Contemporary information systems alternative models to TAM: A theoretical perspective

Handbook of Research on Contemporary Theoretical Models in Information Systems

Volumn , Issue , 2009, Pages 229-241

  Mahfouz, Ahmed Y ^a  

^a PRAIRIE VIEW A AND M UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 79952962488     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.4018/978-1-60566-659-4.ch013     Document Type: Chapter

References (48)

1. Agrawal, R., & Karahanna, E. (2000). Time flies when you're having fun: Cognitive absorption and beliefs about information technology usage. MIS Quarterly, 24(4), 665-694.
2. Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211.
3. Assael, H. (1998). Consumer behavior and marketing action. Cincinnati, OH: South Western College Publishing.
4. Bagozzi, R. P. (2007). The legacy of the technology acceptance model and a proposal for a paradigm shift. Journal of the Association for Information Systems, 8(4), 244-254.
5. Bem, D. J. (1972). Self-perception theory. In L. Berkowitz (Ed.), Advances in experimental social psychology (vol. 6) (pp. 1-62). New York: Academic Press.
6. Bem, D. J. (1967). Self-perception: An alternative interpretation of cognitive dissonance phenomena. Psychological Review, 74(3), 183-200.
7. Benbasat, I., & Barki, H. (2007). Quo vadis, TAM? Journal of the Association for Information Systems, 8(4), 211-218.
8. Bettman, J. R. (1986). Consumer psychology. Annual Review of Psychology, 37, 257-289.
9. Chen, H., Wigand, R. T., & Nilan, M. S. (1999). Optimal experience of web activities. Computers in Human Behavior, 15(5), 585-608.
10. Csikszentmihalyi, M. (2000). Beyond boredom and anxiety: Experiencing flow in work and play. San Francisco: Jossey-Bass Publishers.
11. Csikszentmihalyi, M. (1975). Beyond boredom and anxiety: Experiencing flow in work and play. San Francisco: Jossey-Bass Publishers.
12. Csikszentmihalyi, M. (1997). Finding flow: The psychology of engagement with everyday life. New York: Basic Books.
13. Csikszentmihalyi, M. (1990). Flow: The psychology of optimal experience. New York: Harper and Row, Publishers, Inc.
14. Csikszentmihalyi, M., & Rathunde, K. (1993). The measurement of flow in everyday life: Toward a theory of emergent motivation. In J. E. Jacobs (Ed.), Nebraska symposium on motivation 1992 (pp. 57-97). Lincoln, NE: University of Nebraska Press.
15. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340.
16. Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 5(8), 982-1003.
17. Festinger, L. (1957). A theory of cognitive dissonance. Stanford, CA: Stanford University Press.
18. Fishbein, M. (1967). Attitude and the prediction of behavior. In M. Fishbein (Ed.), Readings in attitude theory and measurement (pp. 477-492). New York: John Wiley.
19. Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley Publishing Company.
20. Guo, Y., & Poole, M. S. (in press). Antecedents of flow in online shopping: A test of alternative models. Information Systems Journal.
21. Heijden, H., Verhagen, T., & Creemers, M. (2003). Understanding online purchase intentions: Contributions from technology and trust perspectives. European Journal of Information Systems, 12(1), 41-48.
22. Hirschheim, R. (2007). Introduction to the special issue on quo vadis TAM - issues and reflections on technology acceptance research. Journal of the Association for Information Systems, 8(4), 203-205.
23. Hoffman, D. L., & Novak, T. P. (1996). Marketing in hypermedia computer-mediated environments: Conceptual foundations. Journal of Marketing, 60(3), 50-68.
24. Jennings, A. S. (2002). Creating an interactive science murder mystery game: The optimal experience of flow. IEEE Transactions on Professional Communication, 45(4), 297-301.
25. Kamis, A., Koufaris, M., & Stern, T. (2008). Using an attribute-based decision support system for user-customized products online: An experimental investigation. MIS Quarterly, 32(1), 159-177.
26. Koufaris, M. (2002). Applying the technology acceptance model and flow theory to online consumer behavior. Information Systems Research, 13(2), 205-223.
27. Krugman, H. E. (1965). The impact of television advertising: Learning without involvement. Public Opinion Quarterly, 29(3), 349-356.
28. Lang, A. (1995). Defining audio/video redundancy from a limited-capacity information processing perspective. Communication Research, 22(1), 86-115.
29. Lang, A. (2000). The limited capacity model of mediated message processing. Journal of Communication, 50(1), 46-70.
30. Lowry, P. B., Karuga, G. G., & Richardson, V. J. (2007). Assessing leading institutions, faculty, and articles in premier information systems research journals. Communications of the Association for Information Systems, 20(16), 142-203.
31. Mathieson, K. (1991). Predicting user intentions: Comparing the technology acceptance model with the theory of planned behavior. Information Systems Research, 2(3), 173-191.
32. McMillan, S. J. (2002). Exploring models of interactivity from multiple research traditions: Users, documents, and systems. In L. Lievrouw & S. Livingstone (Eds.), The handbook of new media (pp. 163-182). Thousand Oaks, CA: Sage Publications.
33. Miller, G. A. (1956). The magical number seven, plus or minus two: Some limits on our capacity for processing information. Psychological Review, 63(2), 81-97.
34. Nah, F., & Benbasat, I. (2004). Knowledge-based support in a group decision making context: An Expert-novice comparison. Journal of the Association for Information Systems, 5(3), 125-150.
35. Novak, T. P., Hoffman, D. L., & Duhachek, A. (2003). The influence of global-directed and experiential activities on online flow experiences. Journal of Consumer Psychology, 13(1/2), 3-16.
36. Novak, T. P., Hoffman, D. L., & Yung, Y. (2000). Measuring the customer experience in online environments: A structural modeling approach. Marketing Science, 19(1), 22-42.
37. Reagan-Cirincione, P. (1994). Improving the accuracy of group judgment: A process intervention combining group facilitation, social judgment analysis, and information technology. Organizational Behavior & Human Decision Processes, 58(2), 246-270.
38. Schmitt, B. H. (2003). Customer experience management: A revolutionary approach to connecting with your customers. Hoboken, NJ: John Wiley and Sons.
39. Schmitt, B. H. (1999). Experiential marketing: How to get customers to sense, feel, think, act, and relate to your company and brands. New York: The Free Press.
40. Sherif, C., Sherif, M., & Nebergall, R. (1965). Attitude and attitude change: The social judgment-involvement approach. Philadelphia: Saunders.
41. Skadberg, Y. X., & Kimmel, J. R. (2004). Visitors' flow experience while browsing a web site: Its measurement, contributing factors, and consequences. Computers in Human Behavior, 20(3), 403-422.
42. Swartout, W., & Van Lent, M. (2003). Making a game of system design. Communications of the ACM, 46(7), 32-39.
43. Sweller, J. (1988). Cognitive load during problem solving: Effects on learning. Cognitive Science, 12(2), 257-285.
44. Szajna, B., & Scamell. R. W. (1993). Information system user expectations on their performance and perceptions. MIS Quarterly, 17(4), 493-516.
45. Trevino, L. K., & Webster, J. (1992). Flow in computer-mediated communication, Communication Research, 19(5), 539-573.
46. Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478.
47. Webster, J., & Martocchio, J. J. (1992). Micro-computer playfulness: Development of a measure with workplace implications. MIS Quarterly, 16(2), 201-226.
48. Webster, J., Trevino, L. K., & Ryan, L. (1993). The dimensionality and correlates of flow in human-computer interactions. Computers in Human Behavior, 9(4), 411-426.