Web-enabled wireless technology: An exploratory study of adoption and continued use intentions

Behaviour and Information Technology

Volumn 32, Issue 11, 2013, Pages 1139-1154

  Setterstrom, Andrew J ^a   Pearson, J Michael ^b   Orwig, Robert A ^c  

^a NORTHERN ILLINOIS UNIVERSITY   (United States)

^b SOUTHERN ILLINOIS UNIVERSITY   (United States)

^c UNIVERSITY OF NORTH GEORGIA   (United States)

Author keywords

continued use; technology adoption; voluntary usage; web enabled wireless technology

Indexed keywords

CONTINUED USE; PERCEIVED USEFULNESS; PREDICTIVE ABILITIES; TECHNOLOGY ADOPTION; UNCERTAINTY AVOIDANCE; VOLUNTARY USAGE; WEB-ENABLED CELL PHONES; WIRELESS TECHNOLOGIES;

CELLULAR TELEPHONES; MOBILE PHONES; TELECOMMUNICATION EQUIPMENT;

WIRELESS TELECOMMUNICATION SYSTEMS;

EID: 84877644479     PISSN: 0144929X     EISSN: 13623001     Source Type: Journal    
DOI: 10.1080/0144929X.2012.708785     Document Type: Article

References (68)

1. Aarts, H. and Dijksterhuis, A., 2000. Habits as knowledge structures: automaticity in goal-directed behavior. Journal of Personality and Social Psychology, 78 (1), 53-63.
2. Aarts, H., Verplanken, B., and Van Knippenberg, A., 1998. Predicting behavior from actions in the past: repeated decision making or a matter of habit? Journal of Applied Social Psychology, 28 (15), 1355-1374.
3. AbuShanab, E., Pearson, J. M., and Setterstrom, A. J., 2010. Internet banking and customers' acceptance in Jordan: the unified model's perspective. Communications of the Association for Information Systems, 26, article 23.
4. Available from: http://aisel. aisnet. org/cais/vol26/iss1/23 [Accessed 12 July 2012].
5. Ajzen, I. and Fishbein, M., 2005. The influence of attitudes on behavior. In: D. Albarracin, B. T. Johnson, and M. P. Zanna, eds. The handbook of attitudes. Mahwah, NJ: Lawrence Erlbaum, 173-222.
6. Baker, J., et al., 2002. The influence of multiple store environment cues on perceived merchandise value and patronage intentions. Journal ofMarketing, 66 (April), 120-141.
7. Barclay, D., Thompson, R., and Higgins, C., 1995. The partial least squares (PLS) approach to causal modeling: personal computer adoption and use. Technology Studies, 2 (2), 285-309.
8. Bhattacherjee, A., 2001. Understanding information systems continuance: an expectation-confirmation model. MIS Quarterly, 25 (3), 351-370. (Pubitemid 33738440)
9. Chang, S. E., Chen, S. Y., and Liu, Y. H., 2009. A user study of accessing web applications via cellular phone: a model comparison approach. Behaviour & Information Technology, 28 (5), 471-484.
10. Chau, P. Y. K. and Hu, P. J., 2002. Examining a model of information technology acceptance by individual professionals: an exploratory study. Journal of Management Information Systems, 18 (4), 191-229.
11. Chen, Z. and Dubinsky, A. J., 2003. A conceptual model of perceived customer value in e-commerce: a preliminary investigation. Psychology and Marketing, 20 (4), 323-347. (Pubitemid 38613738)
12. Chin, W. W., 1998. The partial least squares approach for structural equation modeling. In: G. A. Marcoulides, ed. Modern methods for business research. Mahwah, NJ: Lawrence Erlbaum Associates, 295-336.
13. Chin, W. W., 2000. Frequently asked questions-partial least squares and PLS graph [online]. Available from: http:// disc-nt. cba. uh. edu/chin/plsfaq. htm [Accessed 5 January 2012].
14. Chin, W. W., Marcolin, B. L., and Newsted, P. R., 2003. A partial least squares latent variable modeling approach for measuring interaction effects: results from a Monte Carlo simulation study and an Electronic-mail emotion/ adoption study. Information Systems Research, 14 (2), 189-217.
15. Chiu, C. M. and Wang, E. T. G., 2008. Understanding Webbased learning continuance intention: the role of subjective task value. Information & Management, 45 (3), 194-201. (Pubitemid 351491532)
16. Chung, N. and Kwon, S. J., 2009. Effect of trust on mobile banking satisfaction: a multi-group analysis of information system success instruments. Behaviour & Information Technology, 28 (6), 549-562.
17. Cohen, J., 1988. Statistical power analysis for behavioral science. Hillsdale, NJ: Erlbaum.
18. Cronin, J. J., Jr., Brady, M. K., and Hult, G. T. M., 2002. Assessing the effects of quality, value, and customer satisfaction on consumer behavioral intentions in service environments. Journal of Retailing, 76 (2), 193-218.
19. Cyr, D., Head, M., and Ivanov, A., 2006. Design aesthetics leading to m-loyalty in mobile commerce. Information & Management, 43 (8), 950-963. (Pubitemid 44909370)
20. Davis, F. D., 1989. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13 (3), 319-339.
21. de Guinea, A. O. and Markus, M. L., 2009. Why break the habit of a lifetime? Rethinking the role of intention, habit, and emotion in continuing information technology use. MIS Quarterly, 33 (3), 433-444.
22. Dodds, W. B.,Monroe, K. B., and Grewal, D., 1991. The effects of price, brand and store image on buyer's product evaluations. Journal of Marketing Research, 28 (3), 307-319.
23. Fornell, C. and Larcker, D., 1981. Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18 (1), 39-50.
24. Gerpott, T. J., 2010. Attribute perceptions as factors explaining Mobile Internet acceptance of cellular phone customers in Germany-an empirical study comparing actual and potential adopters with distinct categories of access categories. Expert Systems with Applications, 38 (3), 2148-2162.
25. Graf, A. and Maas, P., 2008. Customer value from a customer perspective: a comprehensive review. Journal für Betriebswirtschaft, 58 (1), 1-20.
26. Ha, I., Yoon, Y., and Choi, M., 2007. Determinants of adoption of mobile games under mobile broadband wireless access environment. Information & Management, 44 (3), 276-286. (Pubitemid 46702399)
27. Hair, J. F., et al., 2006. Multivariate data analysis. 6th ed. Englewood Cliffs, NJ: Prentice Hall.
28. Hill, C. E., et al., 1998. A qualitative assessment of Arab culture and information technology transfer. Journal of Global Information Management, 6 (3), 29-38. (Pubitemid 128088094)
29. Hofstede, G., 1980. Culture's consequences: international differences in work related values. Beverly Hills, CA: Sage.
30. Howard, J. A. and Sheth, J. N., 1969. Theory of buying behavior. New York: John Wiley & Sons.
31. Ingram, M., 2010. Mary Meeker: mobile Internet will soon overtake fixed Internet. Gigaom, 12 April 2010 [online]. Available from: http://gigaom. com/2010/04/12/marymeeker-mobile-Internet-will-soon-overtake-fixed-Internet/ [Accessed 6 April 2012].
32. Kamis, A., Stern, T., and Ladik, D. M., 2010. A flow-based model of web site intentions when users customize products in business-to-customer electronic commerce. Information Systems Frontiers, 12 (2), 157-168.
33. Karahanna, E., Straub, D. W., and Chervany, N. L., 1999. Information technology adoption across time: a crosssectional comparison of pre-adoption and post adoption beliefs. MIS Quarterly, 23 (2), 183-213.
34. Karaiskos, D. C., et al., 2012. Affective and social determinants of mobile data services adoption. Behaviour & Information Technology, 31 (3), 209-219.
35. Karimi, J., Somers, T. M., and Gupta, Y. P., 2004. Impact of environmental uncertainty and task characteristics on user satisfaction with data. Information Systems Research, 15 (2), 175-193.
36. 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. (Pubitemid 46091707)
37. Kleijnen, M., Ruyter, K., and Wetzels, M., 2007. An assessment of value creation in mobile service delivery and the moderating role of time consciousness. Journal of Retailing, 83 (1), 33-46.
38. Kleijnen, M., Wetzels, M., and Ruyter, K., 2004. Consumer acceptance of wireless finance. Journal of Financial Services Marketing, 8 (3), 206-217.
39. Ko, D., Kirsch, L. J., and King, W. R., 2005. Antecedents of knowledge transfer from consultants to clients in enterprise system implementations. MIS Quarterly, 29 (1), 59-85. (Pubitemid 44151823)
40. Lee, G. and Lee, W. J., 2009. Psychological reactance to online recommendation services. Information & Management, 46 (8), 228-452.
41. Lee, I., et al., 2007. Culture-technology fit: effects of cultural characteristics on the post-adoption beliefs of mobile Internet users. International Journal of Electronic Commerce, 11 (4), 11-51.
42. Liao, H. L. and Lu, H. P., 2008. The role of experience and innovation characteristics in the adoption and continued use of e-learning web sites. Computers & Education, 51, 1405-1416.
43. Limayem, M. and Cheung, C. M. K., 2008. Understanding information systems continuance: the case of Internetbased learning technologies. Information & Management, 45 (4), 227-232. (Pubitemid 351615161)
44. Limayem, M., Hirt, S. G., and Cheung, C. M. K., 2007. How habit limits the predictive power of intention. MIS Quarterly, 31 (4), 705-737.
45. Lin, H. H. and Wang, Y. S., 2006. An examination of the determinants of customer loyalty in mobile commerce contexts. Information & Management, 43 (3), 271-282.
46. Lu, J., et al., 2008. Determinants of accepting wireless mobile data services in China. Information & Management, 45 (1), 52-64. (Pubitemid 351172635)
47. Ouellette, J. A. 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.
48. Park, J. K., Yang, S. J., and Lehto, X., 2007. Adoption of mobile technologies for Chinese consumers. Journal of Electronic Commerce Research, 8 (3), 196-206.
49. Preacher, K. J. and Hayes, A. F., 2004. SPSS and SAS procedures for estimating indirect effects in simple mediation models. Behavior Research Methods, Instruments & Computers, 36 (4), 717-731. (Pubitemid 40251423)
50. Ringle, C. M., Wende, S., and Will, S., 2005. SmartPLS 2. 0 (M3) Beta. Hamburg. http://www. smartpls. de.
51. Saade, R. and Bahli, B., 2005. The impact of cognitive absorption on perceived usefulness and perceived ease of use in on-line learning: an extension of the technology acceptance model. Information & Management, 42 (2), 317-327.
52. Shuchih, E. C. and Ying-Hui, V. P., 2011. Exploring factors influencing mobile users' intention to adopt multimedia messaging service. Behaviour & Information Technology, 30 (5), 659-672.
53. Smith, A., 2011. Smartphone adoption and usage. Pew Internet, 11 July 2001, 1-24 [online]. Available from: http://pewInternet. org/Reports/2011/ Smartphones. aspx [Accessed 4 April 2012].
54. Srite, M. and Karahanna, E., 2006. The role of espoused national culture values in technology acceptance. MIS Quarterly, 30 (3), 679-704. (Pubitemid 46061266)
55. Straub, D., Keil, M., and Brenner, W., 1997. Testing the technology acceptance model across cultures: a three country study. Information & Management, 33 (1), 1-11. (Pubitemid 127403234)
56. Sun, H. and Zhang, P., 2006. Causal relationships between perceived enjoyment and perceived ease of use: an alternative approach. Journal of the Association for Information Systems, 7 (9), 618-644.
57. Turel, O., Serenko, A., and Bontis, N., 2007. User acceptance of wireless short messaging services: deconstructing perceived value. Information & Management, 44 (1), 63-73. (Pubitemid 46027483)
58. Turel, O., Serenko, A., and Bontis, N., 2010. User acceptance of hedonic digital artifacts: a theory of consumption values perspective. Information & Management, 47 (1), 53-59.
59. Van der Heijden, H., Ogertschnig, M., and van der Gaast, L., 2005. Effects of context relevance and perceived risk on user acceptance ofmobile information services. In Proceedings of the thirteenth European conference on information systems (ECIS), 26-28 May, Regensburg, Germany.
60. Vandenberg, R. J. and Lance, C. E., 2000. A review and synthesis of the measurement invariance literature: suggestions, practices, and recommendations for organizational research. Organizational Research Methods, 3 (1), 4-70.
61. Venkatesh, V., et al., 2003. User acceptance of information technology: toward a unified view. MIS Quarterly, 27 (3), 425-478.
62. Verplanken, B., Aarts, H., and Van Kippenberg, A., 1997. Habit, information acquisition, and the process of making travel mode choices. European Journal of Social Psychology, 27 (5), 539-560.
63. Voss, G. B., Parasuraman, A., and Grewal, D., 1998. The roles of price, performance, and expectations in determining satisfaction in service exchanges. The Journal of Marketing, 62 (4), 46-61.
64. Wixom, B. H. and Todd, P. A., 2005. A theoretical integration of user satisfaction and technology acceptance. Information Systems Research, 16 (1), 85-102. (Pubitemid 40701110)
65. Woodman, R. W., Sawyer, J. E., and Griffin, R. W., 1993. Towards a theory of organizational creativity. Academy of Management Review, 18, 293-321.
66. Wu, J. and Liu, D., 2007. The effects of trust and enjoyment on intention to play online games. Journal of Electronic Commerce Research, 8 (2), 128-140.
67. Zeithaml, V. A., 1988. Consumer perceptions of price, quality and value: a means-end model and synthesis of evidence. Journal of Marketing, 52 (July), 2-22.
68. Zhou, T., 2011. An empirical examination of users' postadoption behavior of mobile services. Behaviour & Information Technology, 30 (2), 241-250.