Explaining Instant Messaging Continuance Intention: The Role of Personality

International Journal of Human-Computer Interaction

Volumn 28, Issue 8, 2012, Pages 500-510

  Wang, Wei ^a   Ngai, Eric W T ^b   Wei, Haiying ^a  

^a JINAN UNIVERSITY   (China)

^b HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

ONLINE SYSTEMS; SURVEYS;

CONTINUANCE INTENTIONS; PERCEIVED ENJOYMENT; PERCEIVED USEFULNESS; PERSONALITY CHARACTERISTIC; PERSONALITY TRAITS; PSYCHOLOGICAL RESEARCH; PUBLIC UNIVERSITIES; TECHNOLOGY CONTINUANCES;

MESSAGE PASSING;

EID: 84863493426     PISSN: 10447318     EISSN: 15327590     Source Type: Journal    
DOI: 10.1080/10447318.2011.622971     Document Type: Article

References (52)

1. Agarwal, R. and Prasad, J. 1999. Are individual differences germane to the acceptance of new information technologies?. Decision Sciences, 30: 361-391.
2. Ajzen, I. and Fishbein, M. 1980. Understanding attitudes and predicting social behavior, Englewood Cliffs, NJ: Prentice-Hall.
3. Anderson, E. W. and Sullivan, M. W. 1993. The antecedents and consequences of customer satisfaction for firms. Marketing Science, 12: 125-143.
4. Barrick, M. R. and Mount, M. K. 1991. The big five personality dimensions and job performance: A meta-analysis. Personnel Psychology, 44(1): 1-26.
5. Barrick, M. R., Mount, M. K. and Judge, T. A. 2001. Personality and performance at the beginning of the new millennium: What do we know and where do we go next?. International Journal of Selection Assessment, 9(1/2): 9-30.
6. Bhattacherjee, A. 2001. Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly, 25: 351-370.
7. Bhattacherjee, A., Perols, J. and Sanford, C. 2008. Information technology continuance: A theoretic extension and empirical test. The Journal of Computer Information Systems, 49(1): 17-26.
8. Bono, J. E. and Judge, T. A. 2004. Personality and transformational and transactional leadership: A meta-analysis. Journal of Applied Psychology, 89: 901-910.
9. CNNIC. (2010). Twenty-sixth statistical survey report on the Internet development in China. http://research.cnnic.cn
10. Costa, P. T. and McCrae, R. R. 1992. Revised NEO personality inventory (NEO PI-R) and Neo Five-Factor Inventory (NEO-FFI) professional manual, Odessa, FL: Psychological Assessment Resources.
11. Czerwinski, M., Cutrell, E. and Horvitz, E. December 4-8 2000a. Instant messaging and interruption: Influence of task type on performance, December 4-8, 356-361. Sydney, Australia: Paper presented at OZCHI 2000 Conference.
12. Czerwinski, M., Cutrell, E. and Horvitz, E. 2000b. "Instant messaging: Effects of relevance and time". In People and computers XIV: Proceedings of HCI 2000, Edited by: Turner, S. and Turner, P. Vol. 2, 71-76. British Computer Society.
13. 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.
14. Davis, F. D., Bagozzi, R. P. and Warshaw, P. R. 1992. Extrinsic and intrinsic motivation to use computers in the workplace. Journal of Applied Social Psychology, 22: 1111-1132.
15. Deci, E. L. and Ryan, R. M. 1985. Intrinsic motivation and self-determination in human behavior, New York, NY: Plenum.
16. Devaraj, S., Easley, R. F. and Crant, J. M. 2008. How does personality matter? Relating the five-factor model to technology acceptance and use. Information Systems Research, 19: 93-105.
17. Digman, J. M. 1990. Personality structure: Emergence of the five-factor model. Annual Review of Psychology, 41: 417-440.
18. Feist, G. J. 1998. A meta-analysis of personality in scientific and artistic creativity. Personality and Social Psychology Bulletin, 2: 290-309.
19. Fisher, V. E. and Hanna, J. V. 1931. The dissatisfied worker, New York, NY: Macmillan.
20. Fornell, C. and Larcker, D. F. 1981. Evaluating structural equation models with observable variables and measurement error. Journal of Marketing Research, 18: 39-50.
21. Fulk, J. 1993. Social construction of communication technology. Academy of Management Journal, 36: 921-950.
22. Gallivan, M. J., Spitler, V. K. and Koufaris, M. 2005. Does information technology training really matter? A social information processing analysis of coworkers' influence on IT usage in the workplace. Journal of Management Information Systems, 22: 153-192.
23. Garrett, R. K. and Danziger, J. N. 2008. IM = interruption management? Instant messaging and disruption in the workplace. Journal of Computer-Mediated Communication, 13: 23-42.
24. Gay, G., Stefanone, M., Grace-Martin, M. and Hembrooke, H. 2001. The effects of wireless computing in collaborative learning environments. International Journal of Human-Computer Interaction, 13: 257-276.
25. George, J. M. and Zhou, J. 2001. When openness to experience and conscientiousness are related to creative behavior: An interactional approach. Journal of Applied Psychology, 86: 513-524.
26. Goldberg, L. R. 1990. An alternative "description of personality": The big-five factor structure. Journal of Personality and Social Psychology, 59: 1216-1229.
27. Graziano, W. G. and Eisenberg, N. H. 1997. "Agreeableness: A dimension of personality". In Handbook of personality psychology, Edited by: Hogan, R., Johnson, J. and Briggs, S. 795-824. San Diego, CA: Academic Press.
28. Hair, J. F., Anderson, R. E., Tatham, R. L. and Black, W. C. 1998. Multivariate data analysis, New York, NY: Prentice Hall.
29. Hong, S., Thong, J. Y. L. and Tam, K. Y. 2006. Understanding continued information technology usage behavior: A comparison of three models in the context of mobile internet. Decision Support Systems, 42: 1819-1834.
30. Hsieh, J. P. A. and Wang, W. 2007. Explaining employees' extended use of complex information systems. European Journal of Information Systems, 16: 216-227.
31. Karahanna, E., Straub, D. W. and Chervany, N. L. 1999. Information technology adoption across times: A cross-sectional comparison of pre-adoption and post-adoption beliefs. MIS Quarterly, 23: 183-213.
32. Lee, M.-C. and Tsai, T.-R. 2010. What drives people to continue to play online games? An extension of technology model and theory of planned behavior. International Journal of Human-Computer Interaction, 26: 601-620.
33. Li, D., Chau, P. Y. K. and Lou, H. 2005. Understanding individual adoption of instant messaging: An empirical investigation. Journal of Association for Information Systems, 6: 102-129.
34. Limayem, M., Hirt, S. G. and Cheung, C. M. K. 2007. How habit limits the predictive power of intention: The case of information systems continuance. MIS Quarterly, 31: 705-737.
35. Lin, C. S., Wu, S. and Tsai, R. J. 2005. Integrating perceived playfulness into expectation-confirmation model for web portal context. Information & Management, 42: 683-693.
36. Nunnally, J. C. and Bernstein, I. H. 1994. Psychometric theory, 3rd, New York, NY: McGraw-Hill.
37. Oliver, R. L. 1993. Cognitive, affective, and attribute bases of the satisfaction response. Journal of Consumer Research, 20: 418-430.
38. Organ, D. W. and Lingl, A. 1995. Personality, satisfaction, and organizational citizenship behavior. Journal of Social Psychology, 135: 339-350.
39. Qiu, L. and Benbasat, I. 2005. Online consumer trust and live help interfaces: The effects of text-to-speech voice and three-dimensional avatars. International Journal of Human-Computer Interaction, 19(1): 75-94.
40. Rogers, E. M. 2003. Diffusion of innovation, 5th, New York, NY: Free Press.
41. Soe, L. and Markus, M. L. 1993. Technological or social utility? Unraveling explanations of email, vmail, and fax use. The Information Society, 9: 231-236.
42. Teo, T. S. H., Lim, V. K. G. and Lai, R. Y. C. 1999. Intrinsic and extrinsic motivation in internet usage. Omega, 27: 25-37.
43. Thong, J. Y. L., Hong, S.-J. and Tama, K. Y. 2006. The effects of post-adoption beliefs on the expectation-confirmation model for information technology continuance. International Journal of Human-Computer Studies, 64: 799-810.
44. Tiwana, A. and Bush, A. 2005. Continuance in expertise-sharing networks: A social perspective. IEEE Transactions on Engineering Management, 52: 85-101.
45. Van der Heijden, H. 2004. User acceptance of hedonic information systems. MIS Quarterly, 28: 695-704.
46. Venkatesh, V. 2000. Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information Systems Research, 11: 342-365.
47. Venkatesh, V., Morris, M. G. and Ackerman, P. L. 2000. A longitudinal field investigation of gender differences in individual technology adoption decision making processes. Organizational Behavior and Human Decision Processes, 83: 36-60.
48. Wang, W. 2009. Innovative use of enterprise systems by employees: An investigation from the human side, Beijing, China: Economy & Management Publishing House.
49. Wang, W. and Hsieh, J. P. A. 2006. Beyond routine: Symbolic adoption, extended use, and emergent use of complex information systems in the mandatory organizational context. Proceedings of the Twenty-Seventh International Conference on Information Systems,
50. Wang, W., Hsieh, J. P.-A., Butler, J. and Hsu, S.-H. 2008. Innovate with complex information technologies: A theoretical model and empirical examination. Journal of Computer Information Systems, 49: 27-36.
51. Watson, D. and Clark, L. A. 1997. "Extraversion and its positive emotional core". In Handbook of personality psychology, Edited by: Hogan, R., Johnson, J. and Briggs, S. 767-793. San Diego, CA: Academic Press.
52. Zmud, R. W. 1979. Individual differences and MIS success: A review of the empirical literature. Management Science, 25: 966-979.