The effects of information systems quality on nurses' acceptance of the electronic learning system

Journal of Nursing Research

Volumn 20, Issue 1, 2012, Pages 19-30

  Cheng, Yung Ming ^a  

^a CHAOYANG UNIVERSITY OF TECHNOLOGY   (Taiwan)

Author keywords

Information quality; Nurses' acceptance of the e learning system; Service quality; System quality; User interface design quality

Indexed keywords

ARTICLE; ATTITUDE TO COMPUTERS; BEHAVIOR; CLINICAL TRIAL; COMPUTER INTERFACE; CROSS-SECTIONAL STUDY; EDUCATION; FEMALE; HUMAN; INTERNET; MULTICENTER STUDY; NURSING EDUCATION; NURSING STAFF; ONLINE SYSTEM; STATISTICAL MODEL; TAIWAN;

ATTITUDE TO COMPUTERS; CROSS-SECTIONAL STUDIES; EDUCATION, DISTANCE; EDUCATION, NURSING, CONTINUING; FEMALE; HUMANS; INTENTION; INTERNET; MODELS, STATISTICAL; NURSING STAFF, HOSPITAL; ONLINE SYSTEMS; TAIWAN; USER-COMPUTER INTERFACE;

EID: 84863582844     PISSN: 16823141     EISSN: 1948965X     Source Type: Journal    
DOI: 10.1097/JNR.0b013e31824777aa     Document Type: Article

References (43)

1. Adams, D. A., Nelson, R. R., & Todd, P. A. (1992). Perceived usefulness, ease of use, and usage of information technology: A replication. MIS Quarterly, 16(2), 227-247.
2. Ahn, T., Ryu, S., & Han, I. (2007). The impact of Web quality and playfulness on user acceptance of online retailing. Information & Management, 44(3), 263-275. (Pubitemid 46705539)
3. Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3), 411-423.
4. Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74-94.
5. Baylari, A., & Montazer, G. A. (2009). Design a personalized e-learning system based on item response theory and artificial neural network approach. Expert Systems With Applications, 36(4), 8013-8021.
6. Bloomfield, J., Roberts, J., & While, A. (2010). The effect of computer-assisted learning versus conventional teaching methods on the acquisition and retention of handwashing theory and skills in pre-qualification nursing students: A randomised controlled trial. International Journal of Nursing Studies, 47(3), 287-294.
7. Chang, H. H., & Wang, I. C. (2008). An investigation of user communication behavior in computer mediated environments. Computers in Human Behavior, 24(5), 2336-2356.
8. Chen, C. Y., Chang, R. E., Hung, M. C., & Lin, M. H. (2009). Assessing the quality of a Web-based learning system for nurses. Journal of Medical Systems, 33(4), 317-325.
9. Chen, I. J., Yang, K. F., Tang, F. I., Huang, C. H., & Yu, S. (2008). Applying the technology acceptance model to explore public health nurses' intentions toward Web-based learning: A cross-sectional questionnaire survey. International Journal of Nursing Studies, 45(6), 869-878.
10. Cho, V., Cheng, T. C. E., & Lai, W. M. J. (2009). The role of perceived user-interface design in continued usage intention of self-paced e-learning tools. Computers & Education, 53(2), 216-227.
11. Choi, D. H., Kim, J., & Kim, S. H. (2007). ERP training with a web-based electronic learning system: The flow theory perspective. International Journal of Human-Computer Studies, 65(3), 223-243. (Pubitemid 46099030)
12. Cyr, D., Head, M., & Ivanov, A. (2006). Design aesthetics leading to m-loyalty in mobile commerce. Information & Management, 43(8), 950-963. (Pubitemid 44909370)
13. Cyr, D., Head, M., & Ivanov, A. (2009). Perceived interactivity leading to e-loyalty: Development of a model for cognitive-affective user responses. International Journal of Human-Computer Studies, 67(10), 850-869.
14. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340.
15. 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.
16. Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace. Journal of Applied Social Psychology, 22(14), 1111-1132.
17. DeLone, W. H., & 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.
18. Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable and measurement error. Journal of Marketing Research, 18(1), 39-50.
19. Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (1998). Multivariate data analysis with readings (5th ed.). Englewood Cliffs, NJ: Prentice-Hall.
20. Holmes-Smith, P. (2001). Introduction to structural equation modeling using LISREL. Perth, Australia: ACSPRI-Winter Training Program.
21. Hwang, G. J., Yang, T. C., Tsai, C. C., & Yang, S. J. H. (2009). A context-aware ubiquitous learning environment for conducting complex science experiments. Computers & Education, 53(2), 402-413.
22. Jara, M., & Mellar, H. (2010). Quality enhancement for e-learning courses: The role of student feedback. Computers & Education, 54(3), 709-714.
23. Kim, T. G., Lee, J. H., & Law, R. (2008). An empirical examination of the acceptance behaviour of hotel front office systems: An extended technology acceptance model. Tourism Management, 29(3), 500-513.
24. Lee, B. C., Yoon, J. O., & Lee, I. (2009). Learners' acceptance of e-learning in South Korea: Theories and results. Computers & Education, 53(4), 1320-1329.
25. Lee, J. W. (2010). Online support service quality, online learning acceptance, and student satisfaction. The Internet and Higher Education, 13(4), 277-283.
26. Lee, M. K. O., Cheung, C. M. K., & Chen, Z. (2005). Acceptance of Internet-based learning medium: The role of extrinsic and intrinsic motivation. Information & Management, 42(8), 1095-1104. (Pubitemid 41690943)
27. Lee, Y. C. (2006). An empirical investigation into factors influencing the adoption of an e-learning system. Online Information Review, 30(5), 517-541.
28. Liang, J. C., Wu, S. H., & Tsai, C. C. (2011). Nurses' Internet self-efficacy and attitudes toward web-based continuing learning. Nurse Education Today, 31(8), 768-773.
29. Lin, H. F. (2007). The role of online and offline features in sustaining virtual communities: An empirical study. Internet Research, 17(2), 119-138.
30. Lin, J. S., Lin, K. C., Jiang, W. W., & Lee, T. T. (2007). An exploration of nursing informatics competency and satisfaction related to network education. The Journal of Nursing Research, 15(1), 54-66.
31. Liu, I. F., Chen, M. C., Sun, Y. S., Wible, D., & Kuo, C. H. (2010). Extending the TAM model to explore the factors that affect intention to use an online learning community. Computers & Education, 54(2), 600-610.
32. Ngai, E. W. T., Poon, J. K. L., & Chan, Y. H. C. (2007). Empirical examination of the adoption of WebCT using TAM. Computers & Education, 48(2), 250-267. (Pubitemid 44573577)
33. Nunnally, J. C. (1978). Psychometric theory (2nd ed.). New York, NY: McGraw-Hill.
34. Ozkan, S., & Koseler, R. (2009). Multi-dimensional students' evaluation of e-learning systems in the higher education context: An empirical investigation. Computers & Education, 53(4), 1285-1296.
35. Pituch, K. A., & Lee, Y. K. (2006). The influence of system characteristics on e-learning use. Computers & Education, 47(2), 222-244. (Pubitemid 43792307)
36. Roca, J. C., Chiu, C. M., & Martínez, F. J. (2006). Understanding e-learning continuance intention: An extension of the technology acceptance model. International Journal of Human-Computer Studies, 64(8), 683-696.
37. Sánchez-Franco, M. J., Martínez-López, F. J., & Martín-Velicia, F. A. (2009). Exploring the impact of individualism and uncertainty avoidance in Web-based electronic learning: An empirical analysis in European higher education. Computers & Education, 52(3), 588-598.
38. Sheen, S. T. H., Chang, W. Y., Chen, H. L., Chao, H. L., & Tseng, C. P. (2008). E-learning education program for registered nurses: The experience of a teaching medical center. The Journal of Nursing Research, 16(3), 195-201.
39. Tung, F. C., & Chang, S. C. (2008). Nursing students' behavioral intention to use online courses: A questionnaire survey. International Journal of Nursing Studies, 45(9), 1299-1309.
40. Van der Heijden, H. (2004). User acceptance of hedonic information systems. MIS Quarterly, 28(4), 695-704.
41. Wu, P. H., Hwang, G. J., Tsai, C. C., Chen, Y. C., & Huang, Y. M. (2011). A pilot study on conducting mobile learning activities for clinical nursing courses based on the repertory grid approach. Nurse Education Today, 31(8), e8-e15.
42. Yu, S., Chen, I. J., Yang, K. F., Wang, T. F., & Yen, L. L. (2007). A feasibility study on the adoption of e-learning for public health nurse continuing education in Taiwan. Nurse Education Today, 27(7), 755-761.
43. Žsvanut, B., Pucer, P., Ličen, S., Trobec, I., Plazar, N., & Vavpotić, D. (2011). The effect of voluntariness on the acceptance of e-learning by nursing students. Nurse Education Today, 31(4), 350-355.