Continuance intention of blog users: The impact of perceived enjoyment, habit, user involvement and blogging time

Behaviour and Information Technology

Volumn 32, Issue 6, 2013, Pages 570-583

  Shiau, Wen Lung ^a   Luo, Margaret Meiling ^b  

^a MING CHUAN UNIVERSITY   (Taiwan)

^b Strayer University   (United States)

Author keywords

blog; continuance intention; expectation confirmation theory; perceived enjoyment; user involvement

Indexed keywords

BLOG; CONTINUANCE INTENTIONS; EXPECTATION CONFIRMATION THEORY; PERCEIVED ENJOYMENT; USER INVOLVEMENT;

HUMAN COMPUTER INTERACTION; SOCIAL SCIENCES;

BLOGS;

EID: 84879338353     PISSN: 0144929X     EISSN: 13623001     Source Type: Journal    
DOI: 10.1080/0144929X.2012.671851     Document Type: Article

References (94)

1. Aarts, H., Verplanken, B., and Knippenberg, A.V., 1998 Predicting behavior from actions in the past: repeated decision making or a matter of habit. Journal of Applied Social Psychology, 28 (15), 1355-1374
2. Ajzen, I., 1991 The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179-211
3. Amoako-Gyampah, K., 2007 Perceived usefulness, user involvement and behavioral intention: an empirical study of ERP implementation. Computers in Human Behavior, 23 (3), 1232-1248
4. Amoako-Gyampah, K and White, K.B., 1993. User involvement and user satisfaction: an exploratory contingency model. Information & Management, 25 (1), 1-10
5. Andrews, J.C and Terence, A.S., 1990. Effects of involvement, argument strength, and source characteristics on central and peripheral processing of advertising. Psychology and Marketing, 7 (3), 195-214
6. Arnold, B., 2008 Caslon analytics blogging [online]. Available from: http://www.caslon.com.au/weblogprofile1. htm [Accessed 10 March 2010]
7. Bagozzi, R.P., 1981. Attitudes, intentions and behavior: a test of some key hypotheses. Journal of Personality and Social Psychology, 41 (4), 607-627
8. Bagozzi, R.P and Yi, Y., 1988. On the evaluation of structural equation models. Journal of the academy of marketing science, 16 (1), 74-94
9. Barki, H and Hartwick, J., 1989. Rethinking the concept of user involvement. MIS Quarterly, 13 (1), 53-63
10. Barki, H and Hartwick, J., 1994. Measuring user participation, user involvement, and user attitude. MIS Quarterly, 18 (1), 59-82
11. Baroudi, J.J., et al., 1986. An empirical study of the impact of user involvement on system usage and information satisfaction. Communications of the ACM, 29 (3), 232-238
12. Bem, D.J., 1972. Self-perception theory. Advances in Experimental Social Psychology, 6, 1-62
13. Bentler, P.M. and Bonett, D.G., 1980. Significant tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin, 88 (3), 588-606
14. Bergeron, F., et al., 1995. Determinants of EIS use: testing a behavioral model. Decision Support Systems, 14 (2), 131-146
15. Bhattacherjee, A., 2001a. Understanding information systems continuance: an expectation-confirmation model. MIS Quarterly, 25 (3), 321-370
16. Bhattacherjee, A., 2001b. An empirical analysis of the antecedents of electronic commerce service continuance. Decision Support Systems, 32 (2), 201-214
17. Bollen, K.A., 1989. A new incremental fit index for general structural equation models. Sociological Methods and Research, 17 (3), 303-316
18. Brucks, M., 1985. The effects of product class knowledge on information search behavior. Journal of Consumer Research, 12 (6), 1-16
19. Charltona, J.P. and Danforthb, I.D.W., 2007. Distinguishing addiction and high engagement in the context of online game playing. Computers in Human Behavior, 23 (3), 1531-1548
20. Chea, S. and Luo, M.M., 2008. Post-adoption behaviors of eservice customers: the interplay of cognition and emotion. International Journal of Electronic Commerce, 12 (3), 29-56
21. Cox, J.L., Martinez, E.R., and Quinlan, K.B., 2008. Blogs and the corporation: managing the risk, reaping the benefits. The Journal of Business Strategy, 29 (3), 4-12
22. Dabholkar, P.A., Shepherd, C.D., and Thorpe, D.I., 2000. A comprehensive framework for service quality: an investigation of critical conceptual and measurement issues through a longitudinal study. Journal of Retailing, 76 (2), 139-173
23. Damodaran, L., 1996. User involvement in the systems design process -a practical guide for users Behaviour & Information Technology, 15 (6), 363-377
24. 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 (14), 1111-1132
25. Delle Fave, A. and Massimini, F., 2005. The investigation of optimal experience and apathy -development and psychological implications European Psychologist, 10 (4), 264-274
26. Ditsa, G., 2003. Information management: support systems & multimedia technology. Hershey, PA: IRM Press, 109-155
27. Du, H.S. and Wagner, C., 2006. Weblog success: exploring the role of technology. International Journal of Human-Computer Studies, 64, 789-798
28. Festinger, L., 1957. A theory of cognitive dissonance. Evanston, IL: Row, Peterson.
29. Furukawa, T., et al., 2006. Users' behavioral analysis on weblogs. Available from: http://aaaipress.org/Papers/Symposia/Spring/2006/SS-06-03/SS06- 03-007.pdf [Accessed 1 February 2012]
30. Gracie, L.B. and Rita, K., 2005. Blogs in campaign communication. The American Behavioral Scientist, 49 (4), 548-559
31. Gefen, D., 2003. TAM or just plain habit: a look at experienced online shoppers. Journal of End User Computing, 15 (3), 1-13
32. Ha, I., Yoon, Y., and Chio, M., 2007. Determinants of adoption of mobile games under mobile broadband wireless access environment. Information & Management, 44 (3), 276-286
33. Hair, J.F., et al., 2006. Multivariate data analysis. 6th ed. Upper Saddle River, New Jersey: Prentice Hall
34. Helson, H., 1964. Adaptation-level theory: an experimental and systematic approach to behavior. New York: Harper & Row.
35. Hsu, C.L. and Lin, J.C.C., 2008. Acceptance of blog usage: the roles of technology acceptance, social influence and knowledge sharing motivation. Information & Management, 45 (1), 65-74
36. PTT, 2011. PTT services. [online]. Source. Available from: http://www.ptt.cc/index.html [Accessed 1 June 2011]
37. Hu, L. and Bentler, P.M., 1999. Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Structural Equation Modeling, 6 (1), 1-55
38. Hwang, M.I. and Thorn, R.G., 1999. The effect of user engagement on system success: a meta-analytical integration of research findings. Information & Management, 35 (4), 229-236
39. Igbaria, M., Iivari, J., and Maragahh, H., 1995. Why do individuals use computer technology? A Finnish case study. Information & Management, 29 (5), 227-238
40. Jackson, C.M., Chow, S., and Leitch, R.A., 1997. Toward an understanding of the behavioral intention to use an information system. Decision Sciences, 28 (2), 357-389
41. Johnson, E.J. and Russo, J.E., 1984. Product familiarity and learning new information. Journal of Consumer Research, 11 (1), 542-550
42. Kang, Y., Hong, S., and Lee, H., 2009. Exploring continued online service usage behavior: the roles of self-image congruity and regret. Computers in Human Behavior, 25 (1), 111-122
43. Kim, H.N., 2008. The phenomenon of blogs and theoretical model of blog use in educational contexts. Computers & Education, 51 (3), 1342-1352
44. Kim, S.S. and Malhotra, N.K., 2005. A longitudinal model of continued IS use: an integrative view of four mechanisms underlying post adoption phenomena. Management Sciences, 51 (5), 741-755
45. Koufaris, M., 2002. Applying the technology acceptance model and flow theory to online consumer behavior. Information Systems Research, 13 (2), 205-223
46. Krugman, H.E., 1965. The impact of television advertising: learning without involvement. Public Opinion Quarterly, 29 (3), 349-356
47. Kujala, S., 2003. User involvement: a review of the benefits and challenges. Behaviour & Information Technology, 22 (1), 1-16
48. LaRose, R., 2010. The problem of media habits. Communication Theory, 20 (2), 194-222
49. LaRose, R., Lin, C.A., and Eastin, M.S., 2003. Unregulated Internet usage: addiction, habit, or deficient self-regulation? Media Psychology, 5 (3), 225-253
50. Lee, M., 2010. Explaining and predicting users' continuance intention toward e-learning: an extension of the expectation-confirmation model. Computers & Education, 54 (2), 506-516
51. Liao, C., Palvia, P., and Lin, H.N., 2006. The roles of habit and Web site quality in e-commerce. International Journal of Information Management, 26 (6), 469-483
52. Limayem, M. and Hirt, S.G., 2003. Force of habit and information systems usage: theory and initial validation. Journal of the Association for Information Systems, 4 (1), 65-97
53. Limayem, M., Hirt, S.G., and Cheung, C.M.K., 2007. How habit limits the predictive power of intention: the case of information system continuance. MIS Quarterly, 31 (4), 705-737
54. Lin, C.S., Wu, S., and Tsai, R.J., 2005. Integrating perceived playfulness into expectation-confirmation model for Web portal context. Information & Management, 42 (5), 683-693
55. Liu, D.R., Tsai, P.Y., and Chiu, P.H., 2011. Personalized recommendation of popular blog articles for mobile applications. Information Sciences, 181 (9), 1552-1572
56. Lu, L.C. and Yeh, C.L., 2008. Collaborative e-learning using semantic course blog. International Journal of Distance Education Technologies, 6 (3), 85-95
57. MacCallum, R.C., Browne, M.W., and Sugawara, H.M., 1996. Power analysis and determination of sample size for covariance structure modeling. Psychological Methods, 1 (2), 130-149
58. Marlatt, G.A., et al., 1988. Addictive behaviors: etiology and treatment. Annual Review of Psychology, 39 (1), 223-252
59. MaryAnne, A. and Christine, K., 1997. Individual characteristics associated with World Wide Web use: an empirical study of playfulness and motivation. ACM SIGMIS Database, 28 (2), 53-62
60. McGill, T. and Klobas, J., 2008. User developed application success: sources and effects of involvement. Behaviour & Information Technology, 27 (5), 407-422
61. McGuire, W.J., 1974. Psychological motives and communication gratification: the uses of mass communications. Beverly Hills, CA: Sage
62. Norman, P., Conner, M., and Bell, R., 2000. The theory of planned behaviour and exercise: evidence for the moderating role of past behaviour. British Journal of Health Psychology, 5 (3), 249-261
63. Novak, T.P., Hoffman, D.L., and Yung, Y.F., 2000. Measuring the customer experience in online environments: a structural modeling approach. Marketing Science, 19 (1), 22-42
64. Noyes, J.M., Starr, A.F., and Frankish, C.R., 1996. User involvement in the early stages of the development of an aircraft warning system. Behaviour & Information Technology, 15 (2), 67-75
65. Nysveen, H., Pedersen, P.E., and Thorbjornsen, H., 2005. Explaining intention to use mobile chat services: moderating effects of gender. The Journal of Consumer Marketing, 22 (5), 247-256
66. Oliver, R.L., 1980. A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of Marketing Research, 17 (4), 460-469
67. Oliver, R.L., 1993. Cognitive, affective, and attribute bases of the satisfaction response. Journal of Consumer Research, 20 (3), 418-430
68. Ortiz de Guinea, A. and Markus, M.L., 2009. Why break the habit of a lifetime? Rethinking the roles of intention, habit, and emotion in continuing information technology use. MIS Quarterly, 33 (3), 433-444
69. Ouellette, J.A. and Wood, W., 1998. Habit and intention in everyday life: the multiple processes by which past behavior predicts future behavior. Psychological Bulletin, 124 (1), 54-74
70. Park, C.W. and Lessig, V.P., 1981. Familiarity and its impact on consumer decision biases and heuristics. Journal of Consumer Research, 8 (2), 223-230
71. Petty, R.E., Cacioppo, J.T., and Schumann, D., 1983. Central and peripheral routes to advertising effectiveness: the moderating role of involvement. Journal of Consumer Research, 10 (2), 135-146
72. Pikkarainen, T., et al., 2004. Consumer acceptance of online banking: an extension of the technology acceptance model. Internet Research, 14 (3), 224-235
73. Punj, G.N. and Staelin, R., 1983. A model of consumer information search behavior for new automobiles. Journal of Consumer Research, 9 (4), 366-380
74. Rouibah, K., Hamdy, H.I., and Al-Enezi, M.Z., 2009. Effect of management sport, training, and user involvement on system usage and satisfaction in Kuwait. Industrial Management & Data Systems, 109 (3), 338-356
75. Santosa, P.I., Wei, K.K., and Chan, H.C., 2005. User involvement and user satisfaction with information-seeking activity. European Journal of Information Systems, 14 (4), 361-370
76. Scott, J.E., 1995. The measurement of information system effectiveness: evaluating a measuring instrument. ACM SIGMIS Database, 26 (1), 43-61
77. Serenko, A., Bontis, N., and Detlor, B., 2007. End-user adoption of animated interface agents in everyday work applications. Behaviour & Information Technology, 26 (2), 119-132
78. Sherif, M. and Cantril, H., 1947. The psychology of egoinvolvements: social attitudes and identifications. Hoboken, NJ: John Wiley
79. Shin, D.H., 2009. An empirical investigation of a modified technology acceptance model of IPTV. Behaviour & Information Technology, 28 (4), 361-372
80. Swinyard, W.R., 1993. The effects of mood, involvement, and quality of store experience on shopping intentions. Journal of Consumer Research, 20 (2), 271-280
81. Technorati, 2009. State of the blogosphere [online]. Available from: http://technorati.com/blogging/feature/state-of-theblogosphere-2009/[Accessed 1 May 2010]
82. Thompson, R.L., Higgins, C.A., and Howell, J.M., 1994. Influence of experience on personal computer utilization: testing a conceptual model. Journal of Management Information Systems, 11 (1), 167-187
83. Triandis, H.C., 1980. Values, attitudes, and interpersonal behavior. In: H.E. Howe and M.M. Page, eds. Beliefs, attitudes, and values. Lincoln: University of Nebraska Press, 195-259
84. Turel, O. and Serenko, A., 2011. Developing a (bad) habit: antecedents and adverse consequences of social networking website use habit. In: AMCIS 2011 proceedings
85. Van der Heijden, H., 2003. Factors influencing the usage of websites: the case of a generic portal in the Netherlands. Information & Management, 40 (6), 541-549
86. Verplanken, B., et al., 1998. Habit versus planned behavior: a field experiment. British Journal of Social Psychology, 37 (1), 111-128
87. Williams, J.B. and Jacobs, J., 2004. Exploring the use of blogs as learning spaces in the higher education sector. Australasian Journal of Educational Technology, 20, 232-247
88. Winn, P., 2009. State of the blogosphere: introduction [online]. Available from: http://technorati.com/blogging/article/state-of-the-blogosphere- introduction/[Accessed 1 May 2010]
89. Wood, W., Tam, L., and Witt, M.G., 2005. Changing circumstances, disrupting habits. Journal of Personality and Social Psychology, 88 (6), 918-933
90. Wu, M.C. and Kuo, F.Y., 2008. An empirical investigation of habitual usage and past usage of technology acceptance evaluations and continuance intention. The Database for Advances in Information Systems, 39 (4), 48-73
91. Yu, T.K., Lu, L.C., and Liu, T.F., 2010. Exploring factors that influence knowledge sharing behavior via Weblogs. Computers in Human Behavior, 26 (1), 32-41
92. Zaichkowsky, J.L., 1985. Measuring the involvement construct. Journal of Consumer Research, 12 (3), 341-352
93. Zaichkowsky, J.L., 1986. Conceptualizing involvement. Journal of Advertising, 15 (2), 4-14
94. Zaichkowsky, J.L., 1994. The personal involvement inventory: reduction, revision, and application to advertising. Journal of Advertising, 23 (4), 59-70.