探讨台湾地区行动医疗服务使用行为之研究
A Study on the Usage Behavior of Mobile Health Services in Taiwan
摘要: 本研究以荣民医疗体系为对象做讨论且以管理者角度做分析,主要以科技接受模式结合任务科技适配模式为基础,纳入组织文化因素成为研究构面,以了解哪些因素会影响自家员工使用行动医疗服务APP之行为意图。本研究以结构式问卷针对已使用过行动医疗服务APP之荣民医疗体系从业人员进行问卷发放,共收集到289份有效问卷,回收率达83%,并以统计软件Smart PLS 3.2与SPSS 22.0去验证各变量之间的假设关系及依变量间之解释能力。研究结果发现,知觉有用性及知觉易用性对使用行为意图具有正向显着影响;任务科技适配度及组织文化对知觉有用性有正向影响;科技特性、任务特性变项对任务科技适配度具有正向影响。
Abstract: This study adopted the veteran health care system as the research object to make further discussion and conducted analyses that based on the viewpoint of being managers. It was mainly integrated Technology Acceptance Model (TAM) with Task-Technology-Fit (TIF) Model as the basis, as well as incorporated with factors of Organizational Culture to be the research aspects, so as to understand those factors that would be affected their own staff’s behavioral intentions on using mobile medial APP services. This study used structured questionnaire to survey these employees and staff of veteran health care systems who have used mobile medical APP services by distributing questionnaire, 289 valid copies returned with an effective retune rate of 83%, and applied the statistical software Smart PLS 3.2 and SPSS 22.0 to verify the assumption correlation between variables and explanatory ability for dependent variables. The research results showed a positive significant influence on the Behavioral Intention between the perceived usefulness and the perceived ease of use; Task-Technology Fitness and Organizational Culture has a positive influence on the perceived usefulness; technology feature and task characteristics have a positive influence on Task-Technology Fitness.
文章引用:黄维民, 吴佩纭, 苏雅涵. 探讨台湾地区行动医疗服务使用行为之研究[J]. 社会科学前沿, 2017, 6(4): 482-492. https://doi.org/10.12677/ASS.2017.64066

参考文献

[1] Lee, C.C., Cheng, H.K. and Cheng, H.H. (2007) An Empirical Study of Mobile Commerce in Insurance Industry: Task-Technology Fit and Individual Difference. Decision Support System, 43, 95-110.
[2] Benavides, S., Polen, H.H., Goncz, C.E. and Clauson, K.A. (2011) A Systematic Evaluation of Paediatric Medicines Information Content in Clinical Decision Support Tools on Smartphones and Mobile Devices. Informatics in Primary Care, 19, 39-46.
https://doi.org/10.14236/jhi.v19i1.792
[3] 叶耀仁. 具备预估分析与互动功能之行动挂号嵌入式系统[D]: [硕士学位论文]. 云林: 虎尾科技大学资讯工程研究所, 2014.
[4] 李金美, 王邦宇. 运用行动科技让医疗管理无界限[J]. 医院双月刊, 2014, 47(3): 26-30.
[5] 黄庭钟, 黄雯菁. 医护人员内部营销、组织承诺、组织公民行为与知觉组织支持关系之研究[J]. 中华管理评论国际学报, 2012, 15(1): 1-20.
[6] 纪信光, 袁淑芳, 赵伟智. 服务质量、工作态度、顾客忠诚度、顾客满意度关系之研究——以嘉义地区银行往来客户为例[J]. 管理科学研究, 2014, 1-16.
[7] 黄东益. 电子化政府的影响评估: 内部顾客的观点[J]. 文官制度季刊, 2009, 1(3): 25-53.
[8] Liao, C.-C. (2013) Feasibility Analysis of Applying Cloud Service of Elementary School Educational Administration in Yunlin County.
[9] 洪佳仪, 王博升, 黄诗芩, 陈星伟, 邱柏凯, 陈民弦. 比较不同性别医院员工之行为意向及科技使用之情形[J]. 慈济技术学院学报, 2012(19): 1-16.
[10] 刘仲矩, 黄湘凌. 以Q方法探讨智能型手机使用者反应类型之研究[J]. 电子商务研究, 2015, 12(1): 27-49.
[11] Sasser, W.E. and Arbeit, S.P. (1976) Selling Jobs in the Service Sector. Business Horizons, 19, 61-65.
[12] Varshney, U. and Vetter, R. (2000) Emerging Mobile and Wireless Networks. Communications of the ACM, 43, 73-81.
https://doi.org/10.1145/336460.336478
[13] 相元翰. 云端运算创新服务案例与模式分析[M]. 经济部ITIS项目办公室, 2011.
[14] 林景嘉, 林振冬, 王崇安, 陈佳群, 许育棋, 黃士哲, 郭光明. 建构跨院区行动装置管理平台於行动医疗系统之应用——以奇美医学中心为例[J]. 医疗咨询杂志, 2014, 23(5): 11-22.
[15] Wallach, E.J. (1983) Individuals and Organizations: The Cultural Match. Training & Development Journal, 37, 28-36.
[16] Robbins, S.P. (2001) Organizational Behavior. 9th Edition, Prentice Hall, Upper Saddle River, NJ.
[17] 邱天佑. 企业组织文化对组织绩效之影响——以组织学习为中介变量[J]. 大汉学报, 2007(22): 37-54.
[18] 郭昭佑. 学校组织文化对评鉴信任之影响研究——以国民中小学校务评鉴为例[Z]. 2010.
[19] Putthiwanit, C. (2015) Exploring the Impact of Organizational Culture on Employees in Multinational Enterprise: A Qualitative Approach. Procedia-Social and Behavioral Sciences, 207, 483-491.
[20] Parker, C.P., Baltes, B.B., Young, S.A., Huff, J.W., Altmann, R.A., Lacost, H.A. and Roberts, J.E. (2003) Relationships between Psychological Climate Perceptions and Work Outcomes: A Meta-Analytic Review. Journal of Organizational Behavior, 24, 389-416.
https://doi.org/10.1002/job.198
[21] Mahl, S., Lee, S.K., Baker, G.R., Cronin, C.M.G., Stevens, B. and Ye, X.Y. (2015) The Association of Organizational Culture and Quality Improvement Implementation with Neonatal Outcomes in the NICU. Journal of Pediatric Health Care, 29, 435-441.
https://doi.org/10.1016/j.pedhc.2015.01.011
[22] Belias, D., Koustelios, A., Vairaktarakis, G. and Sdrolias, L. (2015) Organizational Culture and Job Satisfaction of Greek Banking Institutions. Procedia-Social and Behavioral Sciences, 175, 314-323.
[23] Rus, M. and Rusu, D.O. (2015) The Organizational Culture in Public and Private Institutions. Procedia-Social and Behavioral Sciences, 187, 565-569.
[24] 陈建成, 陈建佑. 组织文化、服务创新与经营绩效关系之研究——以台湾营造业为例[Z]. 中华管理评论国际学报, 2010.
[25] Goodhue, D.L. (1988) Supporting Users of Corporate Data: The Effect of I/S Policy Choices. Unpublished Doctoral Dissertation, Massachusetts Institute of Technology, Cambridge, MA.
[26] Fishbein, M. and Ajzen, I. (1975) Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research. Addison-Wesley, Boston.
[27] Goodhue, R. (2000) Broiler Production Contract as a Multi-Agent Problem: Common Risk, Incentives, and Heterogeneity. American Journal of Agricultural Economics, 82, 602-622.
https://doi.org/10.1111/0002-9092.00050
[28] Aljukhadar, M., Senecal, S. and Nantel, J. (2014) Is More Always Better? Investigating the Task-Technology Fit Theory in an Online User Context. Information & Management, 51, 391-397.
[29] D’Ambra, J., Wilson, C.S. and Akter, S. (2013) Application of the Task-Technology Fit Model to Structure and Evaluate the Adoption of E-Books by Academics. Journal of the American Society for Information Science and Technology, 64, 48-64.
https://doi.org/10.1002/asi.22757
[30] Davis, F.D. (1986) Technology Acceptance Model for Empirically Testing New End-User Information Systems: Theory and Results. Unpublished Doctoral Dissertation, Massachusetts Institute of Technology, Cambridge, MA.
[31] Pagani, M. (2006) Determinants of Adoption of High Speed Data Services in the Business Market: Evidence for a Combined Technology Acceptance Model with Task Technology Fit Model. Information & Management, 43, 847-860.
[32] Fuller, R.M. and Dennis, A.R. (2009) Does Fit Matter? The Impact of Task-Technology Fit and Appropriation on Team Performance in Repeated Tasks. Information Systems Research, 20, 2-17.
https://doi.org/10.1287/isre.1070.0167
[33] Lin, T.C. and Huang, C.C. (2008) Understanding Knowledge Management System Usage Antecedents: An Integration of Social Cognitive Theory and Task Technology Fit. Information & Management, 45, 410-417.
[34] McGill, T.J. and Klobas, J.E. (2009) A Task-Technology Fit View of Learning Management System Impact. Computers & Education, 52, 496-508.
[35] Wu, B. and Chen, X. (2017) Continuance Intention to Use MOOCs: Integrating the Technology Acceptance Model (TAM) and Task Technology Fit (TTF) Model. Computers in Human Behavior, 67, 221-232.
[36] 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, 982-1003.
https://doi.org/10.1287/mnsc.35.8.982
[37] Hidayanto, A.N., Febriawan, D., Sucahyo, Y.G. and Purwandari, B. (2014) Factors Influencing the Use of E-Class. Journal of Industrial and Intelligent Information, 2, 121-125.
https://doi.org/10.12720/jiii.2.2.121-125
[38] Moon, Y.J., Kim, W. and Ham, S. (2014) Users’ Intentions to Employ a Point-of-Sale System. The Service Industries Journal, 34, 901-921.
https://doi.org/10.1080/02642069.2014.915947
[39] Goodhue, D.L. and Thompson, R.L. (1995) Task-Technology Fit and Individual Performance. MIS Quarterly, 19, 213-236.
https://doi.org/10.2307/249689
[40] Hair, J.F., Anderson, R.E., Tatham, R.L. and Black, W.C. (1998) Multivariate Data Analysis. 5th Edition, Prentice Hall, Upper Saddle River, NJ.