Exploring the impact of use context on mobile hedonic services adoption: An empirical study on mobile gaming in China

Computers in Human Behavior

Volumn 27, Issue 2, 2011, Pages 890-898

  Liu, Yong ^a   Li, Hongxiu ^b  

^a ÅBO AKADEMI UNIVERSITY   (Finland)

^b UNIVERSITY OF TURKU   (Finland)

Author keywords

Cognitive concentration; Mobile game; Mobile services; Perceived usefulness; Technology acceptance model; Use context

Indexed keywords

COGNITIVE CONCENTRATION; MOBILE GAME; MOBILE SERVICES; PERCEIVED USEFULNESS; TECHNOLOGY ACCEPTANCE MODEL; USE CONTEXT;

CONCENTRATION (PROCESS); SURVEYS; TELECOMMUNICATION EQUIPMENT;

TECHNOLOGY;

EID: 79551471468     PISSN: 07475632     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.chb.2010.11.014     Document Type: Article

References (49)

1. R. Agarwal, and E. Karahanna Time flies when you are having fun: Cognitive absorption and beliefs about information technology usage MIS Quarterly 24 4 2000 665 694
2. I. Ajzen, and M. Fishbein Understanding attitudes and predicting social behavior. Englewood Cliffs 1980 Prentice-Hall NJ
3. Bouwman, H.; Van de Wijngaert, L.; & Vos, H. (2008). Context-sensitive mobile services for police officers: A re-assessment of TAM. In: Proceedings of the 7th International Conference on Mobile Business (pp. 191-200). Barcelona.
4. Chiu, Y.; Chipchase, J.; & Jung, Y. (2007). Personal TV: A qualitative study of mobile TV users. In: Proceedings of 5th European Conference on EuroITV 2007 (pp. 195-204). Springer.
5. J. Chung, and F.B. Tan Antecedents of perceived playfulness: An exploratory study on user acceptance of general information-searching websites Information and Management 41 7 2004 869 881
6. China Internet Network Information Center (CNNIC). (2010). 26th Statistical Report on Internet Development in China. Retrieved September 22, 2010, from http://www.aliresearch.com/wp-content/uploads/2010/07/CNNIC- 26thnetwork.pdf.
7. M. Csikszentmihalyi, and J. LeFevre Optimal experience in work and leisure Journal of Personality and Social Psychology 56 5 1989 815 822
8. T. Dahlberg, N. Mallat, J. Ondrus, and A. Zmijewska Past, present and future of mobile payments research: A literature review Electronic Commerce Research and Application 7 2 2008 165 181
9. F.D. Davis Perceived usefulness, perceived ease of use, and user acceptance of information technology MIS Quarterly 13 3 1989 319 340
10. F.D. Davis, R. Bagozzi, and P. Warshaw Extrinsic and intrinsic motivation to use computers in the workplace Journal of Applied Social Psychology 22 14 1992 1111 1132
11. C.D. Fornell, and F. Larcker Evaluating structural equation models with unobservable variables and measurement errors Journal of Marketing Research 18 1981 39 50
12. Garnter (2010). Gartner Says Worldwide Mobile Gaming Revenue to Grow 19 Percent in 2010. Retrieved June 8, 2010, from http://www.gartner.com/it/page. jsp?id=1370213.
13. J. Ghani, and S. Deshpande Task characteristics and the experience of optimal flow in human-computer interaction Journal of Psychology 128 4 1994 381 391
14. I. Ha, Y. Yoon, and M. Choi Determinants of adoption of mobile games under mobile broadband wireless access environment Information & Management 44 3 2007 276 286
15. H. Heijden Factors influencing the usage of website: The case of generic portal in the Netherlands Information & Management 40 6 2003 541 549
16. D.L. Hoffman, and T.P. Novak Marketing in hypermedia computer-mediated environments: Conceptual foundations Journal of Marketing 60 3 1996 50 68
17. D.L. Hoffman, and T.P. Novak A new marketing paradigm for electronic commerce The Information Society 13 1 1997 43 54
18. iResearch Consulting Group. (2010a). iResearch China Online Game Industry Research Report 2009-2010. Retrieved June 8, 2010, from http://www.iresearch. com.cn/Re port/1366.html. (In Chinese).
19. iResearch Consulting Group. (2010b). iResearch China Mobile Game User Investigation Report 2009. Retrieved June 17, 2010, from http://report. iresearch.cn/1354.html, accessed on. (In Chinese).
20. Y. Jung, B. Perez-Mira, and B. Wiley-Patton Consumer adoption of mobile TV: Examining psychological flow and media content Computers in Human Behavior 25 1 2009 123 129
21. B. Kim, M. Choi, and I. Han User behaviors toward mobile data services: The role of perceived fee and prior experience Expert Systems with Applications 36 4 2009 8528 8536
22. M. Koufaris Applying the technology acceptance model and flow theory to online consumer behavior Information Systems Research 13 2 2002 205 223
23. P. Legris, J. Ingham, and P. Collerette Why do people use information technology? A critical review of the technology acceptance model Information & Management 40 3 2003 191 204
24. Y.Q. Li, J.Y. Qi, and H.Y. Shu Review of relationships among variables in TAM Tsinghua Science & Technology 13 3 2008 273 278
25. C.-H. Liao, C.-W. Tsou, and M.-F. Huang Factors influencing the usage of 3G mobile services in Taiwan Online Information Review 31 6 2007 759 774
26. C.-H. Liao, C.-W. Tsou, and Y.-C. Shu The roles of perceived enjoyment and price perception in determining acceptance of multimedia-on-demand International Journal of Business and Information 3 1 2008 27 52
27. S.-S. Liaw, and H.-M. Huang An investigation of user attitudes toward search engines as an information retrieval tool Computers in Human Behavior 19 6 2003 751 765
28. Y. Liu, and H.-X. Li Mobile internet diffusion in China: An empirical study Industrial Management & Data Systems 110 3 2010 309 324
29. Y. Liu, H.-X. Li, and C. Carlsson Factors driving the adoption of m-learning: An empirical study Computers & Education 55 3 2010 1211 1219
30. Y. Lu, T. Zhou, and B. Wang 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 25 1 2009 29 39
31. N. Mallat Exploring consumer adoption of mobile payments-A qualitative study Journal of Strategic Information Systems 16 4 2007 413 432
32. N. Mallat, M. Rossi, V.K. Tuunainen, and A. Öörni An empirical investigation of mobile ticketing service adoption in public transportation Personal and Ubiquitous Computing 12 1 2008 57 65
33. N. Mallat, M. Rossi, V.K. Tuunainen, and A. Öörni The impact of use context on mobile services acceptance. The case of mobile ticketing Information & Management 46 3 2009 190 195
34. McNeill, D. (2008). Japanese embrace the mobile phone novel. Retrieved June 16, 2010, from http://www.independent.co.uk/news/world/asia/japanese- embrace-the-mobile-phone-novel-779825.html.
35. Mobext Insight. (2009). Global Mobile: A Worldview. Retrieved June 21, 2010, from: http://www.mobext.com/insights/Mobext-GlobalMobile-final.pdf.
36. C. Moore, and I. Benbasat Development of an instrument to measure the perceptions adopting an information technology innovation Information Systems Research 2 3 1991 192 222
37. Nokia. (2007). Entertainment: A Glimpse of the Next Episode, Retrieved on June 21, 2010, from http://www.nokia.com/NOKIA-COM-1/Press-Center/Bulletin- board/pdf/NOKIA% 20INTRO%20POSTCARDS.pdf.
38. T.P. Novak, D.L. Hoffman, and Y.F. Yung Measuring the customer experience in online environments: A structural modeling approach Marketing Science 19 1 2000 22 42
39. J.Y.L. Thong, S. Hong, and K.Y. Tam The effects of post-adoption beliefs on the expectation-confirmation model for information technology continuance International Journal of Human Computer Studies 64 9 2006 799 810
40. L.G. Tornatzky, and K. Klein Innovation characteristics and innovation adoption implementation: A meta-analysis of findings IEEE Transactions on Engineering Management 29 1 1982 28 45
41. O. Turel, A. Serenko, and N. Bontis User acceptance of hedonic digital artifacts: A theory of consumption values perspective Information & Management 47 1 2010 53 59
42. L. Van de Wijngaert, and H. Bouwman Would you share? Predicting the potential use of a new technology Telematics and Informatics 26 1 2009 85 106
43. H. Van der Heijden User acceptance of hedonic information systems MIS Quarterly 28 4 2004 695 704
44. Van der Heijden, H.; Ogertschnig, H.; & Gast, van der Gaast, L. (2005). Effects of Context Relevance and Perceived Risk on User Acceptance of Mobile Information Services. In: Proceedings of ECIS 2005. Regensburg, Germany.
45. H. Verkasalo Contextual patterns in mobile service usage Personal and Ubiquitous Computing 13 5 2009 331 342
46. J. Webster, L.K. Trevino, and L. Ryan The dimensionality and correlates of flow in human-computer interactions Computer in Human Behavior 9 4 1993 411 426
47. Worldmapper. (2006). Data - Worldmapper: The world as you've never seen it before. Retrieved on June 10, 2010, from http://www.worldmapper.org/data/ nomap/141-world mapper-data.xls.
48. Xu, Z.; Zhang, C.; & Ling, H. (2008). A contextual acceptance model of mobile commerce based on TAM. In: Proceedings of the 3rd International Multi-conference on Computing in the Global Information Technology (pp. 75-79). Athens, Greece.
49. Y.M. Yi, and Y. Hwang Predicting the use of Web-based information systems: Self-efficacy, enjoyment, learning goal orientation, and the technology acceptance model International Journal of Human Computer Studies 59 2004 431 449