Information technology adoption behavior life cycle: Toward a Technology Continuance Theory (TCT)

International Journal of Information Management

Volumn 29, Issue 4, 2009, Pages 309-320

  Liao, Chechen ^a   Palvia, Prashant ^a   Chen, Jain Liang ^a  

^a NONE   (United States)

Author keywords

Adoption behavior; Cognitive Model (COG); Expectation Confirmation Model (ECM); Expectation Disconfirmation Model (EDM); Moderator; Technology Acceptance Model (TAM); Technology Continuance Theory

Indexed keywords

LIFE CYCLE; MODERATORS;

ADOPTION BEHAVIOR; COGNITIVE MODEL; EXPECTATION DISCONFIRMATION MODEL (EDM); EXPECTATION-CONFIRMATION MODELS; TECHNOLOGY ACCEPTANCE MODEL; TECHNOLOGY CONTINUANCES;

BEHAVIORAL RESEARCH;

EID: 66649099634     PISSN: 02684012     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijinfomgt.2009.03.004     Document Type: Article

References (54)

1. Ajzen I. The theory of planned behavior. Organizational Behavior and Human Decision Process 50 (1991) 179-211
2. Anderson E.W., and Sullivan M.W. The antecedents and consequences of customer satisfaction for firms. Marketing Science 12 2 (1993) 125-143
3. Bandura A. Social foundations of thought and action: A social cognitive theory (1986), Prentice Hall, Englewood Cliffs, NJ
4. Bentler P.M. EQS structural equations program manual (1989), BMDP Statistical Software, Los Angeles
5. Bhattacherjee A. Understanding information system continuance: An expectation-confirmation model. MIS Quarterly 25 3 (2001) 351-370
6. Bhattacherjee A., and Premkumar G. Understanding changes in belief and attitude toward information technology usage: A theoretical model and longitudinal test. MIS Quarterly 28 2 (2004) 229-254
7. Bollen K.A. Structural equations with latent variables (1989), Wiley, New York
8. Bolton R.N., and Drew J.H. A longitudinal analysis of the impact of service changes on customer attitudes. Journal of Marketing 55 1 (1991) 1-9
9. Chau P.Y.K. An empirical assessment of a modified technology acceptance model. Journal of Management Information Systems 13 2 (1996) 185-204
10. Churchill G.A., and Suprenant C. An investigation into the determinants of customer satisfaction. Journal of Marketing Research 19 4 (1982) 491-504
11. Davis, F. D. (1986). A technology acceptance model for empirically testing new end-user information systems: theory and results. Unpublished Doctoral Dissertation. Sloan School of Management, Massachusetts Institute of Technology.
12. Davis F.D., Bagozzi R.P., and Warshaw P.R. User acceptance of computer technology: a comparison of two theoretical models. Management Science 35 8 (1989) 982-1002
13. Festinger L.A. A theory of cognitive dissonance (1957), Row and Peterson, Evanston, IL
14. Fishbein M., and Ajzen I. Belief, attitude, intention, and behavior: An introduction to theory and research (1975), Addison-Wesley, MA
15. Fornell C., and Larcker D.F. Evaluating structural equations with unobservable variables and measurement error. Journal of Marketing Research 18 1 (1981) 39-50
16. Gallivan M.J. Organizational adoption and assimilation of complex technological innovations: Development and application of a new framework. Data Base Advances 32 (2001) 51-86
17. Gefen D., Karahanna E., and Straub D.W. Inexperience and experience with online stores: the importance of TAM and trust. IEEE Transactions on Engineering Management 50 3 (2003) 307-321
18. Grover V., Teng J., Segars A.H., and Fiedler K. The influence of information technology diffusion and business process change on perceived productivity: The IS executive's perspective. Information & Management 34 3 (1998) 141-159
19. Hair Jr. J.F., Anderson R.E., Tatham R.L., and Black W.C. Multivariate data analysis. 5th ed. (1998), Prentice-Hall, New Jersey
20. Henry J.W., and Stone R.W. A structural equation model of end-user satisfaction with a computer-based medical information systems. Information Resources Management Journal 7 3 (1994) 21-33
21. Hunt H.K. CS/D-overview and future research directions. In: Hunt H.K. (Ed). Conceptualization and measurement of consumer satisfaction and dissatisfaction (1977), Marketing Science Institute, Cambridge, MA
22. Jasperson J.S., Carter P.E., and Zmud R.W. A comprehensive conceptualization of post-adoption behaviors associated with information technology enabled work systems. MIS Quarterly 29 3 (2005) 525-558
23. Karahanna E., Straub D.W., and Chervany N.L. Information technology adoption across time: A cross-sectional comparison of pre-adoption and post-adoption beliefs. MIS Quarterly 23 2 (1999) 183-213
24. Lai V.S., and Li H. Technology acceptance model for Internet banking. Information & Management 42 2 (2005) 373-386
25. LaTour S.A., and Peat N.C. Conceptual and methodological issues in consumer satisfaction research. In: Wilkie W.L. (Ed). Advances in consumer research, vol. 8 (1979), Association for Consumer Research, Ann Arbor, MI 431-437
26. Mao E., and Palvia P. Testing an extended model of IT acceptance in the Chinese cultural context. Data Base 37 2 & 3 (2006) 20-32
27. Mathieson K., Peacock E., and Chin W.W. Extending the technology acceptance model: The influence of perceived user resources. The Data Base for Advances in Information Systems 32 3 (2001) 86-112
28. McKinney V., Yoon K., and Zahedi F.M. The measurement of web-customer satisfaction: an expectation and disconfirmation approach. Information System Research 13 3 (2002) 296-315
29. Oliver R.L. A cognitive model for the antecedents and consequences of satisfaction. Journal of Marketing Research 17 (1980) 460-469
30. Oliver R.L. Measurement and evaluation of satisfaction processes in retail settings. Journal of Retailing 57 3 (1981) 25-48
31. Oliver R.L. Cognitive, affective, and attribute bases of the satisfaction response. Journal of Consumer Research 20 (1993) 418-430
32. Oliver R.L. Satisfaction: a behavioral perspective on the consumer (1997), Irwin/McGraw-Hill, New York
33. Oliver R.L., and Burke R.R. Expectation process in satisfaction formation: a field study. Journal of Service Research 1 3 (1999) 196-214
34. Patterson P.G., Johnson L.W., and Spreng R.A. Modeling the determinants of customer satisfaction for business-to-business professional services. Journal of the Academy of Marketing Science 25 1 (1997) 4-17
35. Piaget J. Six psychological studies, Anita Tenzer (Trans.) (1968), Vintage Books, New York
36. Pinsonneault A., and Kraemer K.L. Survey research methodology in management information systems: an assessment. Journal of Management Information Systems 10 2 (1993) 75-105
37. Rogers E.M. Diffusion of innovation. 5th ed. (2003), The Free Press, NY
38. Scott J.E. The measurement of information systems effectiveness: Evaluating a measuring instrument. Proceedings of the fifteenth international conference on information systems. Vancouver, British Columbia (1994) 111-128
39. Shih H.P. Extended technology acceptance model of Internet utilization behavior. Information & Management 41 6 (2004) 719-730
40. Shih H.P. An empirical study on predicting user acceptance of e-shopping on the Web. Information & Management 41 3 (2004) 351-368
41. Spreng R.A., and Chiou J.S. A cross-cultural assessment of the satisfaction formation process. European Journal of Marketing 36 7/8 (2002) 829-839
42. Spreng R.A., MacKenzie S.B., and Olshavsky R.W. A reexamination of the determinants of consumer satisfaction. Journal of Marketing 60 1 (1996) 15-32
43. Sun H., and Zhang P. The role of moderating factors in user technology acceptance. International Journal of Human-Computer Studies 64 2 (2006) 53-78
44. Swanson E.B., and Ramiller N.C. Innovating mindfully with information technology. MIS Quarterly 28 4 (2004) 553-583
45. Taylor S., and Todd P. Assessing IT usage: the role of prior experience. MIS Quarterly 19 4 (1995) 561-570
46. Tse D.K., and Wilton P.C. Models of consumer satisfaction: an extension. Journal of Marketing Research 25 (1988) 204-212
47. Van Montfort K., Masurel E., and Van Rijn I. Service satisfaction: An empirical analysis of consumer satisfaction in financial services. The Service Industries Journal 20 3 (2000) 80-94
48. Venkatesh V. Determinants of perceived easy of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information Systems Research 11 4 (2000) 342.s-365
49. Venkatesh V., and Davis F.D. A model of the antecedents of perceived easy of use: Development and test. Decision Science 27 3 (1996) 451-481
50. Venkatesh V., and Davis F.D. A theoretical extension of the technology acceptance model: four longitudinal field studies. Management Science 46 2 (2000) 186-204
51. Venkatesh V., Morris M.G., Davis G., and Davis F.D. User acceptance of information technology: Toward a unified view. MIS Quarterly 27 3 (2003) 425-477
52. Vijayasarathy L.R. Predicting consumer intentions to use on-line shopping: The case for an augmented technology acceptance model. Information & Management 41 6 (2003) 747-762
53. Yu J., Ha I., Choi M., and Rho J. Extending the TAM for a t-commerce. Information & Management 42 7 (2005) 965-976
54. Zhu K., Kraemer K.L., and Xu S. The process of innovation assimilation by firms in different countries: A technology diffusion perspective on e-business. Management Science 52 10 (2006) 1557-1576