[1]
Pi Wenya. Relationship with The Hospital Information System and Management [J]. Computer CD Software and Applications. 2013, 16(7): 33-44.
Google Scholar
[2]
ZhengXue. Personality Psychology [M]. Guangzhou: Guangdong Higher Education Press. 2004: 37-39.
Google Scholar
[3]
Schkade, J. K., & Schultz, S. Occupational adaptation: Toward a holistic approach for contemporary practice, part 1. The American Journal of Occupational Therapy, 1992, 46(9): 829-837.
DOI: 10.5014/ajot.46.9.829
Google Scholar
[4]
Peng Danling. General Psychology [M]. Beijing: Beijing Normal University Press. (2004).
Google Scholar
[5]
Wang, W., Ngai, E. W., & Wei, H. Explaining Instant Messaging Continuance Intention: The Role of Personality. International Journal of Human-Computer Interaction, 2012, 28(8): 500-510.
DOI: 10.1080/10447318.2011.622971
Google Scholar
[6]
Mc. Crae. RR, Paul . T, Costa. J. The Five-Factor Theory of Personality [J] . PMC. 2008, 42(3): 577–598.
Google Scholar
[7]
Barrick, M. R., & Mount, M. K. The big five personality dimensions and job performance: a meta‐analysis. Personnel psychology. 1991, 44(1) : 1-26.
DOI: 10.1111/j.1744-6570.1991.tb00688.x
Google Scholar
[8]
George, J. M., & Zhou, J. When openness to experience and conscientiousness are related to creative behavior: an interactional approach. Journal of Applied Psychology, 2001, 86(3): 513-524.
DOI: 10.1037/0021-9010.86.3.513
Google Scholar
[9]
Devaraj, S., Easley, R. F., & Crant, J. M. Research note-how does personality matter? Relating the five-factor model to technology acceptance and use. Information Systems Research, 2008, 19(1), 93-105.
DOI: 10.1287/isre.1070.0153
Google Scholar
[10]
Bhattacherjee, A. Understanding information systems continuance: an expectation-confirmation model. MISQ, 2001, 25(3), 351-370.
DOI: 10.2307/3250921
Google Scholar
[11]
Kim, S. S., & Malhotra, N. K. A longitudinal model of continued IS use: An integrative view of four mechanisms underlying postadoption phenomena. Management science, 2005, 51(5): 741-755.
DOI: 10.1287/mnsc.1040.0326
Google Scholar
[12]
Limayem, M., Hirt, S. G., & Cheung, C. M. How habit limits the predictive power of intention: the case of information systems continuance. Mis Quarterly, 2007, 705-737.
DOI: 10.2307/25148817
Google Scholar
[13]
Limayem, M., & Cheung, C. M. Understanding information systems continuance: The case of Internet-based learning technologies. Information & Management, 2008, 45(4), 227-232.
DOI: 10.1016/j.im.2008.02.005
Google Scholar
[14]
Bansal, G., Zahedi, F., & Gefen, D. The impact of personal dispositions on information sensitivity, privacy concern and trust in disclosing health information online. Decision Support Systems, 2010, 49(2), 138-150.
DOI: 10.1016/j.dss.2010.01.010
Google Scholar
[15]
Sargeant, A., West, D. C., & Jay, E. The relational determinants of nonprofit web site fundraising effectiveness: An exploratory study. Nonprofit Management and Leadership, 2007, 18(2), 141-156.
DOI: 10.1002/nml.178
Google Scholar
[16]
Lee, Y. C. The role of perceived resources in online learning adoption. Computers & Education, 2008, 50(4): 1423-1438.
DOI: 10.1016/j.compedu.2007.01.001
Google Scholar
[17]
Yoon, C. The effects of national culture values on consumer acceptance of e-commerce: Online shoppers in China. Information & Management, 2009, 46(5), 294-301.
DOI: 10.1016/j.im.2009.06.001
Google Scholar
[18]
Malhotra, Y., Galletta, D. F., & Kirsch, L. J. How endogenous motivations influence user intentions: Beyond the dichotomy of extrinsic and intrinsic user motivations. Journal of Management Information Systems, 2008, 25(1), 267-300.
DOI: 10.2753/mis0742-1222250110
Google Scholar
[19]
Fornell, C., & Larcker, D. F. Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 1981, 18(1), 39-50.
DOI: 10.1177/002224378101800104
Google Scholar
[20]
Song Baoxiang, Wang W. Empirical study of personality effects on instant messaging continuing use. Soft Science. 2011, 25(1): 95-101.
Google Scholar