A unified model of IT continuance: Three complementary perspectives and crossover effects

European Journal of Information Systems

Volumn 24, Issue 4, 2015, Pages 364-373

  Bhattacherjee, Anol ^a   Lin, Chieh Peng ^b  

^a UNIVERSITY OF SOUTH FLORIDA   (United States)

^b NATIONAL CHIAO TUNG UNIVERSITY   (Taiwan)

Author keywords

disconfirmation; perceived performance; perceived usefulness; satisfaction; subjective norm

Indexed keywords

INFORMATION SYSTEMS;

DISCONFIRMATION; PERCEIVED PERFORMANCE; PERCEIVED USEFULNESS; SATISFACTION; SUBJECTIVE NORM;

INSURANCE;

EID: 84953874821     PISSN: 0960085X     EISSN: 14769344     Source Type: Journal    
DOI: 10.1057/ejis.2013.36     Document Type: Review

References (31)

1. 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), 665-694.
2. AJZEN I (1991) The theory of planned behavior. Organizational Behavior & Human Decision Processes 50(2), 179-211.
3. ANDERSON JC and GERBING DW (1988) Structural equation modeling in practice: a review and recommended two-step approach. Psychological Bulletin 103(3), 411-423.
4. BHATTACHERJEE A (2001) Understanding information systems continuance: an expectation-confirmation model. MIS Quarterly 25(3), 351-370.
5. BHATTACHERJEE A and PREMKUMAR G (2004) Understanding changes in belief and attitude towards information technology usage: a theoretical model and longitudinal test. MIS Quarterly 28(2), 229-254.
6. DAVIS FD (1989) Perceived usefulness, perceived ease of use, and user acceptance of information technology.MIS Quarterly 13(3), 319-339.
7. DOONG H-S and LAI H (2008) Exploring usage continuance of e-negotiation systems: expectation and disconfirmation approach. Group Decision & Negotiation 17(2), 111-126.
8. FISHBEIN M and AJZEN I (1975) Belief Attitude, Intention and Behavior. Addison-Wesley, Reading, MA.
9. FORNELL C and LARCKER DF (1981) Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research 18(1), 39-50.
10. GEFEN D (2003) TAM or just plain habit: a look at experienced online shoppers. Journal of End User Computing 15(3), 1-13.
11. JASPERSON JS, CARTER PE and ZMUD RW (2005) A comprehensive conceptualization of post-adoptive behaviors associated with information technology enabled work systems. MIS Quarterly 29(3), 525-557.
12. KARAHANNA E, STRAUB DW and CHERVANY NL (1999) Information technology adoption across time: a cross-sectional comparison of pre-adoption and post-adoption belief. MIS Quarterly 23(2), 183-213.
13. KEIL M,MANN J and RAI A (2000) Why software projects escalate: an empirical analysis and test of four theoretical models. MIS Quarterly 24(4), 631-664.
14. KIM SS andMALHOTRA NK (2005) A longitudinal model of continued IS use: an integrative view of four mechanisms underlying postadoption phenomena. Management Science 51(5), 741-755.
15. LIMAYEM M and HIRT SG (2003) Force of habit and information systems usage: theory and initial validation. Journal of the Association for Information Systems 4(1), 65-97.
16. LIMAYEM M, HIRT SG and CHEUNG CMK (2007) How habit limits the predictive power of intention: the case of information systems continuance. MIS Quarterly 31(4), 705-737.
17. LIN CP and BHATTACHERJEE A (2008) Elucidating individual intention to use interactive information technologies. The role of network externalities. International Journal of Electronic Commerce 13(1), 85-108.
18. LIN CP and BHATTACHERJEE A (2009) Understanding online social support and its antecedents: a socio-cognitive model. Social Science Journal 46(4), 724-737.
19. ORTIZ DE GUINEA A and MARKUS ML (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.
20. OUELLETTE JA 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.
21. POOLE MS and VAN DE VEN AH (1989) Using paradox to build management and organization theories. The Academy of Management Review 14(4), 562-578.
22. SCHEIER MF and CARVER CS (1982) Cognition, affect, and self-regulation. In Affect and Cognition (CLARK MS and FISKE ST, Eds.), pp 157-183, Erlbaum, Hillsdale, NJ.
23. SCHILLING MA (2002) Technology success and failure in winner-take-all markets: the impact of learning orientation, timing, and network externalities. Academy of Management Journal 45(2), 387-398.
24. SHEPPARD BH, HARTWICK J and WARSHAW P (1988) The theory of reasoned action: a meta-analysis of past research with recommendations for modifications and future research. Journal of Consumer Research 15(3), 325-343.
25. SVEJVIG P. and PRIES-HEJE J. (2011) Enterprise systems outsourcing 'behind the curtain': a case study showing how rational and institutional explanations coexist and complement each other. International Journal of Enterprise Information Systems 7(1), 1-17.
26. TENG J, GROVER V and GÜTTLER W (2002) Information technology innovations: general diffusion patterns and its relationships to innovation characteristics. Transactions on Engineering Management 49(1), 13-27.
27. VENKATESH V and MORRIS MG (2000) Why don't men ever stop to ask for directions? Gender, social influence, and their role in technology acceptance and usage behavior. MIS Quarterly 24(1), 115-139.
28. VENKATESH V, MORRIS M, DAVIS GB and DAVIS FD (2003) User acceptance of information technology: toward a unified view. MIS Quarterly 26(4), 425-478.
29. VERPLANKEN V (2006) Beyond frequency: habit as mental construct. British Journal of Social Psychology 45(3), 639-656.
30. WOOD W, QUINN JM and KASHY DA (2002) Habits in everyday life: thought, emotion, and action. Journal of Personality and Social Psychology 83(6), 1281-1297.
31. YI Y (1990) A critical review of consumer satisfaction. In Review of Marketing (ZEITHMAL VA, Ed.), pp 68-123, American Marketing Association, Chicago.