An examination of factors influencing consumer adoption of short message service (SMS)

Psychology and Marketing

Volumn 25, Issue 8, 2008, Pages 769-786

  Kim, Gil Son ^a   Park, Se Bum ^a,c   Oh, Jungsuk ^b  

^a Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

^b Seoul National University   (South Korea)

^c Korea Advanced Institute of Science and Technology   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 49749117933     PISSN: 07426046     EISSN: 15206793     Source Type: Journal    
DOI: 10.1002/mar.20238     Document Type: Article

References (46)

1. Azjen, I. (1991). The theory of planned behavior. Organizational Behavior & Human Decision Processes, 50, 179-211.
2. Baumgartner, H., & Homburg, C. (1996). Applications of structural equation modeling in marketing and consumer research: A review. International Journal of Research in Marketing, 13, 139-161.
3. Benbasat, I., & Moore, G. C. (1991). Development of measures for studying emerging technologies. System Sciences, Proceedings of the Twenty-Fifth Hawaii International Conference, 4, 315-324.
4. Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly, 25, 351-370.
5. Carlson, J, R., & Zmud, R. W. (1999). Channel expansion theory and the experiential nature of media richness perceptions. Academy of Management Journal, 42, 153-170.
6. Chae, M., Kim, J., Kim, H., & Ryu, H., (2002). Information quality for mobile internet services: A theoretical model with empirical validation. Electronic Markets, 12, 38-46.
7. Cronin, J. J., Brady, M. K., & Hult, T. G. (2000). Assessing the effects of quality, value, and customer satisfaction on consumer behavioral intentions in service environments. Journal of Retailing, 76, 193-218.
8. Daft, R. L., & Lengel, R. H. (1986). A proposed integration among organizational information requirements, media richness, and structural design. Management Science, 32, 554-571.
9. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13, 319-340.
10. Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35, 982-1003.
11. Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and intrinsic motivation to user computers in the workplace. Journal of Applied Social Psychology, 22, 1111-1132.
12. Dennis, A. R., & Kinney, S. T. (1998). Testing media richness theory in the new media: The effects of cues, feedback, and task equivocality. Information Systems Research, 9, 256-274.
13. Dey, A. K. (2001). Understanding and using context. Personal and Ubiquitous Computing, 5, 4-7.
14. Dodds, W. B., Monroe, K., & Grewal, D. (1991). Effects of price, brand, and store information on buyers' product evaluation. Journal of Marketing Research, 28, 307-319.
15. Durlacher Research. (2000). Mobile commerce report. Available at http://www.durlacher.com/.
16. Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unob-servable variables and measurement error. Journal of Marketing Research, 18, 39-50.
17. Gentry, L., & Calantone, R. (2002). A comparison of three models to explain shop-bot use on the web. Psychology & Marketing, 19, 945-956.
18. Grinter, R. E., & Eldridge, M. A. (2001). Y do tngrs luv txt msg? In W. Prinz, M. Jarke, Y. Rogers, K. Schmidt, and V. Wulf (Eds.), Proceedings of the 7th European Conference on Computer-Supported Cooperative Work (ECSCW) 2001, Bonn, Germany.
19. Hair, J., Jr., Anderson, R., Tatham, R., & Black, W. (1998). Multivariate data analysis. Upper Saddle River, NJ: Prentice Hall.
20. Higgins, E. T. (1997). Beyond pleasure and pain. American Psychologist, 52, 1280-1300.
21. Hong, S., & Tarn, K. (2006). Understanding the adoption of multipurpose information appliances: The case of mobile data services. Information Systems Research, 17, 162-179.
22. Hong, S., Tam, K., & Kim, J. (2006). Mobile data service fuels the desire for uniqueness. Communications of the ACM, 49, 89-94.
23. Hsu, C., Lu, H., & Hsu, H. (2007). Adoption of the mobile Internet: An empirical study of multimedia message service (MMS). The International Journal of Management Science, 35, 715-726.
24. Kamba, T., Elson, S. A., Harpold, T., Stamper, T., & Sukaviriya, P. (1996). Using small screen space more efficiently. Proceedings of the 1996 ACM Conference on Human Factors in Computing Systems (CHI 2000), The Hague, Netherlands, April 1-6 (pp. 383-390).
25. Kim, E. (2006). Maintaining a close circle through "texting": The use of SMS (short messaging service) among Korean adolescents. Korean Journal of Journalism & Communication Studies, 50, 90-115.
26. Koufaris, M. (2002). Applying the technology acceptance model and flow theory to online consumer behavior. Information Systems Research, 13, 205-223.
27. Lai, T. T. (2004). Service quality and perceived value's impact on satisfaction, intention and usage of short message service (SMS). Information Systems Frontiers, 6, 353-368.
28. Lin, C., Shih, H., & Sher, P. J. (2007). Integrating technology readiness into technology acceptance: The TRAM model. Psychology & Marketing, 24, 641-657.
29. Markus, M. L. (1990). Critical mass contingencies for telecommunications consumers. In M. Carnevale, M. Lucertini, & S. Nicosia (Eds.), Modeling the innovation: Communications, automation, and information systems (pp. 103-112). North-Holland: Elsevier Science Publishers.
30. Monroe, K. B., & R. Krishnan. (1985). The effect of price on subjective product evaluations. In J. Jacoby and J. Olson (Eds.), Perceived quality (pp. 209-232). Lexington, MA: Lexington Books.
31. Nunnally J. C., & Bernstein, I. H. (1994). Psychometric theory. New York: McGraw-Hill, Inc.
32. Rheingold, H. (2003). Smart mobs: The next social revolution. Cambridge, MA: Perseus Publishing.
33. Rice, R. E. (1990). Computer-mediated communication system network data: Theoretical concerns and empirical examples. International Journal of Man-Machine Studies, 30, 627-647.
34. Riggins, F. J., Kriebel, C. H., & Mukhopadhyay, T. (1994). The growth of interorganizational systems in the presence of network externalities. Management Science, 40, 984-998.
35. Rogers, E. (1995). Diffusion of innovations. New York: Free Press.
36. Rondon, K. V. (2005). Asia/Pacific wireless consumer survey, 2005. IDC Document AP201340M.
37. Short, J., Williams, E., & Christie, B. (1976). The social psychology of telecommunication. London: John Wiley.
38. Turel, O., Serenko, A., & Bontis, N. (2007). User acceptance of wireless short messaging services: Deconstructing perceived value. Information & Management, 44, 63-73.
39. van der Heijden, H. (2004). User acceptance of hedonic information systems. MIS Quarterly, 28, 695-704.
40. Walther, J. B., & Burgoon, J. K. (1992). Relational communication in computer-mediated communication. Human Communication Research, 19, 50-88.
41. Wang, Y. J., & Hausman, A. (2006). Consumer adoption of Short Message Service (SMS): A suggested framework. International Journal of Technology Marketing, 1, 431-445.
42. Wu, S. (2006). Falling email, using phone mail. Munhwaillbo, July 27.
43. Xu, H., Teo, H. H., & Wang, H. (2002). Foundations of SMS commerce success: Lessons from SMS messaging and co-opetition. In R. Sprague (Ed.), Proceedings of 36th Hawaii International Conference on System Sciences (HICSS'03), Big Island, HI (pp. 90-99). Los Alamitos, CA: IEEE Computing Society Press.
44. Yan, X. (2003). Mobile data communication in China. Communications of the ACM, 46, 80-85.
45. Yan, X., Gong, M., & Thong, J. Y. L. (2006). Two tales of one service: User acceptance of short message service (SMS) in Hong Kong and China. Info, 8, 16-28.
46. Zeithaml, V. (1988). Consumer perceptions of price, quality, and value: A means-end model and synthesis of evidence. Journal of Marketing, 52, 2-22.