Predicting determinants and moderating factors of mobile phone data flow service adoption

Proceedings - 2014 7th International Joint Conference on Computational Sciences and Optimization, CSO 2014

Volumn , Issue , 2014, Pages 390-394

  Li, Qi ^a   Yang, Dong ^a   Chen, Xi ^a  

^a XIDIAN UNIVERSITY   (China)

Author keywords

Mobile Phone Data Flow Service; mobile service; the moderating factor; Unified Theory of Acceptance and Use of Technology (UTAUT)

Indexed keywords

CELLULAR TELEPHONES; COMPUTATION THEORY; DATA FLOW ANALYSIS; DATA TRANSFER; MOBILE TELECOMMUNICATION SYSTEMS; REGRESSION ANALYSIS;

FACILITATING CONDITIONS; MOBILE NETWORK OPERATORS; MOBILE PHONE DATUM; MOBILE SERVICE; MODERATING FACTORS; STRUCTURAL EQUATION MODELING; THE UNIFIED THEORY OF ACCEPTANCE AND USE OF TECHNOLOGY(UTAUT); THEORETICAL FRAMEWORK;

ECONOMIC AND SOCIAL EFFECTS;

EID: 84911367813     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CSO.2014.82     Document Type: Conference Paper

References (22)

1. Z. Deng, "Understanding public users' acceptance of mobile health service," International Journal of Mobile Communications, Vol. 11 (4), pp. 351-373, 2013.
2. T. J. Gerpott and S. Thomas, "Empirical research on mobile Internet usage: A meta-analysis of the literature," Telecommunications Policy, Vol. 38(3), pp. 291-310, 2014.
3. S. J. Hong, K. Y. Tam, and J. Kim, "Mobile Data Service Fuels the Desire for Uniqueness," Communications of the ACM, Vol. 49(9), pp. 89-94, 2006.
4. I. Ha, Y. Yoon, and M. Choi, "Determinants of Adoption of Mobile Games under Mobile Broadband Wireless Access Environment," Information and Management, Vol. 44(3), pp. 276-286, 2007.
5. T. Zhou, Y. Lu, and B. Wang, "Integrating TTF and UTAUT to explain mobile banking user adoption," Computers in Human Behavior, Vol. 26(4), pp. 760-767, 2010.
6. H. Sun and P. Zhang, "The role of moderating factors in user technology acceptance," International Journal Human-Computer Studies, Vol. 64(2), pp. 53-78, 2006.
7. J. K. Park, "Adoption of mobile technologies for Chinese consumers," Journal of Electronic Commerce Research, Vol. 8(3), pp.196-206, 2007.
8. P. Song, C. Zhang, and P. Zhang, "Online information product design: The influence of product integration on brand extension," Decision Support Systems, Vol.54 (2), pp. 826-837, 2013.
9. V. Venkatesh, M. Michael, D. Gordon, and D. Fred, "User acceptance of information technology: toward a unified view," Management Information Systems Quarterly, Vol. 27(3), pp. 425-478, 2003.
10. S. J. Hong and K. Y. Tam, "Understanding the Adoption o f Multipurpose Information Appliances: The Case o f Mobile Data Services," Information Systems Research, Vol. 17( 2), pp. 162-179, 2006.
11. Q. Min, J. I. Shaobo, and Q. U. Gang, "Mobile Commerce User Acceptance Study in China: A Revised UTAUT Model," Tsinghua science and technology, Vol. 13(3), pp. 257-264, 2008.
12. I. Im and S. Hong, "An international comparison of technology adoption: Testing the UTAUT model," Information & Management, Vol. 48(1), pp. 1-8, 2011.
13. A. Y. L. Chong, "Predicting m-commerce adoption determinants: A neural network approach," Expert System with Applications, Vol. 40(2), pp. 523-530, 2013.
14. V. Venkatesh and V. Ramesh, "Usability of Web and Wireless Sites: Extending the Applicability of the Microsoft Usability Guidelines Instrument," Information Systems Technical Reports and Working Paper, 2002.
15. J. K. Park, "Adoption of mobile technologies for Chinese consumers", Journal of Electronic Commerce Research, Vol. 8(3), pp.196-206, 2007.
16. A. B. Susan, R. D. Alan, andV. Venkatesh, "Predicting Collaboration Technology Use: Integrating Technology Adopt ion and Collaboration Research," Journal of Management Informat ion Systems, Vol. 27(2), pp. 9-53, 2010.
17. R. A. W. Rhodes, "The New Governance: Governing without Government," Political Studies, Vol. 44(4), pp. 652-667, 1996.
18. Y. S. Wang, M. C. Wu, and H. Y. Wang, "Investigating the determinants and age and gender differences in the acceptance of mobile learning," British Journal of Educational Technology, Vol. 40(1), pp. 92-118, 2009.
19. B. Hernàndez, J. Jiménez, and M. JoséMartín, "Age, gender and income: do they really moderate online shopping behavior?" Online Information Review, Vol. 35(1), pp.113-133, 2011.
20. E. Ernovianti, N. K. N. Mat, U. Kassim, R. Rashid, and M. S. M. Shaari, "The Usage of Internet Banking Service among Higher Learning Students in Malaysia," American Journal of Economics June, Vol. 2(4), pp. 105-108, 2012.
21. P. Song, C. Zhang, and P. Zhang, "Online information product design: The influence of product integration on brand extension," Decision Support Systems, Vol. 54(2), pp. 826-837, 2013.
22. J. Schoonenboom, "Using an adapted, task-level technology acceptance model to explain why instructors in higher education intend to use some learning management system tools more than others," Computers & Education, Vol. 71, pp. 247-256, 2014.