Multimedia messaging service acceptance of pre- And post-adopters: A sociotechnical perspective

International Journal of Mobile Communications

Volumn 6, Issue 5, 2008, Pages 598-615

  Hsu, Huei Hsia ^a   Lu, Hsi Peng ^a   Hsu, Chin Lung ^b  

^a NATIONAL TAIWAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

^b DA YEH UNIVERSITY   (Taiwan)

Author keywords

MMS; Mobile internet; Multimedia messaging service; Post adopters; Pre adopters; SE; SN; Social emotion; Social influence theory; Social norm; Social perspective; TAM; Technology acceptance model; User perceived resource

Indexed keywords

KILLER APPLICATIONS; MOBILE INTERNET; MULTIMEDIA MESSAGING SERVICE (MMS); SOCIAL INFLUENCE THEORY; SOCIAL PERSPECTIVE; TECHNOLOGICAL FACTORS; TECHNOLOGY ACCEPTANCE MODEL (TAM);

MESSAGE PASSING;

EID: 46949098298     PISSN: 1470949X     EISSN: None     Source Type: Journal    
DOI: 10.1504/IJMC.2008.019324     Document Type: Article

References (54)

1. Agarwal, R. and Prasad, J. (1997) 'The role of innovation characteristics and perceived voluntaries in the acceptance of information technologies', Decision Sciences, Vol. 28, pp.557-582.
2. Ajzen, I. (1985) 'From intention to actions: a theory of planned behavior', in J. Kuhl and J. Bechmann (Eds), Action Control from Cognition to Behavior (pp.11-39). New York, NY: Springer.
3. Ajzen, I. (1991) 'The theory of planned behavior', Organizational Behavior and Human Decision Process, Vol. 50, pp. 179-211.
4. Allen, J.P. (2003) 'The evolution of new mobile applications: a sociotechnical perspective', Int. J. Electronic Commerce, Vol. 8, pp.23-36.
5. Bernheim, B.D. (2000) 'A theory of conformity', Journal of Political Economy, University of Chicago Press, Vol. 102, pp.841-877.
6. Burnkrant, R.E. and Cousineau, A. (1975) 'Informational and normative social influence in buyer behavior', Journal of Consumer Research, Vol. 2, pp.206-215.
7. Chau, P.Y.K. (1996) 'An empirical assessment of modified technology acceptance model', Journal of Management Information Systems, Vol. 13, pp. 185-204.
8. Chen, L., Gillenson, M.L. and Sherrell, D.L. (2002) 'Enticing online consumers: an extended technology acceptance perspective', Information and Management, Vol. 39, pp.705-719.
9. Chen, P.Y. and Hitt, L.M. (2002) 'Measuring switching costs and the determinants of customer retention in internet-enabled businesses: a study of the online brokerage industry', Information Systems Research, Vol. 13, pp.255-274.
10. Chin, W.W. (1995) 'Partial least squares is to LISREL as principal components analysis is to common factor analysis', Technology Studies, Vol. 2, pp.315-319.
11. Daft, R.L. and Lengel, R.H. (1984) 'Information richness: a new approach to managerial behavior and organization design', in B.M. Staw and L.L. Cummings (Eds), Research in Organization Behavior, Vol. 6, pp.191-233.
12. Davis, F.D. (1989) 'Perceived usefulness, perceived ease of use, and user acceptance of information technology', MIS Quarterly, Vol. 13, pp.319-340.
13. Davis, F.D. (1993) 'Perceived usefulness, perceived ease of use and user acceptance of information technologies', MIS Quarterly, Vol. 13, pp.475-487.
14. Eastlick, M. A. and Lotz, S. (1999) 'Profiling potential adopters and non-adopters of an interactive electronic shopping medium', Int. J. Retail and Distribution Management, Vol. 27, pp.209-223. ePaynews.com (2006) Statistics for Mobile Commerce. Available at: http://www.epaynews.com/ statistics/mcommstats.html. FIND (2004) Available at: http://www.find.org.tw/ 0105/howmany/howmany_disp.asp?id=93.
15. Fishbein, M. and Ajzen, I. (1975) Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research. Reading, MA: Addison-Wesley.
16. Fornell, C. (1982) A second generation of multivariate analysis methods (I and II). New York, NY: Praeger.
17. Fornell, C. and Larcker, C. (1981) 'Structural equation models with unobservable variables and measurement error', Journal of Marketing Research, Vol. 18, pp.39-50.
18. Fulk, J., Schmitz, J. and Steinfield, C.W. (1990) 'A social influence model technology use', J. Fulk and C. W. Steinfield (Eds), Organizations and Communication Technology (pp.117-140). Newbury Park, CA: Sage Publications.
19. FuIk, J., Schmitz, J. and Steinfield, C.W. (1990) 'A social Influence model technology use', Organizations and Communication Technology, pp.117-140.
20. Gefen, D., Karahanna, E. and Straub, D.W. (2003) 'Trust and TAM in online shopping: an integrated model', MIS Quarterly, Vol. 27, pp.51-90.
21. Hair, J.F. Jr., Anderson, R.E., Tatham, R.L. and Black, W.C. (1995) Multivariate Data Analysis. Englewood Cliffs, NJ: Prentice Hall.
22. Han, S., Mustonen, P., Seppanen, M. and Kallio, M. (2006) 'Physicians' acceptance of mobile communication technology: an exploratory study', Int. J. Mobile Communications, Vol. 4, pp.210-230.
23. 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', Int. J. Mobile Communications, Vol. 5, pp.409-422.
24. Jackson, C.M., Chow, S. and Leitch, R.A. (1997) 'Toward and understanding of the behavioral intention to use an information system', Decision Sciences, Vol. 28, pp.357-389.
25. Junglas, I. (2007) 'On the usefulness and ease of use of location-based services: insights into the information system innovator's dilemma', Int. J. Mobile Communications, Vol. 5, pp.389-408.
26. Kalakota, R. and Robinson, M. (2001) E-Business 2.0: Roadmap for Success, (2nd ed.). Boston, MA: Addison Wesley.
27. 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 Quarterly, Vol. 23, pp.183-213.
28. Lai, V.S. and Li, H.L. (2005) 'Technology acceptance model for internet banking: an invariance analysis', Information and Management, Vol. 42, pp.373-386.
29. Liker, J.K. and Sindi, A.A. (1997) 'User acceptance of expert systems: a test of the theory of reasoned action', Journal of Engineering and Technology Management, Vol. 14, pp.147-173.
30. Lou, H., Luo, W. and Strong, D. (2000) 'Perceived critical mass effect on groupware acceptance', European Journal of Information System, Vol. 9, pp.91-103.
31. Lu, J., Wand, L.Z. and Yu, CS. (2007) 'Is TAM for wireless mobile data services applicable in China? A survey report from Zhejiang China', Int. J. Mobile Communications, Vol. 5, pp. 11-31.
32. Lucas, H.C and Spitler, V.K. (2000) 'Implementation in a world of workstations and networks', Information and Management, Vol. 38, pp.119-128.
33. Markus, M.L. (1990) 'Toward a critical mass theory of interactive media: universal access, interdependence a diffusion', J. Fulk and C. Steinfield (Eds), Organizations and Communication Technology (pp. 194-218). Newbury Park, CA: Sage.
34. Markus, M.L. (1990) 'Toward a critical mass theory of interactive media: universal access, interdependence a diffusion', Organizations and Communication Technology, pp. 194-218.
35. Mathieson, K., Peacock, E. and Chin, W. (2001) 'Extending the technology acceptance model: the influence of perceived user resources', Database for Advances in Information Systems, Vol. 32, pp.86-112.
36. Moon, J.W. and Kim, Y.G. (2001) 'Extending the TAM for a world-wide-web context', Information and Management, Vol. 38, pp.217-230.
37. Moore, G.C. and Benbasat, I. (1991) 'Development of an instrument to measure the perceptions of adopting and information technology innovation', Information Systems Research, Vol. 2, pp. 192-222.
38. Ovum (2003) Available at: http://www.find.org.tw/0105/news/ 0105_news_disp.asp?news_id=2520.
39. Rice, R.E. and Love, G. (1987) 'Electronic emotion: socio-emotion content in a computer-mediated communication network', Communication Research, Vol. 14, pp.85-108.
40. Rogers, E.M. (1995) Diffusion of Innovations (4th ed.). New York, NY: The Free Press.
41. Salancik, G.R. and Pfeffer, J.A. (1978) 'Social information processing approach to job attitudes and task design', Administrative Science Quarterly, Vol. 23, pp.224-253.
42. Schmitz, J. and Fulk, J. (1991) 'Organizational colleagues, media richness and electronic mail: a test of the social influence model of technology use', Communication Research, Vol. 18, pp.39-54.
43. Shih, H.P. (2004) 'Extended technology acceptance model of internet utilization behavior', Information and Management, Vol. 41, pp.719-729.
44. Okazaki, S. (2006) 'What do we know about mobile internet adopters? A cluster analysis', Information and Management, Vol. 43, pp.127-141.
45. Short, J., Ederyn, W. and Bruce, C. (1976) The Social Psychology of Telecommunications. London, UK: John Wiley and Sons.
46. Spears, R. and Lea, M. (1991) 'Social influence and the influence of the social in computermediated communication', M. Lea (Ed.), Contexts of Computer-Mediated Communization (pp.30-65).
47. Sproull, L. and Kiesler, S. (1986) 'Reducing social context cues: electronic mail in organizational communication', Management Science, Vol. 32, pp.1492-1512.
48. Szajna, B. (1994) 'Software evaluation and choice: predictive malidation of the technology acceptance instrument', MIS Quarterly, Vol. 18, pp.319-324.
49. Tan, M. and Teo, T.S.H. (2000) 'Factors influencing the adoption of internet banking', Journal of the Association for Information Systems, Vol. 1, pp. 1-4-2.
50. Teo, T. and Ranganathan, C (2004) 'Adopters and non-adopters of business-to-business electronic commerce in Singapore', Information and Management, Vol. 42, pp.89-102.
51. Teo, T., Tan, M. and Peck, S.N. (2004) 'Adopters and non-adopters of internet stock trading in Singapore', Behavior and Information Technology, Vol. 23, pp.211-233.
52. Timo, K., Annu, R. and Manne, K. (2006) 'Predicting consumer acceptance in mobile services: empirical evidence from an experimental end user environment', Int. J. Mobile Communications, Vol. 4, pp.418-435.
53. Venkatesh, V. and Davis, F.D. (2000) 'A theoretical extension of the technology acceptance model: four longitudinal field studies', Management Science, Vol. 46, pp.186-204.
54. Wu, J-H. and Wang, S-C. (2005) 'What drives mobile commerce? An empirical evaluation of the revised technology acceptance model', Information and Management, Vol. 42, pp.719-729.