Mobile internet diffusion in China: An empirical study

Industrial Management & Data Systems

Volumn 110, Issue 3, 2010, Pages 309-324

  Liu, Yong ^a   Li, Hongxiu ^b  

^a ÅBO AKADEMI UNIVERSITY   (Finland)

^b UNIVERSITY OF TURKU   (Finland)

Author keywords

China; Communication technologies; Diffusion; Internet; Mobile communication systems

Indexed keywords

CHINA; COMMUNICATION TECHNOLOGIES; DESIGN/METHODOLOGY/APPROACH; DIFFUSION PROCESS; EMPIRICAL STUDIES; INNOVATION DIFFUSION; MOBILE COMMUNICATION SYSTEMS; MOBILE INTERNET; PARTIAL LEAST SQUARES; PERCEIVED ENJOYMENT; RESEARCH MODELS; STRUCTURAL EQUATION MODELS; USER GROUPS; USERS' PERCEPTION;

COMMUNICATION SYSTEMS; DIFFUSION; INTERNET; MOBILE DEVICES; RADIO BROADCASTING;

MOBILE TELECOMMUNICATION SYSTEMS;

EID: 77949843127     PISSN: 02635577     EISSN: None     Source Type: Journal    
DOI: 10.1108/02635571011030006     Document Type: Article

References (37)

1. Azam, M.S. and Quadddus, M. (2009), “Adoption of b2b e-commerce by the SMEs in Bangladesh: an empirical analysis”, Proceedings of Asian Business Research Conference, Dhaka, available at: www.wbiconpro.com/18%5B1%5D.-Azam-.pdf (accessed November 26, 2009).
2. Bouwman, H., Van de Wijngaert, L. and Vos, H. (2008), “Context-sensitive mobile services for police officers: a re-assessment of TAM”, Proceedings of the 7th International Conference on Mobile Business, Barcelona, pp. 191-9.
3. Chen, L., Gillenson, M.L. and Sherrell, D.L. (2002), “Enticing online consumers: an extended technology acceptance perspective”, Information & Management, Vol. 39 No. 8, pp. 705-719.
4. Cheong, J.H. and Park, M.C. (2005), “Mobile internet acceptance in Korea”, Internet Research, Vol. 15 No. 2, pp. 125-140.
5. CNNIC (2009), China Mobile Internet and 3G User Research Report 2009, available at: www.cnnic.net.cn/uploadfiles/doc/2009/10/27/102735.doc (accessed November 23, 2009).
6. Davis, F.D. (1989), “Perceived usefulness, perceived ease of use, and user acceptance of information technology”, MIS Quarterly, Vol. 13 No. 3, pp. 319-340.
7. Davis, F.D., Bagozzi, R. and Warshaw, P. (1992), “Extrinsic and intrinsic motivation to use computers in the workplace”, Journal of Applied Social Psychology, Vol. 22 No. 14, pp. 1111-32.
8. Drake, S.D., Sandler, M., Sudan, S.K., Boggs, R., Giusto, R. and Ryan, S. (2008), “Worldwide mobile worker population 2007-2011 forecast”, available at: www.workshifting.com/IDC_MobileWorker_excerpt_0_0.pdf (accessed November 24, 2009).
9. Fornell, C.D. and Larcker, F. (1981), “Evaluating structural equation models with unobservable variables and measurement errors”, Journal of Marketing Research, Vol. 18, pp. 39-50.
10. Ha, I., Yoon, Y. and Choi, M. (2007), “Determinants of adoption of mobile games under mobile broadband wireless access environment”, Information & Management, Vol. 44 No. 3, pp. 276-286.
11. Hair, J.F., Black, W.C., Babin, B.J., Anderson, R.E. and Tatham, R.L. (2006), Multivariate Data Analysis, 6th ed., Prentice-Hall, Englewood Cliffs, NJ.
12. Hsu, C.L., Lu, H.P. and Hsu, H.H. (2007), “Adoption of the mobile internet: an empirical study of multimedia message service (MMS)”, Omega, Vol. 35 No. 6, pp. 715-726.
13. iResearch (2008), iResearch China Mobile Netizen Internet Phone Acts Research Report 2008, available at: www.spforum.net/files/info-161943-777419.PDF (accessed April 30, 2009).
14. iResearch (2009), iResearch China Mobile Internet Market Report 2008-2009, available at: www.woomoo.com/down/document_09.pdf (accessed September 10, 2009).
15. Kim, H.W., Chan, H.C. and Gupta, S. (2007), “Value-based adoption of mobile internet: an empirical investigation”, Decision Support Systems, Vol. 43 No. 1, pp. 116-126.
16. Kurnia, S., Smith, S.P. and Lee, H. (2006), “Consumers' perception of mobile internet in Australia”, e-Business Review, Vol. 5 No. 1, pp. 19-32.
17. Lee, M.K.O., Cheung, C.M.K. and Chen, Z. (2005), “Acceptance of internet-based learning medium: the role of extrinsic and intrinsic motivation”, Information & Management, Vol. 42 No. 8, pp. 1095-104.
18. Liao, H.L. and Lu, H.P. (2008), “The role of experience and innovation characteristics in the adoption and continued use of e-learning websites”, Computers & Education, Vol. 51 No. 4, pp. 1405-16.
19. Lin, F.F. and Lee, G.G. (2006), “Effects of socio-technical factors on organizational intention to encourage knowledge sharing”, Management Decisions, Vol. 44 No. 1, pp. 74-88.
20. Lu, J., Yao, J.E. and Yu, C.S. (2005), “Personal innovativeness, social influence and adoption of wireless internet services via mobile technology”, Journal of Strategic Information Systems, Vol. 14 No. 3, pp. 245-268.
21. Lu, J., Liu, C., Yu, C.S. and Wang, K. (2008), “Determinants of accepting wireless mobile data services in China”, Information & Management, Vol. 45, pp. 52-64.
22. Lu, Y., Zhou, T. and Wang, B. (2009), “Exploring Chinese users' acceptance of instant messaging using the theory of planned behavior, the technology acceptance model, and the flow theory”, Computers in Human Behavior, Vol. 25 No. 1, pp. 29-39.
23. Mallat, N., Rossi, M., Tuunainen, V.K. and Öörni, A. (2008), “An empirical investigation of mobile ticketing service adoption in public transportation”, Personal and Ubiquitous Computing, Vol. 12 No. 1, pp. 57-65.
24. Moore, G.C. and Benbasat, I. (1991), “Development of an instrument to measure the perceptions of adopting an information technology innovation”, Information Systems Research, Vol. 2 No. 3, pp. 192-222.
25. Oblinger, D. (2003), “Boomers & Gen-Xers, Millennials: understanding the ‘New Students’”, EDUCAUSE Review, Vol. 38 No. 4, pp. 37-47.
26. Rogers, E.M. (1983), Diffusion of Innovations, 3rd ed., The Free Press, New York, NY.
27. Rogers, E.M. (1995), Diffusion of Innovations, 4th ed., The Free Press, New York, NY.
28. Serenko, A. (2008), “A model of user adoption of interface agents for email notification”, Interacting with Computers, Vol. 20, pp. 461-472.
29. Shin, D.H. (2007), “User acceptance of mobile internet: implication for convergence technologies”, Interacting with Computers, Vol. 19 No. 4, pp. 472-483.
30. Tan, K.S. and Eze, U.C. (2008), “An empirical study of internet-based ICT adoption among Malaysian SMEs”, Communications of the IBIMA, Vol. 1 No. 1, pp. 1-12.
31. Tan, K.S., Chong, S.C., Lin, B. and Eze, U.C. (2009), “Internet-based ICT adoption: evidence from Malaysian SMEs”, Industrial Management & Data Systems, Vol. 109 No. 2, pp. 224-244.
32. Thong, J.Y.L., Hong, S. 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, Vol. 64 No. 9, pp. 799-810.
33. Van Der Heijden, H. (2004), “User acceptance of hedonic information systems”, MIS Quarterly, Vol. 28 No. 4, pp. 695-702.
34. Van de Wijngaert, L. and Bouwman, H. (2009), “Would you share? Predicting the potential use of a new technology”, Telematics and Informatics, Vol. 26 No. 1, pp. 85-106.
35. Venkatesh, V. and Davis, F.D. (2000), “A theoretical extension of the technology acceptance model: four longitudinal field studies”, Management Science, Vol. 46 No. 2, pp. 186-204.
36. Venkatesh, V., Morris, M.G., Davis, G.B. and Davis, F.D. (2003), “User acceptance of information technology: toward a unified view”, MIS Quarterly, Vol. 27 No. 3, pp. 425-478.
37. Yi, M.Y., Jackson, J.D., Park, J.S. and Probst, J.C. (2006), “Understanding information technology acceptance by individual professionals: toward an integrative view”, Information & Management, Vol. 43, pp. 350-363.