育達科大學報. 第 29 期. 民國 100 年 12 月 A study on the acceptance of web appointment of clinical appointment Yi-Horng Lai * Fen-fen Huang Hsieh-Hua Yang *

Size: px

Start display at page:

Download "育達科大學報. 第 29 期. 民國 100 年 12 月 A study on the acceptance of web appointment of clinical appointment Yi-Horng Lai * Fen-fen Huang ** Hsieh-Hua Yang ***"

豌丞聪长孙
7 years ago
Views:

1 Yu Da Academic Journal Vol.29,December 2011, pp 影響大專學生使用網路掛號行為因素之探討賴宜弘黃芬芬楊雪華摘要掛號是民眾接受醫療服務的開始, 就醫療資訊系統而言, 網路掛號為與民眾最直接相關的醫療資訊系統本研究以科技接受模型理論為基礎, 本研究以大專青年為研究對象, 採用問卷調查方式進行實證研究本研究結果發現, 認知有用性與認知易用性對網路掛號的使用意願有正向影響, 服務品質與認知易用性對網路掛號的認知有用有正向影響, 服務品質與資訊經驗對網路掛號的認知易用有正向影響根據研究結果, 各大醫院若要吸引更多病患使用網路掛號, 應提高掛號網站的個人資料安全性服務提供全日性操作說明完整性資訊回復迅速性, 而不應只努力於提升掛號網站的易用性對病患而言, 能確實正確的掛號就醫, 以解除身上的病痛, 遠較於掛號網站是否好操作重要此外, 現今大眾多以具備基本電腦能力及網路使用經驗, 網路掛號目標單純簡單, 很容易學習上手掛號網站的易用性不再是吸引使用者使用的重點了各大醫院現今應思考的是提供更多元化的服務, 以滿足病患多元化的預約掛號需求關鍵詞 : 網路掛號科技接受模型醫院資訊系統 * ** ***

2 育達科大學報. 第 29 期. 民國 100 年 12 月 A study on the acceptance of web appointment of clinical appointment Yi-Horng Lai * Fen-fen Huang ** Hsieh-Hua Yang *** Abstract The base of this study is David s Technology Acceptance Model. In the results of this study, it could be found that user experience and website quality have significant positive effect on perceived ease of use, and the latter one is more influential than the former. Service quality has no significant effect on perceived ease. User experience, website quality and perceived ease of use have significant positive effect on perceived usefulness, service quality have no significant effect on perceived usefulness. Perceived usefulness has significant positive effect on intention to use, and perceived ease of use has no significant effect on intention to use. Hospital managers should consider the website quality of web registry of clinical appointment as the most import factor. And in order to improve the web registry operation, both the speed of screen appearing and the response time of system are crucial. Hence, let the web registry of clinical appointment operation become more easy and friendly is very important. Meanwhile, it s also important to enhance the query function in related web registry of clinical appointment. Moreover, introducing doctor s specialty and providing the distinct correlation between disease and medical treatment information are good ways to enhance the usefulness of web registry of clinical appointment, thus encourage the customers to make best use of it. * Department of Health Care Administration ** Department of Health Care Administration *** Oriental Institute of Technology

3 影響大專學生使用網路掛號行為因素之探討壹研究動機與目的

4 育達科大學報. 第 29 期. 民國 100 年 12 月貳相關研究一掛號與網路掛號 (Open Staff System Hospital) (Closed Staff System Hospital)1996 二科技接受模型 DavisTechnology Acceptance Model TAM Davis, 1989Perceived Usefulness PU Perceived Ease of Use PEOU

5 影響大專學生使用網路掛號行為因素之探討 Davis TAM Davis, 1989) Belief Attitude Intention

6 育達科大學報. 第 29 期. 民國 100 年 12 月三服務品質 Parasuraman, Zeithaml, and Berry (1988) Bitner 1990 Parasuraman, Zeithaml, and Berry Reliability 2 Responsiveness 3 Competence 4 Access) 5 Courtesy 6 Communication 7 Credibility 8 Security) 9 Understanding/Knowing 10 Tangibles) 四資訊經驗

7 影響大專學生使用網路掛號行為因素之探討 Ajzen and Fishbein (1980) 2004 Igbaria & Iivari 1995 參研究方法一研究假說 Davis 1989 Szajna Szajna(1996) H1 H2 H3 H4 H5 H6 H7-73 -

8 育達科大學報. 第 29 期. 民國 100 年 12 月 1 H4 H6 H1 H3 H5 H7 H /df (Carmines McIver, 1981)CFI IFI PNFI PGFI (0.000) 2 /df GFI AGFI CFI IFI NFI NNFI PNFI PGFI

9 影響大專學生使用網路掛號行為因素之探討二研究變數 1 Perceived Ease of Use (Davis, 1989) 2 Perceived Usefulness (Davis, 1989) 3 Behavioral Intention tofishbein and Ajzen(1975) (Subjective probability) 4 PZB 1988 SERVQUAL Ajzen(1985) 三資料分析方法 (Structural Equation Modeling; SEM) Jöreskog 1973 (latent variables) 2011 SEM fit indi

10 育達科大學報. 第 29 期. 民國 100 年 12 月 cators (modification indicators) 2011 IBM SPSS AMOS 20 IBM SPSS Statistics 20 四研究工具 Davis, Likert Cronbach

11 影響大專學生使用網路掛號行為因素之探討 2 Cronbach Cronbach s 肆研究結果一研究對象描述 % % % % Mardia ( +2 Bollen Mardia ( +2) Maximum Likelihood; ML

12 育達科大學報. 第 29 期. 民國 100 年 12 月 3 Mardia AVE 0.694~ A B C D E A B 5.623*.862 C 6.572*.789*.859 D 6.539*.637*.557*.700 E 6.281*.362*.349*.309* (AVE) 3 * =

13 影響大專學生使用網路掛號行為因素之探討二研究假說檢定 5 5 H * H * H * H * H * H H * * (6.728) (9.159) (5.685) (1.964) (4.682) (9.975) (2.298)

14 育達科大學報. 第 29 期. 民國 100 年 12 月三整體模型影響效果 = = = * P<

15 影響大專學生使用網路掛號行為因素之探討伍結論與建議一研究結論 Davis Davis

16 育達科大學報. 第 29 期. 民國 100 年 12 月 2004 Parasuraman, Zeithaml, and Berry 1985 Ajzen and Fishbein (1980) 二實務的建議

17 影響大專學生使用網路掛號行為因素之探討參考文獻 2002TAM p.43~p.62 Ajzen, Icek And Martin Fishbein (1980), Understanding Attitudes and Predicting Social Behavior, Englewood Cliffs, NJ: Pretice-Hall, Ajzen, I. (1985), From intentions to actions: A theory of planned behavior, In J. Kuhl & J. Beckman (Eds.), Actioncontrol: From cognition to behavior, pp Bitner, M. J. (1990), Evaluating Service Encounters: The Effects of Physical Surroundings and Employee Responses, Journal of Marketing, Vol.54, 1990, Bollen, K. A.(1989), Structural equation with latent variables. New York: Wiley. Davis, F.D. (1989), Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology, MIS Quarterly, 1989, Fishbein, M. and Ajzen, I. (1975), Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research, Addsion-Wesley, MA Igbaria, M., T. Guimaraes and Davis, G.B. (1995), Testing the determinants of microcomputer usage via a structural equation model, Journal of Management Information Systems, Vol.11, No.4, 1995, Parasuraman, A., Zeithaml, V.A., and Berry, L.L. (1985), A Conceptual Model of Service Quality and Its Implications for Future Research, Journal of Marketing, 49, 1985, 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), Spring 1988, Szajna, B. (1996), Empirical evaluation of the revised technology acceptance model, Management Science, 42(1), 1996,

18 育達科大學報. 第 29 期. 民國 100 年 12 月

* ** * **

5 5 * ** * ** 1 2 3 4 2 1 1 30 10 ( 40 ) 8.47 10.85 3.23 1.35 170HP 10.00 / HINO 76 6 4 0.953 3 0.397 1,113 - - 4 5 57 10 20 1 3 3 50 2 30-50 100 6 7 8 - ( ) ( ) 13 2009 2000-02 00 20 5.6 25000 18000 1