Dias (2004). Mobile telemedicine system for home care and patient monitoring, in Proceedings of the 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS ’04), vol. 2, 3387–3390

MICHAEL, D. S. (1996). Theory and method in health audience segmentation.Journal of health communication, 1(3), 267-284.

Manganello, J. A. (2008). Health literacy and adolescents: A framework and
agenda for future research. Health Education Research, 23, 840–847.

Mohammad Nabil Almunawar, Z. W., Kim Cheng Patrick Low, and a. M.Anshari (2012). Customer Expectation of E-Health Systems in Brunei Darussalam ,J Health Care Finance 38(4): 36-49.

Moore, L. G., &; Wasson, J. H. (2006). An introduction to technology for patient-centered, collaborative care. The Journal of ambulatory care management,29(3), 195-198.

Oliver, R. L. (1980). A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of marketing research, 460-469.

Pan, S., &; Jordan-Marsh, M. (2010). Internet use intention and adoption among Chinese older adults: From the expanded technology acceptance model perspective. Computers in Human Behavior, 26(5), 1111-1119.

Patel, M., Patel, I. M., Patel, Y. M., &; Rathi, S. K. (2012). Factors Associated with Consumption of Diabetic Diet among Type 2 Diabetic Subjects from Ahmedabad, Western India. Journal Of Health, Population, &; Nutrition, 30(4), 447-455.

Pastors JG, Warshaw H, Daly A, Franz M, Kulkarni K. The evidence for the effectiveness of medical nutrition therapy in diabetes management. Diabetes Care 2002;25:608-13.

Parasuraman, A., Zeithaml, V.A. and Berry, L.L. (1988). SERVQUAL: a multiple-item scale for measuring consumer perceptions of service quality, Journal of retailing, 64(1), 12-40.

Patterson, P. G., &; Spreng, R. A. (1997). Modeling the Relationship between Perceived Value, Satisfaction, and Repurchase Intentions in a Business-to-Business. Services Context: An Empirical Examination. International Journal of Service Industry Management, 8 (5), 414-434.

R. Sethuram, A.N. Weerakkody (2010). Health information on the Internet, Journal of Obstetrics Gynaecology 30 ,119–121.

S.W. Ryu, Y.J. Ha (2004). Usage of health information on the Internet, Health Welfare Policy Forum (89) 71–87.

Silber D (2003) The Case for eHealth. Presented at the European Commission’s first high-level conference on eHealth May 22/23 2003. European Institute of Public Administration.
Available: http://ec.europa.eu/information_society/eeurope/ehealth/conference/2003/doc/the_case_for_eHealth.pdf. Accessed 22 July 2012

Smucker Barnwell, S. V., Juretic, M. A., Hoerster, K. D., Van de Plasch, R., &; Felker, B. L. (2012). VA Puget Sound telemental health service to rural veterans: A growing program. Psychological Services, 9(2), 209-211.

Houston, T. K., &; Allison, J. J. (2002). Users of Internet health information: differences by health status. Journal of Medical Internet Research, 4(2).

Taylor, S., &; Todd, P. A. (1995). Assessing IT usage: The role of prior experience. MIS Quarterly, 19(4), 561–570.

Taylor, S., &; Todd, P. A. (1995). Understanding information technology usage: A test of competing models. Information Systems Research, 16(3), 144–176.

Tse, D. K., &; Wilton, P. C. (1988). Models of consumer satisfaction formation: an extension. Journal of marketing research, 204-212.

Venkatesh, V., &; Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 45(2), 186–204.

註: 此連結為研究生畢業學校所提供,不一定有電子全文可供下載,若連結有誤,請點選上方之〝勘誤回報〞功能,我們會盡快修正,謝謝!
第一頁 上一頁 下一頁 最後一頁 top