An empirical study of the impact of trial experiences on the continued usage of mobile newspapers

PACIS 2010 - 14th Pacific Asia Conference on Information Systems

Volumn , Issue , 2010, Pages 1148-1159

  Wang, Ting ^a   Oh, Lih Bin ^a   Wang, Kanliang ^a   Zhang, Bo ^a  

^a XI'AN JIAOTONG UNIVERSITY   (China)

Author keywords

Continued it usage; ECM IT; Mobile data services

Indexed keywords

CONCEPTUAL MODEL; CONTINUED IT USAGE; ECM-IT; EMPIRICAL STUDIES; MOBILE DATA SERVICE; MOBILE SERVICE; PURCHASE DECISION; USAGE INTENTION;

INFORMATION SYSTEMS;

NEWSPRINT;

EID: 84862956322     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (48)

1. Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211.
2. Barclay, D., Higgins, C., and Thompson, R. (1995). The Partial Least Squares (PLS) Approach to Causal Modeling: Personal Computer Adoption and Use as an Illustration. Technology Studies, 2(2), 285-309.
3. Bhattacherjee, A. (2001a). An empirical analysis of the antecedents of electronic commerce service continuance. Decision Support Systems, 32(2), 201-214.
4. Bhattacherjee, A. (2001b). Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly, 25(3), 351-370.
5. Chin, W. W., and Todd, P. A. (1995). On the Use, Usefulness, and Ease of Use of Structural Equation Modeling in MIS Research: A Note of Caution. MIS Quarterly, 19(2), 237-246.
6. Chinamobile. (2007). New Business: M-News, from http://www.chinamobile. com/en/mainland/products/nb09.html.
7. CNNIC. (2009). China Mobile Media Survey Report, from http://www.cnnic.cn/uploadfiles/pdf/2009/2/19/162704.pdf.
8. Cooper, R. B., and Zmud, R. W. (1990). Information Technology Implementation Research: A Technological Diffusion Approach. Management Science, 36(2), 123-139.
9. Cronin, J. J., Brady, M., and Hult, T. (2000). Assessing the effects of quality, value, and customer satisfaction on consumer behavioral intention in service environments. Journal of Retailing, 76(2), 193-218.
10. Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319-340.
11. Davis, F. D., Bagozzi, R. P., and Warshaw, P. R. (1989). User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science, 35(8), 982-1003.
12. Falk, R., and Miller, N. B. (1992). A Primer for Soft Modeling. Akron, OH: University of Akron Press.
13. Festinger, L. A. (1957). A Theory of Cognitive Dissonance. Evanston, IL: Row and Peterson.
14. Fishbein, M., and Ajzen, I. (1975). Belief, attitude, intention, and behavior : An introduction to theory and research. Don Mills, Ontario: Addison-Wesley Pub. Co.
15. Fornell, C., and Larcker, D. F. (1981). Evaluating structural equation models with unobserved variables and measurement error. Journal of Marketing Research, 18(1), 39-50.
16. Fornell, C., Tellis, G. L., and Zinkhan, G. M. (1982). Validity Assessment: A Structural Equations Approach Using Partial Least Squares. Paper presented at the American Marketing Association Educators' Conference, Chicago.
17. Helson, H. (1964). Adaptation-Level Theory. New York: Harper & Row.
18. Hong, S.-J., Thong, J. Y. L., Moon, J.-Y., and Tam, K.-Y. (2008). Understanding the behavior of mobile data services consumers. Information Systems Frontiers, 10(4), 431-445.
19. Hong, S.-J., Thong, J. Y. L., and Tam, K.-Y. (2006). Understanding Continued Information Technology Usage Behavior: A Comparison of Three Models in the Context of Mobile Internet. Decision Support Systems, 42(3), 1819-1834.
20. Howard, J. A., and Sheth, J. N. (1969). The Theory of Buyer Behavior. New York: John Wiley & Sons.
21. Hung, M. C., Hwang, H. G., and Hsieh, T. C. (2007). An Exploratory Study on the Continuance of Mobile Commerce: An Extended Expectation-confirmation Model of Information System Use. International Journal of Mobile Communications, 5(4), 409-422.
22. Imielinski, T., and Badrinath, B. R. (1994). Mobile wireless computing. Communications of the ACM, 37(10), 19-28.
23. Karahanna, E., Straub, D. W., and Chervany, N. L. (1999). Information Technology Adoption Across Time: A Cross-Sectional Comparison of Pre-Adoption and Post-Adoption Beliefs. MIS Quaterly, 23(2), 183-213.
24. Kim, B., Choi, M., and Han, I. (2009). User behaviors toward mobile data services: The role of perceived fee and prior experience. Expert Systems with Applications, 36(4), 8528-8536.
25. Kim, H.-W., Chan, H. C., and Gupta, S. (2007). Value-based Adoption of Mobile Internet: An empirical investigation. Decision Support Systems, 43(1), 111 -126.
26. LaTour, S. A., and Peat, N. C. (1980). The role of situationally-produced expectations, others' experiences, and prior experience in determining consumer satisfaction. In J. C.Olson (Ed.), Advances in Consumer Research (Vol. 7, pp. 588-592). Ann Arbor, MI: Association for Consumer Research.
27. Leung, C. H., Chan, Y. Y., and Chan, C. S. C. (2003). Analysis of mobile commerce market in Hong Kong. Paper presented at the The 5th International Conference on Electronic Commerce, Pittsburgh, Pennsylvania.
28. Monroe, K. B., and Krishnan, R. (1985). Perceived quality. In J. Jacoby and J. Olson (Eds.), The effect of price on subjective product evaluations (pp. 209-232). Lexington, MA: Lexington Books.
29. Moon, J.-W., and Kim, Y.-G. (2001). Extending the TAM for a World-Wide-Web context. Information & Management, 38(4), 217-230.
30. Moore, G. C., and Benbasat, I. (1991). Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research, 2(3), 192-222.
31. NAA. (2008). Statistics and Additional Resources. Retrieved January 10, 2010, from http://www.naa.org/Resources/Articles/Digital-Media-Moving-to-Mobile- Resources/Digital-Media-Moving-to-Mobile-Resources.aspx.
32. Nunnally, J. C. (1978). Psychometric Theory (second ed.). New York: McGraw Hill.
33. Oliver, R. L., and DeSarbo, W. S. (1988). Response determinants in satisfaction judgments. Journal of Consumer Research, 14(4), 495-507.
34. Petrick, J. F. (2002). Development of a Multi-Dimensional Scale for Measuring the Perceived Value of a Service. Journal of Leisure Research, 34(2), 119-134.
35. Premkumar, G., and Bhattacherjee, A. (2008). Explaining information technology usage: A test of competing models. OMEGA, 36(1), 64-75.
36. Ringle, C. M., Wende, S., and Will, S. (2005). SmartPLS (Version 2.0 (M3) Beta). Hamburg: http://www.smartpls.de.
37. Rivard, S., and Huff, S. (1988). Factors of success for end user computing. Communications of the ACM, 31(5), 552-561.
38. Smith, R. E., and Swinyard, W. R. (1983). Attitude-Behavior Consistency: The Impact of Product Trial versus Advertising. Journal of Marketing Research, 20(3), 257-267.
39. Spreng, R. A., MacKenzie, S. B., and Olshavsky, R. W. (1996). A Reexamination of the Determinants of Consumer Satisfaction. Journal of Marketing Research, 60(3), 15-32.
40. Sweeney, J. C., and Soutar, G. N. (2001). Consumer perceived value: The development of a multiple item scale. Journal of Retailing, 77(2), 203-220.
41. Thaler, R. (1985). Mental accounting and consumer choice. Marketing Science 4(3), 199-214.
42. 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 Studies, 64(9), 799-810.
43. Van der Heijden, H. (2004). User Acceptance of Hedonic Information Systems. MIS Quarterly, 28(4), 695-704.
44. 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), 425-478.
45. Wang, D., Xu, L., and Chan, H. C. (2008). Understanding Users' Continuance of Facebook: The Role of General and Specific Computer Self-Efficacy. Paper presented at the Twenty Ninth International Conference on Information Systems, Paris.
46. Ward, J., and Hansen, K. A. (1997). Search Strategies in Mass Communication. White Plains, NY: Longman.
47. Yi, M. Y., and Davis, F. D. (2003). Developing and Validating an Observational Learning Model of Computer Software Training and Skill Acquisition. Information Systems Research, 14(2), 146-169.
48. Yi, Y. (1990). A Critical Review of Consumer Satisfaction. In V. A. Zeithaml (Ed.), Review of Marketing (pp. 68-123). Chicago: American Marketing Association.