The past researches in the area of continuing IT (Information Technology) use has primarily focused on discussing how a rational appraisal process contributes to intention under the assumption that continuing IT use is mainly determined by intention. In recent years, more researchers started to question the importance of intention for continuing IT use, and some researchers have discussed the contribution of emotions in continuing IT use. Further, some researches proposed that the continuing IT use has nothing to do with cognition because of the external environment cues would trigger individual’s automatic IT use behavior as the continuing IT use becomes habitual.
This study is a step forward in defining a new way to explain continuing IT use and incorporating flow construct into continuing IT use research. Specifically, the purpose of this study is to confirm the relation between flow and automatic IT use and to explore the role of IT challenge as an environment cue in the context of continuing IT use. we use the term automatic IT use to represent the habitual IT use which is usually depicted as the continuing IT use,
We have developed a model suggesting that emotion can directly affect continuing IT use without intention. In particular, in our research model, we propose IT challenge which is a kind of environment cue to moderate the influence of enjoyment such that its importance in determining behavior increased as the individual perceived more IT challenge.
We empirically tested the model in the context of voluntary continued e-readers usage. The empirical results support the argument that the direct effects from emotions and the IT challenge as a moderating variable of the relationship between enjoyment and automatic IT use. The data also support that concentration is key to get to flow state in the context of e-reading.

1. Arts, H., and Dijksterhuis, A. 2000. ” The Automatic Activation of Goal-Directed Behaviour: The Case of Travel Habit,” Journal of Environmental Psychology (20:1), pp. 75-82.
2. Adler, A., Gujar, A., Harrison, B. L., O’Hara, K., and Sellen, A. 1998. “A Diary Study of Work-Related Reading: Design Implications for Digital Reading Devices, “In Proceedings ’98 Conference on Human Factors in Computing Systems,” ACM Press, Los Angeles, CA, April 18-23, pp. 241-248.
3. Agarwal, R., and Karahanna, E. 2000. “Time Flies When You’re Having Fun: Cognitive Absorption and Beliefs About Information Technology Usage,” MIS Quarterly (24:4), pp. 665-694.
4. Ajzen, I. 1991. “The theory of planned behavior,” Organ. Behavior and Human Decision Processes (50:2), pp. 179-211.
5. Ajzen, I. 2002. “Perceived Behavioral Control, Self-Efficacy, Locus of Control, and the Theory of Planned Behavior,” Journal of Applied Social Psychology (32), pp. 665–683.
6. Bajaj, A., and Nidumolu, S. R. 1998. “A Feedback Model to Understand Information System Usage,” Information and Management (33:4), pp. 213-224.
7. Bargh, J. A. 2002. “Losing Consciousness: Automatic Influences on Consumer Judgment, Behavior, and Motivation,” Journal of Consumer Research (29:2), pp. 280-285.
8. Brown, S. A., Fuller, R. M., and Vician, C. 2004. “Who’s Afraid of the Virtual World? Anxiety and Computer-Mediated Communication,” Journal of the Association for Information Systems (5:2), pp. 79-107.
9. Beaudry, A., and Pinsonneault, A. 2010. “The Other Side of Acceptance: Studying The Direct And Indirect Effects of Emotions on Information Technology Use,” MIS Quarterly (34:4) pp. 689-710.
10. Bhattacherjee, A. 2001. “Understanding Information Systems Continuance: An Expectation-Confirmation Model,” MIS Quarterly (25:3), pp. 351-370.
11. Bollen, K. A. 1989. “Structural Equations with Latent Variables,” John Wiley & Sons Inc., New York.
12. Bagozzi, R. P., and Yi, Y. 1988. “On the Evaluation of Structural Equation Models,” Journal of Academy Marketing Science (16:1), pp. 76-94.
13. Banbury, S. P., and Berry, D. C., 2005. “Office noise and employee concentration: Identifying causes of disruption and potential improvements,” Ergonomics (48:1), pp.25-37.
14. Bandura, A. 1982. “Self-efficacy mechanism in human agency,” Amer. Psychologist (37:2), pp. 122-147.
15. Barki, H., Titah, R., and Boffo, C. 2007. “Information System Use-Related Activity: An Expanded Behavioral Conceptualization of Individual-Level Information System Use,” Information Systems Research (18:2), pp. 173-192.
16. Chau, P. Y. K., and Lai, V. S. K. 2003. “An Empirical Investigation of the Determinants of User Acceptance of Internet Banking,” Journal of Organizational Computing and Electronic Commerce (13:2), pp. 123-145.
17. Csikszentmihalyi, M. 1975. “Play and intrinsic rewards,” Humanistic Psych (15), pp. 41-63.
18. Csikszentmihalyi, M. 1977. Beyond boredom and anxiety (2nd ed.), San Francisco: Jossey-Bass.
19. Csikszentmihalyi, M. 1990. Flow: The Psychology of Optimal Experience, New York: Harper and Row.
20. Csikszentmihalyi, M., and Rathunde, K. 1993. “The measurement of flow in everyday life: toward a theory of emergent motivation,” Nebraska Symposium on Motivation: Developmental perspectives on motivation, Current theory and research in motivation, Vol. 40 (pp. 57-97). Lincoln, NE, US: University of Nebraska Press, xiii, 299 pp.
21. Csikszentmihalyi, M. 1997. Finding Flow: The Psychology of Engagement With Everyday Life, Basic Books, New York.
22. Csikszentmihalyi, M. 1999. “If we are so rich, why aren't we happy?,” American Psychologist (54:10), pp. 821-827.
23. Cheung, C. M. K., and Limayen, M. 2005. “The Role of Habit in Information Systems Continuance: Examining the Evolving Relationship Between Intention and Usage,” in Proceedings of the 26th International Conference on Information Systems, D. Avison, D. Galletta, and J. I. DeGross (eds.), Las Vegas, NV, December 11-14, pp. 471-482.
24. Chen, H., Wigand, R., and Nilan, M. S. 1999. “Optimal Experience of Web Activities,” Computers in Human Behavior (15:5), pp. 585-608.
25. Chen, N., Guimbretiere, F., Dixon, M., Lewis, C., and Agrawala, M. 2008. “Navigation Techniques for Dual-Display E-Book Readers,” In Proceeding 98 Conference on Human Factors in Computing Systems, Florence, Italy, April 5-10.
26. Carlock, D. M., and Perry, A. M. 2008. “Exploring faculty experiences with e-books: a focus group,” Library Hi Tech (26:2), pp. 244-254.
27. Compeau, D., and Higgins, C. A. 1995. “Computer Self-Efficacy: Development of a Measure and Initial Test,” MIS Quarterly (19:2), pp. 189-211.
28. Davis, F. D. 1989. “Perceived usefulness, perceived ease of use, and user acceptance of information technology”, MIS Quarterly 13(3), 319–340
29. Desmet, P. M. A., Overbeeke, C. J., and Tax, S. J. E. T. 2001. “Designing Products With Added Emotional Value: Development and Application of an Approach for Research Through Design,” The Design Journal (4:1), pp. 32-47.
30. Desmet, P. M. A., Hekkert, P., and Jacobs, J. J. 2000. “When a Car Makes You Smile: Development and Application of an Instrument to Measure Product Emotions,” Advances in Consumer Research (27), pp. 111-117.
31. Donovan, R, J. and Rossiter, R. J. 1982. “Store Atmosphere: An Environmental Psychology Approach,” Journal of Retailing (58:1), pp. 34–57.
32. Efron, B., and Tibshirani, R. J. 1993. An Introduction to the Bootstrap (Monographs on Statistics and Applied Probability, # 57). New York: Chapman and Hall.
33. Fishbein, M., and Ajzen, I. 1975. Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research, Reading, MA: Addison-Wesley.
34. Fornell, C., and Larcker, D. F. 1981. “Evaluating Structural Equation Models with Unobservable Variables and Measurement Error,” Journal of Marketing Research (25), pp. 186-192.
35. Finneran, C. M., and Zhang, P. 2005. “Flow in Computer-Mediated Environments: Promises and Challenges,” Communications of the Association for Information Systems (15), pp.82-101.
36. Ghani, J. A., Supnick, R., and Rooney, P. 1991. “The experience of flow in computer-mediated and in face-to-face groups,” J. I. DeGross, I. Benbasat, G. DeSanctis, and C. M. Beath, eds. Proc. 12th Internat. Conf. Inform. Systems, New York, 229–237.
37. Ghani, J. A., and Deshpande S. P. 1994. “Task Characteristics and the Experience of Optimal Flow in Human-Computer Interaction,” The Journal of Psychology (128:4), pp. 381-391.
38. Ghani, J. A. 1995. “Flow in Human Computer Interactions: Test of a Model,” in Carey, J. (Ed.), Human Factors in Information Systems: Emerging Theoretical Bases, New Jersey: Ablex Publishing Corp, pp. 291-311,
39. Gratch, J. and Marsella, S. 2004. “A Domain-Independent Framework for Modeling Emotion,” Journal of Cognitive Systems Research (5), pp.269–306.
40. Hoffman, D., and Novak, T. 1996. “Marketing in Hypermedia Computer-Mediated Environments: Conceptual Foundations,” Journal of Marketing (60), pp. 50–68.
41. Hoffman, D., and Novak, T. 1997. “A New Marketing Paradigm for Electronic Commerce,” The Information Society (13), pp. 43–54.
42. Hsu, C.-L., and Lu, H.-P. 2004. “Why Do People Play On-Line Games-An Extended TAM with Social Influences and Flow Experience,” Information & Management (41:7), pp. 853-868.
43. Han, S., Lerner, J. S., and Keltner, D. 2007. “Feelings and Consumer Decision Making: The Appraisal-Tendency Framework,” Journal of Consumer Psychology (17:3), pp. 158-168.
44. Hudlicka, E. 2003. “To feel or not to feel: The role of affect in human-computer interaction,” International Journal of Human-Computer Studies (59), pp.1-32.
45. Hair, J. F., Jr., Anderson, R. E., Tatham, R. L. and Black, W. C.1995. Multivariate Data Analysis, 3rd ed, Macmillan Publishing Company, New York.
46. Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., and Tatham, R. L. 2010. Multivariate Data Analysis. Upper Saddle River, NJ: Pearson Education.
47. Hulland, J. 1999. “Use of partial least squares (PLS) in strategic management research: a review of four recent studies,” Strategic Management Journal (20), pp. 195–204.
48. Isen, A. M., Daubman, K. A., and Nowicki, G. P. 1987. “Positive Affect Facilitates Creative Problem Solving,” Journal of Personality and Social Psychology (52:6), pp. 1122-1131.
49. Jordan, P. W. 1998. “Human Factors for Pleasure in Product use,” Applied Ergonomics (29:1), pp. 25-33.
50. Jasperson, J. S., Carter, P. E., and Zmud, R. W. 2005. “A Comprehensive Conceptualization of Post-Adoptive Behaviors Associated with Information Technology Enabled Work Systems,” MIS Quarterly (29:3), pp. 525-557.
51. Karahanna, E., Detmar, W. S., and Norman, L. C. 1999. “Information Technology Adoption Across Time: A Cross-Sectional Comparison of Pre-Adoption and Post-Adoption Beliefs,” MIS Quarterly (23:2), pp. 183-213.
52. Kahn, B. E., and Isen, A. M. 1993. “The Influence of Positive Affect on Variety Seeking Among Safe, Enjoyable Products,” Journal of Consumer Research (20:2), pp. 257-270.
53. Kang, Y., Wang, M., and Ling, R. 2009. “Usability evaluation of e-books,” Displays (30), pp.49-52.
54. Kilgour, F. G. 1998. The Evolution of the Book, New York: Oxford University Press, pp. 151-160.
55. Koufaris, M. 2002. “Applying the Technology Acceptance Model and Flow Theory to On-Line Consumer Behavior,” Information System Research (13:2), pp. 205–223.
56. Kim, H. W., Chan, H. C., Chan, Y. P., and Gupta, S. 2004. “Understanding the Balanced Effects of Belief and Feeling on Information Systems Continuance,” in Proceedings of the 25 th International Conference on Information Systems, R. Agarwal, L. Kirsch, and J. I. DeGross (eds.), Washington, DC, December 12-15, pp. 297-310.
57. Kim, S. S., and Malhotra, N. K. 2005a. “A Longitudinal Model of Continued Is Use: An Integrative View of Four Mechanisms Underlying Postadoption Phenomena,” Management Science (51:5), pp. 741-755.
58. Kim, H. W., Chan, H. C., and Chan, Y. P. 2007. “A Balanced Thinking-Feeling Model of Information Systems Continuance,” International Journal of Human-Computer Studies (65), pp.511-525.
59. Klein, J., Moon, Y., Picard, R. W., 2002. “This computer responds to user frustration: theory, design, and results,” Interacting with Computers (14:2), pp.119-140.
60. Kwon, O., Choi, K., and Kim, M. 2007. “User acceptance of context-aware services: self-efficacy, user innovativeness and perceived sensitivity on contextual pressure,” Behaviour and Information Technology (26:6), pp. 483-498.
61. Koufteros, X.A. 1999. “Testing a model of pull production: A paradigm for manufacturing research using structural equation modeling,” Journal of Operations Management (17), pp. 467–488.
62. Lerner, J. S., and Keltner, D. 2000. “Beyond Valence: Toward a Model of Emotion-Specific Influences on Judgement and Choice,” Cognition and Emotion (14:4), pp. 473-493.
63. Larson, L.C. 2007. A case study exploring the ‘new literacies’ during a fifth-grade electronic reading workshop, Doctoral dissertation, Kansas State University. Retrieved February 19, 2010.
64. Larson, L. C. 2009. “e-Reading and e-Responding: New Tools for the Next Generation of Readers,” Journal of Adolescent & Adult Literacy (53:3), pp. 255–258.
65. Larson, L. C. 2010. “Digital Readers: The Next Chapter in E-Book Reading and Response,” The Reading Teacher (64:1), pp. 15-22.
66. Limayem, M., Hirt, S. G., and Chin, W. W. 2001. “Intention Does Not Always Matter: The Contingent Role of Habit on IT Usage Behavior,” in Proceedings of the 9th European Conference on Information Systems, Bled, Slovenia, June 27-29, pp. 274-286.
67. Loewenstein, G. F., Weber, E. U., Hsee, C. K., and Welch, E. S. 2001. “Risk as feelings,” Psychological Bulletin (127:2), pp. 267–286.
68. 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), pp. 65-97
69. Limayem, M., Cheung, M. K., and Hirt, S. G. 2007. “How Habit Limits the Predictive Power of Intention: The Case of Information Systems Continuance,” MIS Quarterly (31:4), pp. 705-737.
70. Mcquillan, J., and Conde, G. 1996. “The Conditions of Flow in Reading: Two Studies of Optimal Experience,” Reading Psychology: An International Quarterly (17), pp. 109-135.
71. McDonagh, D., Bruseberg, A., and Haslam, C. 2002. “Visual Product Evaluation: Exploring Users’ Emotional Relationships with Products,” Applied Ergonomics (33) pp. 231–240.
72. Martindale, M. J. 1993. “Mental models and text schemas: Why computer based tutorials should be considered a communication medium,” Journal of Computer-Based Instruction (20:4), pp. 107-112.
73. Mehrabian, A., and Russell, J. 1974. An Approach to Environmental Psychology, The MIT Press, Cambridge, MA.
74. Massimini, F., Csikszentmihalyi, M., and Delle Fave, A. 1988. “Flow and biocultural evolution,” In M. Csikszentmihalyi and I. Csikszentmihalyi (Eds.), Optimal experience: Psychological studies of flow in consciousness, pp. 60-84. Cambridge: Cambridge University Press.
75. Markus, M. L. 2005. “The Technology Shaping Effects of e-Collaboration Technologies—Bugs and Features,” International Journal of e-Collaboration (1:1), pp. 1-23.
76. Markus, M. L., and Silver, M. S. 2008. “A Foundation for the Study of IT Effects: A New Look at DeSanctis and Poole’s Concepts of Structural Features and Spirit,” Journal of the AIS (9:10/11 Special Issue), pp. 609-632.
77. Novak, T., Hoffman, D., and Yung, Y. 1998. “Modeling the structure of the flow experience among Web users,” Abstr. INFORMS Marketing Sci. Internet Mini-Conf., MIT.
78. Novak, T., Hoffman, D., and Yung, Y. 2000. “Measuring the Customer Experience in On-Line Environments: A Structural Modeling Approach,” Marketing Science (19: 1), pp. 22–42.
79. Nicolas, D., Rowlands, I., and Jamali, H. R. 2010. “E-textbook Use, Information Seeking Behaviour and Its Impact Case Study Business and Management,” Journal of Information Science (36:2), pp. 263–280.
80. Nicholas, D., Huntington, P., and Jamali, H. R. 2009. ”Student Digital Information-Seeking Behaviour in Context,” Journal of Documentation (65:1), pp. 106-132.
81. Norman, D. A. 1998. The invisible computer: Why Good Products Can Fail, the Personal Computer Is So Complex, and Information Appliances Are the Solution, Cambridge, MA: MIT Press.
82. O'Hara, K., and Sellen, A. 1997. “A Comparison of Reading Paper and Online Documents,” In Proceedings ’97, Conference on Human Factors in Computing Systems (Atlanta, GA), ACM Press, New York, NY, March 22-27, pp. 335–342.
83. Orbell, S., Blair, C., Sherlock, K., and Conner, M. 2001. “The Theory of Planned Behavior and Ecstasy Use: Roles for Habit and Perceived Control over Taking Versus Obtaining Substances,” Journal of Applied Social Psychology (31:1), pp. 31-47.
84. 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), pp.433-444.
85. Pilke, E. M. 2004. “Flow Experiences in Information Technology Use,” International Journal of Human-Computer Studies (61), pp.347-357.
86. Pattuelli, M. C., and Rabina, D. 2010. “Forms, Effects, Function: LIS Students’ Attitudes Towards Portable E-Book Readers,” Aslib Proceedings: New Information Perspectives (62:3), pp. 228-244.
87. Pearson, J., Buchanan, G., and Thimbleby, Harold. 2010. “HCI Design Principles for eReaders,” BooksOnline’10, Toronto, Ontario, Canada, October 26.
88. Pullman, P. 2004. The war on words, Guardian Review.
89. Ross, C. S. 1999. “Finding Without Seeking: The Information Encounter in The Context of Reading for Pleasure,” Information Processing and Management (35), pp.783-799.
90. Rosenblatt, L.M. 1978. The reader, the text, the poem: The transactional theory of the literary work, Carbondale: Southern Illinois University Press.
91. Rafaeli, A., and Vilnai-Yavetz, I. 2004. “Emotion as a Connection of Physical Artifacts and Organizations,” Organization Science (15:6), pp.671-686.
92. Rivlin, L. G. 1974. “Freedom of Choice and Behavior in a Physical Setting,” in Environmental Psychology, ed. Harold M. Proshansky et al., New York: Holt, Rinehart & Winston, pp. 170-181.
93. Raubenheimer, J. E. 2004. “An item selection procedure to maximize scale reliability and validity,” South African Journal of Industrial Psychology (30:4), pp. 59–64.
94. Saba, A., and di Natale, R. 1998. “Attitudes, Intention and Habit: Their Role in Predicting Actual Consumption of Fats and Oils,” Journal of Human Nutrition and Dietetics (11:1), pp. 21-32.
95. Shelburne, W.A. 2009. ” E-book Usage in An Academic Library: User Attitudes and Behaviors,” Library Collections, Acquisitions, & Technical Services (33), pp. 59–72.
96. Sharafi, P., Heidman, L., and Montgomery, H. 2006. “Using information technology:Engagement modes, flow experience, and personality orientations,” Computers in Human Behavior (22), pp. 899–916.
97. Straub, D., Boudreau, M., and Gefen, D. 2004. “Validation Guidelines for IS Positivist Research,” Communications of the Association for Information Systems (13:24).
98. Thatcher, J. B., and Perrewe, P. L. 2002. “An Empirical Examination of Individual Traits as Antecedents to Computer Anxiety and Computer Self-Efficacy,” MIS Quarterly (26:4), pp. 381-396.
99. Taylor, S., and Todds, P. A. 1995. “Understanding Information Technology Usage: A Test of Competing Models,” Information Systems Research (6:2), pp. 144-176.
100. Trevino, L. K., and Webster, J. 1992. “Flow in Computer-Mediated Communication: Electronic Mail and Voice Mail Evaluation and Impacts,” Communication Research (19:5), pp. 539-573.
101. Thong, J. Y. L., Hong, S. J., and Tam, K. Y. 2006. “The effects of post-adoption beliefs on the expectation-confirmation model for information technology continuance,” International Journal of Human–Computer Systems (64), pp.799–810.
102. Venkatesh, V., and Davis, F. D. 2000. “A theoretical extension of the technology acceptance model: Four longitudinal field studies”, Management Science (46:2), pp.186–204.
103. Verkanplen, B., and Orbell, S. 2003. “Reflections on Past Behavior: A Self-Reported Index of Habit Strength,” Journal of Applied Social Psychology (33:6), pp. 1313-1330.
104. Venkatesh, V., Morris, M. G., Davis, G. B., and Davis, F. D. 2003. “User acceptance of information technology: Toward a unified view,” MIS Quarterly (27:3), pp.425–478.
105. Verplanken, V. 2006. “Beyond Frequency: Habit as Mental Construct,” British Journal of Social Psychology (45:3), pp. 639-656.
106. Venkatesh, V., and Bala, H. 2008. “Technology Acceptance Model 3 and a Research Agenda on Interventions,” Decision Sciences (39:2), pp.273–315.
107. Vassiliou, M., and Rowley, J. 2008. “Progressing the Definition of E-book,” Library Hi Tech (26:3), pp. 355-368.
108. Woody, W. D., Daniel, D. B., and Baker, C. A. 2010. “E-books or Textbooks: Students Prefer Textbooks,” Computers & Education (55), pp.945–948.
109. Wood, W., Quinn, J. M., and Kashy, D. A. 2002. “Habits in Everyday Life: Thought, Emotion, and Action,” Journal of Personality and Social Psychology (83:6), pp. 1281-1297.
110. Warshaw, P. R., and Davis, F. D. “The Accuracy of Behavioral Intention Versus Behavioral Expectation for Predicting Behavioral Goals,” Journal of Psychology (119:6), 1985a, pp. 599-602.
111. Warshaw, P. R., and Davis, F. D. “Disentangling Behavioral Intention and Behavioral Expectation,” Journal of Experimental Social Psychology (21:3), 1985b, pp. 213-228.
112. Warshaw, P. R., and Davis, F. D. “Self-Understanding and the Accuracy of Behavioral Expectations,” Personality and Social Psychology Bulletin (10:1), 1984, pp. 111-118.
113. Webster, J., Trevino, L. K., and Ryan, L. 1993. “The Dimensionality and Correlates of Flow in Human-Computer Interactions,” Computers in Human Behavior (9), pp.411-426.
114. Yang, Z., Jun, M., Peterson, R. T. 2004. “Measuring customer perceived online service quality: scale development and managerial implications,” International Journal of Operations & Production Management (24:11), pp. 1149-1174.
115. Zhang, P., Li, N., and Sun, H. 2006. “Affective Quality and Cognitive Absorption: Extending Technology Acceptance Research,” in Proceedings of the 39th Hawaii International Conference on Systems Sciences, Los Alamitos, CA: IEEE Computer Society Press, pp. 207a.